更新到HyperLPR3版本
tunmx
2 years ago
parent
7ae4d385e1
commit
0864e05f76
@ -1,15 +1,30 @@
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# Editor
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.idea
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cmake-build-debug/*
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3rdparty/opencv/*
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3rdparty/ncnn-bak/*
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3rdparty/MNN-bak/*
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build_android/*
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*.zip
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3rdparty/*
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full_models/*
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images/tmp/*
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.DS_Store
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build/
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install/
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build/
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.xmake
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tools/pack/pack_elixir_mb01/
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examples/*
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doxygen/
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build/
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.vscode/
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3rdparty_hyper_inspire_op
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*.so
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__pycache__
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build/
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dist/
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hyperlpr3.egg-info/
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venv/
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*.pyc
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*~
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*.swp
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.vscode
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# Build files
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Prj-Linux/lpr/TEST_*
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Prj-Linux/*build*/
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*.pyc
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/Prj-PHP/build
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/Prj-ROS/build
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/Prj-ROS/devel
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/Prj-ROS/logs
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/Prj-ROS/.catkin_tools
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@ -1,11 +0,0 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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<component name="TestRunnerService">
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<option name="PROJECT_TEST_RUNNER" value="Unittests" />
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</component>
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</module>
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@ -1,4 +1,8 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.5" project-jdk-type="Python SDK" />
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<component name="CMakeWorkspace" PROJECT_DIR="$PROJECT_DIR$" />
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<component name="XMakeProjectSettings">
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<option name="currentArchitecture" value="x86_64" />
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<option name="workingDirectory" value="$PROJECT_DIR$" />
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</component>
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</project>
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@ -0,0 +1,161 @@
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cmake_minimum_required(VERSION 3.10.2)
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project(HyperLPR3-Source)
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set(CMAKE_CXX_STANDARD 11)
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set(LIBRARY_NAME hyperlpr3)
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option( BUILD_SHARE "Build shared libs" ON )
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option( BUILD_SAMPLES "Build samples demo" OFF )
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option( BUILD_TEST "Build unit-test exec" OFF )
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set(PATH_3RDPARTY ${CMAKE_CURRENT_SOURCE_DIR}/3rdparty_hyper_inspire_op)
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# find all cpp file
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file(GLOB_RECURSE SRC_BUFFER_MODULE_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/src/buffer_module/*.cpp)
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file(GLOB_RECURSE SRC_CONTEXT_MODULE_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/src/context_module/*.cpp)
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file(GLOB_RECURSE SRC_NN_MODULE_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/src/nn_module/*.cpp)
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file(GLOB_RECURSE SRC_NN_IMPL_MODULE_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/src/nn_implementation_module/*.cpp)
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file(GLOB SRC_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/src/*.cpp)
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# local files
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set(SRC_INFERENCE_HELPER_LOCAL_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/src/inference_helper_module/inference_helper.cpp cpp/src/inference_helper_module/inference_helper_mnn.cpp)
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# include src header
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include_directories(${CMAKE_CURRENT_SOURCE_DIR}/cpp/src)
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set(SRC_C_CPP_FILES ${SRC_BUFFER_MODULE_FILES}
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${SRC_CONTEXT_MODULE_FILES}
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${SRC_LOADER_MODULE_FILES}
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${SRC_NN_MODULE_FILES}
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${SRC_NN_IMPL_MODULE_FILES}
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${SRC_SLOG_MODULE_FILES}
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${SRC_FILES}
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${SRC_INFERENCE_HELPER_LOCAL_FILES})
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# find all c file for c_api
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file(GLOB_RECURSE CAPI_CC_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/c_api/*.cc)
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include_directories(${CMAKE_CURRENT_SOURCE_DIR}/cpp/c_api)
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include_directories(${CMAKE_CURRENT_SOURCE_DIR}/cpp/platform)
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# must use mnn
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add_definitions("-DINFERENCE_HELPER_ENABLE_MNN")
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set(LINK_THIRD_LIBS pthread MNN)
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if (ANDROID)
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
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set(CMAKE_C_FLAGS "${CMAKE_CXX_FLAGS}")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
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file(GLOB_RECURSE NATIVE_CPP_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/platform/jni/android/*.cpp)
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find_package(OpenCV REQUIRED)
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include_directories(${MNN_INCLUDE_DIRS})
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link_directories(${MNN_LIBS})
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add_library(${LIBRARY_NAME} SHARED ${NATIVE_CPP_FILES} ${SRC_C_CPP_FILES} ${CAPI_CC_FILES})
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target_link_libraries(${LIBRARY_NAME} ${OpenCV_LIBS} jnigraphics log -Wl,--whole-archive MNN -Wl,--no-whole-archive)
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elseif(IOS)
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# TODO: Not implement
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else ()
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# Build Linux or MacOS
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if (BUILD_CUDA)
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# TODO: Not implement
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elseif (BUILD_LINUX_ARM7)
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message("[BUILD]Linux Armv7")
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add_definitions("-DLINUX_ARM7")
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set(PLAT linux-arm32)
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# MNN Third party dependence
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set(MNN_INCLUDE_DIRS ${PATH_3RDPARTY}/MNN-2.2.0/${PLAT}-static/include)
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set(MNN_LIBS ${PATH_3RDPARTY}/MNN-2.2.0/${PLAT}-static/lib)
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# OpenCV Third party dependence
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set(OpenCV_DIR ${PATH_3RDPARTY}/opencv/opencv-linux-armhf/share/OpenCV)
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set(OpenCV_STATIC_INCLUDE_DIR ${PATH_3RDPARTY}/opencv/opencv-linux-armhf/include/)
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find_package(OpenCV REQUIRED)
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elseif (BUILD_LINUX_ARM64)
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# TODO: Not implement
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else()
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# Local Build
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message("[BUILD]Local")
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if (APPLE)
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set(PLAT darwin)
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else()
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set(PLAT linux)
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endif ()
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# MNN Third party dependence
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set(MNN_INCLUDE_DIRS ${PATH_3RDPARTY}/MNN-2.2.0/${PLAT}-static/include)
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set(MNN_LIBS ${PATH_3RDPARTY}/MNN-2.2.0/${PLAT}-static/lib)
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# OpenCV Third party dependence
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set(OpenCV_DIR ${PATH_3RDPARTY}/opencv-4.5.1/${PLAT}/lib/cmake/opencv4)
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set(OpenCV_STATIC_INCLUDE_DIR ${PATH_3RDPARTY}/opencv-4.5.1/${PLAT}/include/opencv4)
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find_package(OpenCV REQUIRED)
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endif()
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endif()
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if (NOT ANDROID)
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# mnn
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message(MNN_INCLUDE_DIRS=${MNN_INCLUDE_DIRS})
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message(MNN_LIBS=${MNN_LIBS})
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include_directories(${MNN_INCLUDE_DIRS})
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link_directories(${MNN_LIBS})
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# opencv
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message(OpenCV_Version: ${OpenCV_VERSION})
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message(libraries: ${OpenCV_LIBS})
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message(libraries path: ${OpenCV_DIR})
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message(OpenCV_INCLUDE_DIRS=${OpenCV_STATIC_INCLUDE_DIR})
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include_directories(${OpenCV_STATIC_INCLUDE_DIR})
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if (BUILD_SAMPLES)
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# built samples exec
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add_executable(ContextSample ${CMAKE_CURRENT_SOURCE_DIR}/cpp/samples/sample_context.cpp ${SRC_C_CPP_FILES})
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target_link_libraries(ContextSample ${OpenCV_LIBS} ${LINK_THIRD_LIBS} )
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add_executable(SplitDetSample ${CMAKE_CURRENT_SOURCE_DIR}/cpp/samples/sample_split_model.cpp ${SRC_C_CPP_FILES})
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target_link_libraries(SplitDetSample ${OpenCV_LIBS} ${LINK_THIRD_LIBS} )
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add_executable(CAPISample ${CMAKE_CURRENT_SOURCE_DIR}/cpp/samples/sample_capi.cpp ${SRC_C_CPP_FILES} ${CAPI_CC_FILES})
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target_link_libraries(CAPISample ${OpenCV_LIBS} ${LINK_THIRD_LIBS} )
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endif()
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if (BUILD_TEST)
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if (ENABLE_BENCHMARK_TEST)
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message([Test]Open Benchmark Test)
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add_definitions(-DENABLE_BENCHMARK_TEST)
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endif ()
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# # catch2
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include_directories(${PATH_3RDPARTY}/catch2)
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file(GLOB_RECURSE TEST_C_CPP_FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/test/*.cpp)
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add_executable(UnitTest ${TEST_C_CPP_FILES} ${SRC_C_CPP_FILES} ${CAPI_CC_FILES})
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target_link_libraries(UnitTest ${OpenCV_LIBS} ${LINK_THIRD_LIBS})
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endif()
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if (BUILD_SHARE)
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# build dynamic library
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add_library(${LIBRARY_NAME} SHARED ${SRC_C_CPP_FILES} ${CAPI_CC_FILES})
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target_link_libraries(${LIBRARY_NAME} ${OpenCV_LIBS} ${LINK_THIRD_LIBS} )
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set(SRC_RKNN_RELATED ${CMAKE_CURRENT_SOURCE_DIR}/cpp/src/inference_helper_rknn.cpp)
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set(SRC_C_CPP_FILES ${SRC_C_CPP_FILES} )
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endif()
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endif()
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set(CMAKE_INSTALL_PREFIX ${PROJECT_BINARY_DIR}/install/hyperlpr3)
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message(CMAKE_INSTALL_PREFIX=${CMAKE_INSTALL_PREFIX})
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install(DIRECTORY resource DESTINATION ./)
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if (BUILD_SAMPLES)
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install(TARGETS ContextSample DESTINATION ./bin)
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install(TARGETS CAPISample DESTINATION ./bin)
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install(TARGETS SplitDetSample DESTINATION ./bin)
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endif()
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if (BUILD_SHARE)
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install(TARGETS ${LIBRARY_NAME} DESTINATION ./lib)
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install(FILES ${CMAKE_CURRENT_SOURCE_DIR}/cpp/c_api/hyper_lpr_sdk.h DESTINATION ./include)
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endif ()
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if (BUILD_TEST)
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install(TARGETS UnitTest DESTINATION test)
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endif ()
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Binary file not shown.
@ -1,155 +0,0 @@
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#coding=utf-8
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import cv2
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import numpy as np
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from keras import backend as K
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from keras.models import *
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from keras.layers import *
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chars = [u"京", u"沪", u"津", u"渝", u"冀", u"晋", u"蒙", u"辽", u"吉", u"黑", u"苏", u"浙", u"皖", u"闽", u"赣", u"鲁", u"豫", u"鄂", u"湘", u"粤", u"桂",
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u"琼", u"川", u"贵", u"云", u"藏", u"陕", u"甘", u"青", u"宁", u"新", u"0", u"1", u"2", u"3", u"4", u"5", u"6", u"7", u"8", u"9", u"A",
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u"B", u"C", u"D", u"E", u"F", u"G", u"H", u"J", u"K", u"L", u"M", u"N", u"P", u"Q", u"R", u"S", u"T", u"U", u"V", u"W", u"X",
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u"Y", u"Z",u"港",u"学",u"使",u"警",u"澳",u"挂",u"军",u"北",u"南",u"广",u"沈",u"兰",u"成",u"济",u"海",u"民",u"航",u"空"
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]
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class LPR():
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def __init__(self,model_detection,model_finemapping,model_seq_rec):
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self.watch_cascade = cv2.CascadeClassifier(model_detection)
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self.modelFineMapping = self.model_finemapping()
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self.modelFineMapping.load_weights(model_finemapping)
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self.modelSeqRec = self.model_seq_rec(model_seq_rec)
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def computeSafeRegion(self,shape,bounding_rect):
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top = bounding_rect[1] # y
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bottom = bounding_rect[1] + bounding_rect[3] # y + h
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left = bounding_rect[0] # x
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right = bounding_rect[0] + bounding_rect[2] # x + w
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min_top = 0
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max_bottom = shape[0]
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min_left = 0
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max_right = shape[1]
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if top < min_top:
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top = min_top
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if left < min_left:
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left = min_left
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if bottom > max_bottom:
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bottom = max_bottom
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if right > max_right:
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right = max_right
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return [left,top,right-left,bottom-top]
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def cropImage(self,image,rect):
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x, y, w, h = self.computeSafeRegion(image.shape,rect)
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return image[y:y+h,x:x+w]
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def detectPlateRough(self,image_gray,resize_h = 720,en_scale =1.08 ,top_bottom_padding_rate = 0.05):
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if top_bottom_padding_rate>0.2:
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print("error:top_bottom_padding_rate > 0.2:",top_bottom_padding_rate)
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exit(1)
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height = image_gray.shape[0]
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padding = int(height*top_bottom_padding_rate)
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scale = image_gray.shape[1]/float(image_gray.shape[0])
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image = cv2.resize(image_gray, (int(scale*resize_h), resize_h))
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image_color_cropped = image[padding:resize_h-padding,0:image_gray.shape[1]]
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image_gray = cv2.cvtColor(image_color_cropped,cv2.COLOR_RGB2GRAY)
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watches = self.watch_cascade.detectMultiScale(image_gray, en_scale, 2, minSize=(36, 9),maxSize=(36*40, 9*40))
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cropped_images = []
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for (x, y, w, h) in watches:
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x -= w * 0.14
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w += w * 0.28
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y -= h * 0.15
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h += h * 0.3
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cropped = self.cropImage(image_color_cropped, (int(x), int(y), int(w), int(h)))
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cropped_images.append([cropped,[x, y+padding, w, h]])
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return cropped_images
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def fastdecode(self,y_pred):
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results = ""
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confidence = 0.0
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table_pred = y_pred.reshape(-1, len(chars)+1)
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res = table_pred.argmax(axis=1)
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for i,one in enumerate(res):
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if one<len(chars) and (i==0 or (one!=res[i-1])):
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results+= chars[one]
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confidence+=table_pred[i][one]
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confidence/= len(results)
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return results,confidence
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def model_seq_rec(self,model_path):
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width, height, n_len, n_class = 164, 48, 7, len(chars)+ 1
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rnn_size = 256
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input_tensor = Input((164, 48, 3))
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x = input_tensor
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base_conv = 32
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for i in range(3):
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x = Conv2D(base_conv * (2 ** (i)), (3, 3))(x)
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x = BatchNormalization()(x)
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x = Activation('relu')(x)
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x = MaxPooling2D(pool_size=(2, 2))(x)
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conv_shape = x.get_shape()
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x = Reshape(target_shape=(int(conv_shape[1]), int(conv_shape[2] * conv_shape[3])))(x)
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x = Dense(32)(x)
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x = BatchNormalization()(x)
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x = Activation('relu')(x)
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gru_1 = GRU(rnn_size, return_sequences=True, kernel_initializer='he_normal', name='gru1')(x)
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gru_1b = GRU(rnn_size, return_sequences=True, go_backwards=True, kernel_initializer='he_normal', name='gru1_b')(x)
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gru1_merged = add([gru_1, gru_1b])
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gru_2 = GRU(rnn_size, return_sequences=True, kernel_initializer='he_normal', name='gru2')(gru1_merged)
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gru_2b = GRU(rnn_size, return_sequences=True, go_backwards=True, kernel_initializer='he_normal', name='gru2_b')(gru1_merged)
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x = concatenate([gru_2, gru_2b])
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x = Dropout(0.25)(x)
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x = Dense(n_class, kernel_initializer='he_normal', activation='softmax')(x)
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base_model = Model(inputs=input_tensor, outputs=x)
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base_model.load_weights(model_path)
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return base_model
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def model_finemapping(self):
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input = Input(shape=[16, 66, 3]) # change this shape to [None,None,3] to enable arbitraty shape input
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x = Conv2D(10, (3, 3), strides=1, padding='valid', name='conv1')(input)
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x = Activation("relu", name='relu1')(x)
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x = MaxPool2D(pool_size=2)(x)
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x = Conv2D(16, (3, 3), strides=1, padding='valid', name='conv2')(x)
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x = Activation("relu", name='relu2')(x)
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x = Conv2D(32, (3, 3), strides=1, padding='valid', name='conv3')(x)
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x = Activation("relu", name='relu3')(x)
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x = Flatten()(x)
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output = Dense(2,name = "dense")(x)
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output = Activation("relu", name='relu4')(output)
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model = Model([input], [output])
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return model
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def finemappingVertical(self,image,rect):
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resized = cv2.resize(image,(66,16))
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resized = resized.astype(np.float)/255
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res_raw= self.modelFineMapping.predict(np.array([resized]))[0]
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res =res_raw*image.shape[1]
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res = res.astype(np.int)
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H,T = res
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H-=3
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if H<0:
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H=0
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T+=2;
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if T>= image.shape[1]-1:
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T= image.shape[1]-1
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rect[2] -= rect[2]*(1-res_raw[1] + res_raw[0])
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rect[0]+=res[0]
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image = image[:,H:T+2]
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image = cv2.resize(image, (int(136), int(36)))
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return image,rect
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def recognizeOne(self,src):
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x_tempx = src
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x_temp = cv2.resize(x_tempx,( 164,48))
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x_temp = x_temp.transpose(1, 0, 2)
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y_pred = self.modelSeqRec.predict(np.array([x_temp]))
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y_pred = y_pred[:,2:,:]
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return self.fastdecode(y_pred)
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def SimpleRecognizePlateByE2E(self,image):
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images = self.detectPlateRough(image,image.shape[0],top_bottom_padding_rate=0.1)
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res_set = []
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for j,plate in enumerate(images):
|
||||
plate, rect =plate
|
||||
image_rgb,rect_refine = self.finemappingVertical(plate,rect)
|
||||
res,confidence = self.recognizeOne(image_rgb)
|
||||
res_set.append([res,confidence,rect_refine])
|
||||
return res_set
|
||||
@ -1,201 +0,0 @@
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
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|
||||
|
||||
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|
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||||
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||||
@ -1,9 +1,15 @@
|
||||
*.iml
|
||||
.gradle
|
||||
/local.properties
|
||||
/.idea
|
||||
/.idea/caches
|
||||
/.idea/libraries
|
||||
/.idea/modules.xml
|
||||
/.idea/workspace.xml
|
||||
/.idea/navEditor.xml
|
||||
/.idea/assetWizardSettings.xml
|
||||
.DS_Store
|
||||
/build
|
||||
/captures
|
||||
.externalNativeBuild
|
||||
.src/main/cpp/CMakeFiles
|
||||
.cxx
|
||||
local.properties
|
||||
|
||||
@ -1,12 +1 @@
|
||||
*.iml
|
||||
app.iml
|
||||
.gradle
|
||||
/local.properties
|
||||
/.idea/libraries
|
||||
/.idea/modules.xml
|
||||
/.idea/workspace.xml
|
||||
.DS_Store
|
||||
/build
|
||||
/captures
|
||||
.externalNativeBuild
|
||||
.src/main/cpp/CMakeFiles
|
||||
@ -1,7 +0,0 @@
|
||||
# For more information about using CMake with Android Studio, read the
|
||||
# documentation: https://d.android.com/studio/projects/add-native-code.html
|
||||
|
||||
# Sets the minimum version of CMake required to build the native library.
|
||||
|
||||
cmake_minimum_required(VERSION 3.4.1)
|
||||
add_subdirectory(src/main/cpp)
|
||||
@ -1,164 +0,0 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<module external.linked.project.id=":app" external.linked.project.path="$MODULE_DIR$" external.root.project.path="$MODULE_DIR$/.." external.system.id="GRADLE" type="JAVA_MODULE" version="4">
|
||||
<component name="FacetManager">
|
||||
<facet type="android-gradle" name="Android-Gradle">
|
||||
<configuration>
|
||||
<option name="GRADLE_PROJECT_PATH" value=":app" />
|
||||
</configuration>
|
||||
</facet>
|
||||
<facet type="native-android-gradle" name="Native-Android-Gradle">
|
||||
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|
||||
<option name="SELECTED_BUILD_VARIANT" value="debug-armeabi-v7a" />
|
||||
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|
||||
</facet>
|
||||
<facet type="android" name="Android">
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
<option name="RES_FOLDERS_RELATIVE_PATH" value="file://$MODULE_DIR$/src/main/res;file://$MODULE_DIR$/build/generated/res/rs/debug;file://$MODULE_DIR$/build/generated/res/resValues/debug" />
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
</component>
|
||||
<component name="NewModuleRootManager" LANGUAGE_LEVEL="JDK_1_7">
|
||||
<output url="file://$MODULE_DIR$/build/intermediates/classes/debug" />
|
||||
<output-test url="file://$MODULE_DIR$/build/intermediates/classes/test/debug" />
|
||||
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|
||||
<content url="file://$MODULE_DIR$">
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/main/cpp" isTestSource="false" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/main/cpp/src" isTestSource="false" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/apt/debug" isTestSource="false" generated="true" />
|
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<sourceFolder url="file://$MODULE_DIR$/build/generated/source/aidl/debug" isTestSource="false" generated="true" />
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<sourceFolder url="file://$MODULE_DIR$/build/generated/source/buildConfig/debug" isTestSource="false" generated="true" />
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||||
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/rs/debug" isTestSource="false" generated="true" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/build/generated/res/rs/debug" type="java-resource" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/build/generated/res/resValues/debug" type="java-resource" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/apt/androidTest/debug" isTestSource="true" generated="true" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/aidl/androidTest/debug" isTestSource="true" generated="true" />
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||||
<sourceFolder url="file://$MODULE_DIR$/build/generated/source/buildConfig/androidTest/debug" isTestSource="true" generated="true" />
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<sourceFolder url="file://$MODULE_DIR$/build/generated/source/rs/androidTest/debug" isTestSource="true" generated="true" />
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||||
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<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/res" type="java-test-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/resources" type="java-test-resource" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/assets" type="java-test-resource" />
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||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/aidl" isTestSource="true" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/java" isTestSource="true" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/jni" isTestSource="true" />
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||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/rs" isTestSource="true" />
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<sourceFolder url="file://$MODULE_DIR$/src/androidTestDebug/shaders" isTestSource="true" />
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<sourceFolder url="file://$MODULE_DIR$/src/testDebug/res" type="java-test-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/testDebug/resources" type="java-test-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/testDebug/assets" type="java-test-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/main/resources" type="java-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/main/assets" type="java-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/main/aidl" isTestSource="false" />
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<sourceFolder url="file://$MODULE_DIR$/src/main/java" isTestSource="false" />
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||||
<sourceFolder url="file://$MODULE_DIR$/src/main/rs" isTestSource="false" />
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<sourceFolder url="file://$MODULE_DIR$/src/test/res" type="java-test-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/test/resources" type="java-test-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/test/assets" type="java-test-resource" />
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<sourceFolder url="file://$MODULE_DIR$/src/test/aidl" isTestSource="true" />
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<sourceFolder url="file://$MODULE_DIR$/src/test/java" isTestSource="true" />
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<sourceFolder url="file://$MODULE_DIR$/src/test/jni" isTestSource="true" />
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<sourceFolder url="file://$MODULE_DIR$/src/test/shaders" isTestSource="true" />
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<sourceFolder url="file://$MODULE_DIR$/src/androidTest/res" type="java-test-resource" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/resources" type="java-test-resource" />
|
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<sourceFolder url="file://$MODULE_DIR$/src/androidTest/assets" type="java-test-resource" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/aidl" isTestSource="true" />
|
||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/java" isTestSource="true" />
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||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/jni" isTestSource="true" />
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||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/rs" isTestSource="true" />
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||||
<sourceFolder url="file://$MODULE_DIR$/src/androidTest/shaders" isTestSource="true" />
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||||
<excludeFolder url="file://$MODULE_DIR$/.externalNativeBuild" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/generated/not_namespaced_r_class_sources" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/generated/source/r" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/assets" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/blame" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/build-info" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/check-manifest" />
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<excludeFolder url="file://$MODULE_DIR$/build/intermediates/classes" />
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<excludeFolder url="file://$MODULE_DIR$/build/intermediates/cmake" />
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<excludeFolder url="file://$MODULE_DIR$/build/intermediates/incremental-classes" />
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<excludeFolder url="file://$MODULE_DIR$/build/intermediates/incremental-runtime-classes" />
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||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/incremental-verifier" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/instant-run-apk" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/instant-run-resources" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/javaPrecompile" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/jniLibs" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/manifest-checker" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/manifests" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/prebuild" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/reload-dex" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/res" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/resources" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/rs" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/shaders" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/split-apk" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/splits-support" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/symbols" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/intermediates/transforms" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/outputs" />
|
||||
<excludeFolder url="file://$MODULE_DIR$/build/tmp" />
|
||||
</content>
|
||||
<orderEntry type="jdk" jdkName="Android API 27 Platform" jdkType="Android SDK" />
|
||||
<orderEntry type="sourceFolder" forTests="false" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:support-vector-drawable:27.1.1@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:support-core-utils:27.1.1@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: android.arch.lifecycle:livedata-core:1.1.0@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: android.arch.lifecycle:runtime:1.1.0@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: android.arch.lifecycle:common:1.1.0@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:support-annotations:27.1.1@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: android.arch.lifecycle:viewmodel:1.1.0@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support.constraint:constraint-layout:1.1.2@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test.espresso:espresso-idling-resource:3.0.2@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test:runner:1.0.2@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.github.bumptech.glide:glide:3.8.0@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: android.arch.core:runtime:1.1.0@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: com.squareup:javawriter:2.1.1@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:animated-vector-drawable:27.1.1@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test.espresso:espresso-core:3.0.2@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: com.google.code.findbugs:jsr305:2.0.1@jar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: javax.inject:javax.inject:1@jar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: junit:junit:4.12@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:support-core-ui:27.1.1@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: org.hamcrest:hamcrest-core:1.3@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:support-compat:27.1.1@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: org.greenrobot:eventbus:3.0.0@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support.constraint:constraint-layout-solver:1.1.2@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:support-fragment:27.1.1@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: com.android.support.test:monitor:1.0.2@aar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: org.hamcrest:hamcrest-library:1.3@jar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: org.hamcrest:hamcrest-integration:1.3@jar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: com.android.support:appcompat-v7:27.1.1@aar" level="project" />
|
||||
<orderEntry type="library" name="Gradle: android.arch.core:common:1.1.0@jar" level="project" />
|
||||
<orderEntry type="library" scope="TEST" name="Gradle: net.sf.kxml:kxml2:2.3.0@jar" level="project" />
|
||||
<orderEntry type="module" module-name="openCVLibrary342" />
|
||||
</component>
|
||||
</module>
|
||||
@ -1,65 +1,44 @@
|
||||
apply plugin: 'com.android.application'
|
||||
plugins {
|
||||
id 'com.android.application'
|
||||
}
|
||||
|
||||
android {
|
||||
compileSdkVersion 27
|
||||
buildToolsVersion '27.0.3'
|
||||
compileSdk 28
|
||||
|
||||
defaultConfig {
|
||||
applicationId "pr.platerecognization"
|
||||
minSdkVersion 19
|
||||
targetSdkVersion 22
|
||||
applicationId "com.hyperai.hyperlpr_sdk_demo"
|
||||
minSdk 22
|
||||
targetSdk 28
|
||||
versionCode 1
|
||||
versionName "1.0"
|
||||
testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
|
||||
externalNativeBuild {
|
||||
cmake {
|
||||
cppFlags "-std=c++11"
|
||||
// cppFlags "-std=c++11 -frtti -fexceptions"
|
||||
// abiFilters 'armeabi-v7a'
|
||||
arguments '-DANDROID_STL=gnustl_static'
|
||||
// arguments '-DANDROID_STL=gnustl_shared'
|
||||
// '-DANDROID_ABI=armeabi-v7a'
|
||||
}
|
||||
}
|
||||
ndk {
|
||||
// Specifies the ABI configurations of your native
|
||||
// libraries Gradle should build and package with your APK.
|
||||
// abiFilters 'x86', 'x86_64', 'armeabi', 'armeabi-v7a', 'arm64-v8a', 'mips', 'mips64'
|
||||
abiFilters 'armeabi-v7a'
|
||||
}
|
||||
|
||||
testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
|
||||
}
|
||||
|
||||
buildTypes {
|
||||
release {
|
||||
minifyEnabled false
|
||||
proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
|
||||
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
|
||||
}
|
||||
}
|
||||
|
||||
sourceSets.main {
|
||||
jni.srcDirs = [] // This prevents the auto generation of Android.mk
|
||||
jniLibs.srcDirs = ['libs','src/main/cpp/opencv342/sdk/native/libs']
|
||||
//jniLibs.srcDirs =['src/main/libs','src/main/jniLibs']
|
||||
}
|
||||
/* externalNativeBuild {
|
||||
cmake {
|
||||
path 'src/main/cpp/CMakeLists.txt'
|
||||
}
|
||||
}*/
|
||||
externalNativeBuild {
|
||||
cmake {
|
||||
path 'src/main/cpp/CMakeLists.txt'
|
||||
}
|
||||
compileOptions {
|
||||
sourceCompatibility JavaVersion.VERSION_1_8
|
||||
targetCompatibility JavaVersion.VERSION_1_8
|
||||
}
|
||||
}
|
||||
|
||||
dependencies {
|
||||
implementation fileTree(include: ['*.jar'], dir: 'libs')
|
||||
implementation 'com.android.support:appcompat-v7:27.1.1'
|
||||
implementation 'com.android.support.constraint:constraint-layout:1.1.2'
|
||||
testImplementation 'junit:junit:4.12'
|
||||
androidTestImplementation 'com.android.support.test:runner:1.0.2'
|
||||
androidTestImplementation 'com.android.support.test.espresso:espresso-core:3.0.2'
|
||||
api 'com.github.bumptech.glide:glide:3.8.0'
|
||||
|
||||
implementation 'org.greenrobot:eventbus:3.0.0'
|
||||
implementation project(':openCVLibrary342')
|
||||
implementation 'com.android.support:appcompat-v7:28.0.0'
|
||||
implementation 'com.android.support.constraint:constraint-layout:2.0.4'
|
||||
|
||||
implementation 'androidx.appcompat:appcompat:1.2.0'
|
||||
implementation 'com.google.android.material:material:1.3.0'
|
||||
implementation 'androidx.constraintlayout:constraintlayout:2.0.4'
|
||||
implementation project(path: ':hyperlpr3')
|
||||
testImplementation 'junit:junit:4.+'
|
||||
androidTestImplementation 'androidx.test.ext:junit:1.1.2'
|
||||
androidTestImplementation 'androidx.test.espresso:espresso-core:3.3.0'
|
||||
implementation 'com.github.smuyyh:ImageSelector:3.0'
|
||||
}
|
||||
@ -0,0 +1,26 @@
|
||||
package com.hyperai.hyperlpr_sdk_demo;
|
||||
|
||||
import android.content.Context;
|
||||
|
||||
import androidx.test.platform.app.InstrumentationRegistry;
|
||||
import androidx.test.ext.junit.runners.AndroidJUnit4;
|
||||
|
||||
import org.junit.Test;
|
||||
import org.junit.runner.RunWith;
|
||||
|
||||
import static org.junit.Assert.*;
|
||||
|
||||
/**
|
||||
* Instrumented test, which will execute on an Android device.
|
||||
*
|
||||
* @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
|
||||
*/
|
||||
@RunWith(AndroidJUnit4.class)
|
||||
public class ExampleInstrumentedTest {
|
||||
@Test
|
||||
public void useAppContext() {
|
||||
// Context of the app under test.
|
||||
Context appContext = InstrumentationRegistry.getInstrumentation().getTargetContext();
|
||||
assertEquals("com.hyperai.hyperlpr_sdk_demo", appContext.getPackageName());
|
||||
}
|
||||
}
|
||||
@ -1,59 +1,59 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
package="pr.platerecognization">
|
||||
|
||||
xmlns:tools="http://schemas.android.com/tools"
|
||||
package="com.hyperai.hyperlpr_sdk_demo">
|
||||
|
||||
<uses-feature android:name="android.hardware.camera" />
|
||||
<uses-feature android:name="android.hardware.camera.autofocus" />
|
||||
<!-- 4.2以上的手机需要的权限 -->
|
||||
<uses-permission android:name="android.permission.INTERACT_ACROSS_USERS_FULL" />
|
||||
<uses-permission android:name="android.permission.INTERACT_ACROSS_USERS_FULL"
|
||||
tools:ignore="ProtectedPermissions" />
|
||||
<uses-permission android:name="android.permission.RESTART_PACKAGES" />
|
||||
<!-- 访问INTERNET的权限 -->
|
||||
<uses-permission android:name="android.permission.INTERNET" >
|
||||
</uses-permission>
|
||||
<uses-permission android:name="android.permission.ACCESS_NETWORK_STATE" >
|
||||
</uses-permission>
|
||||
<uses-permission android:name="android.permission.CHANGE_WIFI_STATE" >
|
||||
</uses-permission>
|
||||
<uses-permission android:name="android.permission.ACCESS_WIFI_STATE" >
|
||||
</uses-permission>
|
||||
<uses-permission android:name="android.permission.INTERNET"></uses-permission>
|
||||
<uses-permission android:name="android.permission.ACCESS_NETWORK_STATE"></uses-permission>
|
||||
<uses-permission android:name="android.permission.CHANGE_WIFI_STATE"></uses-permission>
|
||||
<uses-permission android:name="android.permission.ACCESS_WIFI_STATE"></uses-permission>
|
||||
<!-- 手机信息 -->
|
||||
<uses-permission android:name="android.permission.READ_PHONE_STATE" />
|
||||
<!-- ************************************* -->
|
||||
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
|
||||
<!-- 在SD卡中创建文件与删除文件权限 -->
|
||||
<uses-permission android:name="android.permission.MOUNT_UNMOUNT_FILESYSTEMS" />
|
||||
<uses-permission android:name="android.permission.MOUNT_UNMOUNT_FILESYSTEMS"
|
||||
tools:ignore="ProtectedPermissions" />
|
||||
<!-- 传感器 -->
|
||||
<uses-permission android:name="android.permission.VIBRATE" />
|
||||
<!-- 摄像头权限 -->
|
||||
<uses-permission android:name="android.permission.CAMERA" >
|
||||
</uses-permission>
|
||||
<uses-permission android:name="android.permission.CAMERA"></uses-permission>
|
||||
<uses-permission android:name="android.permission.FLASHLIGHT" />
|
||||
|
||||
<uses-permission android:name="com.meilapp.meila.permission.MIPUSH_RECEIVE" />
|
||||
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />
|
||||
|
||||
<!-- 开启闪光灯权限 -->
|
||||
<uses-permission android:name="android.permission.FLASHLIGHT" />
|
||||
|
||||
<!--for android 10-->
|
||||
<!---android:requestLegacyExternalStorage="true" -->
|
||||
<application
|
||||
android:allowBackup="true"
|
||||
android:icon="@mipmap/ic_launcher"
|
||||
android:label="@string/app_name"
|
||||
android:roundIcon="@mipmap/ic_launcher_round"
|
||||
android:supportsRtl="true"
|
||||
android:theme="@style/AppTheme">
|
||||
<activity android:name="pr.platerecognization.MainActivity">
|
||||
android:theme="@style/Theme.HyperLPR_SDK_Demo">
|
||||
<activity
|
||||
android:name=".MainActivity"
|
||||
android:exported="true">
|
||||
<intent-filter>
|
||||
<action android:name="android.intent.action.MAIN" />
|
||||
|
||||
<category android:name="android.intent.category.LAUNCHER" />
|
||||
</intent-filter>
|
||||
</activity>
|
||||
<activity android:name=".CameraActivity"
|
||||
/>
|
||||
<activity android:name=".CameraActivity" />
|
||||
<!-- <activity-->
|
||||
<!-- android:name=".CameraPlate"-->
|
||||
<!-- android:screenOrientation="landscape"-->
|
||||
<!-- >-->
|
||||
<!-- </activity>-->
|
||||
</application>
|
||||
|
||||
</manifest>
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,65 +0,0 @@
|
||||
# For more information about using CMake with Android Studio, read the
|
||||
# documentation: https://d.android.com/studio/projects/add-native-code.html
|
||||
|
||||
# Sets the minimum version of CMake required to build the native library.
|
||||
|
||||
cmake_minimum_required(VERSION 3.4.1)
|
||||
#set(OpenCV_DIR /Users/mac02/Downloads/OpenCV-android/sdk/native/jni)
|
||||
set(OpenCV_DIR ${CMAKE_CURRENT_SOURCE_DIR}/opencv342/sdk/native/jni)
|
||||
#message(STATUS "路径:${CMAKE_CURRENT_SOURCE_DIR}/opencvnative3_4_2/jni}")
|
||||
find_package(OpenCV REQUIRED)
|
||||
message(STATUS "OpenCV libraries: ${OpenCV_LIBS}")
|
||||
|
||||
#include_directories(/Users/mac02/Desktop/studiospace/test/PrjAnndroid/app/src/main/cpp/include)
|
||||
#set(pathToOpenCv /Users/mac02/Downloads/OpenCV-android)
|
||||
#配置加载native依赖
|
||||
#include_directories(${pathToOpenCv}/sdk/native/jni/include)
|
||||
#动态方式加载
|
||||
#add_library( lib_opencv SHARED IMPORTED )
|
||||
#引入libopencv_java3.so文件
|
||||
#set_target_properties(lib_opencv PROPERTIES IMPORTED_LOCATION /Users/mac02/Desktop/studiospace/test/PrjAnndroid/app/src/main/jniLibs/armeabi-v7a/libopencv_java3.so)
|
||||
|
||||
|
||||
aux_source_directory(. SOURCES1)
|
||||
aux_source_directory(./src SOURCES2)
|
||||
list (APPEND SOURCES
|
||||
${SOURCES1}
|
||||
${SOURCES2}
|
||||
)
|
||||
message(STATUS "My sources: ${SOURCES}")
|
||||
add_library( # Sets the name of the library.
|
||||
hyperlpr
|
||||
|
||||
# Sets the library as a shared library.
|
||||
SHARED
|
||||
|
||||
# Provides a relative path to your source file(s).
|
||||
${SOURCES})
|
||||
|
||||
|
||||
#target_link_libraries( hyperlpr lib_opencv)
|
||||
target_link_libraries(hyperlpr jnigraphics ${OpenCV_LIBS})
|
||||
|
||||
#连接现成的第三方库
|
||||
#set(INC_DIR /Users/mac02/Desktop/studiospace/test/PrjAnndroid/app/src/main/cpp/OpencvNative/include)
|
||||
#set(LINK_DIR /Users/mac02/Desktop/studiospace/test/PrjAnndroid/app/src/main/cpp/OpencvNative/libs)
|
||||
#include_directories(OpencvNative/jni/include)
|
||||
|
||||
#include_directories(${INC_DIR}) # 用${}引用变量
|
||||
#link_directories(${LINK_DIR})
|
||||
|
||||
#aux_source_directory(./include SOURCES1)
|
||||
#aux_source_directory(./src SOURCES2)
|
||||
#list (APPEND SOURCES
|
||||
# ${SOURCES1}
|
||||
# ${SOURCES2}
|
||||
# javaWarpper.cpp
|
||||
#)
|
||||
#add_library( # Sets the name of the library.
|
||||
# hyperlpr
|
||||
|
||||
# # Sets the library as a shared library.
|
||||
# SHARED
|
||||
|
||||
# Provides a relative path to your source file(s).
|
||||
# ${SOURCES})
|
||||
@ -1,418 +0,0 @@
|
||||
# CMAKE generated file: DO NOT EDIT!
|
||||
# Generated by "Unix Makefiles" Generator, CMake Version 3.11
|
||||
|
||||
# Default target executed when no arguments are given to make.
|
||||
default_target: all
|
||||
|
||||
.PHONY : default_target
|
||||
|
||||
# Allow only one "make -f Makefile2" at a time, but pass parallelism.
|
||||
.NOTPARALLEL:
|
||||
|
||||
|
||||
#=============================================================================
|
||||
# Special targets provided by cmake.
|
||||
|
||||
# Disable implicit rules so canonical targets will work.
|
||||
.SUFFIXES:
|
||||
|
||||
|
||||
# Remove some rules from gmake that .SUFFIXES does not remove.
|
||||
SUFFIXES =
|
||||
|
||||
.SUFFIXES: .hpux_make_needs_suffix_list
|
||||
|
||||
|
||||
# Suppress display of executed commands.
|
||||
$(VERBOSE).SILENT:
|
||||
|
||||
|
||||
# A target that is always out of date.
|
||||
cmake_force:
|
||||
|
||||
.PHONY : cmake_force
|
||||
|
||||
#=============================================================================
|
||||
# Set environment variables for the build.
|
||||
|
||||
# The shell in which to execute make rules.
|
||||
SHELL = /bin/sh
|
||||
|
||||
# The CMake executable.
|
||||
CMAKE_COMMAND = /Applications/CMake.app/Contents/bin/cmake
|
||||
|
||||
# The command to remove a file.
|
||||
RM = /Applications/CMake.app/Contents/bin/cmake -E remove -f
|
||||
|
||||
# Escaping for special characters.
|
||||
EQUALS = =
|
||||
|
||||
# The top-level source directory on which CMake was run.
|
||||
CMAKE_SOURCE_DIR = /Users/mac02/Desktop/studiospace/test/PrjAnndroid/app/src/main/cpp
|
||||
|
||||
# The top-level build directory on which CMake was run.
|
||||
CMAKE_BINARY_DIR = /Users/mac02/Desktop/studiospace/test/PrjAnndroid/app/src/main/cpp
|
||||
|
||||
#=============================================================================
|
||||
# Targets provided globally by CMake.
|
||||
|
||||
# Special rule for the target rebuild_cache
|
||||
rebuild_cache:
|
||||
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||||
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|
||||
|
||||
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|
||||
namespace pr{
|
||||
class CNNRecognizer: public GeneralRecognizer{
|
||||
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|
||||
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|
||||
const int CHAR_INPUT_H = 30;
|
||||
|
||||
CNNRecognizer(std::string prototxt,std::string caffemodel);
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label recognizeCharacter(cv::Mat character);
|
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private:
|
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namespace pr{
|
||||
|
||||
cv::Mat fastdeskew(cv::Mat skewImage,int blockSize);
|
||||
// cv::Mat spatialTransformer(cv::Mat skewImage);
|
||||
|
||||
}//namepace pr
|
||||
|
||||
|
||||
#endif //SWIFTPR_FASTDESKEW_H
|
||||
@ -1,32 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 22/09/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_FINEMAPPING_H
|
||||
#define SWIFTPR_FINEMAPPING_H
|
||||
|
||||
#include <opencv2/opencv.hpp>
|
||||
#include <opencv2/dnn.hpp>
|
||||
|
||||
#include <string>
|
||||
namespace pr{
|
||||
class FineMapping{
|
||||
public:
|
||||
FineMapping();
|
||||
|
||||
|
||||
FineMapping(std::string prototxt,std::string caffemodel);
|
||||
static cv::Mat FineMappingVertical(cv::Mat InputProposal,int sliceNum=15,int upper=0,int lower=-50,int windows_size=17);
|
||||
cv::Mat FineMappingHorizon(cv::Mat FinedVertical,int leftPadding,int rightPadding);
|
||||
|
||||
|
||||
private:
|
||||
cv::dnn::Net net;
|
||||
|
||||
};
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
||||
#endif //SWIFTPR_FINEMAPPING_H
|
||||
@ -1,48 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 22/10/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_PIPLINE_H
|
||||
#define SWIFTPR_PIPLINE_H
|
||||
|
||||
#include "PlateDetection.h"
|
||||
#include "PlateSegmentation.h"
|
||||
#include "CNNRecognizer.h"
|
||||
#include "PlateInfo.h"
|
||||
#include "FastDeskew.h"
|
||||
#include "FineMapping.h"
|
||||
#include "Recognizer.h"
|
||||
#include "SegmentationFreeRecognizer.h"
|
||||
|
||||
namespace pr{
|
||||
|
||||
const std::vector<std::string> CH_PLATE_CODE{"京", "沪", "津", "渝", "冀", "晋", "蒙", "辽", "吉", "黑", "苏", "浙", "皖", "闽", "赣", "鲁", "豫", "鄂", "湘", "粤", "桂",
|
||||
"琼", "川", "贵", "云", "藏", "陕", "甘", "青", "宁", "新", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "A",
|
||||
"B", "C", "D", "E", "F", "G", "H", "J", "K", "L", "M", "N", "P", "Q", "R", "S", "T", "U", "V", "W", "X",
|
||||
"Y", "Z","港","学","使","警","澳","挂","军","北","南","广","沈","兰","成","济","海","民","航","空"};
|
||||
|
||||
const int SEGMENTATION_FREE_METHOD = 0;
|
||||
const int SEGMENTATION_BASED_METHOD = 1;
|
||||
|
||||
class PipelinePR{
|
||||
public:
|
||||
GeneralRecognizer *generalRecognizer;
|
||||
PlateDetection *plateDetection;
|
||||
PlateSegmentation *plateSegmentation;
|
||||
FineMapping *fineMapping;
|
||||
SegmentationFreeRecognizer *segmentationFreeRecognizer;
|
||||
|
||||
PipelinePR(std::string detector_filename,
|
||||
std::string finemapping_prototxt,std::string finemapping_caffemodel,
|
||||
std::string segmentation_prototxt,std::string segmentation_caffemodel,
|
||||
std::string charRecognization_proto,std::string charRecognization_caffemodel,
|
||||
std::string segmentationfree_proto,std::string segmentationfree_caffemodel
|
||||
);
|
||||
~PipelinePR();
|
||||
|
||||
std::vector<std::string> plateRes;
|
||||
std::vector<PlateInfo> RunPiplineAsImage(cv::Mat plateImage,int method);
|
||||
|
||||
};
|
||||
}
|
||||
#endif //SWIFTPR_PIPLINE_H
|
||||
@ -1,34 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 20/09/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_PLATEDETECTION_H
|
||||
#define SWIFTPR_PLATEDETECTION_H
|
||||
|
||||
#include <opencv2/opencv.hpp>
|
||||
#include <vector>
|
||||
#include "PlateInfo.h"
|
||||
|
||||
namespace pr{
|
||||
class PlateDetection{
|
||||
public:
|
||||
PlateDetection(std::string filename_cascade);
|
||||
PlateDetection();
|
||||
void LoadModel(std::string filename_cascade);
|
||||
void plateDetectionRough(cv::Mat InputImage,std::vector<pr::PlateInfo> &plateInfos,int min_w=36,int max_w=800);
|
||||
// std::vector<pr::PlateInfo> plateDetectionRough(cv::Mat InputImage,int min_w= 60,int max_h = 400);
|
||||
|
||||
|
||||
// std::vector<pr::PlateInfo> plateDetectionRoughByMultiScaleEdge(cv::Mat InputImage);
|
||||
|
||||
|
||||
|
||||
public:
|
||||
cv::CascadeClassifier cascade;
|
||||
|
||||
|
||||
};
|
||||
|
||||
}// namespace pr
|
||||
|
||||
#endif //SWIFTPR_PLATEDETECTION_H
|
||||
@ -1,126 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 20/09/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_PLATEINFO_H
|
||||
#define SWIFTPR_PLATEINFO_H
|
||||
#include <opencv2/opencv.hpp>
|
||||
namespace pr {
|
||||
|
||||
typedef std::vector<cv::Mat> Character;
|
||||
|
||||
enum PlateColor { BLUE, YELLOW, WHITE, GREEN, BLACK,UNKNOWN};
|
||||
enum CharType {CHINESE,LETTER,LETTER_NUMS,INVALID};
|
||||
|
||||
|
||||
class PlateInfo {
|
||||
public:
|
||||
std::vector<std::pair<CharType,cv::Mat>> plateChars;
|
||||
std::vector<std::pair<CharType,cv::Mat>> plateCoding;
|
||||
float confidence = 0;
|
||||
PlateInfo(const cv::Mat &plateData, std::string plateName, cv::Rect plateRect, PlateColor plateType) {
|
||||
licensePlate = plateData;
|
||||
name = plateName;
|
||||
ROI = plateRect;
|
||||
Type = plateType;
|
||||
}
|
||||
PlateInfo(const cv::Mat &plateData, cv::Rect plateRect, PlateColor plateType) {
|
||||
licensePlate = plateData;
|
||||
ROI = plateRect;
|
||||
Type = plateType;
|
||||
}
|
||||
PlateInfo(const cv::Mat &plateData, cv::Rect plateRect) {
|
||||
licensePlate = plateData;
|
||||
ROI = plateRect;
|
||||
}
|
||||
PlateInfo() {
|
||||
|
||||
}
|
||||
|
||||
cv::Mat getPlateImage() {
|
||||
return licensePlate;
|
||||
}
|
||||
|
||||
void setPlateImage(cv::Mat plateImage){
|
||||
licensePlate = plateImage;
|
||||
}
|
||||
|
||||
cv::Rect getPlateRect() {
|
||||
return ROI;
|
||||
}
|
||||
|
||||
void setPlateRect(cv::Rect plateRect) {
|
||||
ROI = plateRect;
|
||||
}
|
||||
cv::String getPlateName() {
|
||||
return name;
|
||||
|
||||
}
|
||||
void setPlateName(cv::String plateName) {
|
||||
name = plateName;
|
||||
}
|
||||
int getPlateType() {
|
||||
return Type;
|
||||
}
|
||||
|
||||
void appendPlateChar(const std::pair<CharType,cv::Mat> &plateChar)
|
||||
{
|
||||
plateChars.push_back(plateChar);
|
||||
}
|
||||
|
||||
void appendPlateCoding(const std::pair<CharType,cv::Mat> &charProb){
|
||||
plateCoding.push_back(charProb);
|
||||
}
|
||||
|
||||
// cv::Mat getPlateChars(int id) {
|
||||
// if(id<PlateChars.size())
|
||||
// return PlateChars[id];
|
||||
// }
|
||||
std::string decodePlateNormal(std::vector<std::string> mappingTable) {
|
||||
std::string decode;
|
||||
for(auto plate:plateCoding) {
|
||||
float *prob = (float *)plate.second.data;
|
||||
if(plate.first == CHINESE) {
|
||||
|
||||
decode += mappingTable[std::max_element(prob,prob+31) - prob];
|
||||
confidence+=*std::max_element(prob,prob+31);
|
||||
|
||||
|
||||
// std::cout<<*std::max_element(prob,prob+31)<<std::endl;
|
||||
|
||||
}
|
||||
|
||||
else if(plate.first == LETTER) {
|
||||
decode += mappingTable[std::max_element(prob+41,prob+65)- prob];
|
||||
confidence+=*std::max_element(prob+41,prob+65);
|
||||
}
|
||||
|
||||
else if(plate.first == LETTER_NUMS) {
|
||||
decode += mappingTable[std::max_element(prob+31,prob+65)- prob];
|
||||
confidence+=*std::max_element(prob+31,prob+65);
|
||||
// std::cout<<*std::max_element(prob+31,prob+65)<<std::endl;
|
||||
|
||||
}
|
||||
else if(plate.first == INVALID)
|
||||
{
|
||||
decode+='*';
|
||||
}
|
||||
|
||||
}
|
||||
name = decode;
|
||||
|
||||
confidence/=7;
|
||||
|
||||
return decode;
|
||||
}
|
||||
|
||||
private:
|
||||
cv::Mat licensePlate;
|
||||
cv::Rect ROI;
|
||||
std::string name ;
|
||||
PlateColor Type;
|
||||
};
|
||||
}
|
||||
|
||||
|
||||
#endif //SWIFTPR_PLATEINFO_H
|
||||
@ -1,39 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 16/10/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_PLATESEGMENTATION_H
|
||||
#define SWIFTPR_PLATESEGMENTATION_H
|
||||
|
||||
#include "opencv2/opencv.hpp"
|
||||
#include "opencv2/dnn.hpp"
|
||||
#include "PlateInfo.h"
|
||||
|
||||
namespace pr{
|
||||
|
||||
|
||||
class PlateSegmentation{
|
||||
public:
|
||||
const int PLATE_NORMAL = 6;
|
||||
const int PLATE_NORMAL_GREEN = 7;
|
||||
const int DEFAULT_WIDTH = 20;
|
||||
PlateSegmentation(std::string phototxt,std::string caffemodel);
|
||||
PlateSegmentation(){}
|
||||
void segmentPlatePipline(PlateInfo &plateInfo,int stride,std::vector<cv::Rect> &Char_rects);
|
||||
|
||||
void segmentPlateBySlidingWindows(cv::Mat &plateImage,int windowsWidth,int stride,cv::Mat &respones);
|
||||
void templateMatchFinding(const cv::Mat &respones,int windowsWidth,std::pair<float,std::vector<int>> &candidatePts);
|
||||
void refineRegion(cv::Mat &plateImage,const std::vector<int> &candidatePts,const int padding,std::vector<cv::Rect> &rects);
|
||||
void ExtractRegions(PlateInfo &plateInfo,std::vector<cv::Rect> &rects);
|
||||
cv::Mat classifyResponse(const cv::Mat &cropped);
|
||||
private:
|
||||
cv::dnn::Net net;
|
||||
|
||||
|
||||
// RefineRegion()
|
||||
|
||||
};
|
||||
|
||||
}//namespace pr
|
||||
|
||||
#endif //SWIFTPR_PLATESEGMENTATION_H
|
||||
@ -1,23 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 20/10/2017.
|
||||
//
|
||||
|
||||
|
||||
#ifndef SWIFTPR_RECOGNIZER_H
|
||||
#define SWIFTPR_RECOGNIZER_H
|
||||
|
||||
#include "PlateInfo.h"
|
||||
#include "opencv2/dnn.hpp"
|
||||
namespace pr{
|
||||
typedef cv::Mat label;
|
||||
class GeneralRecognizer{
|
||||
public:
|
||||
virtual label recognizeCharacter(cv::Mat character) = 0;
|
||||
// virtual cv::Mat SegmentationFreeForSinglePlate(cv::Mat plate) = 0;
|
||||
void SegmentBasedSequenceRecognition(PlateInfo &plateinfo);
|
||||
void SegmentationFreeSequenceRecognition(PlateInfo &plateInfo);
|
||||
|
||||
};
|
||||
|
||||
}
|
||||
#endif //SWIFTPR_RECOGNIZER_H
|
||||
@ -1,28 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 28/11/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_SEGMENTATIONFREERECOGNIZER_H
|
||||
#define SWIFTPR_SEGMENTATIONFREERECOGNIZER_H
|
||||
|
||||
#include "Recognizer.h"
|
||||
namespace pr{
|
||||
|
||||
|
||||
class SegmentationFreeRecognizer{
|
||||
public:
|
||||
const int CHAR_INPUT_W = 14;
|
||||
const int CHAR_INPUT_H = 30;
|
||||
const int CHAR_LEN = 84;
|
||||
|
||||
SegmentationFreeRecognizer(std::string prototxt,std::string caffemodel);
|
||||
std::pair<std::string,float> SegmentationFreeForSinglePlate(cv::Mat plate,std::vector<std::string> mapping_table);
|
||||
|
||||
|
||||
private:
|
||||
cv::dnn::Net net;
|
||||
|
||||
};
|
||||
|
||||
}
|
||||
#endif //SWIFTPR_SEGMENTATIONFREERECOGNIZER_H
|
||||
@ -1,107 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 26/10/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_NIBLACKTHRESHOLD_H
|
||||
#define SWIFTPR_NIBLACKTHRESHOLD_H
|
||||
|
||||
|
||||
#include <opencv2/opencv.hpp>
|
||||
using namespace cv;
|
||||
|
||||
enum LocalBinarizationMethods{
|
||||
BINARIZATION_NIBLACK = 0, //!< Classic Niblack binarization. See @cite Niblack1985 .
|
||||
BINARIZATION_SAUVOLA = 1, //!< Sauvola's technique. See @cite Sauvola1997 .
|
||||
BINARIZATION_WOLF = 2, //!< Wolf's technique. See @cite Wolf2004 .
|
||||
BINARIZATION_NICK = 3 //!< NICK technique. See @cite Khurshid2009 .
|
||||
};
|
||||
|
||||
|
||||
void niBlackThreshold( InputArray _src, OutputArray _dst, double maxValue,
|
||||
int type, int blockSize, double k, int binarizationMethod )
|
||||
{
|
||||
// Input grayscale image
|
||||
Mat src = _src.getMat();
|
||||
CV_Assert(src.channels() == 1);
|
||||
CV_Assert(blockSize % 2 == 1 && blockSize > 1);
|
||||
if (binarizationMethod == BINARIZATION_SAUVOLA) {
|
||||
CV_Assert(src.depth() == CV_8U);
|
||||
}
|
||||
type &= THRESH_MASK;
|
||||
// Compute local threshold (T = mean + k * stddev)
|
||||
// using mean and standard deviation in the neighborhood of each pixel
|
||||
// (intermediate calculations are done with floating-point precision)
|
||||
Mat test;
|
||||
Mat thresh;
|
||||
{
|
||||
// note that: Var[X] = E[X^2] - E[X]^2
|
||||
Mat mean, sqmean, variance, stddev, sqrtVarianceMeanSum;
|
||||
double srcMin, stddevMax;
|
||||
boxFilter(src, mean, CV_32F, Size(blockSize, blockSize),
|
||||
Point(-1,-1), true, BORDER_REPLICATE);
|
||||
sqrBoxFilter(src, sqmean, CV_32F, Size(blockSize, blockSize),
|
||||
Point(-1,-1), true, BORDER_REPLICATE);
|
||||
variance = sqmean - mean.mul(mean);
|
||||
sqrt(variance, stddev);
|
||||
switch (binarizationMethod)
|
||||
{
|
||||
case BINARIZATION_NIBLACK:
|
||||
thresh = mean + stddev * static_cast<float>(k);
|
||||
|
||||
break;
|
||||
case BINARIZATION_SAUVOLA:
|
||||
thresh = mean.mul(1. + static_cast<float>(k) * (stddev / 128.0 - 1.));
|
||||
break;
|
||||
case BINARIZATION_WOLF:
|
||||
minMaxIdx(src, &srcMin,NULL);
|
||||
minMaxIdx(stddev, NULL, &stddevMax);
|
||||
thresh = mean - static_cast<float>(k) * (mean - srcMin - stddev.mul(mean - srcMin) / stddevMax);
|
||||
break;
|
||||
case BINARIZATION_NICK:
|
||||
sqrt(variance + sqmean, sqrtVarianceMeanSum);
|
||||
thresh = mean + static_cast<float>(k) * sqrtVarianceMeanSum;
|
||||
break;
|
||||
default:
|
||||
CV_Error( CV_StsBadArg, "Unknown binarization method" );
|
||||
break;
|
||||
}
|
||||
thresh.convertTo(thresh, src.depth());
|
||||
|
||||
thresh.convertTo(test, src.depth());
|
||||
//
|
||||
// cv::imshow("imagex",test);
|
||||
// cv::waitKey(0);
|
||||
|
||||
}
|
||||
// Prepare output image
|
||||
_dst.create(src.size(), src.type());
|
||||
Mat dst = _dst.getMat();
|
||||
CV_Assert(src.data != dst.data); // no inplace processing
|
||||
// Apply thresholding: ( pixel > threshold ) ? foreground : background
|
||||
Mat mask;
|
||||
switch (type)
|
||||
{
|
||||
case THRESH_BINARY: // dst = (src > thresh) ? maxval : 0
|
||||
case THRESH_BINARY_INV: // dst = (src > thresh) ? 0 : maxval
|
||||
compare(src, thresh, mask, (type == THRESH_BINARY ? CMP_GT : CMP_LE));
|
||||
dst.setTo(0);
|
||||
dst.setTo(maxValue, mask);
|
||||
break;
|
||||
case THRESH_TRUNC: // dst = (src > thresh) ? thresh : src
|
||||
compare(src, thresh, mask, CMP_GT);
|
||||
src.copyTo(dst);
|
||||
thresh.copyTo(dst, mask);
|
||||
break;
|
||||
case THRESH_TOZERO: // dst = (src > thresh) ? src : 0
|
||||
case THRESH_TOZERO_INV: // dst = (src > thresh) ? 0 : src
|
||||
compare(src, thresh, mask, (type == THRESH_TOZERO ? CMP_GT : CMP_LE));
|
||||
dst.setTo(0);
|
||||
src.copyTo(dst, mask);
|
||||
break;
|
||||
default:
|
||||
CV_Error( CV_StsBadArg, "Unknown threshold type" );
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
#endif //SWIFTPR_NIBLACKTHRESHOLD_H
|
||||
@ -1,222 +0,0 @@
|
||||
#include <jni.h>
|
||||
#include <string>
|
||||
#include "include/Pipeline.h"
|
||||
|
||||
#include <android/log.h>
|
||||
#include <android/bitmap.h>
|
||||
|
||||
#include <opencv2/opencv.hpp>
|
||||
|
||||
using namespace cv;
|
||||
#define LOG_TAG "System.out"
|
||||
#define LOGI(...) __android_log_print(ANDROID_LOG_INFO,LOG_TAG,__VA_ARGS__)
|
||||
#define LOGD(...) __android_log_print(ANDROID_LOG_DEBUG,LOG_TAG,__VA_ARGS__)
|
||||
#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR,LOG_TAG,__VA_ARGS__)
|
||||
jobject mat_to_bitmap(JNIEnv * env, Mat & src, bool needPremultiplyAlpha, jobject bitmap_config){
|
||||
|
||||
jclass java_bitmap_class = (jclass)env->FindClass("android/graphics/Bitmap");
|
||||
jmethodID mid = env->GetStaticMethodID(java_bitmap_class,
|
||||
"createBitmap", "(IILandroid/graphics/Bitmap$Config;)Landroid/graphics/Bitmap;");
|
||||
|
||||
jobject bitmap = env->CallStaticObjectMethod(java_bitmap_class,
|
||||
mid, src.size().width, src.size().height, bitmap_config);
|
||||
AndroidBitmapInfo info;
|
||||
void* pixels = 0;
|
||||
|
||||
try {
|
||||
//validate
|
||||
CV_Assert(AndroidBitmap_getInfo(env, bitmap, &info) >= 0);
|
||||
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC3 || src.type() == CV_8UC4);
|
||||
CV_Assert(AndroidBitmap_lockPixels(env, bitmap, &pixels) >= 0);
|
||||
CV_Assert(pixels);
|
||||
|
||||
//type mat
|
||||
if(info.format == ANDROID_BITMAP_FORMAT_RGBA_8888){
|
||||
Mat tmp(info.height, info.width, CV_8UC4, pixels);
|
||||
if(src.type() == CV_8UC1){
|
||||
cvtColor(src, tmp, CV_GRAY2RGBA);
|
||||
} else if(src.type() == CV_8UC3){
|
||||
cvtColor(src, tmp, CV_RGB2RGBA);
|
||||
} else if(src.type() == CV_8UC4){
|
||||
if(needPremultiplyAlpha){
|
||||
cvtColor(src, tmp, COLOR_RGBA2mRGBA);
|
||||
}else{
|
||||
src.copyTo(tmp);
|
||||
}
|
||||
}
|
||||
|
||||
} else{
|
||||
Mat tmp(info.height, info.width, CV_8UC2, pixels);
|
||||
if(src.type() == CV_8UC1){
|
||||
cvtColor(src, tmp, CV_GRAY2BGR565);
|
||||
} else if(src.type() == CV_8UC3){
|
||||
cvtColor(src, tmp, CV_RGB2BGR565);
|
||||
} else if(src.type() == CV_8UC4){
|
||||
cvtColor(src, tmp, CV_RGBA2BGR565);
|
||||
}
|
||||
}
|
||||
AndroidBitmap_unlockPixels(env, bitmap);
|
||||
return bitmap;
|
||||
} catch(cv::Exception e){
|
||||
AndroidBitmap_unlockPixels(env, bitmap);
|
||||
jclass je = env->FindClass("org/opencv/core/CvException");
|
||||
if(!je) je = env->FindClass("java/lang/Exception");
|
||||
env->ThrowNew(je, e.what());
|
||||
return bitmap;
|
||||
} catch (...){
|
||||
AndroidBitmap_unlockPixels(env, bitmap);
|
||||
jclass je = env->FindClass("java/lang/Exception");
|
||||
env->ThrowNew(je, "Unknown exception in JNI code {nMatToBitmap}");
|
||||
return bitmap;
|
||||
}
|
||||
}
|
||||
|
||||
std::string jstring2str(JNIEnv* env, jstring jstr)
|
||||
{
|
||||
char* rtn = NULL;
|
||||
jclass clsstring = env->FindClass("java/lang/String");
|
||||
jstring strencode = env->NewStringUTF("GB2312");
|
||||
jmethodID mid = env->GetMethodID(clsstring, "getBytes", "(Ljava/lang/String;)[B");
|
||||
jbyteArray barr= (jbyteArray)env->CallObjectMethod(jstr,mid,strencode);
|
||||
jsize alen = env->GetArrayLength(barr);
|
||||
jbyte* ba = env->GetByteArrayElements(barr,JNI_FALSE);
|
||||
if(alen > 0)
|
||||
{
|
||||
rtn = (char*)malloc(alen+1);
|
||||
memcpy(rtn,ba,alen);
|
||||
rtn[alen]=0;
|
||||
}
|
||||
env->ReleaseByteArrayElements(barr,ba,0);
|
||||
std::string stemp(rtn);
|
||||
free(rtn);
|
||||
return stemp;
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
extern "C" {
|
||||
JNIEXPORT jlong JNICALL
|
||||
Java_pr_platerecognization_PlateRecognition_InitPlateRecognizer(
|
||||
JNIEnv *env, jobject obj,
|
||||
jstring detector_filename,
|
||||
jstring finemapping_prototxt, jstring finemapping_caffemodel,
|
||||
jstring segmentation_prototxt, jstring segmentation_caffemodel,
|
||||
jstring charRecognization_proto, jstring charRecognization_caffemodel,
|
||||
jstring segmentationfree_proto, jstring segmentationfree_caffemodel) {
|
||||
|
||||
std::string detector_path = jstring2str(env, detector_filename);
|
||||
std::string finemapping_prototxt_path = jstring2str(env, finemapping_prototxt);
|
||||
std::string finemapping_caffemodel_path = jstring2str(env, finemapping_caffemodel);
|
||||
std::string segmentation_prototxt_path = jstring2str(env, segmentation_prototxt);
|
||||
std::string segmentation_caffemodel_path = jstring2str(env, segmentation_caffemodel);
|
||||
std::string charRecognization_proto_path = jstring2str(env, charRecognization_proto);
|
||||
std::string charRecognization_caffemodel_path = jstring2str(env, charRecognization_caffemodel);
|
||||
std::string segmentationfree_proto_path = jstring2str(env, segmentationfree_proto);
|
||||
std::string segmentationfree_caffemodel_path = jstring2str(env, segmentationfree_caffemodel);
|
||||
|
||||
|
||||
pr::PipelinePR *PR = new pr::PipelinePR(detector_path,
|
||||
finemapping_prototxt_path, finemapping_caffemodel_path,
|
||||
segmentation_prototxt_path, segmentation_caffemodel_path,
|
||||
charRecognization_proto_path, charRecognization_caffemodel_path,
|
||||
segmentationfree_proto_path, segmentationfree_caffemodel_path);
|
||||
|
||||
return (jlong) PR;
|
||||
}
|
||||
|
||||
|
||||
JNIEXPORT jstring JNICALL
|
||||
Java_pr_platerecognization_PlateRecognition_SimpleRecognization(
|
||||
JNIEnv *env, jobject obj,
|
||||
jlong matPtr, jlong object_pr) {
|
||||
pr::PipelinePR *PR = (pr::PipelinePR *) object_pr;
|
||||
cv::Mat &mRgb = *(cv::Mat *) matPtr;
|
||||
cv::Mat rgb;
|
||||
cv::cvtColor(mRgb,rgb,cv::COLOR_RGBA2BGR);
|
||||
|
||||
|
||||
//1表示SEGMENTATION_BASED_METHOD在方法里有说明
|
||||
std::vector<pr::PlateInfo> list_res= PR->RunPiplineAsImage(rgb,pr::SEGMENTATION_FREE_METHOD);
|
||||
// std::vector<pr::PlateInfo> list_res= PR->RunPiplineAsImage(rgb,1);
|
||||
std::string concat_results;
|
||||
for(auto one:list_res)
|
||||
{
|
||||
//可信度
|
||||
if (one.confidence>0.7)
|
||||
concat_results+=one.getPlateName()+",";
|
||||
}
|
||||
|
||||
concat_results = concat_results.substr(0,concat_results.size()-1);
|
||||
|
||||
return env->NewStringUTF(concat_results.c_str());
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* 车牌号的详细信息
|
||||
* @param env
|
||||
* @param obj
|
||||
* @param matPtr
|
||||
* @param object_pr
|
||||
* @return
|
||||
*/
|
||||
JNIEXPORT jobject JNICALL
|
||||
Java_pr_platerecognization_PlateRecognition_PlateInfoRecognization(
|
||||
JNIEnv *env, jobject obj,
|
||||
jlong matPtr, jlong object_pr) {
|
||||
jclass plateInfo_class = env -> FindClass("pr/platerecognization/PlateInfo");
|
||||
jmethodID mid = env->GetMethodID(plateInfo_class,"<init>","()V");
|
||||
jobject plateInfoObj = env->NewObject(plateInfo_class,mid);
|
||||
|
||||
pr::PipelinePR *PR = (pr::PipelinePR *) object_pr;
|
||||
cv::Mat &mRgb = *(cv::Mat *) matPtr;
|
||||
cv::Mat rgb;
|
||||
cv::cvtColor(mRgb,rgb,cv::COLOR_RGBA2BGR);
|
||||
|
||||
//1表示SEGMENTATION_BASED_METHOD在方法里有说明
|
||||
std::vector<pr::PlateInfo> list_res= PR->RunPiplineAsImage(rgb,pr::SEGMENTATION_FREE_METHOD);
|
||||
std::string concat_results;
|
||||
pr::PlateInfo plateInfo;
|
||||
for(auto one:list_res)
|
||||
{
|
||||
//可信度
|
||||
if (one.confidence>0.7) {
|
||||
plateInfo = one;
|
||||
//车牌号
|
||||
jfieldID fid_plate_name = env->GetFieldID(plateInfo_class,"plateName","Ljava/lang/String;");
|
||||
env->SetObjectField(plateInfoObj,fid_plate_name,env->NewStringUTF(plateInfo.getPlateName().c_str()));
|
||||
|
||||
//识别区域
|
||||
Mat src = plateInfo.getPlateImage();
|
||||
|
||||
jclass java_bitmap_class = (jclass)env->FindClass("android/graphics/Bitmap$Config");
|
||||
jmethodID bitmap_mid = env->GetStaticMethodID(java_bitmap_class,
|
||||
"nativeToConfig", "(I)Landroid/graphics/Bitmap$Config;");
|
||||
jobject bitmap_config = env->CallStaticObjectMethod(java_bitmap_class, bitmap_mid, 5);
|
||||
|
||||
jfieldID fid_bitmap = env->GetFieldID(plateInfo_class, "bitmap","Landroid/graphics/Bitmap;");
|
||||
jobject _bitmap = mat_to_bitmap(env, src, false, bitmap_config);
|
||||
env->SetObjectField(plateInfoObj,fid_bitmap, _bitmap);
|
||||
return plateInfoObj;
|
||||
}
|
||||
}
|
||||
return plateInfoObj;
|
||||
|
||||
}
|
||||
|
||||
|
||||
JNIEXPORT void JNICALL
|
||||
Java_pr_platerecognization_PlateRecognition_ReleasePlateRecognizer(
|
||||
JNIEnv *env, jobject obj,
|
||||
jlong object_re) {
|
||||
// std::string hello = "Hello from C++";
|
||||
pr::PipelinePR *PR = (pr::PipelinePR *) object_re;
|
||||
delete PR;
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
Binary file not shown.
Binary file not shown.
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Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
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@ -1,2 +0,0 @@
|
||||
OPENCV_3RDPARTY_COMPONENTS:=libjpeg-turbo libwebp libpng libtiff libjasper IlmImf libprotobuf tbb cpufeatures tegra_hal
|
||||
OPENCV_EXTRA_COMPONENTS:=z dl m log
|
||||
@ -1,120 +0,0 @@
|
||||
# In order to compile your application under cygwin
|
||||
# you might need to define NDK_USE_CYGPATH=1 before calling the ndk-build
|
||||
|
||||
USER_LOCAL_PATH:=$(LOCAL_PATH)
|
||||
|
||||
USER_LOCAL_C_INCLUDES:=$(LOCAL_C_INCLUDES)
|
||||
USER_LOCAL_CFLAGS:=$(LOCAL_CFLAGS)
|
||||
USER_LOCAL_STATIC_LIBRARIES:=$(LOCAL_STATIC_LIBRARIES)
|
||||
USER_LOCAL_SHARED_LIBRARIES:=$(LOCAL_SHARED_LIBRARIES)
|
||||
USER_LOCAL_LDLIBS:=$(LOCAL_LDLIBS)
|
||||
|
||||
LOCAL_PATH:=$(subst ?,,$(firstword ?$(subst \, ,$(subst /, ,$(call my-dir)))))
|
||||
|
||||
OPENCV_TARGET_ARCH_ABI:=$(TARGET_ARCH_ABI)
|
||||
OPENCV_THIS_DIR:=$(patsubst $(LOCAL_PATH)\\%,%,$(patsubst $(LOCAL_PATH)/%,%,$(call my-dir)))
|
||||
OPENCV_MK_DIR:=$(dir $(lastword $(MAKEFILE_LIST)))
|
||||
OPENCV_3RDPARTY_LIBS_DIR:=$(OPENCV_THIS_DIR)/../3rdparty/libs/$(OPENCV_TARGET_ARCH_ABI)
|
||||
OPENCV_BASEDIR:=
|
||||
OPENCV_LOCAL_C_INCLUDES:="$(LOCAL_PATH)/$(OPENCV_THIS_DIR)/include/opencv" "$(LOCAL_PATH)/$(OPENCV_THIS_DIR)/include"
|
||||
OPENCV_MODULES:=shape ml dnn objdetect superres stitching videostab calib3d features2d highgui videoio imgcodecs video photo imgproc flann core
|
||||
OPENCV_SUB_MK:=$(call my-dir)/OpenCV-$(TARGET_ARCH_ABI).mk
|
||||
|
||||
ifeq ($(OPENCV_LIB_TYPE),)
|
||||
OPENCV_LIB_TYPE:=SHARED
|
||||
endif
|
||||
|
||||
ifeq ($(OPENCV_LIB_TYPE),SHARED)
|
||||
OPENCV_LIBS:=java3
|
||||
OPENCV_LIB_TYPE:=SHARED
|
||||
else
|
||||
OPENCV_LIBS:=$(OPENCV_MODULES)
|
||||
OPENCV_LIB_TYPE:=STATIC
|
||||
endif
|
||||
|
||||
ifeq ($(OPENCV_LIB_TYPE),SHARED)
|
||||
OPENCV_3RDPARTY_COMPONENTS:=
|
||||
OPENCV_EXTRA_COMPONENTS:=
|
||||
else
|
||||
include $(OPENCV_SUB_MK)
|
||||
endif
|
||||
|
||||
ifeq ($(OPENCV_LIB_TYPE),SHARED)
|
||||
OPENCV_LIBS_DIR:=$(OPENCV_THIS_DIR)/../libs/$(OPENCV_TARGET_ARCH_ABI)
|
||||
OPENCV_LIB_SUFFIX:=so
|
||||
else
|
||||
OPENCV_LIBS_DIR:=$(OPENCV_THIS_DIR)/../staticlibs/$(OPENCV_TARGET_ARCH_ABI)
|
||||
OPENCV_LIB_SUFFIX:=a
|
||||
OPENCV_INSTALL_MODULES:=on
|
||||
endif
|
||||
|
||||
define add_opencv_module
|
||||
include $(CLEAR_VARS)
|
||||
LOCAL_MODULE:=opencv_$1
|
||||
LOCAL_SRC_FILES:=$(OPENCV_LIBS_DIR)/libopencv_$1.$(OPENCV_LIB_SUFFIX)
|
||||
include $(PREBUILT_$(OPENCV_LIB_TYPE)_LIBRARY)
|
||||
endef
|
||||
|
||||
define add_opencv_3rdparty_component
|
||||
include $(CLEAR_VARS)
|
||||
LOCAL_MODULE:=$1
|
||||
LOCAL_SRC_FILES:=$(OPENCV_3RDPARTY_LIBS_DIR)/lib$1.a
|
||||
include $(PREBUILT_STATIC_LIBRARY)
|
||||
endef
|
||||
|
||||
ifeq ($(OPENCV_MK_$(OPENCV_TARGET_ARCH_ABI)_ALREADY_INCLUDED),)
|
||||
ifeq ($(OPENCV_INSTALL_MODULES),on)
|
||||
$(foreach module,$(OPENCV_LIBS),$(eval $(call add_opencv_module,$(module))))
|
||||
endif
|
||||
|
||||
$(foreach module,$(OPENCV_3RDPARTY_COMPONENTS),$(eval $(call add_opencv_3rdparty_component,$(module))))
|
||||
|
||||
ifneq ($(OPENCV_BASEDIR),)
|
||||
OPENCV_LOCAL_C_INCLUDES += $(foreach mod, $(OPENCV_MODULES), $(OPENCV_BASEDIR)/modules/$(mod)/include)
|
||||
endif
|
||||
|
||||
#turn off module installation to prevent their redefinition
|
||||
OPENCV_MK_$(OPENCV_TARGET_ARCH_ABI)_ALREADY_INCLUDED:=on
|
||||
endif
|
||||
|
||||
ifeq ($(OPENCV_LOCAL_CFLAGS),)
|
||||
OPENCV_LOCAL_CFLAGS := -fPIC -DANDROID -fsigned-char
|
||||
endif
|
||||
|
||||
include $(CLEAR_VARS)
|
||||
|
||||
LOCAL_C_INCLUDES:=$(USER_LOCAL_C_INCLUDES)
|
||||
LOCAL_CFLAGS:=$(USER_LOCAL_CFLAGS)
|
||||
LOCAL_STATIC_LIBRARIES:=$(USER_LOCAL_STATIC_LIBRARIES)
|
||||
LOCAL_SHARED_LIBRARIES:=$(USER_LOCAL_SHARED_LIBRARIES)
|
||||
LOCAL_LDLIBS:=$(USER_LOCAL_LDLIBS)
|
||||
|
||||
# Details: #10229
|
||||
ifeq ($(OPENCV_SKIP_ANDROID_IPP_FIX_1),)
|
||||
LOCAL_LDFLAGS += -Wl,--exclude-libs,libippicv.a
|
||||
LOCAL_LDFLAGS += -Wl,--exclude-libs,libippiw.a
|
||||
else
|
||||
ifeq ($(OPENCV_SKIP_ANDROID_IPP_FIX_2),)
|
||||
LOCAL_LDFLAGS += -Wl,-Bsymbolic
|
||||
endif
|
||||
endif
|
||||
|
||||
LOCAL_C_INCLUDES += $(OPENCV_LOCAL_C_INCLUDES)
|
||||
LOCAL_CFLAGS += $(OPENCV_LOCAL_CFLAGS)
|
||||
|
||||
ifeq ($(OPENCV_INSTALL_MODULES),on)
|
||||
LOCAL_$(OPENCV_LIB_TYPE)_LIBRARIES += $(foreach mod, $(OPENCV_LIBS), opencv_$(mod))
|
||||
else
|
||||
$(call __ndk_info,OpenCV: You should ignore warning about 'non-system libraries in linker flags' and 'opencv_java' library.)
|
||||
$(call __ndk_info, 'OPENCV_INSTALL_MODULES:=on' can be used to build APK with included OpenCV binaries)
|
||||
LOCAL_LDLIBS += -L$(call host-path,$(LOCAL_PATH)/$(OPENCV_LIBS_DIR)) $(foreach lib, $(OPENCV_LIBS), -lopencv_$(lib))
|
||||
endif
|
||||
|
||||
ifeq ($(OPENCV_LIB_TYPE),STATIC)
|
||||
LOCAL_STATIC_LIBRARIES += $(OPENCV_3RDPARTY_COMPONENTS)
|
||||
endif
|
||||
|
||||
LOCAL_LDLIBS += $(foreach lib,$(OPENCV_EXTRA_COMPONENTS), -l$(lib))
|
||||
|
||||
#restore the LOCAL_PATH
|
||||
LOCAL_PATH:=$(USER_LOCAL_PATH)
|
||||
@ -1,15 +0,0 @@
|
||||
set(OpenCV_VERSION 3.4.2)
|
||||
set(PACKAGE_VERSION ${OpenCV_VERSION})
|
||||
|
||||
set(PACKAGE_VERSION_EXACT False)
|
||||
set(PACKAGE_VERSION_COMPATIBLE False)
|
||||
|
||||
if(PACKAGE_FIND_VERSION VERSION_EQUAL PACKAGE_VERSION)
|
||||
set(PACKAGE_VERSION_EXACT True)
|
||||
set(PACKAGE_VERSION_COMPATIBLE True)
|
||||
endif()
|
||||
|
||||
if(PACKAGE_FIND_VERSION_MAJOR EQUAL 3
|
||||
AND PACKAGE_FIND_VERSION VERSION_LESS PACKAGE_VERSION)
|
||||
set(PACKAGE_VERSION_COMPATIBLE True)
|
||||
endif()
|
||||
@ -1,50 +0,0 @@
|
||||
# ===================================================================================
|
||||
# The OpenCV CMake configuration file
|
||||
#
|
||||
# ** File generated automatically, do not modify **
|
||||
#
|
||||
# Usage from an external project:
|
||||
# In your CMakeLists.txt, add these lines:
|
||||
#
|
||||
# find_package(OpenCV REQUIRED)
|
||||
# include_directories(${OpenCV_INCLUDE_DIRS}) # Not needed for CMake >= 2.8.11
|
||||
# target_link_libraries(MY_TARGET_NAME ${OpenCV_LIBS})
|
||||
#
|
||||
# Or you can search for specific OpenCV modules:
|
||||
#
|
||||
# find_package(OpenCV REQUIRED core videoio)
|
||||
#
|
||||
# If the module is found then OPENCV_<MODULE>_FOUND is set to TRUE.
|
||||
#
|
||||
# This file will define the following variables:
|
||||
# - OpenCV_LIBS : The list of all imported targets for OpenCV modules.
|
||||
# - OpenCV_INCLUDE_DIRS : The OpenCV include directories.
|
||||
# - OpenCV_ANDROID_NATIVE_API_LEVEL : Minimum required level of Android API.
|
||||
# - OpenCV_VERSION : The version of this OpenCV build: "3.4.2"
|
||||
# - OpenCV_VERSION_MAJOR : Major version part of OpenCV_VERSION: "3"
|
||||
# - OpenCV_VERSION_MINOR : Minor version part of OpenCV_VERSION: "4"
|
||||
# - OpenCV_VERSION_PATCH : Patch version part of OpenCV_VERSION: "2"
|
||||
# - OpenCV_VERSION_STATUS : Development status of this build: ""
|
||||
#
|
||||
# ===================================================================================
|
||||
|
||||
# Extract directory name from full path of the file currently being processed.
|
||||
# Note that CMake 2.8.3 introduced CMAKE_CURRENT_LIST_DIR. We reimplement it
|
||||
# for older versions of CMake to support these as well.
|
||||
if(CMAKE_VERSION VERSION_LESS "2.8.3")
|
||||
get_filename_component(CMAKE_CURRENT_LIST_DIR "${CMAKE_CURRENT_LIST_FILE}" PATH)
|
||||
endif()
|
||||
|
||||
if(NOT DEFINED OpenCV_CONFIG_SUBDIR)
|
||||
set(OpenCV_CONFIG_SUBDIR "/abi-${ANDROID_NDK_ABI_NAME}")
|
||||
endif()
|
||||
|
||||
set(OpenCV_CONFIG_PATH "${CMAKE_CURRENT_LIST_DIR}${OpenCV_CONFIG_SUBDIR}")
|
||||
if(EXISTS "${OpenCV_CONFIG_PATH}/OpenCVConfig.cmake")
|
||||
include("${OpenCV_CONFIG_PATH}/OpenCVConfig.cmake")
|
||||
else()
|
||||
if(NOT OpenCV_FIND_QUIETLY)
|
||||
message(WARNING "Found OpenCV Android Pack but it has no binaries compatible with your ABI (can't find: ${OpenCV_CONFIG_SUBDIR})")
|
||||
endif()
|
||||
set(OpenCV_FOUND FALSE)
|
||||
endif()
|
||||
@ -1,15 +0,0 @@
|
||||
set(OpenCV_VERSION 3.4.2)
|
||||
set(PACKAGE_VERSION ${OpenCV_VERSION})
|
||||
|
||||
set(PACKAGE_VERSION_EXACT False)
|
||||
set(PACKAGE_VERSION_COMPATIBLE False)
|
||||
|
||||
if(PACKAGE_FIND_VERSION VERSION_EQUAL PACKAGE_VERSION)
|
||||
set(PACKAGE_VERSION_EXACT True)
|
||||
set(PACKAGE_VERSION_COMPATIBLE True)
|
||||
endif()
|
||||
|
||||
if(PACKAGE_FIND_VERSION_MAJOR EQUAL 3
|
||||
AND PACKAGE_FIND_VERSION VERSION_LESS PACKAGE_VERSION)
|
||||
set(PACKAGE_VERSION_COMPATIBLE True)
|
||||
endif()
|
||||
@ -1,328 +0,0 @@
|
||||
# ===================================================================================
|
||||
# The OpenCV CMake configuration file
|
||||
#
|
||||
# ** File generated automatically, do not modify **
|
||||
#
|
||||
# Usage from an external project:
|
||||
# In your CMakeLists.txt, add these lines:
|
||||
#
|
||||
# find_package(OpenCV REQUIRED)
|
||||
# include_directories(${OpenCV_INCLUDE_DIRS}) # Not needed for CMake >= 2.8.11
|
||||
# target_link_libraries(MY_TARGET_NAME ${OpenCV_LIBS})
|
||||
#
|
||||
# Or you can search for specific OpenCV modules:
|
||||
#
|
||||
# find_package(OpenCV REQUIRED core videoio)
|
||||
#
|
||||
# You can also mark OpenCV components as optional:
|
||||
|
||||
# find_package(OpenCV REQUIRED core OPTIONAL_COMPONENTS viz)
|
||||
#
|
||||
# If the module is found then OPENCV_<MODULE>_FOUND is set to TRUE.
|
||||
#
|
||||
# This file will define the following variables:
|
||||
# - OpenCV_LIBS : The list of all imported targets for OpenCV modules.
|
||||
# - OpenCV_INCLUDE_DIRS : The OpenCV include directories.
|
||||
# - OpenCV_COMPUTE_CAPABILITIES : The version of compute capability.
|
||||
# - OpenCV_ANDROID_NATIVE_API_LEVEL : Minimum required level of Android API.
|
||||
# - OpenCV_VERSION : The version of this OpenCV build: "3.4.2"
|
||||
# - OpenCV_VERSION_MAJOR : Major version part of OpenCV_VERSION: "3"
|
||||
# - OpenCV_VERSION_MINOR : Minor version part of OpenCV_VERSION: "4"
|
||||
# - OpenCV_VERSION_PATCH : Patch version part of OpenCV_VERSION: "2"
|
||||
# - OpenCV_VERSION_STATUS : Development status of this build: ""
|
||||
#
|
||||
# Advanced variables:
|
||||
# - OpenCV_SHARED : Use OpenCV as shared library
|
||||
# - OpenCV_INSTALL_PATH : OpenCV location
|
||||
# - OpenCV_LIB_COMPONENTS : Present OpenCV modules list
|
||||
# - OpenCV_USE_MANGLED_PATHS : Mangled OpenCV path flag
|
||||
#
|
||||
# Deprecated variables:
|
||||
# - OpenCV_VERSION_TWEAK : Always "0"
|
||||
#
|
||||
# ===================================================================================
|
||||
|
||||
# ======================================================
|
||||
# Version variables:
|
||||
# ======================================================
|
||||
SET(OpenCV_VERSION 3.4.2)
|
||||
SET(OpenCV_VERSION_MAJOR 3)
|
||||
SET(OpenCV_VERSION_MINOR 4)
|
||||
SET(OpenCV_VERSION_PATCH 2)
|
||||
SET(OpenCV_VERSION_TWEAK 0)
|
||||
SET(OpenCV_VERSION_STATUS "")
|
||||
|
||||
include(FindPackageHandleStandardArgs)
|
||||
|
||||
if(NOT CMAKE_VERSION VERSION_LESS 2.8.8
|
||||
AND OpenCV_FIND_COMPONENTS # prevent excessive output
|
||||
)
|
||||
# HANDLE_COMPONENTS was introduced in CMake 2.8.8
|
||||
list(APPEND _OpenCV_FPHSA_ARGS HANDLE_COMPONENTS)
|
||||
# The missing components will be handled by the FindPackageHandleStandardArgs
|
||||
# module.
|
||||
set(_OpenCV_HANDLE_COMPONENTS_MANUALLY FALSE)
|
||||
else()
|
||||
# The missing components will be handled by this config.
|
||||
set(_OpenCV_HANDLE_COMPONENTS_MANUALLY TRUE)
|
||||
endif()
|
||||
|
||||
# Extract directory name from full path of the file currently being processed.
|
||||
# Note that CMake 2.8.3 introduced CMAKE_CURRENT_LIST_DIR. We reimplement it
|
||||
# for older versions of CMake to support these as well.
|
||||
if(CMAKE_VERSION VERSION_LESS "2.8.3")
|
||||
get_filename_component(CMAKE_CURRENT_LIST_DIR "${CMAKE_CURRENT_LIST_FILE}" PATH)
|
||||
endif()
|
||||
|
||||
# Extract the directory where *this* file has been installed (determined at cmake run-time)
|
||||
# Get the absolute path with no ../.. relative marks, to eliminate implicit linker warnings
|
||||
set(OpenCV_CONFIG_PATH "${CMAKE_CURRENT_LIST_DIR}")
|
||||
get_filename_component(OpenCV_INSTALL_PATH "${OpenCV_CONFIG_PATH}/../../../../" REALPATH)
|
||||
|
||||
# Search packages for host system instead of packages for target system.
|
||||
# in case of cross compilation this macro should be defined by toolchain file
|
||||
if(NOT COMMAND find_host_package)
|
||||
macro(find_host_package)
|
||||
find_package(${ARGN})
|
||||
endmacro()
|
||||
endif()
|
||||
if(NOT COMMAND find_host_program)
|
||||
macro(find_host_program)
|
||||
find_program(${ARGN})
|
||||
endmacro()
|
||||
endif()
|
||||
|
||||
|
||||
|
||||
# Android API level from which OpenCV has been compiled is remembered
|
||||
set(OpenCV_ANDROID_NATIVE_API_LEVEL "9")
|
||||
|
||||
# ==============================================================
|
||||
# Check OpenCV availability
|
||||
# ==============================================================
|
||||
if(OpenCV_ANDROID_NATIVE_API_LEVEL GREATER ANDROID_NATIVE_API_LEVEL)
|
||||
if(NOT OpenCV_FIND_QUIETLY)
|
||||
message(WARNING "Minimum required by OpenCV API level is android-${OpenCV_ANDROID_NATIVE_API_LEVEL}")
|
||||
endif()
|
||||
set(OpenCV_FOUND 0)
|
||||
return()
|
||||
endif()
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# Some additional settings are required if OpenCV is built as static libs
|
||||
set(OpenCV_SHARED OFF)
|
||||
|
||||
# Enables mangled install paths, that help with side by side installs
|
||||
set(OpenCV_USE_MANGLED_PATHS FALSE)
|
||||
|
||||
set(OpenCV_LIB_COMPONENTS opencv_highgui;opencv_features2d;opencv_shape;opencv_imgcodecs;opencv_ml;opencv_videoio;opencv_dnn;opencv_flann;opencv_objdetect;opencv_core;opencv_calib3d;opencv_video;opencv_superres;opencv_photo;opencv_imgproc;opencv_stitching;opencv_videostab;opencv_java)
|
||||
set(OpenCV_INCLUDE_DIRS "${OpenCV_INSTALL_PATH}/sdk/native/jni/include" "${OpenCV_INSTALL_PATH}/sdk/native/jni/include/opencv")
|
||||
|
||||
if(NOT TARGET opencv_core)
|
||||
include(${CMAKE_CURRENT_LIST_DIR}/OpenCVModules${OpenCV_MODULES_SUFFIX}.cmake)
|
||||
endif()
|
||||
|
||||
if(NOT CMAKE_VERSION VERSION_LESS "2.8.11")
|
||||
# Target property INTERFACE_INCLUDE_DIRECTORIES available since 2.8.11:
|
||||
# * http://www.cmake.org/cmake/help/v2.8.11/cmake.html#prop_tgt:INTERFACE_INCLUDE_DIRECTORIES
|
||||
foreach(__component ${OpenCV_LIB_COMPONENTS})
|
||||
if(TARGET ${__component})
|
||||
set_target_properties(
|
||||
${__component}
|
||||
PROPERTIES
|
||||
INTERFACE_INCLUDE_DIRECTORIES "${OpenCV_INCLUDE_DIRS}"
|
||||
)
|
||||
endif()
|
||||
endforeach()
|
||||
endif()
|
||||
|
||||
|
||||
if(NOT DEFINED OPENCV_MAP_IMPORTED_CONFIG)
|
||||
if(CMAKE_GENERATOR MATCHES "Visual Studio" OR MSVC)
|
||||
# OpenCV supports Debug and Release builds only.
|
||||
# But MSVS has 'RelWithDebInfo' 'MinSizeRel' configurations for applications.
|
||||
# By default CMake maps these configuration on the first available (Debug) which is wrong.
|
||||
# Non-Debug build of Application can't be used with OpenCV Debug build (ABI mismatch problem)
|
||||
# Add mapping of RelWithDebInfo and MinSizeRel to Release here
|
||||
set(OPENCV_MAP_IMPORTED_CONFIG "RELWITHDEBINFO=!Release;MINSIZEREL=!Release")
|
||||
endif()
|
||||
endif()
|
||||
set(__remap_warnings "")
|
||||
macro(ocv_map_imported_config target)
|
||||
if(DEFINED OPENCV_MAP_IMPORTED_CONFIG) # list, "RELWITHDEBINFO=Release;MINSIZEREL=Release"
|
||||
get_target_property(__available_configurations ${target} IMPORTED_CONFIGURATIONS)
|
||||
foreach(remap ${OPENCV_MAP_IMPORTED_CONFIG})
|
||||
if(remap MATCHES "^(.+)=(!?)([^!]+)$")
|
||||
set(__remap_config "${CMAKE_MATCH_1}")
|
||||
set(__final_config "${CMAKE_MATCH_3}")
|
||||
set(__force_flag "${CMAKE_MATCH_2}")
|
||||
string(TOUPPER "${__final_config}" __final_config_upper)
|
||||
string(TOUPPER "${__remap_config}" __remap_config_upper)
|
||||
if(";${__available_configurations};" MATCHES ";${__remap_config_upper};" AND NOT "${__force_flag}" STREQUAL "!")
|
||||
# configuration already exists, skip remap
|
||||
set(__remap_warnings "${__remap_warnings}... Configuration already exists ${__remap_config} (skip mapping ${__remap_config} => ${__final_config}) (available configurations: ${__available_configurations})\n")
|
||||
continue()
|
||||
endif()
|
||||
if(__available_configurations AND NOT ";${__available_configurations};" MATCHES ";${__final_config_upper};")
|
||||
# skip, configuration is not available
|
||||
if(NOT "${__force_flag}" STREQUAL "!")
|
||||
set(__remap_warnings "${__remap_warnings}... Configuration is not available '${__final_config}' for ${target}, build may fail (available configurations: ${__available_configurations})\n")
|
||||
endif()
|
||||
endif()
|
||||
set_target_properties(${target} PROPERTIES
|
||||
MAP_IMPORTED_CONFIG_${__remap_config} "${__final_config}"
|
||||
)
|
||||
else()
|
||||
message(WARNING "Invalid entry of OPENCV_MAP_IMPORTED_CONFIG: '${remap}' (${OPENCV_MAP_IMPORTED_CONFIG})")
|
||||
endif()
|
||||
endforeach()
|
||||
endif()
|
||||
endmacro()
|
||||
|
||||
|
||||
# ==============================================================
|
||||
# Form list of modules (components) to find
|
||||
# ==============================================================
|
||||
if(NOT OpenCV_FIND_COMPONENTS)
|
||||
set(OpenCV_FIND_COMPONENTS ${OpenCV_LIB_COMPONENTS})
|
||||
list(REMOVE_ITEM OpenCV_FIND_COMPONENTS opencv_java)
|
||||
if(GTest_FOUND OR GTEST_FOUND)
|
||||
list(REMOVE_ITEM OpenCV_FIND_COMPONENTS opencv_ts)
|
||||
endif()
|
||||
endif()
|
||||
|
||||
set(OpenCV_WORLD_COMPONENTS )
|
||||
|
||||
# expand short module names and see if requested components exist
|
||||
foreach(__cvcomponent ${OpenCV_FIND_COMPONENTS})
|
||||
# Store the name of the original component so we can set the
|
||||
# OpenCV_<component>_FOUND variable which can be checked by the user.
|
||||
set (__original_cvcomponent ${__cvcomponent})
|
||||
if(NOT __cvcomponent MATCHES "^opencv_")
|
||||
set(__cvcomponent opencv_${__cvcomponent})
|
||||
endif()
|
||||
list(FIND OpenCV_LIB_COMPONENTS ${__cvcomponent} __cvcomponentIdx)
|
||||
if(__cvcomponentIdx LESS 0)
|
||||
if(_OpenCV_HANDLE_COMPONENTS_MANUALLY)
|
||||
# Either the component is required or the user did not set any components at
|
||||
# all. In the latter case, the OpenCV_FIND_REQUIRED_<component> variable
|
||||
# will not be defined since it is not set by this config. So let's assume
|
||||
# the implicitly set components are always required.
|
||||
if(NOT DEFINED OpenCV_FIND_REQUIRED_${__original_cvcomponent} OR
|
||||
OpenCV_FIND_REQUIRED_${__original_cvcomponent})
|
||||
message(FATAL_ERROR "${__cvcomponent} is required but was not found")
|
||||
elseif(NOT OpenCV_FIND_QUIETLY)
|
||||
# The component was marked as optional using OPTIONAL_COMPONENTS
|
||||
message(WARNING "Optional component ${__cvcomponent} was not found")
|
||||
endif()
|
||||
endif(_OpenCV_HANDLE_COMPONENTS_MANUALLY)
|
||||
#indicate that module is NOT found
|
||||
string(TOUPPER "${__cvcomponent}" __cvcomponentUP)
|
||||
set(${__cvcomponentUP}_FOUND "${__cvcomponentUP}_FOUND-NOTFOUND")
|
||||
set(OpenCV_${__original_cvcomponent}_FOUND FALSE)
|
||||
else()
|
||||
# Not using list(APPEND) here, because OpenCV_LIBS may not exist yet.
|
||||
# Also not clearing OpenCV_LIBS anywhere, so that multiple calls
|
||||
# to find_package(OpenCV) with different component lists add up.
|
||||
set(OpenCV_LIBS ${OpenCV_LIBS} "${__cvcomponent}")
|
||||
#indicate that module is found
|
||||
string(TOUPPER "${__cvcomponent}" __cvcomponentUP)
|
||||
set(${__cvcomponentUP}_FOUND 1)
|
||||
set(OpenCV_${__original_cvcomponent}_FOUND TRUE)
|
||||
endif()
|
||||
if(OpenCV_SHARED AND ";${OpenCV_WORLD_COMPONENTS};" MATCHES ";${__cvcomponent};" AND NOT TARGET ${__cvcomponent})
|
||||
get_target_property(__implib_dbg opencv_world IMPORTED_IMPLIB_DEBUG)
|
||||
get_target_property(__implib_release opencv_world IMPORTED_IMPLIB_RELEASE)
|
||||
get_target_property(__location_dbg opencv_world IMPORTED_LOCATION_DEBUG)
|
||||
get_target_property(__location_release opencv_world IMPORTED_LOCATION_RELEASE)
|
||||
get_target_property(__include_dir opencv_world INTERFACE_INCLUDE_DIRECTORIES)
|
||||
add_library(${__cvcomponent} SHARED IMPORTED)
|
||||
set_target_properties(${__cvcomponent} PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${__include_dir}")
|
||||
if(__location_dbg)
|
||||
set_property(TARGET ${__cvcomponent} APPEND PROPERTY IMPORTED_CONFIGURATIONS DEBUG)
|
||||
set_target_properties(${__cvcomponent} PROPERTIES
|
||||
IMPORTED_IMPLIB_DEBUG "${__implib_dbg}"
|
||||
IMPORTED_LINK_INTERFACE_LIBRARIES_DEBUG ""
|
||||
IMPORTED_LOCATION_DEBUG "${__location_dbg}"
|
||||
)
|
||||
endif()
|
||||
if(__location_release)
|
||||
set_property(TARGET ${__cvcomponent} APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(${__cvcomponent} PROPERTIES
|
||||
IMPORTED_IMPLIB_RELEASE "${__implib_release}"
|
||||
IMPORTED_LINK_INTERFACE_LIBRARIES_RELEASE ""
|
||||
IMPORTED_LOCATION_RELEASE "${__location_release}"
|
||||
)
|
||||
endif()
|
||||
endif()
|
||||
if(TARGET ${__cvcomponent})
|
||||
ocv_map_imported_config(${__cvcomponent})
|
||||
endif()
|
||||
endforeach()
|
||||
|
||||
if(__remap_warnings AND NOT OpenCV_FIND_QUIETLY)
|
||||
message("OpenCV: configurations remap warnings:\n${__remap_warnings}OpenCV: Check variable OPENCV_MAP_IMPORTED_CONFIG=${OPENCV_MAP_IMPORTED_CONFIG}")
|
||||
endif()
|
||||
|
||||
# ==============================================================
|
||||
# Compatibility stuff
|
||||
# ==============================================================
|
||||
set(OpenCV_LIBRARIES ${OpenCV_LIBS})
|
||||
|
||||
#
|
||||
# Some macroses for samples
|
||||
#
|
||||
macro(ocv_check_dependencies)
|
||||
set(OCV_DEPENDENCIES_FOUND TRUE)
|
||||
foreach(d ${ARGN})
|
||||
if(NOT TARGET ${d})
|
||||
message(WARNING "OpenCV: Can't resolve dependency: ${d}")
|
||||
set(OCV_DEPENDENCIES_FOUND FALSE)
|
||||
break()
|
||||
endif()
|
||||
endforeach()
|
||||
endmacro()
|
||||
|
||||
# adds include directories in such way that directories from the OpenCV source tree go first
|
||||
function(ocv_include_directories)
|
||||
set(__add_before "")
|
||||
file(TO_CMAKE_PATH "${OpenCV_INSTALL_PATH}" __baseDir)
|
||||
foreach(dir ${ARGN})
|
||||
get_filename_component(__abs_dir "${dir}" ABSOLUTE)
|
||||
if("${__abs_dir}" MATCHES "^${__baseDir}")
|
||||
list(APPEND __add_before "${dir}")
|
||||
else()
|
||||
include_directories(AFTER SYSTEM "${dir}")
|
||||
endif()
|
||||
endforeach()
|
||||
include_directories(BEFORE ${__add_before})
|
||||
endfunction()
|
||||
|
||||
macro(ocv_include_modules)
|
||||
include_directories(BEFORE "${OpenCV_INCLUDE_DIRS}")
|
||||
endmacro()
|
||||
|
||||
macro(ocv_include_modules_recurse)
|
||||
include_directories(BEFORE "${OpenCV_INCLUDE_DIRS}")
|
||||
endmacro()
|
||||
|
||||
macro(ocv_target_link_libraries)
|
||||
target_link_libraries(${ARGN})
|
||||
endmacro()
|
||||
|
||||
# remove all matching elements from the list
|
||||
macro(ocv_list_filterout lst regex)
|
||||
foreach(item ${${lst}})
|
||||
if(item MATCHES "${regex}")
|
||||
list(REMOVE_ITEM ${lst} "${item}")
|
||||
endif()
|
||||
endforeach()
|
||||
endmacro()
|
||||
|
||||
# We do not actually need REQUIRED_VARS to be checked for. Just use the
|
||||
# installation directory for the status.
|
||||
find_package_handle_standard_args(OpenCV REQUIRED_VARS OpenCV_INSTALL_PATH
|
||||
VERSION_VAR OpenCV_VERSION ${_OpenCV_FPHSA_ARGS})
|
||||
@ -1,285 +0,0 @@
|
||||
#----------------------------------------------------------------
|
||||
# Generated CMake target import file for configuration "Release".
|
||||
#----------------------------------------------------------------
|
||||
|
||||
# Commands may need to know the format version.
|
||||
set(CMAKE_IMPORT_FILE_VERSION 1)
|
||||
|
||||
# Import target "libcpufeatures" for configuration "Release"
|
||||
set_property(TARGET libcpufeatures APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(libcpufeatures PROPERTIES
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libcpufeatures.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS libcpufeatures )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_libcpufeatures "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libcpufeatures.a" )
|
||||
|
||||
# Import target "libjpeg-turbo" for configuration "Release"
|
||||
set_property(TARGET libjpeg-turbo APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(libjpeg-turbo PROPERTIES
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibjpeg-turbo.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS libjpeg-turbo )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_libjpeg-turbo "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibjpeg-turbo.a" )
|
||||
|
||||
# Import target "libtiff" for configuration "Release"
|
||||
set_property(TARGET libtiff APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(libtiff PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "C;CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibtiff.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS libtiff )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_libtiff "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibtiff.a" )
|
||||
|
||||
# Import target "libwebp" for configuration "Release"
|
||||
set_property(TARGET libwebp APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(libwebp PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "C"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibwebp.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS libwebp )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_libwebp "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibwebp.a" )
|
||||
|
||||
# Import target "libjasper" for configuration "Release"
|
||||
set_property(TARGET libjasper APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(libjasper PROPERTIES
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibjasper.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS libjasper )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_libjasper "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibjasper.a" )
|
||||
|
||||
# Import target "libpng" for configuration "Release"
|
||||
set_property(TARGET libpng APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(libpng PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "ASM;C"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibpng.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS libpng )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_libpng "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibpng.a" )
|
||||
|
||||
# Import target "IlmImf" for configuration "Release"
|
||||
set_property(TARGET IlmImf APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(IlmImf PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libIlmImf.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS IlmImf )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_IlmImf "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libIlmImf.a" )
|
||||
|
||||
# Import target "tbb" for configuration "Release"
|
||||
set_property(TARGET tbb APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(tbb PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libtbb.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS tbb )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_tbb "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libtbb.a" )
|
||||
|
||||
# Import target "libprotobuf" for configuration "Release"
|
||||
set_property(TARGET libprotobuf APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(libprotobuf PROPERTIES
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibprotobuf.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS libprotobuf )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_libprotobuf "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/liblibprotobuf.a" )
|
||||
|
||||
# Import target "tegra_hal" for configuration "Release"
|
||||
set_property(TARGET tegra_hal APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(tegra_hal PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libtegra_hal.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS tegra_hal )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_tegra_hal "${_IMPORT_PREFIX}/sdk/native/3rdparty/libs/armeabi-v7a/libtegra_hal.a" )
|
||||
|
||||
# Import target "opencv_core" for configuration "Release"
|
||||
set_property(TARGET opencv_core APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_core PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_core.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_core )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_core "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_core.a" )
|
||||
|
||||
# Import target "opencv_flann" for configuration "Release"
|
||||
set_property(TARGET opencv_flann APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_flann PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_flann.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_flann )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_flann "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_flann.a" )
|
||||
|
||||
# Import target "opencv_imgproc" for configuration "Release"
|
||||
set_property(TARGET opencv_imgproc APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_imgproc PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_imgproc.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_imgproc )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_imgproc "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_imgproc.a" )
|
||||
|
||||
# Import target "opencv_ml" for configuration "Release"
|
||||
set_property(TARGET opencv_ml APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_ml PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_ml.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_ml )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_ml "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_ml.a" )
|
||||
|
||||
# Import target "opencv_objdetect" for configuration "Release"
|
||||
set_property(TARGET opencv_objdetect APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_objdetect PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_objdetect.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_objdetect )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_objdetect "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_objdetect.a" )
|
||||
|
||||
# Import target "opencv_photo" for configuration "Release"
|
||||
set_property(TARGET opencv_photo APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_photo PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_photo.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_photo )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_photo "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_photo.a" )
|
||||
|
||||
# Import target "opencv_video" for configuration "Release"
|
||||
set_property(TARGET opencv_video APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_video PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_video.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_video )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_video "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_video.a" )
|
||||
|
||||
# Import target "opencv_dnn" for configuration "Release"
|
||||
set_property(TARGET opencv_dnn APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_dnn PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_dnn.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_dnn )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_dnn "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_dnn.a" )
|
||||
|
||||
# Import target "opencv_imgcodecs" for configuration "Release"
|
||||
set_property(TARGET opencv_imgcodecs APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_imgcodecs PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_imgcodecs.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_imgcodecs )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_imgcodecs "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_imgcodecs.a" )
|
||||
|
||||
# Import target "opencv_shape" for configuration "Release"
|
||||
set_property(TARGET opencv_shape APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_shape PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_shape.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_shape )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_shape "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_shape.a" )
|
||||
|
||||
# Import target "opencv_videoio" for configuration "Release"
|
||||
set_property(TARGET opencv_videoio APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_videoio PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_videoio.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_videoio )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_videoio "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_videoio.a" )
|
||||
|
||||
# Import target "opencv_highgui" for configuration "Release"
|
||||
set_property(TARGET opencv_highgui APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_highgui PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_highgui.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_highgui )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_highgui "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_highgui.a" )
|
||||
|
||||
# Import target "opencv_superres" for configuration "Release"
|
||||
set_property(TARGET opencv_superres APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_superres PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_superres.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_superres )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_superres "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_superres.a" )
|
||||
|
||||
# Import target "opencv_features2d" for configuration "Release"
|
||||
set_property(TARGET opencv_features2d APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_features2d PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_features2d.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_features2d )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_features2d "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_features2d.a" )
|
||||
|
||||
# Import target "opencv_calib3d" for configuration "Release"
|
||||
set_property(TARGET opencv_calib3d APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_calib3d PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_calib3d.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_calib3d )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_calib3d "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_calib3d.a" )
|
||||
|
||||
# Import target "opencv_java" for configuration "Release"
|
||||
set_property(TARGET opencv_java APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_java PROPERTIES
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/libs/armeabi-v7a/libopencv_java3.so"
|
||||
IMPORTED_SONAME_RELEASE "libopencv_java3.so"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_java )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_java "${_IMPORT_PREFIX}/sdk/native/libs/armeabi-v7a/libopencv_java3.so" )
|
||||
|
||||
# Import target "opencv_stitching" for configuration "Release"
|
||||
set_property(TARGET opencv_stitching APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_stitching PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_stitching.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_stitching )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_stitching "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_stitching.a" )
|
||||
|
||||
# Import target "opencv_videostab" for configuration "Release"
|
||||
set_property(TARGET opencv_videostab APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
|
||||
set_target_properties(opencv_videostab PROPERTIES
|
||||
IMPORTED_LINK_INTERFACE_LANGUAGES_RELEASE "CXX"
|
||||
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_videostab.a"
|
||||
)
|
||||
|
||||
list(APPEND _IMPORT_CHECK_TARGETS opencv_videostab )
|
||||
list(APPEND _IMPORT_CHECK_FILES_FOR_opencv_videostab "${_IMPORT_PREFIX}/sdk/native/staticlibs/armeabi-v7a/libopencv_videostab.a" )
|
||||
|
||||
# Commands beyond this point should not need to know the version.
|
||||
set(CMAKE_IMPORT_FILE_VERSION)
|
||||
@ -1,263 +0,0 @@
|
||||
# Generated by CMake 2.8.12.2
|
||||
|
||||
if("${CMAKE_MAJOR_VERSION}.${CMAKE_MINOR_VERSION}" LESS 2.5)
|
||||
message(FATAL_ERROR "CMake >= 2.6.0 required")
|
||||
endif()
|
||||
cmake_policy(PUSH)
|
||||
cmake_policy(VERSION 2.6)
|
||||
#----------------------------------------------------------------
|
||||
# Generated CMake target import file.
|
||||
#----------------------------------------------------------------
|
||||
|
||||
# Commands may need to know the format version.
|
||||
set(CMAKE_IMPORT_FILE_VERSION 1)
|
||||
|
||||
# Protect against multiple inclusion, which would fail when already imported targets are added once more.
|
||||
set(_targetsDefined)
|
||||
set(_targetsNotDefined)
|
||||
set(_expectedTargets)
|
||||
foreach(_expectedTarget libcpufeatures libjpeg-turbo libtiff libwebp libjasper libpng IlmImf tbb libprotobuf tegra_hal opencv_core opencv_flann opencv_imgproc opencv_ml opencv_objdetect opencv_photo opencv_video opencv_dnn opencv_imgcodecs opencv_shape opencv_videoio opencv_highgui opencv_superres opencv_features2d opencv_calib3d opencv_java opencv_stitching opencv_videostab)
|
||||
list(APPEND _expectedTargets ${_expectedTarget})
|
||||
if(NOT TARGET ${_expectedTarget})
|
||||
list(APPEND _targetsNotDefined ${_expectedTarget})
|
||||
endif()
|
||||
if(TARGET ${_expectedTarget})
|
||||
list(APPEND _targetsDefined ${_expectedTarget})
|
||||
endif()
|
||||
endforeach()
|
||||
if("${_targetsDefined}" STREQUAL "${_expectedTargets}")
|
||||
set(CMAKE_IMPORT_FILE_VERSION)
|
||||
cmake_policy(POP)
|
||||
return()
|
||||
endif()
|
||||
if(NOT "${_targetsDefined}" STREQUAL "")
|
||||
message(FATAL_ERROR "Some (but not all) targets in this export set were already defined.\nTargets Defined: ${_targetsDefined}\nTargets not yet defined: ${_targetsNotDefined}\n")
|
||||
endif()
|
||||
unset(_targetsDefined)
|
||||
unset(_targetsNotDefined)
|
||||
unset(_expectedTargets)
|
||||
|
||||
|
||||
# Compute the installation prefix relative to this file.
|
||||
get_filename_component(_IMPORT_PREFIX "${CMAKE_CURRENT_LIST_FILE}" PATH)
|
||||
get_filename_component(_IMPORT_PREFIX "${_IMPORT_PREFIX}" PATH)
|
||||
get_filename_component(_IMPORT_PREFIX "${_IMPORT_PREFIX}" PATH)
|
||||
get_filename_component(_IMPORT_PREFIX "${_IMPORT_PREFIX}" PATH)
|
||||
get_filename_component(_IMPORT_PREFIX "${_IMPORT_PREFIX}" PATH)
|
||||
|
||||
# Create imported target libcpufeatures
|
||||
add_library(libcpufeatures STATIC IMPORTED)
|
||||
|
||||
# Create imported target libjpeg-turbo
|
||||
add_library(libjpeg-turbo STATIC IMPORTED)
|
||||
|
||||
# Create imported target libtiff
|
||||
add_library(libtiff STATIC IMPORTED)
|
||||
|
||||
set_target_properties(libtiff PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "z"
|
||||
)
|
||||
|
||||
# Create imported target libwebp
|
||||
add_library(libwebp STATIC IMPORTED)
|
||||
|
||||
set_target_properties(libwebp PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "libcpufeatures"
|
||||
)
|
||||
|
||||
# Create imported target libjasper
|
||||
add_library(libjasper STATIC IMPORTED)
|
||||
|
||||
# Create imported target libpng
|
||||
add_library(libpng STATIC IMPORTED)
|
||||
|
||||
set_target_properties(libpng PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "z"
|
||||
)
|
||||
|
||||
# Create imported target IlmImf
|
||||
add_library(IlmImf STATIC IMPORTED)
|
||||
|
||||
set_target_properties(IlmImf PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "z"
|
||||
)
|
||||
|
||||
# Create imported target tbb
|
||||
add_library(tbb STATIC IMPORTED)
|
||||
|
||||
set_target_properties(tbb PROPERTIES
|
||||
INTERFACE_COMPILE_DEFINITIONS "TBB_USE_GCC_BUILTINS=1;__TBB_GCC_BUILTIN_ATOMICS_PRESENT=1"
|
||||
INTERFACE_LINK_LIBRARIES "c;m;dl"
|
||||
)
|
||||
|
||||
# Create imported target libprotobuf
|
||||
add_library(libprotobuf STATIC IMPORTED)
|
||||
|
||||
# Create imported target tegra_hal
|
||||
add_library(tegra_hal STATIC IMPORTED)
|
||||
|
||||
# Create imported target opencv_core
|
||||
add_library(opencv_core STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_core PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>;$<LINK_ONLY:tbb>;$<LINK_ONLY:z>;$<LINK_ONLY:libcpufeatures>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_flann
|
||||
add_library(opencv_flann STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_flann PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_imgproc
|
||||
add_library(opencv_imgproc STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_imgproc PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_ml
|
||||
add_library(opencv_ml STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_ml PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_objdetect
|
||||
add_library(opencv_objdetect STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_objdetect PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_photo
|
||||
add_library(opencv_photo STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_photo PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_video
|
||||
add_library(opencv_video STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_video PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_dnn
|
||||
add_library(opencv_dnn STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_dnn PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>;$<LINK_ONLY:libprotobuf>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_imgcodecs
|
||||
add_library(opencv_imgcodecs STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_imgcodecs PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>;$<LINK_ONLY:z>;$<LINK_ONLY:libjpeg-turbo>;$<LINK_ONLY:libwebp>;$<LINK_ONLY:libpng>;$<LINK_ONLY:libtiff>;$<LINK_ONLY:libjasper>;$<LINK_ONLY:IlmImf>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_shape
|
||||
add_library(opencv_shape STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_shape PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;opencv_video;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_videoio
|
||||
add_library(opencv_videoio STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_videoio PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;opencv_imgcodecs;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_highgui
|
||||
add_library(opencv_highgui STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_highgui PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;opencv_imgcodecs;opencv_videoio;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_superres
|
||||
add_library(opencv_superres STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_superres PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_imgproc;opencv_video;opencv_imgcodecs;opencv_videoio;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_features2d
|
||||
add_library(opencv_features2d STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_features2d PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_flann;opencv_imgproc;opencv_imgcodecs;opencv_videoio;opencv_highgui;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_calib3d
|
||||
add_library(opencv_calib3d STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_calib3d PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_flann;opencv_imgproc;opencv_imgcodecs;opencv_videoio;opencv_highgui;opencv_features2d;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_java
|
||||
add_library(opencv_java SHARED IMPORTED)
|
||||
|
||||
set_target_properties(opencv_java PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "jnigraphics;log;dl;z"
|
||||
)
|
||||
|
||||
# Create imported target opencv_stitching
|
||||
add_library(opencv_stitching STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_stitching PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_flann;opencv_imgproc;opencv_imgcodecs;opencv_videoio;opencv_highgui;opencv_features2d;opencv_calib3d;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
# Create imported target opencv_videostab
|
||||
add_library(opencv_videostab STATIC IMPORTED)
|
||||
|
||||
set_target_properties(opencv_videostab PROPERTIES
|
||||
INTERFACE_LINK_LIBRARIES "opencv_core;opencv_flann;opencv_imgproc;opencv_photo;opencv_video;opencv_imgcodecs;opencv_videoio;opencv_highgui;opencv_features2d;opencv_calib3d;$<LINK_ONLY:dl>;$<LINK_ONLY:m>;$<LINK_ONLY:log>;$<LINK_ONLY:tegra_hal>"
|
||||
)
|
||||
|
||||
if(CMAKE_VERSION VERSION_LESS 2.8.12)
|
||||
message(FATAL_ERROR "This file relies on consumers using CMake 2.8.12 or greater.")
|
||||
endif()
|
||||
|
||||
# Load information for each installed configuration.
|
||||
get_filename_component(_DIR "${CMAKE_CURRENT_LIST_FILE}" PATH)
|
||||
file(GLOB CONFIG_FILES "${_DIR}/OpenCVModules-*.cmake")
|
||||
foreach(f ${CONFIG_FILES})
|
||||
include(${f})
|
||||
endforeach()
|
||||
|
||||
# Cleanup temporary variables.
|
||||
set(_IMPORT_PREFIX)
|
||||
|
||||
# Loop over all imported files and verify that they actually exist
|
||||
foreach(target ${_IMPORT_CHECK_TARGETS} )
|
||||
foreach(file ${_IMPORT_CHECK_FILES_FOR_${target}} )
|
||||
if(NOT EXISTS "${file}" )
|
||||
message(FATAL_ERROR "The imported target \"${target}\" references the file
|
||||
\"${file}\"
|
||||
but this file does not exist. Possible reasons include:
|
||||
* The file was deleted, renamed, or moved to another location.
|
||||
* An install or uninstall procedure did not complete successfully.
|
||||
* The installation package was faulty and contained
|
||||
\"${CMAKE_CURRENT_LIST_FILE}\"
|
||||
but not all the files it references.
|
||||
")
|
||||
endif()
|
||||
endforeach()
|
||||
unset(_IMPORT_CHECK_FILES_FOR_${target})
|
||||
endforeach()
|
||||
unset(_IMPORT_CHECK_TARGETS)
|
||||
|
||||
# This file does not depend on other imported targets which have
|
||||
# been exported from the same project but in a separate export set.
|
||||
|
||||
# Commands beyond this point should not need to know the version.
|
||||
set(CMAKE_IMPORT_FILE_VERSION)
|
||||
cmake_policy(POP)
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,73 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_CV_H
|
||||
#define OPENCV_OLD_CV_H
|
||||
|
||||
#if defined(_MSC_VER)
|
||||
#define CV_DO_PRAGMA(x) __pragma(x)
|
||||
#define __CVSTR2__(x) #x
|
||||
#define __CVSTR1__(x) __CVSTR2__(x)
|
||||
#define __CVMSVCLOC__ __FILE__ "("__CVSTR1__(__LINE__)") : "
|
||||
#define CV_MSG_PRAGMA(_msg) CV_DO_PRAGMA(message (__CVMSVCLOC__ _msg))
|
||||
#elif defined(__GNUC__)
|
||||
#define CV_DO_PRAGMA(x) _Pragma (#x)
|
||||
#define CV_MSG_PRAGMA(_msg) CV_DO_PRAGMA(message (_msg))
|
||||
#else
|
||||
#define CV_DO_PRAGMA(x)
|
||||
#define CV_MSG_PRAGMA(_msg)
|
||||
#endif
|
||||
#define CV_WARNING(x) CV_MSG_PRAGMA("Warning: " #x)
|
||||
|
||||
//CV_WARNING("This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module")
|
||||
|
||||
#include "opencv2/core/core_c.h"
|
||||
#include "opencv2/imgproc/imgproc_c.h"
|
||||
#include "opencv2/photo/photo_c.h"
|
||||
#include "opencv2/video/tracking_c.h"
|
||||
#include "opencv2/objdetect/objdetect_c.h"
|
||||
|
||||
#if !defined(CV_IMPL)
|
||||
#define CV_IMPL extern "C"
|
||||
#endif //CV_IMPL
|
||||
|
||||
#endif // __OPENCV_OLD_CV_H_
|
||||
@ -1,60 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_CV_HPP
|
||||
#define OPENCV_OLD_CV_HPP
|
||||
|
||||
//#if defined(__GNUC__)
|
||||
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
|
||||
//#endif
|
||||
|
||||
#include "cv.h"
|
||||
#include "opencv2/core.hpp"
|
||||
#include "opencv2/imgproc.hpp"
|
||||
#include "opencv2/photo.hpp"
|
||||
#include "opencv2/video.hpp"
|
||||
#include "opencv2/highgui.hpp"
|
||||
#include "opencv2/features2d.hpp"
|
||||
#include "opencv2/calib3d.hpp"
|
||||
#include "opencv2/objdetect.hpp"
|
||||
|
||||
#endif
|
||||
@ -1,57 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// Intel License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000, Intel Corporation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of Intel Corporation may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_AUX_H
|
||||
#define OPENCV_OLD_AUX_H
|
||||
|
||||
//#if defined(__GNUC__)
|
||||
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
|
||||
//#endif
|
||||
|
||||
#include "opencv2/core/core_c.h"
|
||||
#include "opencv2/imgproc/imgproc_c.h"
|
||||
#include "opencv2/photo/photo_c.h"
|
||||
#include "opencv2/video/tracking_c.h"
|
||||
#include "opencv2/objdetect/objdetect_c.h"
|
||||
|
||||
#endif
|
||||
|
||||
/* End of file. */
|
||||
@ -1,52 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// Intel License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000, Intel Corporation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of Intel Corporation may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_AUX_HPP
|
||||
#define OPENCV_OLD_AUX_HPP
|
||||
|
||||
//#if defined(__GNUC__)
|
||||
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
|
||||
//#endif
|
||||
|
||||
#include "cvaux.h"
|
||||
#include "opencv2/core/utility.hpp"
|
||||
|
||||
#endif
|
||||
@ -1,46 +0,0 @@
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to
|
||||
// this license. If you do not agree to this license, do not download,
|
||||
// install, copy or use the software.
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2008, Google, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without
|
||||
// modification, are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of Intel Corporation or contributors may not be used to endorse
|
||||
// or promote products derived from this software without specific
|
||||
// prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is"
|
||||
// and any express or implied warranties, including, but not limited to, the
|
||||
// implied warranties of merchantability and fitness for a particular purpose
|
||||
// are disclaimed. In no event shall the Intel Corporation or contributors be
|
||||
// liable for any direct, indirect, incidental, special, exemplary, or
|
||||
// consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
|
||||
|
||||
#ifndef OPENCV_OLD_WIMAGE_HPP
|
||||
#define OPENCV_OLD_WIMAGE_HPP
|
||||
|
||||
#include "opencv2/core/wimage.hpp"
|
||||
|
||||
#endif
|
||||
@ -1,52 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_CXCORE_H
|
||||
#define OPENCV_OLD_CXCORE_H
|
||||
|
||||
//#if defined(__GNUC__)
|
||||
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
|
||||
//#endif
|
||||
|
||||
#include "opencv2/core/core_c.h"
|
||||
|
||||
#endif
|
||||
@ -1,53 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_CXCORE_HPP
|
||||
#define OPENCV_OLD_CXCORE_HPP
|
||||
|
||||
//#if defined(__GNUC__)
|
||||
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
|
||||
//#endif
|
||||
|
||||
#include "cxcore.h"
|
||||
#include "opencv2/core.hpp"
|
||||
|
||||
#endif
|
||||
@ -1,48 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_EIGEN_HPP
|
||||
#define OPENCV_OLD_EIGEN_HPP
|
||||
|
||||
#include "opencv2/core/eigen.hpp"
|
||||
|
||||
#endif
|
||||
@ -1,8 +0,0 @@
|
||||
#ifndef OPENCV_OLD_CXMISC_H
|
||||
#define OPENCV_OLD_CXMISC_H
|
||||
|
||||
#ifdef __cplusplus
|
||||
# include "opencv2/core/utility.hpp"
|
||||
#endif
|
||||
|
||||
#endif
|
||||
@ -1,48 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// Intel License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000, Intel Corporation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of Intel Corporation may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_HIGHGUI_H
|
||||
#define OPENCV_OLD_HIGHGUI_H
|
||||
|
||||
#include "opencv2/core/core_c.h"
|
||||
#include "opencv2/highgui/highgui_c.h"
|
||||
|
||||
#endif
|
||||
@ -1,47 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// Intel License Agreement
|
||||
//
|
||||
// Copyright (C) 2000, Intel Corporation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of Intel Corporation may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_OLD_ML_H
|
||||
#define OPENCV_OLD_ML_H
|
||||
|
||||
#include "opencv2/core/core_c.h"
|
||||
#include "opencv2/ml.hpp"
|
||||
|
||||
#endif
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,48 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifdef __OPENCV_BUILD
|
||||
#error this is a compatibility header which should not be used inside the OpenCV library
|
||||
#endif
|
||||
|
||||
#include "opencv2/calib3d.hpp"
|
||||
@ -1,427 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CALIB3D_C_H
|
||||
#define OPENCV_CALIB3D_C_H
|
||||
|
||||
#include "opencv2/core/core_c.h"
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
/** @addtogroup calib3d_c
|
||||
@{
|
||||
*/
|
||||
|
||||
/****************************************************************************************\
|
||||
* Camera Calibration, Pose Estimation and Stereo *
|
||||
\****************************************************************************************/
|
||||
|
||||
typedef struct CvPOSITObject CvPOSITObject;
|
||||
|
||||
/* Allocates and initializes CvPOSITObject structure before doing cvPOSIT */
|
||||
CVAPI(CvPOSITObject*) cvCreatePOSITObject( CvPoint3D32f* points, int point_count );
|
||||
|
||||
|
||||
/* Runs POSIT (POSe from ITeration) algorithm for determining 3d position of
|
||||
an object given its model and projection in a weak-perspective case */
|
||||
CVAPI(void) cvPOSIT( CvPOSITObject* posit_object, CvPoint2D32f* image_points,
|
||||
double focal_length, CvTermCriteria criteria,
|
||||
float* rotation_matrix, float* translation_vector);
|
||||
|
||||
/* Releases CvPOSITObject structure */
|
||||
CVAPI(void) cvReleasePOSITObject( CvPOSITObject** posit_object );
|
||||
|
||||
/* updates the number of RANSAC iterations */
|
||||
CVAPI(int) cvRANSACUpdateNumIters( double p, double err_prob,
|
||||
int model_points, int max_iters );
|
||||
|
||||
CVAPI(void) cvConvertPointsHomogeneous( const CvMat* src, CvMat* dst );
|
||||
|
||||
/* Calculates fundamental matrix given a set of corresponding points */
|
||||
#define CV_FM_7POINT 1
|
||||
#define CV_FM_8POINT 2
|
||||
|
||||
#define CV_LMEDS 4
|
||||
#define CV_RANSAC 8
|
||||
|
||||
#define CV_FM_LMEDS_ONLY CV_LMEDS
|
||||
#define CV_FM_RANSAC_ONLY CV_RANSAC
|
||||
#define CV_FM_LMEDS CV_LMEDS
|
||||
#define CV_FM_RANSAC CV_RANSAC
|
||||
|
||||
enum
|
||||
{
|
||||
CV_ITERATIVE = 0,
|
||||
CV_EPNP = 1, // F.Moreno-Noguer, V.Lepetit and P.Fua "EPnP: Efficient Perspective-n-Point Camera Pose Estimation"
|
||||
CV_P3P = 2, // X.S. Gao, X.-R. Hou, J. Tang, H.-F. Chang; "Complete Solution Classification for the Perspective-Three-Point Problem"
|
||||
CV_DLS = 3 // Joel A. Hesch and Stergios I. Roumeliotis. "A Direct Least-Squares (DLS) Method for PnP"
|
||||
};
|
||||
|
||||
CVAPI(int) cvFindFundamentalMat( const CvMat* points1, const CvMat* points2,
|
||||
CvMat* fundamental_matrix,
|
||||
int method CV_DEFAULT(CV_FM_RANSAC),
|
||||
double param1 CV_DEFAULT(3.), double param2 CV_DEFAULT(0.99),
|
||||
CvMat* status CV_DEFAULT(NULL) );
|
||||
|
||||
/* For each input point on one of images
|
||||
computes parameters of the corresponding
|
||||
epipolar line on the other image */
|
||||
CVAPI(void) cvComputeCorrespondEpilines( const CvMat* points,
|
||||
int which_image,
|
||||
const CvMat* fundamental_matrix,
|
||||
CvMat* correspondent_lines );
|
||||
|
||||
/* Triangulation functions */
|
||||
|
||||
CVAPI(void) cvTriangulatePoints(CvMat* projMatr1, CvMat* projMatr2,
|
||||
CvMat* projPoints1, CvMat* projPoints2,
|
||||
CvMat* points4D);
|
||||
|
||||
CVAPI(void) cvCorrectMatches(CvMat* F, CvMat* points1, CvMat* points2,
|
||||
CvMat* new_points1, CvMat* new_points2);
|
||||
|
||||
|
||||
/* Computes the optimal new camera matrix according to the free scaling parameter alpha:
|
||||
alpha=0 - only valid pixels will be retained in the undistorted image
|
||||
alpha=1 - all the source image pixels will be retained in the undistorted image
|
||||
*/
|
||||
CVAPI(void) cvGetOptimalNewCameraMatrix( const CvMat* camera_matrix,
|
||||
const CvMat* dist_coeffs,
|
||||
CvSize image_size, double alpha,
|
||||
CvMat* new_camera_matrix,
|
||||
CvSize new_imag_size CV_DEFAULT(cvSize(0,0)),
|
||||
CvRect* valid_pixel_ROI CV_DEFAULT(0),
|
||||
int center_principal_point CV_DEFAULT(0));
|
||||
|
||||
/* Converts rotation vector to rotation matrix or vice versa */
|
||||
CVAPI(int) cvRodrigues2( const CvMat* src, CvMat* dst,
|
||||
CvMat* jacobian CV_DEFAULT(0) );
|
||||
|
||||
/* Finds perspective transformation between the object plane and image (view) plane */
|
||||
CVAPI(int) cvFindHomography( const CvMat* src_points,
|
||||
const CvMat* dst_points,
|
||||
CvMat* homography,
|
||||
int method CV_DEFAULT(0),
|
||||
double ransacReprojThreshold CV_DEFAULT(3),
|
||||
CvMat* mask CV_DEFAULT(0),
|
||||
int maxIters CV_DEFAULT(2000),
|
||||
double confidence CV_DEFAULT(0.995));
|
||||
|
||||
/* Computes RQ decomposition for 3x3 matrices */
|
||||
CVAPI(void) cvRQDecomp3x3( const CvMat *matrixM, CvMat *matrixR, CvMat *matrixQ,
|
||||
CvMat *matrixQx CV_DEFAULT(NULL),
|
||||
CvMat *matrixQy CV_DEFAULT(NULL),
|
||||
CvMat *matrixQz CV_DEFAULT(NULL),
|
||||
CvPoint3D64f *eulerAngles CV_DEFAULT(NULL));
|
||||
|
||||
/* Computes projection matrix decomposition */
|
||||
CVAPI(void) cvDecomposeProjectionMatrix( const CvMat *projMatr, CvMat *calibMatr,
|
||||
CvMat *rotMatr, CvMat *posVect,
|
||||
CvMat *rotMatrX CV_DEFAULT(NULL),
|
||||
CvMat *rotMatrY CV_DEFAULT(NULL),
|
||||
CvMat *rotMatrZ CV_DEFAULT(NULL),
|
||||
CvPoint3D64f *eulerAngles CV_DEFAULT(NULL));
|
||||
|
||||
/* Computes d(AB)/dA and d(AB)/dB */
|
||||
CVAPI(void) cvCalcMatMulDeriv( const CvMat* A, const CvMat* B, CvMat* dABdA, CvMat* dABdB );
|
||||
|
||||
/* Computes r3 = rodrigues(rodrigues(r2)*rodrigues(r1)),
|
||||
t3 = rodrigues(r2)*t1 + t2 and the respective derivatives */
|
||||
CVAPI(void) cvComposeRT( const CvMat* _rvec1, const CvMat* _tvec1,
|
||||
const CvMat* _rvec2, const CvMat* _tvec2,
|
||||
CvMat* _rvec3, CvMat* _tvec3,
|
||||
CvMat* dr3dr1 CV_DEFAULT(0), CvMat* dr3dt1 CV_DEFAULT(0),
|
||||
CvMat* dr3dr2 CV_DEFAULT(0), CvMat* dr3dt2 CV_DEFAULT(0),
|
||||
CvMat* dt3dr1 CV_DEFAULT(0), CvMat* dt3dt1 CV_DEFAULT(0),
|
||||
CvMat* dt3dr2 CV_DEFAULT(0), CvMat* dt3dt2 CV_DEFAULT(0) );
|
||||
|
||||
/* Projects object points to the view plane using
|
||||
the specified extrinsic and intrinsic camera parameters */
|
||||
CVAPI(void) cvProjectPoints2( const CvMat* object_points, const CvMat* rotation_vector,
|
||||
const CvMat* translation_vector, const CvMat* camera_matrix,
|
||||
const CvMat* distortion_coeffs, CvMat* image_points,
|
||||
CvMat* dpdrot CV_DEFAULT(NULL), CvMat* dpdt CV_DEFAULT(NULL),
|
||||
CvMat* dpdf CV_DEFAULT(NULL), CvMat* dpdc CV_DEFAULT(NULL),
|
||||
CvMat* dpddist CV_DEFAULT(NULL),
|
||||
double aspect_ratio CV_DEFAULT(0));
|
||||
|
||||
/* Finds extrinsic camera parameters from
|
||||
a few known corresponding point pairs and intrinsic parameters */
|
||||
CVAPI(void) cvFindExtrinsicCameraParams2( const CvMat* object_points,
|
||||
const CvMat* image_points,
|
||||
const CvMat* camera_matrix,
|
||||
const CvMat* distortion_coeffs,
|
||||
CvMat* rotation_vector,
|
||||
CvMat* translation_vector,
|
||||
int use_extrinsic_guess CV_DEFAULT(0) );
|
||||
|
||||
/* Computes initial estimate of the intrinsic camera parameters
|
||||
in case of planar calibration target (e.g. chessboard) */
|
||||
CVAPI(void) cvInitIntrinsicParams2D( const CvMat* object_points,
|
||||
const CvMat* image_points,
|
||||
const CvMat* npoints, CvSize image_size,
|
||||
CvMat* camera_matrix,
|
||||
double aspect_ratio CV_DEFAULT(1.) );
|
||||
|
||||
#define CV_CALIB_CB_ADAPTIVE_THRESH 1
|
||||
#define CV_CALIB_CB_NORMALIZE_IMAGE 2
|
||||
#define CV_CALIB_CB_FILTER_QUADS 4
|
||||
#define CV_CALIB_CB_FAST_CHECK 8
|
||||
|
||||
// Performs a fast check if a chessboard is in the input image. This is a workaround to
|
||||
// a problem of cvFindChessboardCorners being slow on images with no chessboard
|
||||
// - src: input image
|
||||
// - size: chessboard size
|
||||
// Returns 1 if a chessboard can be in this image and findChessboardCorners should be called,
|
||||
// 0 if there is no chessboard, -1 in case of error
|
||||
CVAPI(int) cvCheckChessboard(IplImage* src, CvSize size);
|
||||
|
||||
/* Detects corners on a chessboard calibration pattern */
|
||||
CVAPI(int) cvFindChessboardCorners( const void* image, CvSize pattern_size,
|
||||
CvPoint2D32f* corners,
|
||||
int* corner_count CV_DEFAULT(NULL),
|
||||
int flags CV_DEFAULT(CV_CALIB_CB_ADAPTIVE_THRESH+CV_CALIB_CB_NORMALIZE_IMAGE) );
|
||||
|
||||
/* Draws individual chessboard corners or the whole chessboard detected */
|
||||
CVAPI(void) cvDrawChessboardCorners( CvArr* image, CvSize pattern_size,
|
||||
CvPoint2D32f* corners,
|
||||
int count, int pattern_was_found );
|
||||
|
||||
#define CV_CALIB_USE_INTRINSIC_GUESS 1
|
||||
#define CV_CALIB_FIX_ASPECT_RATIO 2
|
||||
#define CV_CALIB_FIX_PRINCIPAL_POINT 4
|
||||
#define CV_CALIB_ZERO_TANGENT_DIST 8
|
||||
#define CV_CALIB_FIX_FOCAL_LENGTH 16
|
||||
#define CV_CALIB_FIX_K1 32
|
||||
#define CV_CALIB_FIX_K2 64
|
||||
#define CV_CALIB_FIX_K3 128
|
||||
#define CV_CALIB_FIX_K4 2048
|
||||
#define CV_CALIB_FIX_K5 4096
|
||||
#define CV_CALIB_FIX_K6 8192
|
||||
#define CV_CALIB_RATIONAL_MODEL 16384
|
||||
#define CV_CALIB_THIN_PRISM_MODEL 32768
|
||||
#define CV_CALIB_FIX_S1_S2_S3_S4 65536
|
||||
#define CV_CALIB_TILTED_MODEL 262144
|
||||
#define CV_CALIB_FIX_TAUX_TAUY 524288
|
||||
#define CV_CALIB_FIX_TANGENT_DIST 2097152
|
||||
|
||||
#define CV_CALIB_NINTRINSIC 18
|
||||
|
||||
/* Finds intrinsic and extrinsic camera parameters
|
||||
from a few views of known calibration pattern */
|
||||
CVAPI(double) cvCalibrateCamera2( const CvMat* object_points,
|
||||
const CvMat* image_points,
|
||||
const CvMat* point_counts,
|
||||
CvSize image_size,
|
||||
CvMat* camera_matrix,
|
||||
CvMat* distortion_coeffs,
|
||||
CvMat* rotation_vectors CV_DEFAULT(NULL),
|
||||
CvMat* translation_vectors CV_DEFAULT(NULL),
|
||||
int flags CV_DEFAULT(0),
|
||||
CvTermCriteria term_crit CV_DEFAULT(cvTermCriteria(
|
||||
CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,30,DBL_EPSILON)) );
|
||||
|
||||
/* Computes various useful characteristics of the camera from the data computed by
|
||||
cvCalibrateCamera2 */
|
||||
CVAPI(void) cvCalibrationMatrixValues( const CvMat *camera_matrix,
|
||||
CvSize image_size,
|
||||
double aperture_width CV_DEFAULT(0),
|
||||
double aperture_height CV_DEFAULT(0),
|
||||
double *fovx CV_DEFAULT(NULL),
|
||||
double *fovy CV_DEFAULT(NULL),
|
||||
double *focal_length CV_DEFAULT(NULL),
|
||||
CvPoint2D64f *principal_point CV_DEFAULT(NULL),
|
||||
double *pixel_aspect_ratio CV_DEFAULT(NULL));
|
||||
|
||||
#define CV_CALIB_FIX_INTRINSIC 256
|
||||
#define CV_CALIB_SAME_FOCAL_LENGTH 512
|
||||
|
||||
/* Computes the transformation from one camera coordinate system to another one
|
||||
from a few correspondent views of the same calibration target. Optionally, calibrates
|
||||
both cameras */
|
||||
CVAPI(double) cvStereoCalibrate( const CvMat* object_points, const CvMat* image_points1,
|
||||
const CvMat* image_points2, const CvMat* npoints,
|
||||
CvMat* camera_matrix1, CvMat* dist_coeffs1,
|
||||
CvMat* camera_matrix2, CvMat* dist_coeffs2,
|
||||
CvSize image_size, CvMat* R, CvMat* T,
|
||||
CvMat* E CV_DEFAULT(0), CvMat* F CV_DEFAULT(0),
|
||||
int flags CV_DEFAULT(CV_CALIB_FIX_INTRINSIC),
|
||||
CvTermCriteria term_crit CV_DEFAULT(cvTermCriteria(
|
||||
CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,30,1e-6)) );
|
||||
|
||||
#define CV_CALIB_ZERO_DISPARITY 1024
|
||||
|
||||
/* Computes 3D rotations (+ optional shift) for each camera coordinate system to make both
|
||||
views parallel (=> to make all the epipolar lines horizontal or vertical) */
|
||||
CVAPI(void) cvStereoRectify( const CvMat* camera_matrix1, const CvMat* camera_matrix2,
|
||||
const CvMat* dist_coeffs1, const CvMat* dist_coeffs2,
|
||||
CvSize image_size, const CvMat* R, const CvMat* T,
|
||||
CvMat* R1, CvMat* R2, CvMat* P1, CvMat* P2,
|
||||
CvMat* Q CV_DEFAULT(0),
|
||||
int flags CV_DEFAULT(CV_CALIB_ZERO_DISPARITY),
|
||||
double alpha CV_DEFAULT(-1),
|
||||
CvSize new_image_size CV_DEFAULT(cvSize(0,0)),
|
||||
CvRect* valid_pix_ROI1 CV_DEFAULT(0),
|
||||
CvRect* valid_pix_ROI2 CV_DEFAULT(0));
|
||||
|
||||
/* Computes rectification transformations for uncalibrated pair of images using a set
|
||||
of point correspondences */
|
||||
CVAPI(int) cvStereoRectifyUncalibrated( const CvMat* points1, const CvMat* points2,
|
||||
const CvMat* F, CvSize img_size,
|
||||
CvMat* H1, CvMat* H2,
|
||||
double threshold CV_DEFAULT(5));
|
||||
|
||||
|
||||
|
||||
/* stereo correspondence parameters and functions */
|
||||
|
||||
#define CV_STEREO_BM_NORMALIZED_RESPONSE 0
|
||||
#define CV_STEREO_BM_XSOBEL 1
|
||||
|
||||
/* Block matching algorithm structure */
|
||||
typedef struct CvStereoBMState
|
||||
{
|
||||
// pre-filtering (normalization of input images)
|
||||
int preFilterType; // =CV_STEREO_BM_NORMALIZED_RESPONSE now
|
||||
int preFilterSize; // averaging window size: ~5x5..21x21
|
||||
int preFilterCap; // the output of pre-filtering is clipped by [-preFilterCap,preFilterCap]
|
||||
|
||||
// correspondence using Sum of Absolute Difference (SAD)
|
||||
int SADWindowSize; // ~5x5..21x21
|
||||
int minDisparity; // minimum disparity (can be negative)
|
||||
int numberOfDisparities; // maximum disparity - minimum disparity (> 0)
|
||||
|
||||
// post-filtering
|
||||
int textureThreshold; // the disparity is only computed for pixels
|
||||
// with textured enough neighborhood
|
||||
int uniquenessRatio; // accept the computed disparity d* only if
|
||||
// SAD(d) >= SAD(d*)*(1 + uniquenessRatio/100.)
|
||||
// for any d != d*+/-1 within the search range.
|
||||
int speckleWindowSize; // disparity variation window
|
||||
int speckleRange; // acceptable range of variation in window
|
||||
|
||||
int trySmallerWindows; // if 1, the results may be more accurate,
|
||||
// at the expense of slower processing
|
||||
CvRect roi1, roi2;
|
||||
int disp12MaxDiff;
|
||||
|
||||
// temporary buffers
|
||||
CvMat* preFilteredImg0;
|
||||
CvMat* preFilteredImg1;
|
||||
CvMat* slidingSumBuf;
|
||||
CvMat* cost;
|
||||
CvMat* disp;
|
||||
} CvStereoBMState;
|
||||
|
||||
#define CV_STEREO_BM_BASIC 0
|
||||
#define CV_STEREO_BM_FISH_EYE 1
|
||||
#define CV_STEREO_BM_NARROW 2
|
||||
|
||||
CVAPI(CvStereoBMState*) cvCreateStereoBMState(int preset CV_DEFAULT(CV_STEREO_BM_BASIC),
|
||||
int numberOfDisparities CV_DEFAULT(0));
|
||||
|
||||
CVAPI(void) cvReleaseStereoBMState( CvStereoBMState** state );
|
||||
|
||||
CVAPI(void) cvFindStereoCorrespondenceBM( const CvArr* left, const CvArr* right,
|
||||
CvArr* disparity, CvStereoBMState* state );
|
||||
|
||||
CVAPI(CvRect) cvGetValidDisparityROI( CvRect roi1, CvRect roi2, int minDisparity,
|
||||
int numberOfDisparities, int SADWindowSize );
|
||||
|
||||
CVAPI(void) cvValidateDisparity( CvArr* disparity, const CvArr* cost,
|
||||
int minDisparity, int numberOfDisparities,
|
||||
int disp12MaxDiff CV_DEFAULT(1) );
|
||||
|
||||
/* Reprojects the computed disparity image to the 3D space using the specified 4x4 matrix */
|
||||
CVAPI(void) cvReprojectImageTo3D( const CvArr* disparityImage,
|
||||
CvArr* _3dImage, const CvMat* Q,
|
||||
int handleMissingValues CV_DEFAULT(0) );
|
||||
|
||||
/** @} calib3d_c */
|
||||
|
||||
#ifdef __cplusplus
|
||||
} // extern "C"
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////
|
||||
class CV_EXPORTS CvLevMarq
|
||||
{
|
||||
public:
|
||||
CvLevMarq();
|
||||
CvLevMarq( int nparams, int nerrs, CvTermCriteria criteria=
|
||||
cvTermCriteria(CV_TERMCRIT_EPS+CV_TERMCRIT_ITER,30,DBL_EPSILON),
|
||||
bool completeSymmFlag=false );
|
||||
~CvLevMarq();
|
||||
void init( int nparams, int nerrs, CvTermCriteria criteria=
|
||||
cvTermCriteria(CV_TERMCRIT_EPS+CV_TERMCRIT_ITER,30,DBL_EPSILON),
|
||||
bool completeSymmFlag=false );
|
||||
bool update( const CvMat*& param, CvMat*& J, CvMat*& err );
|
||||
bool updateAlt( const CvMat*& param, CvMat*& JtJ, CvMat*& JtErr, double*& errNorm );
|
||||
|
||||
void clear();
|
||||
void step();
|
||||
enum { DONE=0, STARTED=1, CALC_J=2, CHECK_ERR=3 };
|
||||
|
||||
cv::Ptr<CvMat> mask;
|
||||
cv::Ptr<CvMat> prevParam;
|
||||
cv::Ptr<CvMat> param;
|
||||
cv::Ptr<CvMat> J;
|
||||
cv::Ptr<CvMat> err;
|
||||
cv::Ptr<CvMat> JtJ;
|
||||
cv::Ptr<CvMat> JtJN;
|
||||
cv::Ptr<CvMat> JtErr;
|
||||
cv::Ptr<CvMat> JtJV;
|
||||
cv::Ptr<CvMat> JtJW;
|
||||
double prevErrNorm, errNorm;
|
||||
int lambdaLg10;
|
||||
CvTermCriteria criteria;
|
||||
int state;
|
||||
int iters;
|
||||
bool completeSymmFlag;
|
||||
int solveMethod;
|
||||
};
|
||||
|
||||
#endif
|
||||
|
||||
#endif /* OPENCV_CALIB3D_C_H */
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,126 +0,0 @@
|
||||
//
|
||||
// Created by 庾金科 on 20/09/2017.
|
||||
//
|
||||
|
||||
#ifndef SWIFTPR_PLATEINFO_H
|
||||
#define SWIFTPR_PLATEINFO_H
|
||||
#include <opencv2/opencv.hpp>
|
||||
namespace pr {
|
||||
|
||||
typedef std::vector<cv::Mat> Character;
|
||||
|
||||
enum PlateColor { BLUE, YELLOW, WHITE, GREEN, BLACK,UNKNOWN};
|
||||
enum CharType {CHINESE,LETTER,LETTER_NUMS,INVALID};
|
||||
|
||||
|
||||
class PlateInfo {
|
||||
public:
|
||||
std::vector<std::pair<CharType,cv::Mat>> plateChars;
|
||||
std::vector<std::pair<CharType,cv::Mat>> plateCoding;
|
||||
float confidence = 0;
|
||||
PlateInfo(const cv::Mat &plateData, std::string plateName, cv::Rect plateRect, PlateColor plateType) {
|
||||
licensePlate = plateData;
|
||||
name = plateName;
|
||||
ROI = plateRect;
|
||||
Type = plateType;
|
||||
}
|
||||
PlateInfo(const cv::Mat &plateData, cv::Rect plateRect, PlateColor plateType) {
|
||||
licensePlate = plateData;
|
||||
ROI = plateRect;
|
||||
Type = plateType;
|
||||
}
|
||||
PlateInfo(const cv::Mat &plateData, cv::Rect plateRect) {
|
||||
licensePlate = plateData;
|
||||
ROI = plateRect;
|
||||
}
|
||||
PlateInfo() {
|
||||
|
||||
}
|
||||
|
||||
cv::Mat getPlateImage() {
|
||||
return licensePlate;
|
||||
}
|
||||
|
||||
void setPlateImage(cv::Mat plateImage){
|
||||
licensePlate = plateImage;
|
||||
}
|
||||
|
||||
cv::Rect getPlateRect() {
|
||||
return ROI;
|
||||
}
|
||||
|
||||
void setPlateRect(cv::Rect plateRect) {
|
||||
ROI = plateRect;
|
||||
}
|
||||
cv::String getPlateName() {
|
||||
return name;
|
||||
|
||||
}
|
||||
void setPlateName(cv::String plateName) {
|
||||
name = plateName;
|
||||
}
|
||||
int getPlateType() {
|
||||
return Type;
|
||||
}
|
||||
|
||||
void appendPlateChar(const std::pair<CharType,cv::Mat> &plateChar)
|
||||
{
|
||||
plateChars.push_back(plateChar);
|
||||
}
|
||||
|
||||
void appendPlateCoding(const std::pair<CharType,cv::Mat> &charProb){
|
||||
plateCoding.push_back(charProb);
|
||||
}
|
||||
|
||||
// cv::Mat getPlateChars(int id) {
|
||||
// if(id<PlateChars.size())
|
||||
// return PlateChars[id];
|
||||
// }
|
||||
std::string decodePlateNormal(std::vector<std::string> mappingTable) {
|
||||
std::string decode;
|
||||
for(auto plate:plateCoding) {
|
||||
float *prob = (float *)plate.second.data;
|
||||
if(plate.first == CHINESE) {
|
||||
|
||||
decode += mappingTable[std::max_element(prob,prob+31) - prob];
|
||||
confidence+=*std::max_element(prob,prob+31);
|
||||
|
||||
|
||||
// std::cout<<*std::max_element(prob,prob+31)<<std::endl;
|
||||
|
||||
}
|
||||
|
||||
else if(plate.first == LETTER) {
|
||||
decode += mappingTable[std::max_element(prob+41,prob+65)- prob];
|
||||
confidence+=*std::max_element(prob+41,prob+65);
|
||||
}
|
||||
|
||||
else if(plate.first == LETTER_NUMS) {
|
||||
decode += mappingTable[std::max_element(prob+31,prob+65)- prob];
|
||||
confidence+=*std::max_element(prob+31,prob+65);
|
||||
// std::cout<<*std::max_element(prob+31,prob+65)<<std::endl;
|
||||
|
||||
}
|
||||
else if(plate.first == INVALID)
|
||||
{
|
||||
decode+='*';
|
||||
}
|
||||
|
||||
}
|
||||
name = decode;
|
||||
|
||||
confidence/=7;
|
||||
|
||||
return decode;
|
||||
}
|
||||
|
||||
private:
|
||||
cv::Mat licensePlate;
|
||||
cv::Rect ROI;
|
||||
std::string name ;
|
||||
PlateColor Type;
|
||||
};
|
||||
}
|
||||
|
||||
|
||||
#endif //SWIFTPR_PLATEINFO_H
|
||||
@ -1,678 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CORE_AFFINE3_HPP
|
||||
#define OPENCV_CORE_AFFINE3_HPP
|
||||
|
||||
#ifdef __cplusplus
|
||||
|
||||
#include <opencv2/core.hpp>
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
//! @addtogroup core
|
||||
//! @{
|
||||
|
||||
/** @brief Affine transform
|
||||
*
|
||||
* It represents a 4x4 homogeneous transformation matrix \f$T\f$
|
||||
*
|
||||
* \f[T =
|
||||
* \begin{bmatrix}
|
||||
* R & t\\
|
||||
* 0 & 1\\
|
||||
* \end{bmatrix}
|
||||
* \f]
|
||||
*
|
||||
* where \f$R\f$ is a 3x3 rotation matrix and \f$t\f$ is a 3x1 translation vector.
|
||||
*
|
||||
* You can specify \f$R\f$ either by a 3x3 rotation matrix or by a 3x1 rotation vector,
|
||||
* which is converted to a 3x3 rotation matrix by the Rodrigues formula.
|
||||
*
|
||||
* To construct a matrix \f$T\f$ representing first rotation around the axis \f$r\f$ with rotation
|
||||
* angle \f$|r|\f$ in radian (right hand rule) and then translation by the vector \f$t\f$, you can use
|
||||
*
|
||||
* @code
|
||||
* cv::Vec3f r, t;
|
||||
* cv::Affine3f T(r, t);
|
||||
* @endcode
|
||||
*
|
||||
* If you already have the rotation matrix \f$R\f$, then you can use
|
||||
*
|
||||
* @code
|
||||
* cv::Matx33f R;
|
||||
* cv::Affine3f T(R, t);
|
||||
* @endcode
|
||||
*
|
||||
* To extract the rotation matrix \f$R\f$ from \f$T\f$, use
|
||||
*
|
||||
* @code
|
||||
* cv::Matx33f R = T.rotation();
|
||||
* @endcode
|
||||
*
|
||||
* To extract the translation vector \f$t\f$ from \f$T\f$, use
|
||||
*
|
||||
* @code
|
||||
* cv::Vec3f t = T.translation();
|
||||
* @endcode
|
||||
*
|
||||
* To extract the rotation vector \f$r\f$ from \f$T\f$, use
|
||||
*
|
||||
* @code
|
||||
* cv::Vec3f r = T.rvec();
|
||||
* @endcode
|
||||
*
|
||||
* Note that since the mapping from rotation vectors to rotation matrices
|
||||
* is many to one. The returned rotation vector is not necessarily the one
|
||||
* you used before to set the matrix.
|
||||
*
|
||||
* If you have two transformations \f$T = T_1 * T_2\f$, use
|
||||
*
|
||||
* @code
|
||||
* cv::Affine3f T, T1, T2;
|
||||
* T = T2.concatenate(T1);
|
||||
* @endcode
|
||||
*
|
||||
* To get the inverse transform of \f$T\f$, use
|
||||
*
|
||||
* @code
|
||||
* cv::Affine3f T, T_inv;
|
||||
* T_inv = T.inv();
|
||||
* @endcode
|
||||
*
|
||||
*/
|
||||
template<typename T>
|
||||
class Affine3
|
||||
{
|
||||
public:
|
||||
typedef T float_type;
|
||||
typedef Matx<float_type, 3, 3> Mat3;
|
||||
typedef Matx<float_type, 4, 4> Mat4;
|
||||
typedef Vec<float_type, 3> Vec3;
|
||||
|
||||
//! Default constructor. It represents a 4x4 identity matrix.
|
||||
Affine3();
|
||||
|
||||
//! Augmented affine matrix
|
||||
Affine3(const Mat4& affine);
|
||||
|
||||
/**
|
||||
* The resulting 4x4 matrix is
|
||||
*
|
||||
* \f[
|
||||
* \begin{bmatrix}
|
||||
* R & t\\
|
||||
* 0 & 1\\
|
||||
* \end{bmatrix}
|
||||
* \f]
|
||||
*
|
||||
* @param R 3x3 rotation matrix.
|
||||
* @param t 3x1 translation vector.
|
||||
*/
|
||||
Affine3(const Mat3& R, const Vec3& t = Vec3::all(0));
|
||||
|
||||
/**
|
||||
* Rodrigues vector.
|
||||
*
|
||||
* The last row of the current matrix is set to [0,0,0,1].
|
||||
*
|
||||
* @param rvec 3x1 rotation vector. Its direction indicates the rotation axis and its length
|
||||
* indicates the rotation angle in radian (using right hand rule).
|
||||
* @param t 3x1 translation vector.
|
||||
*/
|
||||
Affine3(const Vec3& rvec, const Vec3& t = Vec3::all(0));
|
||||
|
||||
/**
|
||||
* Combines all constructors above. Supports 4x4, 3x4, 3x3, 1x3, 3x1 sizes of data matrix.
|
||||
*
|
||||
* The last row of the current matrix is set to [0,0,0,1] when data is not 4x4.
|
||||
*
|
||||
* @param data 1-channel matrix.
|
||||
* when it is 4x4, it is copied to the current matrix and t is not used.
|
||||
* When it is 3x4, it is copied to the upper part 3x4 of the current matrix and t is not used.
|
||||
* When it is 3x3, it is copied to the upper left 3x3 part of the current matrix.
|
||||
* When it is 3x1 or 1x3, it is treated as a rotation vector and the Rodrigues formula is used
|
||||
* to compute a 3x3 rotation matrix.
|
||||
* @param t 3x1 translation vector. It is used only when data is neither 4x4 nor 3x4.
|
||||
*/
|
||||
explicit Affine3(const Mat& data, const Vec3& t = Vec3::all(0));
|
||||
|
||||
//! From 16-element array
|
||||
explicit Affine3(const float_type* vals);
|
||||
|
||||
//! Create an 4x4 identity transform
|
||||
static Affine3 Identity();
|
||||
|
||||
/**
|
||||
* Rotation matrix.
|
||||
*
|
||||
* Copy the rotation matrix to the upper left 3x3 part of the current matrix.
|
||||
* The remaining elements of the current matrix are not changed.
|
||||
*
|
||||
* @param R 3x3 rotation matrix.
|
||||
*
|
||||
*/
|
||||
void rotation(const Mat3& R);
|
||||
|
||||
/**
|
||||
* Rodrigues vector.
|
||||
*
|
||||
* It sets the upper left 3x3 part of the matrix. The remaining part is unaffected.
|
||||
*
|
||||
* @param rvec 3x1 rotation vector. The direction indicates the rotation axis and
|
||||
* its length indicates the rotation angle in radian (using the right thumb convention).
|
||||
*/
|
||||
void rotation(const Vec3& rvec);
|
||||
|
||||
/**
|
||||
* Combines rotation methods above. Supports 3x3, 1x3, 3x1 sizes of data matrix.
|
||||
*
|
||||
* It sets the upper left 3x3 part of the matrix. The remaining part is unaffected.
|
||||
*
|
||||
* @param data 1-channel matrix.
|
||||
* When it is a 3x3 matrix, it sets the upper left 3x3 part of the current matrix.
|
||||
* When it is a 1x3 or 3x1 matrix, it is used as a rotation vector. The Rodrigues formula
|
||||
* is used to compute the rotation matrix and sets the upper left 3x3 part of the current matrix.
|
||||
*/
|
||||
void rotation(const Mat& data);
|
||||
|
||||
/**
|
||||
* Copy the 3x3 matrix L to the upper left part of the current matrix
|
||||
*
|
||||
* It sets the upper left 3x3 part of the matrix. The remaining part is unaffected.
|
||||
*
|
||||
* @param L 3x3 matrix.
|
||||
*/
|
||||
void linear(const Mat3& L);
|
||||
|
||||
/**
|
||||
* Copy t to the first three elements of the last column of the current matrix
|
||||
*
|
||||
* It sets the upper right 3x1 part of the matrix. The remaining part is unaffected.
|
||||
*
|
||||
* @param t 3x1 translation vector.
|
||||
*/
|
||||
void translation(const Vec3& t);
|
||||
|
||||
//! @return the upper left 3x3 part
|
||||
Mat3 rotation() const;
|
||||
|
||||
//! @return the upper left 3x3 part
|
||||
Mat3 linear() const;
|
||||
|
||||
//! @return the upper right 3x1 part
|
||||
Vec3 translation() const;
|
||||
|
||||
//! Rodrigues vector.
|
||||
//! @return a vector representing the upper left 3x3 rotation matrix of the current matrix.
|
||||
//! @warning Since the mapping between rotation vectors and rotation matrices is many to one,
|
||||
//! this function returns only one rotation vector that represents the current rotation matrix,
|
||||
//! which is not necessarily the same one set by `rotation(const Vec3& rvec)`.
|
||||
Vec3 rvec() const;
|
||||
|
||||
//! @return the inverse of the current matrix.
|
||||
Affine3 inv(int method = cv::DECOMP_SVD) const;
|
||||
|
||||
//! a.rotate(R) is equivalent to Affine(R, 0) * a;
|
||||
Affine3 rotate(const Mat3& R) const;
|
||||
|
||||
//! a.rotate(rvec) is equivalent to Affine(rvec, 0) * a;
|
||||
Affine3 rotate(const Vec3& rvec) const;
|
||||
|
||||
//! a.translate(t) is equivalent to Affine(E, t) * a, where E is an identity matrix
|
||||
Affine3 translate(const Vec3& t) const;
|
||||
|
||||
//! a.concatenate(affine) is equivalent to affine * a;
|
||||
Affine3 concatenate(const Affine3& affine) const;
|
||||
|
||||
template <typename Y> operator Affine3<Y>() const;
|
||||
|
||||
template <typename Y> Affine3<Y> cast() const;
|
||||
|
||||
Mat4 matrix;
|
||||
|
||||
#if defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H
|
||||
Affine3(const Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>& affine);
|
||||
Affine3(const Eigen::Transform<T, 3, Eigen::Affine>& affine);
|
||||
operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>() const;
|
||||
operator Eigen::Transform<T, 3, Eigen::Affine>() const;
|
||||
#endif
|
||||
};
|
||||
|
||||
template<typename T> static
|
||||
Affine3<T> operator*(const Affine3<T>& affine1, const Affine3<T>& affine2);
|
||||
|
||||
//! V is a 3-element vector with member fields x, y and z
|
||||
template<typename T, typename V> static
|
||||
V operator*(const Affine3<T>& affine, const V& vector);
|
||||
|
||||
typedef Affine3<float> Affine3f;
|
||||
typedef Affine3<double> Affine3d;
|
||||
|
||||
static Vec3f operator*(const Affine3f& affine, const Vec3f& vector);
|
||||
static Vec3d operator*(const Affine3d& affine, const Vec3d& vector);
|
||||
|
||||
template<typename _Tp> class DataType< Affine3<_Tp> >
|
||||
{
|
||||
public:
|
||||
typedef Affine3<_Tp> value_type;
|
||||
typedef Affine3<typename DataType<_Tp>::work_type> work_type;
|
||||
typedef _Tp channel_type;
|
||||
|
||||
enum { generic_type = 0,
|
||||
channels = 16,
|
||||
fmt = traits::SafeFmt<channel_type>::fmt + ((channels - 1) << 8)
|
||||
#ifdef OPENCV_TRAITS_ENABLE_DEPRECATED
|
||||
,depth = DataType<channel_type>::depth
|
||||
,type = CV_MAKETYPE(depth, channels)
|
||||
#endif
|
||||
};
|
||||
|
||||
typedef Vec<channel_type, channels> vec_type;
|
||||
};
|
||||
|
||||
namespace traits {
|
||||
template<typename _Tp>
|
||||
struct Depth< Affine3<_Tp> > { enum { value = Depth<_Tp>::value }; };
|
||||
template<typename _Tp>
|
||||
struct Type< Affine3<_Tp> > { enum { value = CV_MAKETYPE(Depth<_Tp>::value, 16) }; };
|
||||
} // namespace
|
||||
|
||||
//! @} core
|
||||
|
||||
}
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////
|
||||
// Implementation
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3()
|
||||
: matrix(Mat4::eye())
|
||||
{}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3(const Mat4& affine)
|
||||
: matrix(affine)
|
||||
{}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3(const Mat3& R, const Vec3& t)
|
||||
{
|
||||
rotation(R);
|
||||
translation(t);
|
||||
matrix.val[12] = matrix.val[13] = matrix.val[14] = 0;
|
||||
matrix.val[15] = 1;
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3(const Vec3& _rvec, const Vec3& t)
|
||||
{
|
||||
rotation(_rvec);
|
||||
translation(t);
|
||||
matrix.val[12] = matrix.val[13] = matrix.val[14] = 0;
|
||||
matrix.val[15] = 1;
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3(const cv::Mat& data, const Vec3& t)
|
||||
{
|
||||
CV_Assert(data.type() == cv::traits::Type<T>::value);
|
||||
CV_Assert(data.channels() == 1);
|
||||
|
||||
if (data.cols == 4 && data.rows == 4)
|
||||
{
|
||||
data.copyTo(matrix);
|
||||
return;
|
||||
}
|
||||
else if (data.cols == 4 && data.rows == 3)
|
||||
{
|
||||
rotation(data(Rect(0, 0, 3, 3)));
|
||||
translation(data(Rect(3, 0, 1, 3)));
|
||||
}
|
||||
else
|
||||
{
|
||||
rotation(data);
|
||||
translation(t);
|
||||
}
|
||||
|
||||
matrix.val[12] = matrix.val[13] = matrix.val[14] = 0;
|
||||
matrix.val[15] = 1;
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3(const float_type* vals) : matrix(vals)
|
||||
{}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T> cv::Affine3<T>::Identity()
|
||||
{
|
||||
return Affine3<T>(cv::Affine3<T>::Mat4::eye());
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
void cv::Affine3<T>::rotation(const Mat3& R)
|
||||
{
|
||||
linear(R);
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
void cv::Affine3<T>::rotation(const Vec3& _rvec)
|
||||
{
|
||||
double theta = norm(_rvec);
|
||||
|
||||
if (theta < DBL_EPSILON)
|
||||
rotation(Mat3::eye());
|
||||
else
|
||||
{
|
||||
double c = std::cos(theta);
|
||||
double s = std::sin(theta);
|
||||
double c1 = 1. - c;
|
||||
double itheta = (theta != 0) ? 1./theta : 0.;
|
||||
|
||||
Point3_<T> r = _rvec*itheta;
|
||||
|
||||
Mat3 rrt( r.x*r.x, r.x*r.y, r.x*r.z, r.x*r.y, r.y*r.y, r.y*r.z, r.x*r.z, r.y*r.z, r.z*r.z );
|
||||
Mat3 r_x( 0, -r.z, r.y, r.z, 0, -r.x, -r.y, r.x, 0 );
|
||||
|
||||
// R = cos(theta)*I + (1 - cos(theta))*r*rT + sin(theta)*[r_x]
|
||||
// where [r_x] is [0 -rz ry; rz 0 -rx; -ry rx 0]
|
||||
Mat3 R = c*Mat3::eye() + c1*rrt + s*r_x;
|
||||
|
||||
rotation(R);
|
||||
}
|
||||
}
|
||||
|
||||
//Combines rotation methods above. Supports 3x3, 1x3, 3x1 sizes of data matrix;
|
||||
template<typename T> inline
|
||||
void cv::Affine3<T>::rotation(const cv::Mat& data)
|
||||
{
|
||||
CV_Assert(data.type() == cv::traits::Type<T>::value);
|
||||
CV_Assert(data.channels() == 1);
|
||||
|
||||
if (data.cols == 3 && data.rows == 3)
|
||||
{
|
||||
Mat3 R;
|
||||
data.copyTo(R);
|
||||
rotation(R);
|
||||
}
|
||||
else if ((data.cols == 3 && data.rows == 1) || (data.cols == 1 && data.rows == 3))
|
||||
{
|
||||
Vec3 _rvec;
|
||||
data.reshape(1, 3).copyTo(_rvec);
|
||||
rotation(_rvec);
|
||||
}
|
||||
else
|
||||
CV_Error(Error::StsError, "Input matrix can only be 3x3, 1x3 or 3x1");
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
void cv::Affine3<T>::linear(const Mat3& L)
|
||||
{
|
||||
matrix.val[0] = L.val[0]; matrix.val[1] = L.val[1]; matrix.val[ 2] = L.val[2];
|
||||
matrix.val[4] = L.val[3]; matrix.val[5] = L.val[4]; matrix.val[ 6] = L.val[5];
|
||||
matrix.val[8] = L.val[6]; matrix.val[9] = L.val[7]; matrix.val[10] = L.val[8];
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
void cv::Affine3<T>::translation(const Vec3& t)
|
||||
{
|
||||
matrix.val[3] = t[0]; matrix.val[7] = t[1]; matrix.val[11] = t[2];
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
typename cv::Affine3<T>::Mat3 cv::Affine3<T>::rotation() const
|
||||
{
|
||||
return linear();
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
typename cv::Affine3<T>::Mat3 cv::Affine3<T>::linear() const
|
||||
{
|
||||
typename cv::Affine3<T>::Mat3 R;
|
||||
R.val[0] = matrix.val[0]; R.val[1] = matrix.val[1]; R.val[2] = matrix.val[ 2];
|
||||
R.val[3] = matrix.val[4]; R.val[4] = matrix.val[5]; R.val[5] = matrix.val[ 6];
|
||||
R.val[6] = matrix.val[8]; R.val[7] = matrix.val[9]; R.val[8] = matrix.val[10];
|
||||
return R;
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
typename cv::Affine3<T>::Vec3 cv::Affine3<T>::translation() const
|
||||
{
|
||||
return Vec3(matrix.val[3], matrix.val[7], matrix.val[11]);
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
typename cv::Affine3<T>::Vec3 cv::Affine3<T>::rvec() const
|
||||
{
|
||||
cv::Vec3d w;
|
||||
cv::Matx33d u, vt, R = rotation();
|
||||
cv::SVD::compute(R, w, u, vt, cv::SVD::FULL_UV + cv::SVD::MODIFY_A);
|
||||
R = u * vt;
|
||||
|
||||
double rx = R.val[7] - R.val[5];
|
||||
double ry = R.val[2] - R.val[6];
|
||||
double rz = R.val[3] - R.val[1];
|
||||
|
||||
double s = std::sqrt((rx*rx + ry*ry + rz*rz)*0.25);
|
||||
double c = (R.val[0] + R.val[4] + R.val[8] - 1) * 0.5;
|
||||
c = c > 1.0 ? 1.0 : c < -1.0 ? -1.0 : c;
|
||||
double theta = acos(c);
|
||||
|
||||
if( s < 1e-5 )
|
||||
{
|
||||
if( c > 0 )
|
||||
rx = ry = rz = 0;
|
||||
else
|
||||
{
|
||||
double t;
|
||||
t = (R.val[0] + 1) * 0.5;
|
||||
rx = std::sqrt(std::max(t, 0.0));
|
||||
t = (R.val[4] + 1) * 0.5;
|
||||
ry = std::sqrt(std::max(t, 0.0)) * (R.val[1] < 0 ? -1.0 : 1.0);
|
||||
t = (R.val[8] + 1) * 0.5;
|
||||
rz = std::sqrt(std::max(t, 0.0)) * (R.val[2] < 0 ? -1.0 : 1.0);
|
||||
|
||||
if( fabs(rx) < fabs(ry) && fabs(rx) < fabs(rz) && (R.val[5] > 0) != (ry*rz > 0) )
|
||||
rz = -rz;
|
||||
theta /= std::sqrt(rx*rx + ry*ry + rz*rz);
|
||||
rx *= theta;
|
||||
ry *= theta;
|
||||
rz *= theta;
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
double vth = 1/(2*s);
|
||||
vth *= theta;
|
||||
rx *= vth; ry *= vth; rz *= vth;
|
||||
}
|
||||
|
||||
return cv::Vec3d(rx, ry, rz);
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T> cv::Affine3<T>::inv(int method) const
|
||||
{
|
||||
return matrix.inv(method);
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T> cv::Affine3<T>::rotate(const Mat3& R) const
|
||||
{
|
||||
Mat3 Lc = linear();
|
||||
Vec3 tc = translation();
|
||||
Mat4 result;
|
||||
result.val[12] = result.val[13] = result.val[14] = 0;
|
||||
result.val[15] = 1;
|
||||
|
||||
for(int j = 0; j < 3; ++j)
|
||||
{
|
||||
for(int i = 0; i < 3; ++i)
|
||||
{
|
||||
float_type value = 0;
|
||||
for(int k = 0; k < 3; ++k)
|
||||
value += R(j, k) * Lc(k, i);
|
||||
result(j, i) = value;
|
||||
}
|
||||
|
||||
result(j, 3) = R.row(j).dot(tc.t());
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T> cv::Affine3<T>::rotate(const Vec3& _rvec) const
|
||||
{
|
||||
return rotate(Affine3f(_rvec).rotation());
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T> cv::Affine3<T>::translate(const Vec3& t) const
|
||||
{
|
||||
Mat4 m = matrix;
|
||||
m.val[ 3] += t[0];
|
||||
m.val[ 7] += t[1];
|
||||
m.val[11] += t[2];
|
||||
return m;
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T> cv::Affine3<T>::concatenate(const Affine3<T>& affine) const
|
||||
{
|
||||
return (*this).rotate(affine.rotation()).translate(affine.translation());
|
||||
}
|
||||
|
||||
template<typename T> template <typename Y> inline
|
||||
cv::Affine3<T>::operator Affine3<Y>() const
|
||||
{
|
||||
return Affine3<Y>(matrix);
|
||||
}
|
||||
|
||||
template<typename T> template <typename Y> inline
|
||||
cv::Affine3<Y> cv::Affine3<T>::cast() const
|
||||
{
|
||||
return Affine3<Y>(matrix);
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T> cv::operator*(const cv::Affine3<T>& affine1, const cv::Affine3<T>& affine2)
|
||||
{
|
||||
return affine2.concatenate(affine1);
|
||||
}
|
||||
|
||||
template<typename T, typename V> inline
|
||||
V cv::operator*(const cv::Affine3<T>& affine, const V& v)
|
||||
{
|
||||
const typename Affine3<T>::Mat4& m = affine.matrix;
|
||||
|
||||
V r;
|
||||
r.x = m.val[0] * v.x + m.val[1] * v.y + m.val[ 2] * v.z + m.val[ 3];
|
||||
r.y = m.val[4] * v.x + m.val[5] * v.y + m.val[ 6] * v.z + m.val[ 7];
|
||||
r.z = m.val[8] * v.x + m.val[9] * v.y + m.val[10] * v.z + m.val[11];
|
||||
return r;
|
||||
}
|
||||
|
||||
static inline
|
||||
cv::Vec3f cv::operator*(const cv::Affine3f& affine, const cv::Vec3f& v)
|
||||
{
|
||||
const cv::Matx44f& m = affine.matrix;
|
||||
cv::Vec3f r;
|
||||
r.val[0] = m.val[0] * v[0] + m.val[1] * v[1] + m.val[ 2] * v[2] + m.val[ 3];
|
||||
r.val[1] = m.val[4] * v[0] + m.val[5] * v[1] + m.val[ 6] * v[2] + m.val[ 7];
|
||||
r.val[2] = m.val[8] * v[0] + m.val[9] * v[1] + m.val[10] * v[2] + m.val[11];
|
||||
return r;
|
||||
}
|
||||
|
||||
static inline
|
||||
cv::Vec3d cv::operator*(const cv::Affine3d& affine, const cv::Vec3d& v)
|
||||
{
|
||||
const cv::Matx44d& m = affine.matrix;
|
||||
cv::Vec3d r;
|
||||
r.val[0] = m.val[0] * v[0] + m.val[1] * v[1] + m.val[ 2] * v[2] + m.val[ 3];
|
||||
r.val[1] = m.val[4] * v[0] + m.val[5] * v[1] + m.val[ 6] * v[2] + m.val[ 7];
|
||||
r.val[2] = m.val[8] * v[0] + m.val[9] * v[1] + m.val[10] * v[2] + m.val[11];
|
||||
return r;
|
||||
}
|
||||
|
||||
|
||||
|
||||
#if defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>& affine)
|
||||
{
|
||||
cv::Mat(4, 4, cv::traits::Type<T>::value, affine.matrix().data()).copyTo(matrix);
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine>& affine)
|
||||
{
|
||||
Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)> a = affine;
|
||||
cv::Mat(4, 4, cv::traits::Type<T>::value, a.matrix().data()).copyTo(matrix);
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>() const
|
||||
{
|
||||
Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)> r;
|
||||
cv::Mat hdr(4, 4, cv::traits::Type<T>::value, r.matrix().data());
|
||||
cv::Mat(matrix, false).copyTo(hdr);
|
||||
return r;
|
||||
}
|
||||
|
||||
template<typename T> inline
|
||||
cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine>() const
|
||||
{
|
||||
return this->operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>();
|
||||
}
|
||||
|
||||
#endif /* defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H */
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif /* __cplusplus */
|
||||
|
||||
#endif /* OPENCV_CORE_AFFINE3_HPP */
|
||||
@ -1,772 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Copyright (C) 2014, Itseez Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CORE_BASE_HPP
|
||||
#define OPENCV_CORE_BASE_HPP
|
||||
|
||||
#ifndef __cplusplus
|
||||
# error base.hpp header must be compiled as C++
|
||||
#endif
|
||||
|
||||
#include "opencv2/opencv_modules.hpp"
|
||||
|
||||
#include <climits>
|
||||
#include <algorithm>
|
||||
|
||||
#include "opencv2/core/cvdef.h"
|
||||
#include "opencv2/core/cvstd.hpp"
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
//! @addtogroup core_utils
|
||||
//! @{
|
||||
|
||||
namespace Error {
|
||||
//! error codes
|
||||
enum Code {
|
||||
StsOk= 0, //!< everything is ok
|
||||
StsBackTrace= -1, //!< pseudo error for back trace
|
||||
StsError= -2, //!< unknown /unspecified error
|
||||
StsInternal= -3, //!< internal error (bad state)
|
||||
StsNoMem= -4, //!< insufficient memory
|
||||
StsBadArg= -5, //!< function arg/param is bad
|
||||
StsBadFunc= -6, //!< unsupported function
|
||||
StsNoConv= -7, //!< iteration didn't converge
|
||||
StsAutoTrace= -8, //!< tracing
|
||||
HeaderIsNull= -9, //!< image header is NULL
|
||||
BadImageSize= -10, //!< image size is invalid
|
||||
BadOffset= -11, //!< offset is invalid
|
||||
BadDataPtr= -12, //!<
|
||||
BadStep= -13, //!< image step is wrong, this may happen for a non-continuous matrix.
|
||||
BadModelOrChSeq= -14, //!<
|
||||
BadNumChannels= -15, //!< bad number of channels, for example, some functions accept only single channel matrices.
|
||||
BadNumChannel1U= -16, //!<
|
||||
BadDepth= -17, //!< input image depth is not supported by the function
|
||||
BadAlphaChannel= -18, //!<
|
||||
BadOrder= -19, //!< number of dimensions is out of range
|
||||
BadOrigin= -20, //!< incorrect input origin
|
||||
BadAlign= -21, //!< incorrect input align
|
||||
BadCallBack= -22, //!<
|
||||
BadTileSize= -23, //!<
|
||||
BadCOI= -24, //!< input COI is not supported
|
||||
BadROISize= -25, //!< incorrect input roi
|
||||
MaskIsTiled= -26, //!<
|
||||
StsNullPtr= -27, //!< null pointer
|
||||
StsVecLengthErr= -28, //!< incorrect vector length
|
||||
StsFilterStructContentErr= -29, //!< incorrect filter structure content
|
||||
StsKernelStructContentErr= -30, //!< incorrect transform kernel content
|
||||
StsFilterOffsetErr= -31, //!< incorrect filter offset value
|
||||
StsBadSize= -201, //!< the input/output structure size is incorrect
|
||||
StsDivByZero= -202, //!< division by zero
|
||||
StsInplaceNotSupported= -203, //!< in-place operation is not supported
|
||||
StsObjectNotFound= -204, //!< request can't be completed
|
||||
StsUnmatchedFormats= -205, //!< formats of input/output arrays differ
|
||||
StsBadFlag= -206, //!< flag is wrong or not supported
|
||||
StsBadPoint= -207, //!< bad CvPoint
|
||||
StsBadMask= -208, //!< bad format of mask (neither 8uC1 nor 8sC1)
|
||||
StsUnmatchedSizes= -209, //!< sizes of input/output structures do not match
|
||||
StsUnsupportedFormat= -210, //!< the data format/type is not supported by the function
|
||||
StsOutOfRange= -211, //!< some of parameters are out of range
|
||||
StsParseError= -212, //!< invalid syntax/structure of the parsed file
|
||||
StsNotImplemented= -213, //!< the requested function/feature is not implemented
|
||||
StsBadMemBlock= -214, //!< an allocated block has been corrupted
|
||||
StsAssert= -215, //!< assertion failed
|
||||
GpuNotSupported= -216, //!< no CUDA support
|
||||
GpuApiCallError= -217, //!< GPU API call error
|
||||
OpenGlNotSupported= -218, //!< no OpenGL support
|
||||
OpenGlApiCallError= -219, //!< OpenGL API call error
|
||||
OpenCLApiCallError= -220, //!< OpenCL API call error
|
||||
OpenCLDoubleNotSupported= -221,
|
||||
OpenCLInitError= -222, //!< OpenCL initialization error
|
||||
OpenCLNoAMDBlasFft= -223
|
||||
};
|
||||
} //Error
|
||||
|
||||
//! @} core_utils
|
||||
|
||||
//! @addtogroup core_array
|
||||
//! @{
|
||||
|
||||
//! matrix decomposition types
|
||||
enum DecompTypes {
|
||||
/** Gaussian elimination with the optimal pivot element chosen. */
|
||||
DECOMP_LU = 0,
|
||||
/** singular value decomposition (SVD) method; the system can be over-defined and/or the matrix
|
||||
src1 can be singular */
|
||||
DECOMP_SVD = 1,
|
||||
/** eigenvalue decomposition; the matrix src1 must be symmetrical */
|
||||
DECOMP_EIG = 2,
|
||||
/** Cholesky \f$LL^T\f$ factorization; the matrix src1 must be symmetrical and positively
|
||||
defined */
|
||||
DECOMP_CHOLESKY = 3,
|
||||
/** QR factorization; the system can be over-defined and/or the matrix src1 can be singular */
|
||||
DECOMP_QR = 4,
|
||||
/** while all the previous flags are mutually exclusive, this flag can be used together with
|
||||
any of the previous; it means that the normal equations
|
||||
\f$\texttt{src1}^T\cdot\texttt{src1}\cdot\texttt{dst}=\texttt{src1}^T\texttt{src2}\f$ are
|
||||
solved instead of the original system
|
||||
\f$\texttt{src1}\cdot\texttt{dst}=\texttt{src2}\f$ */
|
||||
DECOMP_NORMAL = 16
|
||||
};
|
||||
|
||||
/** norm types
|
||||
|
||||
src1 and src2 denote input arrays.
|
||||
*/
|
||||
|
||||
enum NormTypes {
|
||||
/**
|
||||
\f[
|
||||
norm = \forkthree
|
||||
{\|\texttt{src1}\|_{L_{\infty}} = \max _I | \texttt{src1} (I)|}{if \(\texttt{normType} = \texttt{NORM_INF}\) }
|
||||
{\|\texttt{src1}-\texttt{src2}\|_{L_{\infty}} = \max _I | \texttt{src1} (I) - \texttt{src2} (I)|}{if \(\texttt{normType} = \texttt{NORM_INF}\) }
|
||||
{\frac{\|\texttt{src1}-\texttt{src2}\|_{L_{\infty}} }{\|\texttt{src2}\|_{L_{\infty}} }}{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_INF}\) }
|
||||
\f]
|
||||
*/
|
||||
NORM_INF = 1,
|
||||
/**
|
||||
\f[
|
||||
norm = \forkthree
|
||||
{\| \texttt{src1} \| _{L_1} = \sum _I | \texttt{src1} (I)|}{if \(\texttt{normType} = \texttt{NORM_L1}\)}
|
||||
{ \| \texttt{src1} - \texttt{src2} \| _{L_1} = \sum _I | \texttt{src1} (I) - \texttt{src2} (I)|}{if \(\texttt{normType} = \texttt{NORM_L1}\) }
|
||||
{ \frac{\|\texttt{src1}-\texttt{src2}\|_{L_1} }{\|\texttt{src2}\|_{L_1}} }{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_L1}\) }
|
||||
\f]*/
|
||||
NORM_L1 = 2,
|
||||
/**
|
||||
\f[
|
||||
norm = \forkthree
|
||||
{ \| \texttt{src1} \| _{L_2} = \sqrt{\sum_I \texttt{src1}(I)^2} }{if \(\texttt{normType} = \texttt{NORM_L2}\) }
|
||||
{ \| \texttt{src1} - \texttt{src2} \| _{L_2} = \sqrt{\sum_I (\texttt{src1}(I) - \texttt{src2}(I))^2} }{if \(\texttt{normType} = \texttt{NORM_L2}\) }
|
||||
{ \frac{\|\texttt{src1}-\texttt{src2}\|_{L_2} }{\|\texttt{src2}\|_{L_2}} }{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_L2}\) }
|
||||
\f]
|
||||
*/
|
||||
NORM_L2 = 4,
|
||||
/**
|
||||
\f[
|
||||
norm = \forkthree
|
||||
{ \| \texttt{src1} \| _{L_2} ^{2} = \sum_I \texttt{src1}(I)^2} {if \(\texttt{normType} = \texttt{NORM_L2SQR}\)}
|
||||
{ \| \texttt{src1} - \texttt{src2} \| _{L_2} ^{2} = \sum_I (\texttt{src1}(I) - \texttt{src2}(I))^2 }{if \(\texttt{normType} = \texttt{NORM_L2SQR}\) }
|
||||
{ \left(\frac{\|\texttt{src1}-\texttt{src2}\|_{L_2} }{\|\texttt{src2}\|_{L_2}}\right)^2 }{if \(\texttt{normType} = \texttt{NORM_RELATIVE | NORM_L2}\) }
|
||||
\f]
|
||||
*/
|
||||
NORM_L2SQR = 5,
|
||||
/**
|
||||
In the case of one input array, calculates the Hamming distance of the array from zero,
|
||||
In the case of two input arrays, calculates the Hamming distance between the arrays.
|
||||
*/
|
||||
NORM_HAMMING = 6,
|
||||
/**
|
||||
Similar to NORM_HAMMING, but in the calculation, each two bits of the input sequence will
|
||||
be added and treated as a single bit to be used in the same calculation as NORM_HAMMING.
|
||||
*/
|
||||
NORM_HAMMING2 = 7,
|
||||
NORM_TYPE_MASK = 7, //!< bit-mask which can be used to separate norm type from norm flags
|
||||
NORM_RELATIVE = 8, //!< flag
|
||||
NORM_MINMAX = 32 //!< flag
|
||||
};
|
||||
|
||||
//! comparison types
|
||||
enum CmpTypes { CMP_EQ = 0, //!< src1 is equal to src2.
|
||||
CMP_GT = 1, //!< src1 is greater than src2.
|
||||
CMP_GE = 2, //!< src1 is greater than or equal to src2.
|
||||
CMP_LT = 3, //!< src1 is less than src2.
|
||||
CMP_LE = 4, //!< src1 is less than or equal to src2.
|
||||
CMP_NE = 5 //!< src1 is unequal to src2.
|
||||
};
|
||||
|
||||
//! generalized matrix multiplication flags
|
||||
enum GemmFlags { GEMM_1_T = 1, //!< transposes src1
|
||||
GEMM_2_T = 2, //!< transposes src2
|
||||
GEMM_3_T = 4 //!< transposes src3
|
||||
};
|
||||
|
||||
enum DftFlags {
|
||||
/** performs an inverse 1D or 2D transform instead of the default forward
|
||||
transform. */
|
||||
DFT_INVERSE = 1,
|
||||
/** scales the result: divide it by the number of array elements. Normally, it is
|
||||
combined with DFT_INVERSE. */
|
||||
DFT_SCALE = 2,
|
||||
/** performs a forward or inverse transform of every individual row of the input
|
||||
matrix; this flag enables you to transform multiple vectors simultaneously and can be used to
|
||||
decrease the overhead (which is sometimes several times larger than the processing itself) to
|
||||
perform 3D and higher-dimensional transformations and so forth.*/
|
||||
DFT_ROWS = 4,
|
||||
/** performs a forward transformation of 1D or 2D real array; the result,
|
||||
though being a complex array, has complex-conjugate symmetry (*CCS*, see the function
|
||||
description below for details), and such an array can be packed into a real array of the same
|
||||
size as input, which is the fastest option and which is what the function does by default;
|
||||
however, you may wish to get a full complex array (for simpler spectrum analysis, and so on) -
|
||||
pass the flag to enable the function to produce a full-size complex output array. */
|
||||
DFT_COMPLEX_OUTPUT = 16,
|
||||
/** performs an inverse transformation of a 1D or 2D complex array; the
|
||||
result is normally a complex array of the same size, however, if the input array has
|
||||
conjugate-complex symmetry (for example, it is a result of forward transformation with
|
||||
DFT_COMPLEX_OUTPUT flag), the output is a real array; while the function itself does not
|
||||
check whether the input is symmetrical or not, you can pass the flag and then the function
|
||||
will assume the symmetry and produce the real output array (note that when the input is packed
|
||||
into a real array and inverse transformation is executed, the function treats the input as a
|
||||
packed complex-conjugate symmetrical array, and the output will also be a real array). */
|
||||
DFT_REAL_OUTPUT = 32,
|
||||
/** specifies that input is complex input. If this flag is set, the input must have 2 channels.
|
||||
On the other hand, for backwards compatibility reason, if input has 2 channels, input is
|
||||
already considered complex. */
|
||||
DFT_COMPLEX_INPUT = 64,
|
||||
/** performs an inverse 1D or 2D transform instead of the default forward transform. */
|
||||
DCT_INVERSE = DFT_INVERSE,
|
||||
/** performs a forward or inverse transform of every individual row of the input
|
||||
matrix. This flag enables you to transform multiple vectors simultaneously and can be used to
|
||||
decrease the overhead (which is sometimes several times larger than the processing itself) to
|
||||
perform 3D and higher-dimensional transforms and so forth.*/
|
||||
DCT_ROWS = DFT_ROWS
|
||||
};
|
||||
|
||||
//! Various border types, image boundaries are denoted with `|`
|
||||
//! @see borderInterpolate, copyMakeBorder
|
||||
enum BorderTypes {
|
||||
BORDER_CONSTANT = 0, //!< `iiiiii|abcdefgh|iiiiiii` with some specified `i`
|
||||
BORDER_REPLICATE = 1, //!< `aaaaaa|abcdefgh|hhhhhhh`
|
||||
BORDER_REFLECT = 2, //!< `fedcba|abcdefgh|hgfedcb`
|
||||
BORDER_WRAP = 3, //!< `cdefgh|abcdefgh|abcdefg`
|
||||
BORDER_REFLECT_101 = 4, //!< `gfedcb|abcdefgh|gfedcba`
|
||||
BORDER_TRANSPARENT = 5, //!< `uvwxyz|abcdefgh|ijklmno`
|
||||
|
||||
BORDER_REFLECT101 = BORDER_REFLECT_101, //!< same as BORDER_REFLECT_101
|
||||
BORDER_DEFAULT = BORDER_REFLECT_101, //!< same as BORDER_REFLECT_101
|
||||
BORDER_ISOLATED = 16 //!< do not look outside of ROI
|
||||
};
|
||||
|
||||
//! @} core_array
|
||||
|
||||
//! @addtogroup core_utils
|
||||
//! @{
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
//////////////// static assert /////////////////
|
||||
#define CVAUX_CONCAT_EXP(a, b) a##b
|
||||
#define CVAUX_CONCAT(a, b) CVAUX_CONCAT_EXP(a,b)
|
||||
|
||||
#if defined(__clang__)
|
||||
# ifndef __has_extension
|
||||
# define __has_extension __has_feature /* compatibility, for older versions of clang */
|
||||
# endif
|
||||
# if __has_extension(cxx_static_assert)
|
||||
# define CV_StaticAssert(condition, reason) static_assert((condition), reason " " #condition)
|
||||
# elif __has_extension(c_static_assert)
|
||||
# define CV_StaticAssert(condition, reason) _Static_assert((condition), reason " " #condition)
|
||||
# endif
|
||||
#elif defined(__GNUC__)
|
||||
# if (defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L)
|
||||
# define CV_StaticAssert(condition, reason) static_assert((condition), reason " " #condition)
|
||||
# endif
|
||||
#elif defined(_MSC_VER)
|
||||
# if _MSC_VER >= 1600 /* MSVC 10 */
|
||||
# define CV_StaticAssert(condition, reason) static_assert((condition), reason " " #condition)
|
||||
# endif
|
||||
#endif
|
||||
#ifndef CV_StaticAssert
|
||||
# if !defined(__clang__) && defined(__GNUC__) && (__GNUC__*100 + __GNUC_MINOR__ > 302)
|
||||
# define CV_StaticAssert(condition, reason) ({ extern int __attribute__((error("CV_StaticAssert: " reason " " #condition))) CV_StaticAssert(); ((condition) ? 0 : CV_StaticAssert()); })
|
||||
# else
|
||||
template <bool x> struct CV_StaticAssert_failed;
|
||||
template <> struct CV_StaticAssert_failed<true> { enum { val = 1 }; };
|
||||
template<int x> struct CV_StaticAssert_test {};
|
||||
# define CV_StaticAssert(condition, reason)\
|
||||
typedef cv::CV_StaticAssert_test< sizeof(cv::CV_StaticAssert_failed< static_cast<bool>(condition) >) > CVAUX_CONCAT(CV_StaticAssert_failed_at_, __LINE__)
|
||||
# endif
|
||||
#endif
|
||||
|
||||
// Suppress warning "-Wdeprecated-declarations" / C4996
|
||||
#if defined(_MSC_VER)
|
||||
#define CV_DO_PRAGMA(x) __pragma(x)
|
||||
#elif defined(__GNUC__)
|
||||
#define CV_DO_PRAGMA(x) _Pragma (#x)
|
||||
#else
|
||||
#define CV_DO_PRAGMA(x)
|
||||
#endif
|
||||
|
||||
#ifdef _MSC_VER
|
||||
#define CV_SUPPRESS_DEPRECATED_START \
|
||||
CV_DO_PRAGMA(warning(push)) \
|
||||
CV_DO_PRAGMA(warning(disable: 4996))
|
||||
#define CV_SUPPRESS_DEPRECATED_END CV_DO_PRAGMA(warning(pop))
|
||||
#elif defined (__clang__) || ((__GNUC__) && (__GNUC__*100 + __GNUC_MINOR__ > 405))
|
||||
#define CV_SUPPRESS_DEPRECATED_START \
|
||||
CV_DO_PRAGMA(GCC diagnostic push) \
|
||||
CV_DO_PRAGMA(GCC diagnostic ignored "-Wdeprecated-declarations")
|
||||
#define CV_SUPPRESS_DEPRECATED_END CV_DO_PRAGMA(GCC diagnostic pop)
|
||||
#else
|
||||
#define CV_SUPPRESS_DEPRECATED_START
|
||||
#define CV_SUPPRESS_DEPRECATED_END
|
||||
#endif
|
||||
|
||||
#define CV_UNUSED(name) (void)name
|
||||
|
||||
#if defined __GNUC__ && !defined __EXCEPTIONS
|
||||
#define CV_TRY
|
||||
#define CV_CATCH(A, B) for (A B; false; )
|
||||
#define CV_CATCH_ALL if (false)
|
||||
#define CV_THROW(A) abort()
|
||||
#define CV_RETHROW() abort()
|
||||
#else
|
||||
#define CV_TRY try
|
||||
#define CV_CATCH(A, B) catch(const A & B)
|
||||
#define CV_CATCH_ALL catch(...)
|
||||
#define CV_THROW(A) throw A
|
||||
#define CV_RETHROW() throw
|
||||
#endif
|
||||
|
||||
//! @endcond
|
||||
|
||||
/*! @brief Signals an error and raises the exception.
|
||||
|
||||
By default the function prints information about the error to stderr,
|
||||
then it either stops if setBreakOnError() had been called before or raises the exception.
|
||||
It is possible to alternate error processing by using redirectError().
|
||||
@param _code - error code (Error::Code)
|
||||
@param _err - error description
|
||||
@param _func - function name. Available only when the compiler supports getting it
|
||||
@param _file - source file name where the error has occurred
|
||||
@param _line - line number in the source file where the error has occurred
|
||||
@see CV_Error, CV_Error_, CV_Assert, CV_DbgAssert
|
||||
*/
|
||||
CV_EXPORTS void error(int _code, const String& _err, const char* _func, const char* _file, int _line);
|
||||
|
||||
#ifdef __GNUC__
|
||||
# if defined __clang__ || defined __APPLE__
|
||||
# pragma GCC diagnostic push
|
||||
# pragma GCC diagnostic ignored "-Winvalid-noreturn"
|
||||
# endif
|
||||
#endif
|
||||
|
||||
/** same as cv::error, but does not return */
|
||||
CV_INLINE CV_NORETURN void errorNoReturn(int _code, const String& _err, const char* _func, const char* _file, int _line)
|
||||
{
|
||||
error(_code, _err, _func, _file, _line);
|
||||
#ifdef __GNUC__
|
||||
# if !defined __clang__ && !defined __APPLE__
|
||||
// this suppresses this warning: "noreturn" function does return [enabled by default]
|
||||
__builtin_trap();
|
||||
// or use infinite loop: for (;;) {}
|
||||
# endif
|
||||
#endif
|
||||
}
|
||||
#ifdef __GNUC__
|
||||
# if defined __clang__ || defined __APPLE__
|
||||
# pragma GCC diagnostic pop
|
||||
# endif
|
||||
#endif
|
||||
|
||||
#if defined __GNUC__
|
||||
#define CV_Func __func__
|
||||
#elif defined _MSC_VER
|
||||
#define CV_Func __FUNCTION__
|
||||
#else
|
||||
#define CV_Func ""
|
||||
#endif
|
||||
|
||||
#ifdef CV_STATIC_ANALYSIS
|
||||
|
||||
// In practice, some macro are not processed correctly (noreturn is not detected).
|
||||
// We need to use simplified definition for them.
|
||||
#define CV_Error(...) do { abort(); } while (0)
|
||||
#define CV_Error_( code, args ) do { cv::format args; abort(); } while (0)
|
||||
#define CV_Assert_1( expr ) do { if (!(expr)) abort(); } while (0)
|
||||
|
||||
#else // CV_STATIC_ANALYSIS
|
||||
|
||||
/** @brief Call the error handler.
|
||||
|
||||
Currently, the error handler prints the error code and the error message to the standard
|
||||
error stream `stderr`. In the Debug configuration, it then provokes memory access violation, so that
|
||||
the execution stack and all the parameters can be analyzed by the debugger. In the Release
|
||||
configuration, the exception is thrown.
|
||||
|
||||
@param code one of Error::Code
|
||||
@param msg error message
|
||||
*/
|
||||
#define CV_Error( code, msg ) cv::error( code, msg, CV_Func, __FILE__, __LINE__ )
|
||||
|
||||
/** @brief Call the error handler.
|
||||
|
||||
This macro can be used to construct an error message on-fly to include some dynamic information,
|
||||
for example:
|
||||
@code
|
||||
// note the extra parentheses around the formatted text message
|
||||
CV_Error_( CV_StsOutOfRange,
|
||||
("the value at (%d, %d)=%g is out of range", badPt.x, badPt.y, badValue));
|
||||
@endcode
|
||||
@param code one of Error::Code
|
||||
@param args printf-like formatted error message in parentheses
|
||||
*/
|
||||
#define CV_Error_( code, args ) cv::error( code, cv::format args, CV_Func, __FILE__, __LINE__ )
|
||||
|
||||
#define CV_Assert_1( expr ) if(!!(expr)) ; else cv::error( cv::Error::StsAssert, #expr, CV_Func, __FILE__, __LINE__ )
|
||||
|
||||
//! @cond IGNORED
|
||||
#define CV__ErrorNoReturn( code, msg ) cv::errorNoReturn( code, msg, CV_Func, __FILE__, __LINE__ )
|
||||
#define CV__ErrorNoReturn_( code, args ) cv::errorNoReturn( code, cv::format args, CV_Func, __FILE__, __LINE__ )
|
||||
#ifdef __OPENCV_BUILD
|
||||
#undef CV_Error
|
||||
#define CV_Error CV__ErrorNoReturn
|
||||
#undef CV_Error_
|
||||
#define CV_Error_ CV__ErrorNoReturn_
|
||||
#undef CV_Assert_1
|
||||
#define CV_Assert_1( expr ) if(!!(expr)) ; else cv::errorNoReturn( cv::Error::StsAssert, #expr, CV_Func, __FILE__, __LINE__ )
|
||||
#else
|
||||
// backward compatibility
|
||||
#define CV_ErrorNoReturn CV__ErrorNoReturn
|
||||
#define CV_ErrorNoReturn_ CV__ErrorNoReturn_
|
||||
#endif
|
||||
//! @endcond
|
||||
|
||||
#endif // CV_STATIC_ANALYSIS
|
||||
|
||||
#define CV_Assert_2( expr1, expr2 ) CV_Assert_1(expr1); CV_Assert_1(expr2)
|
||||
#define CV_Assert_3( expr1, expr2, expr3 ) CV_Assert_2(expr1, expr2); CV_Assert_1(expr3)
|
||||
#define CV_Assert_4( expr1, expr2, expr3, expr4 ) CV_Assert_3(expr1, expr2, expr3); CV_Assert_1(expr4)
|
||||
#define CV_Assert_5( expr1, expr2, expr3, expr4, expr5 ) CV_Assert_4(expr1, expr2, expr3, expr4); CV_Assert_1(expr5)
|
||||
#define CV_Assert_6( expr1, expr2, expr3, expr4, expr5, expr6 ) CV_Assert_5(expr1, expr2, expr3, expr4, expr5); CV_Assert_1(expr6)
|
||||
#define CV_Assert_7( expr1, expr2, expr3, expr4, expr5, expr6, expr7 ) CV_Assert_6(expr1, expr2, expr3, expr4, expr5, expr6 ); CV_Assert_1(expr7)
|
||||
#define CV_Assert_8( expr1, expr2, expr3, expr4, expr5, expr6, expr7, expr8 ) CV_Assert_7(expr1, expr2, expr3, expr4, expr5, expr6, expr7 ); CV_Assert_1(expr8)
|
||||
#define CV_Assert_9( expr1, expr2, expr3, expr4, expr5, expr6, expr7, expr8, expr9 ) CV_Assert_8(expr1, expr2, expr3, expr4, expr5, expr6, expr7, expr8 ); CV_Assert_1(expr9)
|
||||
#define CV_Assert_10( expr1, expr2, expr3, expr4, expr5, expr6, expr7, expr8, expr9, expr10 ) CV_Assert_9(expr1, expr2, expr3, expr4, expr5, expr6, expr7, expr8, expr9 ); CV_Assert_1(expr10)
|
||||
|
||||
#define CV_VA_NUM_ARGS_HELPER(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, N, ...) N
|
||||
#define CV_VA_NUM_ARGS(...) CV_VA_NUM_ARGS_HELPER(__VA_ARGS__, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0)
|
||||
|
||||
/** @brief Checks a condition at runtime and throws exception if it fails
|
||||
|
||||
The macros CV_Assert (and CV_DbgAssert(expr)) evaluate the specified expression. If it is 0, the macros
|
||||
raise an error (see cv::error). The macro CV_Assert checks the condition in both Debug and Release
|
||||
configurations while CV_DbgAssert is only retained in the Debug configuration.
|
||||
*/
|
||||
#define CV_Assert(...) do { CVAUX_CONCAT(CV_Assert_, CV_VA_NUM_ARGS(__VA_ARGS__)) (__VA_ARGS__); } while(0)
|
||||
|
||||
/** replaced with CV_Assert(expr) in Debug configuration */
|
||||
#ifdef _DEBUG
|
||||
# define CV_DbgAssert(expr) CV_Assert(expr)
|
||||
#else
|
||||
# define CV_DbgAssert(expr)
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Hamming distance functor - counts the bit differences between two strings - useful for the Brief descriptor
|
||||
* bit count of A exclusive XOR'ed with B
|
||||
*/
|
||||
struct CV_EXPORTS Hamming
|
||||
{
|
||||
enum { normType = NORM_HAMMING };
|
||||
typedef unsigned char ValueType;
|
||||
typedef int ResultType;
|
||||
|
||||
/** this will count the bits in a ^ b
|
||||
*/
|
||||
ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const;
|
||||
};
|
||||
|
||||
typedef Hamming HammingLUT;
|
||||
|
||||
/////////////////////////////////// inline norms ////////////////////////////////////
|
||||
|
||||
template<typename _Tp> inline _Tp cv_abs(_Tp x) { return std::abs(x); }
|
||||
inline int cv_abs(uchar x) { return x; }
|
||||
inline int cv_abs(schar x) { return std::abs(x); }
|
||||
inline int cv_abs(ushort x) { return x; }
|
||||
inline int cv_abs(short x) { return std::abs(x); }
|
||||
|
||||
template<typename _Tp, typename _AccTp> static inline
|
||||
_AccTp normL2Sqr(const _Tp* a, int n)
|
||||
{
|
||||
_AccTp s = 0;
|
||||
int i=0;
|
||||
#if CV_ENABLE_UNROLLED
|
||||
for( ; i <= n - 4; i += 4 )
|
||||
{
|
||||
_AccTp v0 = a[i], v1 = a[i+1], v2 = a[i+2], v3 = a[i+3];
|
||||
s += v0*v0 + v1*v1 + v2*v2 + v3*v3;
|
||||
}
|
||||
#endif
|
||||
for( ; i < n; i++ )
|
||||
{
|
||||
_AccTp v = a[i];
|
||||
s += v*v;
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
template<typename _Tp, typename _AccTp> static inline
|
||||
_AccTp normL1(const _Tp* a, int n)
|
||||
{
|
||||
_AccTp s = 0;
|
||||
int i = 0;
|
||||
#if CV_ENABLE_UNROLLED
|
||||
for(; i <= n - 4; i += 4 )
|
||||
{
|
||||
s += (_AccTp)cv_abs(a[i]) + (_AccTp)cv_abs(a[i+1]) +
|
||||
(_AccTp)cv_abs(a[i+2]) + (_AccTp)cv_abs(a[i+3]);
|
||||
}
|
||||
#endif
|
||||
for( ; i < n; i++ )
|
||||
s += cv_abs(a[i]);
|
||||
return s;
|
||||
}
|
||||
|
||||
template<typename _Tp, typename _AccTp> static inline
|
||||
_AccTp normInf(const _Tp* a, int n)
|
||||
{
|
||||
_AccTp s = 0;
|
||||
for( int i = 0; i < n; i++ )
|
||||
s = std::max(s, (_AccTp)cv_abs(a[i]));
|
||||
return s;
|
||||
}
|
||||
|
||||
template<typename _Tp, typename _AccTp> static inline
|
||||
_AccTp normL2Sqr(const _Tp* a, const _Tp* b, int n)
|
||||
{
|
||||
_AccTp s = 0;
|
||||
int i= 0;
|
||||
#if CV_ENABLE_UNROLLED
|
||||
for(; i <= n - 4; i += 4 )
|
||||
{
|
||||
_AccTp v0 = _AccTp(a[i] - b[i]), v1 = _AccTp(a[i+1] - b[i+1]), v2 = _AccTp(a[i+2] - b[i+2]), v3 = _AccTp(a[i+3] - b[i+3]);
|
||||
s += v0*v0 + v1*v1 + v2*v2 + v3*v3;
|
||||
}
|
||||
#endif
|
||||
for( ; i < n; i++ )
|
||||
{
|
||||
_AccTp v = _AccTp(a[i] - b[i]);
|
||||
s += v*v;
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
static inline float normL2Sqr(const float* a, const float* b, int n)
|
||||
{
|
||||
float s = 0.f;
|
||||
for( int i = 0; i < n; i++ )
|
||||
{
|
||||
float v = a[i] - b[i];
|
||||
s += v*v;
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
template<typename _Tp, typename _AccTp> static inline
|
||||
_AccTp normL1(const _Tp* a, const _Tp* b, int n)
|
||||
{
|
||||
_AccTp s = 0;
|
||||
int i= 0;
|
||||
#if CV_ENABLE_UNROLLED
|
||||
for(; i <= n - 4; i += 4 )
|
||||
{
|
||||
_AccTp v0 = _AccTp(a[i] - b[i]), v1 = _AccTp(a[i+1] - b[i+1]), v2 = _AccTp(a[i+2] - b[i+2]), v3 = _AccTp(a[i+3] - b[i+3]);
|
||||
s += std::abs(v0) + std::abs(v1) + std::abs(v2) + std::abs(v3);
|
||||
}
|
||||
#endif
|
||||
for( ; i < n; i++ )
|
||||
{
|
||||
_AccTp v = _AccTp(a[i] - b[i]);
|
||||
s += std::abs(v);
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
inline float normL1(const float* a, const float* b, int n)
|
||||
{
|
||||
float s = 0.f;
|
||||
for( int i = 0; i < n; i++ )
|
||||
{
|
||||
s += std::abs(a[i] - b[i]);
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
inline int normL1(const uchar* a, const uchar* b, int n)
|
||||
{
|
||||
int s = 0;
|
||||
for( int i = 0; i < n; i++ )
|
||||
{
|
||||
s += std::abs(a[i] - b[i]);
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
template<typename _Tp, typename _AccTp> static inline
|
||||
_AccTp normInf(const _Tp* a, const _Tp* b, int n)
|
||||
{
|
||||
_AccTp s = 0;
|
||||
for( int i = 0; i < n; i++ )
|
||||
{
|
||||
_AccTp v0 = a[i] - b[i];
|
||||
s = std::max(s, std::abs(v0));
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
/** @brief Computes the cube root of an argument.
|
||||
|
||||
The function cubeRoot computes \f$\sqrt[3]{\texttt{val}}\f$. Negative arguments are handled correctly.
|
||||
NaN and Inf are not handled. The accuracy approaches the maximum possible accuracy for
|
||||
single-precision data.
|
||||
@param val A function argument.
|
||||
*/
|
||||
CV_EXPORTS_W float cubeRoot(float val);
|
||||
|
||||
/** @brief Calculates the angle of a 2D vector in degrees.
|
||||
|
||||
The function fastAtan2 calculates the full-range angle of an input 2D vector. The angle is measured
|
||||
in degrees and varies from 0 to 360 degrees. The accuracy is about 0.3 degrees.
|
||||
@param x x-coordinate of the vector.
|
||||
@param y y-coordinate of the vector.
|
||||
*/
|
||||
CV_EXPORTS_W float fastAtan2(float y, float x);
|
||||
|
||||
/** proxy for hal::LU */
|
||||
CV_EXPORTS int LU(float* A, size_t astep, int m, float* b, size_t bstep, int n);
|
||||
/** proxy for hal::LU */
|
||||
CV_EXPORTS int LU(double* A, size_t astep, int m, double* b, size_t bstep, int n);
|
||||
/** proxy for hal::Cholesky */
|
||||
CV_EXPORTS bool Cholesky(float* A, size_t astep, int m, float* b, size_t bstep, int n);
|
||||
/** proxy for hal::Cholesky */
|
||||
CV_EXPORTS bool Cholesky(double* A, size_t astep, int m, double* b, size_t bstep, int n);
|
||||
|
||||
////////////////// forward declarations for important OpenCV types //////////////////
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
template<typename _Tp, int cn> class Vec;
|
||||
template<typename _Tp, int m, int n> class Matx;
|
||||
|
||||
template<typename _Tp> class Complex;
|
||||
template<typename _Tp> class Point_;
|
||||
template<typename _Tp> class Point3_;
|
||||
template<typename _Tp> class Size_;
|
||||
template<typename _Tp> class Rect_;
|
||||
template<typename _Tp> class Scalar_;
|
||||
|
||||
class CV_EXPORTS RotatedRect;
|
||||
class CV_EXPORTS Range;
|
||||
class CV_EXPORTS TermCriteria;
|
||||
class CV_EXPORTS KeyPoint;
|
||||
class CV_EXPORTS DMatch;
|
||||
class CV_EXPORTS RNG;
|
||||
|
||||
class CV_EXPORTS Mat;
|
||||
class CV_EXPORTS MatExpr;
|
||||
|
||||
class CV_EXPORTS UMat;
|
||||
|
||||
class CV_EXPORTS SparseMat;
|
||||
typedef Mat MatND;
|
||||
|
||||
template<typename _Tp> class Mat_;
|
||||
template<typename _Tp> class SparseMat_;
|
||||
|
||||
class CV_EXPORTS MatConstIterator;
|
||||
class CV_EXPORTS SparseMatIterator;
|
||||
class CV_EXPORTS SparseMatConstIterator;
|
||||
template<typename _Tp> class MatIterator_;
|
||||
template<typename _Tp> class MatConstIterator_;
|
||||
template<typename _Tp> class SparseMatIterator_;
|
||||
template<typename _Tp> class SparseMatConstIterator_;
|
||||
|
||||
namespace ogl
|
||||
{
|
||||
class CV_EXPORTS Buffer;
|
||||
class CV_EXPORTS Texture2D;
|
||||
class CV_EXPORTS Arrays;
|
||||
}
|
||||
|
||||
namespace cuda
|
||||
{
|
||||
class CV_EXPORTS GpuMat;
|
||||
class CV_EXPORTS HostMem;
|
||||
class CV_EXPORTS Stream;
|
||||
class CV_EXPORTS Event;
|
||||
}
|
||||
|
||||
namespace cudev
|
||||
{
|
||||
template <typename _Tp> class GpuMat_;
|
||||
}
|
||||
|
||||
namespace ipp
|
||||
{
|
||||
#if OPENCV_ABI_COMPATIBILITY > 300
|
||||
CV_EXPORTS unsigned long long getIppFeatures();
|
||||
#else
|
||||
CV_EXPORTS int getIppFeatures();
|
||||
#endif
|
||||
CV_EXPORTS void setIppStatus(int status, const char * const funcname = NULL, const char * const filename = NULL,
|
||||
int line = 0);
|
||||
CV_EXPORTS int getIppStatus();
|
||||
CV_EXPORTS String getIppErrorLocation();
|
||||
CV_EXPORTS_W bool useIPP();
|
||||
CV_EXPORTS_W void setUseIPP(bool flag);
|
||||
CV_EXPORTS_W String getIppVersion();
|
||||
|
||||
// IPP Not-Exact mode. This function may force use of IPP then both IPP and OpenCV provide proper results
|
||||
// but have internal accuracy differences which have to much direct or indirect impact on accuracy tests.
|
||||
CV_EXPORTS_W bool useIPP_NE();
|
||||
CV_EXPORTS_W void setUseIPP_NE(bool flag);
|
||||
|
||||
} // ipp
|
||||
|
||||
//! @endcond
|
||||
|
||||
//! @} core_utils
|
||||
|
||||
|
||||
|
||||
|
||||
} // cv
|
||||
|
||||
#include "opencv2/core/neon_utils.hpp"
|
||||
#include "opencv2/core/vsx_utils.hpp"
|
||||
#include "opencv2/core/check.hpp"
|
||||
|
||||
#endif //OPENCV_CORE_BASE_HPP
|
||||
@ -1,40 +0,0 @@
|
||||
// This file is part of OpenCV project.
|
||||
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
||||
// of this distribution and at http://opencv.org/license.html.
|
||||
//
|
||||
// Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved.
|
||||
|
||||
#ifndef OPENCV_CORE_BUFFER_POOL_HPP
|
||||
#define OPENCV_CORE_BUFFER_POOL_HPP
|
||||
|
||||
#ifdef _MSC_VER
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable: 4265)
|
||||
#endif
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
//! @addtogroup core
|
||||
//! @{
|
||||
|
||||
class BufferPoolController
|
||||
{
|
||||
protected:
|
||||
~BufferPoolController() { }
|
||||
public:
|
||||
virtual size_t getReservedSize() const = 0;
|
||||
virtual size_t getMaxReservedSize() const = 0;
|
||||
virtual void setMaxReservedSize(size_t size) = 0;
|
||||
virtual void freeAllReservedBuffers() = 0;
|
||||
};
|
||||
|
||||
//! @}
|
||||
|
||||
}
|
||||
|
||||
#ifdef _MSC_VER
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
|
||||
#endif // OPENCV_CORE_BUFFER_POOL_HPP
|
||||
@ -1,135 +0,0 @@
|
||||
// This file is part of OpenCV project.
|
||||
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
||||
// of this distribution and at http://opencv.org/license.html.
|
||||
|
||||
#ifndef OPENCV_CORE_CHECK_HPP
|
||||
#define OPENCV_CORE_CHECK_HPP
|
||||
|
||||
#include <opencv2/core/base.hpp>
|
||||
|
||||
namespace cv {
|
||||
|
||||
/** Returns string of cv::Mat depth value: CV_8U -> "CV_8U" or "<invalid depth>" */
|
||||
CV_EXPORTS const char* depthToString(int depth);
|
||||
|
||||
/** Returns string of cv::Mat depth value: CV_8UC3 -> "CV_8UC3" or "<invalid type>" */
|
||||
CV_EXPORTS const String typeToString(int type);
|
||||
|
||||
|
||||
//! @cond IGNORED
|
||||
namespace detail {
|
||||
|
||||
/** Returns string of cv::Mat depth value: CV_8U -> "CV_8U" or NULL */
|
||||
CV_EXPORTS const char* depthToString_(int depth);
|
||||
|
||||
/** Returns string of cv::Mat depth value: CV_8UC3 -> "CV_8UC3" or cv::String() */
|
||||
CV_EXPORTS const cv::String typeToString_(int type);
|
||||
|
||||
enum TestOp {
|
||||
TEST_CUSTOM = 0,
|
||||
TEST_EQ = 1,
|
||||
TEST_NE = 2,
|
||||
TEST_LE = 3,
|
||||
TEST_LT = 4,
|
||||
TEST_GE = 5,
|
||||
TEST_GT = 6,
|
||||
CV__LAST_TEST_OP
|
||||
};
|
||||
|
||||
struct CheckContext {
|
||||
const char* func;
|
||||
const char* file;
|
||||
int line;
|
||||
enum TestOp testOp;
|
||||
const char* message;
|
||||
const char* p1_str;
|
||||
const char* p2_str;
|
||||
};
|
||||
|
||||
#ifndef CV__CHECK_FILENAME
|
||||
# define CV__CHECK_FILENAME __FILE__
|
||||
#endif
|
||||
|
||||
#ifndef CV__CHECK_FUNCTION
|
||||
# if defined _MSC_VER
|
||||
# define CV__CHECK_FUNCTION __FUNCSIG__
|
||||
# elif defined __GNUC__
|
||||
# define CV__CHECK_FUNCTION __PRETTY_FUNCTION__
|
||||
# else
|
||||
# define CV__CHECK_FUNCTION "<unknown>"
|
||||
# endif
|
||||
#endif
|
||||
|
||||
#define CV__CHECK_LOCATION_VARNAME(id) CVAUX_CONCAT(CVAUX_CONCAT(__cv_check_, id), __LINE__)
|
||||
#define CV__DEFINE_CHECK_CONTEXT(id, message, testOp, p1_str, p2_str) \
|
||||
static const cv::detail::CheckContext CV__CHECK_LOCATION_VARNAME(id) = \
|
||||
{ CV__CHECK_FUNCTION, CV__CHECK_FILENAME, __LINE__, testOp, message, p1_str, p2_str }
|
||||
|
||||
CV_EXPORTS void CV_NORETURN check_failed_auto(const int v1, const int v2, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_auto(const float v1, const float v2, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_auto(const double v1, const double v2, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_MatDepth(const int v1, const int v2, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_MatType(const int v1, const int v2, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_MatChannels(const int v1, const int v2, const CheckContext& ctx);
|
||||
|
||||
CV_EXPORTS void CV_NORETURN check_failed_auto(const int v, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_auto(const float v, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_auto(const double v, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_MatDepth(const int v, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_MatType(const int v, const CheckContext& ctx);
|
||||
CV_EXPORTS void CV_NORETURN check_failed_MatChannels(const int v, const CheckContext& ctx);
|
||||
|
||||
|
||||
#define CV__TEST_EQ(v1, v2) ((v1) == (v2))
|
||||
#define CV__TEST_NE(v1, v2) ((v1) != (v2))
|
||||
#define CV__TEST_LE(v1, v2) ((v1) <= (v2))
|
||||
#define CV__TEST_LT(v1, v2) ((v1) < (v2))
|
||||
#define CV__TEST_GE(v1, v2) ((v1) >= (v2))
|
||||
#define CV__TEST_GT(v1, v2) ((v1) > (v2))
|
||||
|
||||
#define CV__CHECK(id, op, type, v1, v2, v1_str, v2_str, msg_str) do { \
|
||||
if(CV__TEST_##op((v1), (v2))) ; else { \
|
||||
CV__DEFINE_CHECK_CONTEXT(id, msg_str, cv::detail::TEST_ ## op, v1_str, v2_str); \
|
||||
cv::detail::check_failed_ ## type((v1), (v2), CV__CHECK_LOCATION_VARNAME(id)); \
|
||||
} \
|
||||
} while (0)
|
||||
|
||||
#define CV__CHECK_CUSTOM_TEST(id, type, v, test_expr, v_str, test_expr_str, msg_str) do { \
|
||||
if(!!(test_expr)) ; else { \
|
||||
CV__DEFINE_CHECK_CONTEXT(id, msg_str, cv::detail::TEST_CUSTOM, v_str, test_expr_str); \
|
||||
cv::detail::check_failed_ ## type((v), CV__CHECK_LOCATION_VARNAME(id)); \
|
||||
} \
|
||||
} while (0)
|
||||
|
||||
} // namespace
|
||||
//! @endcond
|
||||
|
||||
|
||||
/// Supported values of these types: int, float, double
|
||||
#define CV_CheckEQ(v1, v2, msg) CV__CHECK(_, EQ, auto, v1, v2, #v1, #v2, msg)
|
||||
#define CV_CheckNE(v1, v2, msg) CV__CHECK(_, NE, auto, v1, v2, #v1, #v2, msg)
|
||||
#define CV_CheckLE(v1, v2, msg) CV__CHECK(_, LE, auto, v1, v2, #v1, #v2, msg)
|
||||
#define CV_CheckLT(v1, v2, msg) CV__CHECK(_, LT, auto, v1, v2, #v1, #v2, msg)
|
||||
#define CV_CheckGE(v1, v2, msg) CV__CHECK(_, GE, auto, v1, v2, #v1, #v2, msg)
|
||||
#define CV_CheckGT(v1, v2, msg) CV__CHECK(_, GT, auto, v1, v2, #v1, #v2, msg)
|
||||
|
||||
/// Check with additional "decoding" of type values in error message
|
||||
#define CV_CheckTypeEQ(t1, t2, msg) CV__CHECK(_, EQ, MatType, t1, t2, #t1, #t2, msg)
|
||||
/// Check with additional "decoding" of depth values in error message
|
||||
#define CV_CheckDepthEQ(d1, d2, msg) CV__CHECK(_, EQ, MatDepth, d1, d2, #d1, #d2, msg)
|
||||
|
||||
#define CV_CheckChannelsEQ(c1, c2, msg) CV__CHECK(_, EQ, MatChannels, c1, c2, #c1, #c2, msg)
|
||||
|
||||
|
||||
/// Example: type == CV_8UC1 || type == CV_8UC3
|
||||
#define CV_CheckType(t, test_expr, msg) CV__CHECK_CUSTOM_TEST(_, MatType, t, (test_expr), #t, #test_expr, msg)
|
||||
|
||||
/// Example: depth == CV_32F || depth == CV_64F
|
||||
#define CV_CheckDepth(t, test_expr, msg) CV__CHECK_CUSTOM_TEST(_, MatDepth, t, (test_expr), #t, #test_expr, msg)
|
||||
|
||||
/// Some complex conditions: CV_Check(src2, src2.empty() || (src2.type() == src1.type() && src2.size() == src1.size()), "src2 should have same size/type as src1")
|
||||
// TODO define pretty-printers: #define CV_Check(v, test_expr, msg) CV__CHECK_CUSTOM_TEST(_, auto, v, (test_expr), #v, #test_expr, msg)
|
||||
|
||||
} // namespace
|
||||
|
||||
#endif // OPENCV_CORE_CHECK_HPP
|
||||
@ -1,48 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifdef __OPENCV_BUILD
|
||||
#error this is a compatibility header which should not be used inside the OpenCV library
|
||||
#endif
|
||||
|
||||
#include "opencv2/core.hpp"
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@ -1,631 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CORE_CUDAINL_HPP
|
||||
#define OPENCV_CORE_CUDAINL_HPP
|
||||
|
||||
#include "opencv2/core/cuda.hpp"
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda {
|
||||
|
||||
//===================================================================================
|
||||
// GpuMat
|
||||
//===================================================================================
|
||||
|
||||
inline
|
||||
GpuMat::GpuMat(Allocator* allocator_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
|
||||
{}
|
||||
|
||||
inline
|
||||
GpuMat::GpuMat(int rows_, int cols_, int type_, Allocator* allocator_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
|
||||
{
|
||||
if (rows_ > 0 && cols_ > 0)
|
||||
create(rows_, cols_, type_);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat::GpuMat(Size size_, int type_, Allocator* allocator_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
|
||||
{
|
||||
if (size_.height > 0 && size_.width > 0)
|
||||
create(size_.height, size_.width, type_);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat::GpuMat(int rows_, int cols_, int type_, Scalar s_, Allocator* allocator_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
|
||||
{
|
||||
if (rows_ > 0 && cols_ > 0)
|
||||
{
|
||||
create(rows_, cols_, type_);
|
||||
setTo(s_);
|
||||
}
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat::GpuMat(Size size_, int type_, Scalar s_, Allocator* allocator_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
|
||||
{
|
||||
if (size_.height > 0 && size_.width > 0)
|
||||
{
|
||||
create(size_.height, size_.width, type_);
|
||||
setTo(s_);
|
||||
}
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat::GpuMat(const GpuMat& m)
|
||||
: flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), allocator(m.allocator)
|
||||
{
|
||||
if (refcount)
|
||||
CV_XADD(refcount, 1);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat::GpuMat(InputArray arr, Allocator* allocator_) :
|
||||
flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
|
||||
{
|
||||
upload(arr);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat::~GpuMat()
|
||||
{
|
||||
release();
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat& GpuMat::operator =(const GpuMat& m)
|
||||
{
|
||||
if (this != &m)
|
||||
{
|
||||
GpuMat temp(m);
|
||||
swap(temp);
|
||||
}
|
||||
|
||||
return *this;
|
||||
}
|
||||
|
||||
inline
|
||||
void GpuMat::create(Size size_, int type_)
|
||||
{
|
||||
create(size_.height, size_.width, type_);
|
||||
}
|
||||
|
||||
inline
|
||||
void GpuMat::swap(GpuMat& b)
|
||||
{
|
||||
std::swap(flags, b.flags);
|
||||
std::swap(rows, b.rows);
|
||||
std::swap(cols, b.cols);
|
||||
std::swap(step, b.step);
|
||||
std::swap(data, b.data);
|
||||
std::swap(datastart, b.datastart);
|
||||
std::swap(dataend, b.dataend);
|
||||
std::swap(refcount, b.refcount);
|
||||
std::swap(allocator, b.allocator);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::clone() const
|
||||
{
|
||||
GpuMat m;
|
||||
copyTo(m);
|
||||
return m;
|
||||
}
|
||||
|
||||
inline
|
||||
void GpuMat::copyTo(OutputArray dst, InputArray mask) const
|
||||
{
|
||||
copyTo(dst, mask, Stream::Null());
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat& GpuMat::setTo(Scalar s)
|
||||
{
|
||||
return setTo(s, Stream::Null());
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat& GpuMat::setTo(Scalar s, InputArray mask)
|
||||
{
|
||||
return setTo(s, mask, Stream::Null());
|
||||
}
|
||||
|
||||
inline
|
||||
void GpuMat::convertTo(OutputArray dst, int rtype) const
|
||||
{
|
||||
convertTo(dst, rtype, Stream::Null());
|
||||
}
|
||||
|
||||
inline
|
||||
void GpuMat::convertTo(OutputArray dst, int rtype, double alpha, double beta) const
|
||||
{
|
||||
convertTo(dst, rtype, alpha, beta, Stream::Null());
|
||||
}
|
||||
|
||||
inline
|
||||
void GpuMat::convertTo(OutputArray dst, int rtype, double alpha, Stream& stream) const
|
||||
{
|
||||
convertTo(dst, rtype, alpha, 0.0, stream);
|
||||
}
|
||||
|
||||
inline
|
||||
void GpuMat::assignTo(GpuMat& m, int _type) const
|
||||
{
|
||||
if (_type < 0)
|
||||
m = *this;
|
||||
else
|
||||
convertTo(m, _type);
|
||||
}
|
||||
|
||||
inline
|
||||
uchar* GpuMat::ptr(int y)
|
||||
{
|
||||
CV_DbgAssert( (unsigned)y < (unsigned)rows );
|
||||
return data + step * y;
|
||||
}
|
||||
|
||||
inline
|
||||
const uchar* GpuMat::ptr(int y) const
|
||||
{
|
||||
CV_DbgAssert( (unsigned)y < (unsigned)rows );
|
||||
return data + step * y;
|
||||
}
|
||||
|
||||
template<typename _Tp> inline
|
||||
_Tp* GpuMat::ptr(int y)
|
||||
{
|
||||
return (_Tp*)ptr(y);
|
||||
}
|
||||
|
||||
template<typename _Tp> inline
|
||||
const _Tp* GpuMat::ptr(int y) const
|
||||
{
|
||||
return (const _Tp*)ptr(y);
|
||||
}
|
||||
|
||||
template <class T> inline
|
||||
GpuMat::operator PtrStepSz<T>() const
|
||||
{
|
||||
return PtrStepSz<T>(rows, cols, (T*)data, step);
|
||||
}
|
||||
|
||||
template <class T> inline
|
||||
GpuMat::operator PtrStep<T>() const
|
||||
{
|
||||
return PtrStep<T>((T*)data, step);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::row(int y) const
|
||||
{
|
||||
return GpuMat(*this, Range(y, y+1), Range::all());
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::col(int x) const
|
||||
{
|
||||
return GpuMat(*this, Range::all(), Range(x, x+1));
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::rowRange(int startrow, int endrow) const
|
||||
{
|
||||
return GpuMat(*this, Range(startrow, endrow), Range::all());
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::rowRange(Range r) const
|
||||
{
|
||||
return GpuMat(*this, r, Range::all());
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::colRange(int startcol, int endcol) const
|
||||
{
|
||||
return GpuMat(*this, Range::all(), Range(startcol, endcol));
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::colRange(Range r) const
|
||||
{
|
||||
return GpuMat(*this, Range::all(), r);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::operator ()(Range rowRange_, Range colRange_) const
|
||||
{
|
||||
return GpuMat(*this, rowRange_, colRange_);
|
||||
}
|
||||
|
||||
inline
|
||||
GpuMat GpuMat::operator ()(Rect roi) const
|
||||
{
|
||||
return GpuMat(*this, roi);
|
||||
}
|
||||
|
||||
inline
|
||||
bool GpuMat::isContinuous() const
|
||||
{
|
||||
return (flags & Mat::CONTINUOUS_FLAG) != 0;
|
||||
}
|
||||
|
||||
inline
|
||||
size_t GpuMat::elemSize() const
|
||||
{
|
||||
return CV_ELEM_SIZE(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
size_t GpuMat::elemSize1() const
|
||||
{
|
||||
return CV_ELEM_SIZE1(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
int GpuMat::type() const
|
||||
{
|
||||
return CV_MAT_TYPE(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
int GpuMat::depth() const
|
||||
{
|
||||
return CV_MAT_DEPTH(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
int GpuMat::channels() const
|
||||
{
|
||||
return CV_MAT_CN(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
size_t GpuMat::step1() const
|
||||
{
|
||||
return step / elemSize1();
|
||||
}
|
||||
|
||||
inline
|
||||
Size GpuMat::size() const
|
||||
{
|
||||
return Size(cols, rows);
|
||||
}
|
||||
|
||||
inline
|
||||
bool GpuMat::empty() const
|
||||
{
|
||||
return data == 0;
|
||||
}
|
||||
|
||||
static inline
|
||||
GpuMat createContinuous(int rows, int cols, int type)
|
||||
{
|
||||
GpuMat m;
|
||||
createContinuous(rows, cols, type, m);
|
||||
return m;
|
||||
}
|
||||
|
||||
static inline
|
||||
void createContinuous(Size size, int type, OutputArray arr)
|
||||
{
|
||||
createContinuous(size.height, size.width, type, arr);
|
||||
}
|
||||
|
||||
static inline
|
||||
GpuMat createContinuous(Size size, int type)
|
||||
{
|
||||
GpuMat m;
|
||||
createContinuous(size, type, m);
|
||||
return m;
|
||||
}
|
||||
|
||||
static inline
|
||||
void ensureSizeIsEnough(Size size, int type, OutputArray arr)
|
||||
{
|
||||
ensureSizeIsEnough(size.height, size.width, type, arr);
|
||||
}
|
||||
|
||||
static inline
|
||||
void swap(GpuMat& a, GpuMat& b)
|
||||
{
|
||||
a.swap(b);
|
||||
}
|
||||
|
||||
//===================================================================================
|
||||
// HostMem
|
||||
//===================================================================================
|
||||
|
||||
inline
|
||||
HostMem::HostMem(AllocType alloc_type_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
|
||||
{
|
||||
}
|
||||
|
||||
inline
|
||||
HostMem::HostMem(const HostMem& m)
|
||||
: flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), alloc_type(m.alloc_type)
|
||||
{
|
||||
if( refcount )
|
||||
CV_XADD(refcount, 1);
|
||||
}
|
||||
|
||||
inline
|
||||
HostMem::HostMem(int rows_, int cols_, int type_, AllocType alloc_type_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
|
||||
{
|
||||
if (rows_ > 0 && cols_ > 0)
|
||||
create(rows_, cols_, type_);
|
||||
}
|
||||
|
||||
inline
|
||||
HostMem::HostMem(Size size_, int type_, AllocType alloc_type_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
|
||||
{
|
||||
if (size_.height > 0 && size_.width > 0)
|
||||
create(size_.height, size_.width, type_);
|
||||
}
|
||||
|
||||
inline
|
||||
HostMem::HostMem(InputArray arr, AllocType alloc_type_)
|
||||
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
|
||||
{
|
||||
arr.getMat().copyTo(*this);
|
||||
}
|
||||
|
||||
inline
|
||||
HostMem::~HostMem()
|
||||
{
|
||||
release();
|
||||
}
|
||||
|
||||
inline
|
||||
HostMem& HostMem::operator =(const HostMem& m)
|
||||
{
|
||||
if (this != &m)
|
||||
{
|
||||
HostMem temp(m);
|
||||
swap(temp);
|
||||
}
|
||||
|
||||
return *this;
|
||||
}
|
||||
|
||||
inline
|
||||
void HostMem::swap(HostMem& b)
|
||||
{
|
||||
std::swap(flags, b.flags);
|
||||
std::swap(rows, b.rows);
|
||||
std::swap(cols, b.cols);
|
||||
std::swap(step, b.step);
|
||||
std::swap(data, b.data);
|
||||
std::swap(datastart, b.datastart);
|
||||
std::swap(dataend, b.dataend);
|
||||
std::swap(refcount, b.refcount);
|
||||
std::swap(alloc_type, b.alloc_type);
|
||||
}
|
||||
|
||||
inline
|
||||
HostMem HostMem::clone() const
|
||||
{
|
||||
HostMem m(size(), type(), alloc_type);
|
||||
createMatHeader().copyTo(m);
|
||||
return m;
|
||||
}
|
||||
|
||||
inline
|
||||
void HostMem::create(Size size_, int type_)
|
||||
{
|
||||
create(size_.height, size_.width, type_);
|
||||
}
|
||||
|
||||
inline
|
||||
Mat HostMem::createMatHeader() const
|
||||
{
|
||||
return Mat(size(), type(), data, step);
|
||||
}
|
||||
|
||||
inline
|
||||
bool HostMem::isContinuous() const
|
||||
{
|
||||
return (flags & Mat::CONTINUOUS_FLAG) != 0;
|
||||
}
|
||||
|
||||
inline
|
||||
size_t HostMem::elemSize() const
|
||||
{
|
||||
return CV_ELEM_SIZE(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
size_t HostMem::elemSize1() const
|
||||
{
|
||||
return CV_ELEM_SIZE1(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
int HostMem::type() const
|
||||
{
|
||||
return CV_MAT_TYPE(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
int HostMem::depth() const
|
||||
{
|
||||
return CV_MAT_DEPTH(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
int HostMem::channels() const
|
||||
{
|
||||
return CV_MAT_CN(flags);
|
||||
}
|
||||
|
||||
inline
|
||||
size_t HostMem::step1() const
|
||||
{
|
||||
return step / elemSize1();
|
||||
}
|
||||
|
||||
inline
|
||||
Size HostMem::size() const
|
||||
{
|
||||
return Size(cols, rows);
|
||||
}
|
||||
|
||||
inline
|
||||
bool HostMem::empty() const
|
||||
{
|
||||
return data == 0;
|
||||
}
|
||||
|
||||
static inline
|
||||
void swap(HostMem& a, HostMem& b)
|
||||
{
|
||||
a.swap(b);
|
||||
}
|
||||
|
||||
//===================================================================================
|
||||
// Stream
|
||||
//===================================================================================
|
||||
|
||||
inline
|
||||
Stream::Stream(const Ptr<Impl>& impl)
|
||||
: impl_(impl)
|
||||
{
|
||||
}
|
||||
|
||||
//===================================================================================
|
||||
// Event
|
||||
//===================================================================================
|
||||
|
||||
inline
|
||||
Event::Event(const Ptr<Impl>& impl)
|
||||
: impl_(impl)
|
||||
{
|
||||
}
|
||||
|
||||
//===================================================================================
|
||||
// Initialization & Info
|
||||
//===================================================================================
|
||||
|
||||
inline
|
||||
bool TargetArchs::has(int major, int minor)
|
||||
{
|
||||
return hasPtx(major, minor) || hasBin(major, minor);
|
||||
}
|
||||
|
||||
inline
|
||||
bool TargetArchs::hasEqualOrGreater(int major, int minor)
|
||||
{
|
||||
return hasEqualOrGreaterPtx(major, minor) || hasEqualOrGreaterBin(major, minor);
|
||||
}
|
||||
|
||||
inline
|
||||
DeviceInfo::DeviceInfo()
|
||||
{
|
||||
device_id_ = getDevice();
|
||||
}
|
||||
|
||||
inline
|
||||
DeviceInfo::DeviceInfo(int device_id)
|
||||
{
|
||||
CV_Assert( device_id >= 0 && device_id < getCudaEnabledDeviceCount() );
|
||||
device_id_ = device_id;
|
||||
}
|
||||
|
||||
inline
|
||||
int DeviceInfo::deviceID() const
|
||||
{
|
||||
return device_id_;
|
||||
}
|
||||
|
||||
inline
|
||||
size_t DeviceInfo::freeMemory() const
|
||||
{
|
||||
size_t _totalMemory = 0, _freeMemory = 0;
|
||||
queryMemory(_totalMemory, _freeMemory);
|
||||
return _freeMemory;
|
||||
}
|
||||
|
||||
inline
|
||||
size_t DeviceInfo::totalMemory() const
|
||||
{
|
||||
size_t _totalMemory = 0, _freeMemory = 0;
|
||||
queryMemory(_totalMemory, _freeMemory);
|
||||
return _totalMemory;
|
||||
}
|
||||
|
||||
inline
|
||||
bool DeviceInfo::supports(FeatureSet feature_set) const
|
||||
{
|
||||
int version = majorVersion() * 10 + minorVersion();
|
||||
return version >= feature_set;
|
||||
}
|
||||
|
||||
|
||||
}} // namespace cv { namespace cuda {
|
||||
|
||||
//===================================================================================
|
||||
// Mat
|
||||
//===================================================================================
|
||||
|
||||
namespace cv {
|
||||
|
||||
inline
|
||||
Mat::Mat(const cuda::GpuMat& m)
|
||||
: flags(0), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows)
|
||||
{
|
||||
m.download(*this);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CORE_CUDAINL_HPP
|
||||
@ -1,211 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_DEVICE_BLOCK_HPP
|
||||
#define OPENCV_CUDA_DEVICE_BLOCK_HPP
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
struct Block
|
||||
{
|
||||
static __device__ __forceinline__ unsigned int id()
|
||||
{
|
||||
return blockIdx.x;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int stride()
|
||||
{
|
||||
return blockDim.x * blockDim.y * blockDim.z;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ void sync()
|
||||
{
|
||||
__syncthreads();
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ int flattenedThreadId()
|
||||
{
|
||||
return threadIdx.z * blockDim.x * blockDim.y + threadIdx.y * blockDim.x + threadIdx.x;
|
||||
}
|
||||
|
||||
template<typename It, typename T>
|
||||
static __device__ __forceinline__ void fill(It beg, It end, const T& value)
|
||||
{
|
||||
int STRIDE = stride();
|
||||
It t = beg + flattenedThreadId();
|
||||
|
||||
for(; t < end; t += STRIDE)
|
||||
*t = value;
|
||||
}
|
||||
|
||||
template<typename OutIt, typename T>
|
||||
static __device__ __forceinline__ void yota(OutIt beg, OutIt end, T value)
|
||||
{
|
||||
int STRIDE = stride();
|
||||
int tid = flattenedThreadId();
|
||||
value += tid;
|
||||
|
||||
for(OutIt t = beg + tid; t < end; t += STRIDE, value += STRIDE)
|
||||
*t = value;
|
||||
}
|
||||
|
||||
template<typename InIt, typename OutIt>
|
||||
static __device__ __forceinline__ void copy(InIt beg, InIt end, OutIt out)
|
||||
{
|
||||
int STRIDE = stride();
|
||||
InIt t = beg + flattenedThreadId();
|
||||
OutIt o = out + (t - beg);
|
||||
|
||||
for(; t < end; t += STRIDE, o += STRIDE)
|
||||
*o = *t;
|
||||
}
|
||||
|
||||
template<typename InIt, typename OutIt, class UnOp>
|
||||
static __device__ __forceinline__ void transform(InIt beg, InIt end, OutIt out, UnOp op)
|
||||
{
|
||||
int STRIDE = stride();
|
||||
InIt t = beg + flattenedThreadId();
|
||||
OutIt o = out + (t - beg);
|
||||
|
||||
for(; t < end; t += STRIDE, o += STRIDE)
|
||||
*o = op(*t);
|
||||
}
|
||||
|
||||
template<typename InIt1, typename InIt2, typename OutIt, class BinOp>
|
||||
static __device__ __forceinline__ void transform(InIt1 beg1, InIt1 end1, InIt2 beg2, OutIt out, BinOp op)
|
||||
{
|
||||
int STRIDE = stride();
|
||||
InIt1 t1 = beg1 + flattenedThreadId();
|
||||
InIt2 t2 = beg2 + flattenedThreadId();
|
||||
OutIt o = out + (t1 - beg1);
|
||||
|
||||
for(; t1 < end1; t1 += STRIDE, t2 += STRIDE, o += STRIDE)
|
||||
*o = op(*t1, *t2);
|
||||
}
|
||||
|
||||
template<int CTA_SIZE, typename T, class BinOp>
|
||||
static __device__ __forceinline__ void reduce(volatile T* buffer, BinOp op)
|
||||
{
|
||||
int tid = flattenedThreadId();
|
||||
T val = buffer[tid];
|
||||
|
||||
if (CTA_SIZE >= 1024) { if (tid < 512) buffer[tid] = val = op(val, buffer[tid + 512]); __syncthreads(); }
|
||||
if (CTA_SIZE >= 512) { if (tid < 256) buffer[tid] = val = op(val, buffer[tid + 256]); __syncthreads(); }
|
||||
if (CTA_SIZE >= 256) { if (tid < 128) buffer[tid] = val = op(val, buffer[tid + 128]); __syncthreads(); }
|
||||
if (CTA_SIZE >= 128) { if (tid < 64) buffer[tid] = val = op(val, buffer[tid + 64]); __syncthreads(); }
|
||||
|
||||
if (tid < 32)
|
||||
{
|
||||
if (CTA_SIZE >= 64) { buffer[tid] = val = op(val, buffer[tid + 32]); }
|
||||
if (CTA_SIZE >= 32) { buffer[tid] = val = op(val, buffer[tid + 16]); }
|
||||
if (CTA_SIZE >= 16) { buffer[tid] = val = op(val, buffer[tid + 8]); }
|
||||
if (CTA_SIZE >= 8) { buffer[tid] = val = op(val, buffer[tid + 4]); }
|
||||
if (CTA_SIZE >= 4) { buffer[tid] = val = op(val, buffer[tid + 2]); }
|
||||
if (CTA_SIZE >= 2) { buffer[tid] = val = op(val, buffer[tid + 1]); }
|
||||
}
|
||||
}
|
||||
|
||||
template<int CTA_SIZE, typename T, class BinOp>
|
||||
static __device__ __forceinline__ T reduce(volatile T* buffer, T init, BinOp op)
|
||||
{
|
||||
int tid = flattenedThreadId();
|
||||
T val = buffer[tid] = init;
|
||||
__syncthreads();
|
||||
|
||||
if (CTA_SIZE >= 1024) { if (tid < 512) buffer[tid] = val = op(val, buffer[tid + 512]); __syncthreads(); }
|
||||
if (CTA_SIZE >= 512) { if (tid < 256) buffer[tid] = val = op(val, buffer[tid + 256]); __syncthreads(); }
|
||||
if (CTA_SIZE >= 256) { if (tid < 128) buffer[tid] = val = op(val, buffer[tid + 128]); __syncthreads(); }
|
||||
if (CTA_SIZE >= 128) { if (tid < 64) buffer[tid] = val = op(val, buffer[tid + 64]); __syncthreads(); }
|
||||
|
||||
if (tid < 32)
|
||||
{
|
||||
if (CTA_SIZE >= 64) { buffer[tid] = val = op(val, buffer[tid + 32]); }
|
||||
if (CTA_SIZE >= 32) { buffer[tid] = val = op(val, buffer[tid + 16]); }
|
||||
if (CTA_SIZE >= 16) { buffer[tid] = val = op(val, buffer[tid + 8]); }
|
||||
if (CTA_SIZE >= 8) { buffer[tid] = val = op(val, buffer[tid + 4]); }
|
||||
if (CTA_SIZE >= 4) { buffer[tid] = val = op(val, buffer[tid + 2]); }
|
||||
if (CTA_SIZE >= 2) { buffer[tid] = val = op(val, buffer[tid + 1]); }
|
||||
}
|
||||
__syncthreads();
|
||||
return buffer[0];
|
||||
}
|
||||
|
||||
template <typename T, class BinOp>
|
||||
static __device__ __forceinline__ void reduce_n(T* data, unsigned int n, BinOp op)
|
||||
{
|
||||
int ftid = flattenedThreadId();
|
||||
int sft = stride();
|
||||
|
||||
if (sft < n)
|
||||
{
|
||||
for (unsigned int i = sft + ftid; i < n; i += sft)
|
||||
data[ftid] = op(data[ftid], data[i]);
|
||||
|
||||
__syncthreads();
|
||||
|
||||
n = sft;
|
||||
}
|
||||
|
||||
while (n > 1)
|
||||
{
|
||||
unsigned int half = n/2;
|
||||
|
||||
if (ftid < half)
|
||||
data[ftid] = op(data[ftid], data[n - ftid - 1]);
|
||||
|
||||
__syncthreads();
|
||||
|
||||
n = n - half;
|
||||
}
|
||||
}
|
||||
};
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif /* OPENCV_CUDA_DEVICE_BLOCK_HPP */
|
||||
@ -1,722 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_BORDER_INTERPOLATE_HPP
|
||||
#define OPENCV_CUDA_BORDER_INTERPOLATE_HPP
|
||||
|
||||
#include "saturate_cast.hpp"
|
||||
#include "vec_traits.hpp"
|
||||
#include "vec_math.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
//////////////////////////////////////////////////////////////
|
||||
// BrdConstant
|
||||
|
||||
template <typename D> struct BrdRowConstant
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdRowConstant(int width_, const D& val_ = VecTraits<D>::all(0)) : width(width_), val(val_) {}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int x, const T* data) const
|
||||
{
|
||||
return x >= 0 ? saturate_cast<D>(data[x]) : val;
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int x, const T* data) const
|
||||
{
|
||||
return x < width ? saturate_cast<D>(data[x]) : val;
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int x, const T* data) const
|
||||
{
|
||||
return (x >= 0 && x < width) ? saturate_cast<D>(data[x]) : val;
|
||||
}
|
||||
|
||||
int width;
|
||||
D val;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdColConstant
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdColConstant(int height_, const D& val_ = VecTraits<D>::all(0)) : height(height_), val(val_) {}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int y, const T* data, size_t step) const
|
||||
{
|
||||
return y >= 0 ? saturate_cast<D>(*(const T*)((const char*)data + y * step)) : val;
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int y, const T* data, size_t step) const
|
||||
{
|
||||
return y < height ? saturate_cast<D>(*(const T*)((const char*)data + y * step)) : val;
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, const T* data, size_t step) const
|
||||
{
|
||||
return (y >= 0 && y < height) ? saturate_cast<D>(*(const T*)((const char*)data + y * step)) : val;
|
||||
}
|
||||
|
||||
int height;
|
||||
D val;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdConstant
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
__host__ __device__ __forceinline__ BrdConstant(int height_, int width_, const D& val_ = VecTraits<D>::all(0)) : height(height_), width(width_), val(val_)
|
||||
{
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, int x, const T* data, size_t step) const
|
||||
{
|
||||
return (x >= 0 && x < width && y >= 0 && y < height) ? saturate_cast<D>(((const T*)((const uchar*)data + y * step))[x]) : val;
|
||||
}
|
||||
|
||||
template <typename Ptr2D> __device__ __forceinline__ D at(typename Ptr2D::index_type y, typename Ptr2D::index_type x, const Ptr2D& src) const
|
||||
{
|
||||
return (x >= 0 && x < width && y >= 0 && y < height) ? saturate_cast<D>(src(y, x)) : val;
|
||||
}
|
||||
|
||||
int height;
|
||||
int width;
|
||||
D val;
|
||||
};
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// BrdReplicate
|
||||
|
||||
template <typename D> struct BrdRowReplicate
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdRowReplicate(int width) : last_col(width - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdRowReplicate(int width, U) : last_col(width - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return ::max(x, 0);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return ::min(x, last_col);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_low(idx_col_high(x));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_low(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_high(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col(x)]);
|
||||
}
|
||||
|
||||
int last_col;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdColReplicate
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdColReplicate(int height) : last_row(height - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdColReplicate(int height, U) : last_row(height - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return ::max(y, 0);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return ::min(y, last_row);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_low(idx_row_high(y));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const T*)((const char*)data + idx_row_low(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const T*)((const char*)data + idx_row_high(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const T*)((const char*)data + idx_row(y) * step));
|
||||
}
|
||||
|
||||
int last_row;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdReplicate
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
__host__ __device__ __forceinline__ BrdReplicate(int height, int width) : last_row(height - 1), last_col(width - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdReplicate(int height, int width, U) : last_row(height - 1), last_col(width - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return ::max(y, 0);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return ::min(y, last_row);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_low(idx_row_high(y));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return ::max(x, 0);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return ::min(x, last_col);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_low(idx_col_high(x));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, int x, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(((const T*)((const char*)data + idx_row(y) * step))[idx_col(x)]);
|
||||
}
|
||||
|
||||
template <typename Ptr2D> __device__ __forceinline__ D at(typename Ptr2D::index_type y, typename Ptr2D::index_type x, const Ptr2D& src) const
|
||||
{
|
||||
return saturate_cast<D>(src(idx_row(y), idx_col(x)));
|
||||
}
|
||||
|
||||
int last_row;
|
||||
int last_col;
|
||||
};
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// BrdReflect101
|
||||
|
||||
template <typename D> struct BrdRowReflect101
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdRowReflect101(int width) : last_col(width - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdRowReflect101(int width, U) : last_col(width - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return ::abs(x) % (last_col + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return ::abs(last_col - ::abs(last_col - x)) % (last_col + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_low(idx_col_high(x));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_low(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_high(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col(x)]);
|
||||
}
|
||||
|
||||
int last_col;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdColReflect101
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdColReflect101(int height) : last_row(height - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdColReflect101(int height, U) : last_row(height - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return ::abs(y) % (last_row + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return ::abs(last_row - ::abs(last_row - y)) % (last_row + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_low(idx_row_high(y));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row_low(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row_high(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row(y) * step));
|
||||
}
|
||||
|
||||
int last_row;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdReflect101
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
__host__ __device__ __forceinline__ BrdReflect101(int height, int width) : last_row(height - 1), last_col(width - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdReflect101(int height, int width, U) : last_row(height - 1), last_col(width - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return ::abs(y) % (last_row + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return ::abs(last_row - ::abs(last_row - y)) % (last_row + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_low(idx_row_high(y));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return ::abs(x) % (last_col + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return ::abs(last_col - ::abs(last_col - x)) % (last_col + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_low(idx_col_high(x));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, int x, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(((const T*)((const char*)data + idx_row(y) * step))[idx_col(x)]);
|
||||
}
|
||||
|
||||
template <typename Ptr2D> __device__ __forceinline__ D at(typename Ptr2D::index_type y, typename Ptr2D::index_type x, const Ptr2D& src) const
|
||||
{
|
||||
return saturate_cast<D>(src(idx_row(y), idx_col(x)));
|
||||
}
|
||||
|
||||
int last_row;
|
||||
int last_col;
|
||||
};
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// BrdReflect
|
||||
|
||||
template <typename D> struct BrdRowReflect
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdRowReflect(int width) : last_col(width - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdRowReflect(int width, U) : last_col(width - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return (::abs(x) - (x < 0)) % (last_col + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return ::abs(last_col - ::abs(last_col - x) + (x > last_col)) % (last_col + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_high(::abs(x) - (x < 0));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_low(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_high(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col(x)]);
|
||||
}
|
||||
|
||||
int last_col;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdColReflect
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdColReflect(int height) : last_row(height - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdColReflect(int height, U) : last_row(height - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return (::abs(y) - (y < 0)) % (last_row + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return ::abs(last_row - ::abs(last_row - y) + (y > last_row)) % (last_row + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_high(::abs(y) - (y < 0));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row_low(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row_high(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row(y) * step));
|
||||
}
|
||||
|
||||
int last_row;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdReflect
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
__host__ __device__ __forceinline__ BrdReflect(int height, int width) : last_row(height - 1), last_col(width - 1) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdReflect(int height, int width, U) : last_row(height - 1), last_col(width - 1) {}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return (::abs(y) - (y < 0)) % (last_row + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return /*::abs*/(last_row - ::abs(last_row - y) + (y > last_row)) /*% (last_row + 1)*/;
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_low(idx_row_high(y));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return (::abs(x) - (x < 0)) % (last_col + 1);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return (last_col - ::abs(last_col - x) + (x > last_col));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_low(idx_col_high(x));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, int x, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(((const T*)((const char*)data + idx_row(y) * step))[idx_col(x)]);
|
||||
}
|
||||
|
||||
template <typename Ptr2D> __device__ __forceinline__ D at(typename Ptr2D::index_type y, typename Ptr2D::index_type x, const Ptr2D& src) const
|
||||
{
|
||||
return saturate_cast<D>(src(idx_row(y), idx_col(x)));
|
||||
}
|
||||
|
||||
int last_row;
|
||||
int last_col;
|
||||
};
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// BrdWrap
|
||||
|
||||
template <typename D> struct BrdRowWrap
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdRowWrap(int width_) : width(width_) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdRowWrap(int width_, U) : width(width_) {}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return (x >= 0) * x + (x < 0) * (x - ((x - width + 1) / width) * width);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return (x < width) * x + (x >= width) * (x % width);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_high(idx_col_low(x));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_low(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col_high(x)]);
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int x, const T* data) const
|
||||
{
|
||||
return saturate_cast<D>(data[idx_col(x)]);
|
||||
}
|
||||
|
||||
int width;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdColWrap
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ BrdColWrap(int height_) : height(height_) {}
|
||||
template <typename U> __host__ __device__ __forceinline__ BrdColWrap(int height_, U) : height(height_) {}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return (y >= 0) * y + (y < 0) * (y - ((y - height + 1) / height) * height);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return (y < height) * y + (y >= height) * (y % height);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_high(idx_row_low(y));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_low(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row_low(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at_high(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row_high(y) * step));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(*(const D*)((const char*)data + idx_row(y) * step));
|
||||
}
|
||||
|
||||
int height;
|
||||
};
|
||||
|
||||
template <typename D> struct BrdWrap
|
||||
{
|
||||
typedef D result_type;
|
||||
|
||||
__host__ __device__ __forceinline__ BrdWrap(int height_, int width_) :
|
||||
height(height_), width(width_)
|
||||
{
|
||||
}
|
||||
template <typename U>
|
||||
__host__ __device__ __forceinline__ BrdWrap(int height_, int width_, U) :
|
||||
height(height_), width(width_)
|
||||
{
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_low(int y) const
|
||||
{
|
||||
return (y >= 0) ? y : (y - ((y - height + 1) / height) * height);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row_high(int y) const
|
||||
{
|
||||
return (y < height) ? y : (y % height);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_row(int y) const
|
||||
{
|
||||
return idx_row_high(idx_row_low(y));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_low(int x) const
|
||||
{
|
||||
return (x >= 0) ? x : (x - ((x - width + 1) / width) * width);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col_high(int x) const
|
||||
{
|
||||
return (x < width) ? x : (x % width);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ int idx_col(int x) const
|
||||
{
|
||||
return idx_col_high(idx_col_low(x));
|
||||
}
|
||||
|
||||
template <typename T> __device__ __forceinline__ D at(int y, int x, const T* data, size_t step) const
|
||||
{
|
||||
return saturate_cast<D>(((const T*)((const char*)data + idx_row(y) * step))[idx_col(x)]);
|
||||
}
|
||||
|
||||
template <typename Ptr2D> __device__ __forceinline__ D at(typename Ptr2D::index_type y, typename Ptr2D::index_type x, const Ptr2D& src) const
|
||||
{
|
||||
return saturate_cast<D>(src(idx_row(y), idx_col(x)));
|
||||
}
|
||||
|
||||
int height;
|
||||
int width;
|
||||
};
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// BorderReader
|
||||
|
||||
template <typename Ptr2D, typename B> struct BorderReader
|
||||
{
|
||||
typedef typename B::result_type elem_type;
|
||||
typedef typename Ptr2D::index_type index_type;
|
||||
|
||||
__host__ __device__ __forceinline__ BorderReader(const Ptr2D& ptr_, const B& b_) : ptr(ptr_), b(b_) {}
|
||||
|
||||
__device__ __forceinline__ elem_type operator ()(index_type y, index_type x) const
|
||||
{
|
||||
return b.at(y, x, ptr);
|
||||
}
|
||||
|
||||
Ptr2D ptr;
|
||||
B b;
|
||||
};
|
||||
|
||||
// under win32 there is some bug with templated types that passed as kernel parameters
|
||||
// with this specialization all works fine
|
||||
template <typename Ptr2D, typename D> struct BorderReader< Ptr2D, BrdConstant<D> >
|
||||
{
|
||||
typedef typename BrdConstant<D>::result_type elem_type;
|
||||
typedef typename Ptr2D::index_type index_type;
|
||||
|
||||
__host__ __device__ __forceinline__ BorderReader(const Ptr2D& src_, const BrdConstant<D>& b) :
|
||||
src(src_), height(b.height), width(b.width), val(b.val)
|
||||
{
|
||||
}
|
||||
|
||||
__device__ __forceinline__ D operator ()(index_type y, index_type x) const
|
||||
{
|
||||
return (x >= 0 && x < width && y >= 0 && y < height) ? saturate_cast<D>(src(y, x)) : val;
|
||||
}
|
||||
|
||||
Ptr2D src;
|
||||
int height;
|
||||
int width;
|
||||
D val;
|
||||
};
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_BORDER_INTERPOLATE_HPP
|
||||
@ -1,309 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_COLOR_HPP
|
||||
#define OPENCV_CUDA_COLOR_HPP
|
||||
|
||||
#include "detail/color_detail.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
// All OPENCV_CUDA_IMPLEMENT_*_TRAITS(ColorSpace1_to_ColorSpace2, ...) macros implements
|
||||
// template <typename T> class ColorSpace1_to_ColorSpace2_traits
|
||||
// {
|
||||
// typedef ... functor_type;
|
||||
// static __host__ __device__ functor_type create_functor();
|
||||
// };
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB_TRAITS(bgr_to_rgb, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB_TRAITS(bgr_to_bgra, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB_TRAITS(bgr_to_rgba, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB_TRAITS(bgra_to_bgr, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB_TRAITS(bgra_to_rgb, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB_TRAITS(bgra_to_rgba, 4, 4, 2)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(bgr_to_bgr555, 3, 0, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(bgr_to_bgr565, 3, 0, 6)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(rgb_to_bgr555, 3, 2, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(rgb_to_bgr565, 3, 2, 6)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(bgra_to_bgr555, 4, 0, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(bgra_to_bgr565, 4, 0, 6)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(rgba_to_bgr555, 4, 2, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS(rgba_to_bgr565, 4, 2, 6)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2RGB5x5_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr555_to_rgb, 3, 2, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr565_to_rgb, 3, 2, 6)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr555_to_bgr, 3, 0, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr565_to_bgr, 3, 0, 6)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr555_to_rgba, 4, 2, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr565_to_rgba, 4, 2, 6)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr555_to_bgra, 4, 0, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS(bgr565_to_bgra, 4, 0, 6)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB5x52RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_GRAY2RGB_TRAITS(gray_to_bgr, 3)
|
||||
OPENCV_CUDA_IMPLEMENT_GRAY2RGB_TRAITS(gray_to_bgra, 4)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_GRAY2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_GRAY2RGB5x5_TRAITS(gray_to_bgr555, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_GRAY2RGB5x5_TRAITS(gray_to_bgr565, 6)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_GRAY2RGB5x5_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52GRAY_TRAITS(bgr555_to_gray, 5)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB5x52GRAY_TRAITS(bgr565_to_gray, 6)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB5x52GRAY_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2GRAY_TRAITS(rgb_to_gray, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2GRAY_TRAITS(bgr_to_gray, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2GRAY_TRAITS(rgba_to_gray, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2GRAY_TRAITS(bgra_to_gray, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2GRAY_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(rgb_to_yuv, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(rgba_to_yuv, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(rgb_to_yuv4, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(rgba_to_yuv4, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(bgr_to_yuv, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(bgra_to_yuv, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(bgr_to_yuv4, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS(bgra_to_yuv4, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2YUV_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv_to_rgb, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv_to_rgba, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv4_to_rgb, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv4_to_rgba, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv_to_bgr, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv_to_bgra, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv4_to_bgr, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS(yuv4_to_bgra, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_YUV2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(rgb_to_YCrCb, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(rgba_to_YCrCb, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(rgb_to_YCrCb4, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(rgba_to_YCrCb4, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(bgr_to_YCrCb, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(bgra_to_YCrCb, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(bgr_to_YCrCb4, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS(bgra_to_YCrCb4, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2YCrCb_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb_to_rgb, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb_to_rgba, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb4_to_rgb, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb4_to_rgba, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb_to_bgr, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb_to_bgra, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb4_to_bgr, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS(YCrCb4_to_bgra, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_YCrCb2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(rgb_to_xyz, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(rgba_to_xyz, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(rgb_to_xyz4, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(rgba_to_xyz4, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(bgr_to_xyz, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(bgra_to_xyz, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(bgr_to_xyz4, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS(bgra_to_xyz4, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2XYZ_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz_to_rgb, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz4_to_rgb, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz_to_rgba, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz4_to_rgba, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz_to_bgr, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz4_to_bgr, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz_to_bgra, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS(xyz4_to_bgra, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_XYZ2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(rgb_to_hsv, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(rgba_to_hsv, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(rgb_to_hsv4, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(rgba_to_hsv4, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(bgr_to_hsv, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(bgra_to_hsv, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(bgr_to_hsv4, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS(bgra_to_hsv4, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2HSV_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv_to_rgb, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv_to_rgba, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv4_to_rgb, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv4_to_rgba, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv_to_bgr, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv_to_bgra, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv4_to_bgr, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS(hsv4_to_bgra, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_HSV2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(rgb_to_hls, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(rgba_to_hls, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(rgb_to_hls4, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(rgba_to_hls4, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(bgr_to_hls, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(bgra_to_hls, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(bgr_to_hls4, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS(bgra_to_hls4, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2HLS_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls_to_rgb, 3, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls_to_rgba, 3, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls4_to_rgb, 4, 3, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls4_to_rgba, 4, 4, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls_to_bgr, 3, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls_to_bgra, 3, 4, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls4_to_bgr, 4, 3, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS(hls4_to_bgra, 4, 4, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_HLS2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(rgb_to_lab, 3, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(rgba_to_lab, 4, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(rgb_to_lab4, 3, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(rgba_to_lab4, 4, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(bgr_to_lab, 3, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(bgra_to_lab, 4, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(bgr_to_lab4, 3, 4, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(bgra_to_lab4, 4, 4, true, 0)
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lrgb_to_lab, 3, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lrgba_to_lab, 4, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lrgb_to_lab4, 3, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lrgba_to_lab4, 4, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lbgr_to_lab, 3, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lbgra_to_lab, 4, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lbgr_to_lab4, 3, 4, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS(lbgra_to_lab4, 4, 4, false, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2Lab_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_rgb, 3, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_rgb, 4, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_rgba, 3, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_rgba, 4, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_bgr, 3, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_bgr, 4, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_bgra, 3, 4, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_bgra, 4, 4, true, 0)
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_lrgb, 3, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_lrgb, 4, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_lrgba, 3, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_lrgba, 4, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_lbgr, 3, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_lbgr, 4, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab_to_lbgra, 3, 4, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS(lab4_to_lbgra, 4, 4, false, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_Lab2RGB_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(rgb_to_luv, 3, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(rgba_to_luv, 4, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(rgb_to_luv4, 3, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(rgba_to_luv4, 4, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(bgr_to_luv, 3, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(bgra_to_luv, 4, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(bgr_to_luv4, 3, 4, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(bgra_to_luv4, 4, 4, true, 0)
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lrgb_to_luv, 3, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lrgba_to_luv, 4, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lrgb_to_luv4, 3, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lrgba_to_luv4, 4, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lbgr_to_luv, 3, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lbgra_to_luv, 4, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lbgr_to_luv4, 3, 4, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS(lbgra_to_luv4, 4, 4, false, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_RGB2Luv_TRAITS
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_rgb, 3, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_rgb, 4, 3, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_rgba, 3, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_rgba, 4, 4, true, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_bgr, 3, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_bgr, 4, 3, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_bgra, 3, 4, true, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_bgra, 4, 4, true, 0)
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_lrgb, 3, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_lrgb, 4, 3, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_lrgba, 3, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_lrgba, 4, 4, false, 2)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_lbgr, 3, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_lbgr, 4, 3, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv_to_lbgra, 3, 4, false, 0)
|
||||
OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_lbgra, 4, 4, false, 0)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_Luv2RGB_TRAITS
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_COLOR_HPP
|
||||
@ -1,109 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_COMMON_HPP
|
||||
#define OPENCV_CUDA_COMMON_HPP
|
||||
|
||||
#include <cuda_runtime.h>
|
||||
#include "opencv2/core/cuda_types.hpp"
|
||||
#include "opencv2/core/cvdef.h"
|
||||
#include "opencv2/core/base.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
#ifndef CV_PI_F
|
||||
#ifndef CV_PI
|
||||
#define CV_PI_F 3.14159265f
|
||||
#else
|
||||
#define CV_PI_F ((float)CV_PI)
|
||||
#endif
|
||||
#endif
|
||||
|
||||
namespace cv { namespace cuda {
|
||||
static inline void checkCudaError(cudaError_t err, const char* file, const int line, const char* func)
|
||||
{
|
||||
if (cudaSuccess != err)
|
||||
cv::error(cv::Error::GpuApiCallError, cudaGetErrorString(err), func, file, line);
|
||||
}
|
||||
}}
|
||||
|
||||
#ifndef cudaSafeCall
|
||||
#define cudaSafeCall(expr) cv::cuda::checkCudaError(expr, __FILE__, __LINE__, CV_Func)
|
||||
#endif
|
||||
|
||||
namespace cv { namespace cuda
|
||||
{
|
||||
template <typename T> static inline bool isAligned(const T* ptr, size_t size)
|
||||
{
|
||||
return reinterpret_cast<size_t>(ptr) % size == 0;
|
||||
}
|
||||
|
||||
static inline bool isAligned(size_t step, size_t size)
|
||||
{
|
||||
return step % size == 0;
|
||||
}
|
||||
}}
|
||||
|
||||
namespace cv { namespace cuda
|
||||
{
|
||||
namespace device
|
||||
{
|
||||
__host__ __device__ __forceinline__ int divUp(int total, int grain)
|
||||
{
|
||||
return (total + grain - 1) / grain;
|
||||
}
|
||||
|
||||
template<class T> inline void bindTexture(const textureReference* tex, const PtrStepSz<T>& img)
|
||||
{
|
||||
cudaChannelFormatDesc desc = cudaCreateChannelDesc<T>();
|
||||
cudaSafeCall( cudaBindTexture2D(0, tex, img.ptr(), &desc, img.cols, img.rows, img.step) );
|
||||
}
|
||||
}
|
||||
}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_COMMON_HPP
|
||||
@ -1,113 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_DATAMOV_UTILS_HPP
|
||||
#define OPENCV_CUDA_DATAMOV_UTILS_HPP
|
||||
|
||||
#include "common.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 200
|
||||
|
||||
// for Fermi memory space is detected automatically
|
||||
template <typename T> struct ForceGlob
|
||||
{
|
||||
__device__ __forceinline__ static void Load(const T* ptr, int offset, T& val) { val = ptr[offset]; }
|
||||
};
|
||||
|
||||
#else // __CUDA_ARCH__ >= 200
|
||||
|
||||
#if defined(_WIN64) || defined(__LP64__)
|
||||
// 64-bit register modifier for inlined asm
|
||||
#define OPENCV_CUDA_ASM_PTR "l"
|
||||
#else
|
||||
// 32-bit register modifier for inlined asm
|
||||
#define OPENCV_CUDA_ASM_PTR "r"
|
||||
#endif
|
||||
|
||||
template<class T> struct ForceGlob;
|
||||
|
||||
#define OPENCV_CUDA_DEFINE_FORCE_GLOB(base_type, ptx_type, reg_mod) \
|
||||
template <> struct ForceGlob<base_type> \
|
||||
{ \
|
||||
__device__ __forceinline__ static void Load(const base_type* ptr, int offset, base_type& val) \
|
||||
{ \
|
||||
asm("ld.global."#ptx_type" %0, [%1];" : "="#reg_mod(val) : OPENCV_CUDA_ASM_PTR(ptr + offset)); \
|
||||
} \
|
||||
};
|
||||
|
||||
#define OPENCV_CUDA_DEFINE_FORCE_GLOB_B(base_type, ptx_type) \
|
||||
template <> struct ForceGlob<base_type> \
|
||||
{ \
|
||||
__device__ __forceinline__ static void Load(const base_type* ptr, int offset, base_type& val) \
|
||||
{ \
|
||||
asm("ld.global."#ptx_type" %0, [%1];" : "=r"(*reinterpret_cast<uint*>(&val)) : OPENCV_CUDA_ASM_PTR(ptr + offset)); \
|
||||
} \
|
||||
};
|
||||
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB_B(uchar, u8)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB_B(schar, s8)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB_B(char, b8)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB (ushort, u16, h)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB (short, s16, h)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB (uint, u32, r)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB (int, s32, r)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB (float, f32, f)
|
||||
OPENCV_CUDA_DEFINE_FORCE_GLOB (double, f64, d)
|
||||
|
||||
#undef OPENCV_CUDA_DEFINE_FORCE_GLOB
|
||||
#undef OPENCV_CUDA_DEFINE_FORCE_GLOB_B
|
||||
#undef OPENCV_CUDA_ASM_PTR
|
||||
|
||||
#endif // __CUDA_ARCH__ >= 200
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_DATAMOV_UTILS_HPP
|
||||
File diff suppressed because one or more lines are too long
@ -1,365 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_REDUCE_DETAIL_HPP
|
||||
#define OPENCV_CUDA_REDUCE_DETAIL_HPP
|
||||
|
||||
#include <thrust/tuple.h>
|
||||
#include "../warp.hpp"
|
||||
#include "../warp_shuffle.hpp"
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
namespace reduce_detail
|
||||
{
|
||||
template <typename T> struct GetType;
|
||||
template <typename T> struct GetType<T*>
|
||||
{
|
||||
typedef T type;
|
||||
};
|
||||
template <typename T> struct GetType<volatile T*>
|
||||
{
|
||||
typedef T type;
|
||||
};
|
||||
template <typename T> struct GetType<T&>
|
||||
{
|
||||
typedef T type;
|
||||
};
|
||||
|
||||
template <unsigned int I, unsigned int N>
|
||||
struct For
|
||||
{
|
||||
template <class PointerTuple, class ValTuple>
|
||||
static __device__ void loadToSmem(const PointerTuple& smem, const ValTuple& val, unsigned int tid)
|
||||
{
|
||||
thrust::get<I>(smem)[tid] = thrust::get<I>(val);
|
||||
|
||||
For<I + 1, N>::loadToSmem(smem, val, tid);
|
||||
}
|
||||
template <class PointerTuple, class ValTuple>
|
||||
static __device__ void loadFromSmem(const PointerTuple& smem, const ValTuple& val, unsigned int tid)
|
||||
{
|
||||
thrust::get<I>(val) = thrust::get<I>(smem)[tid];
|
||||
|
||||
For<I + 1, N>::loadFromSmem(smem, val, tid);
|
||||
}
|
||||
|
||||
template <class PointerTuple, class ValTuple, class OpTuple>
|
||||
static __device__ void merge(const PointerTuple& smem, const ValTuple& val, unsigned int tid, unsigned int delta, const OpTuple& op)
|
||||
{
|
||||
typename GetType<typename thrust::tuple_element<I, PointerTuple>::type>::type reg = thrust::get<I>(smem)[tid + delta];
|
||||
thrust::get<I>(smem)[tid] = thrust::get<I>(val) = thrust::get<I>(op)(thrust::get<I>(val), reg);
|
||||
|
||||
For<I + 1, N>::merge(smem, val, tid, delta, op);
|
||||
}
|
||||
template <class ValTuple, class OpTuple>
|
||||
static __device__ void mergeShfl(const ValTuple& val, unsigned int delta, unsigned int width, const OpTuple& op)
|
||||
{
|
||||
typename GetType<typename thrust::tuple_element<I, ValTuple>::type>::type reg = shfl_down(thrust::get<I>(val), delta, width);
|
||||
thrust::get<I>(val) = thrust::get<I>(op)(thrust::get<I>(val), reg);
|
||||
|
||||
For<I + 1, N>::mergeShfl(val, delta, width, op);
|
||||
}
|
||||
};
|
||||
template <unsigned int N>
|
||||
struct For<N, N>
|
||||
{
|
||||
template <class PointerTuple, class ValTuple>
|
||||
static __device__ void loadToSmem(const PointerTuple&, const ValTuple&, unsigned int)
|
||||
{
|
||||
}
|
||||
template <class PointerTuple, class ValTuple>
|
||||
static __device__ void loadFromSmem(const PointerTuple&, const ValTuple&, unsigned int)
|
||||
{
|
||||
}
|
||||
|
||||
template <class PointerTuple, class ValTuple, class OpTuple>
|
||||
static __device__ void merge(const PointerTuple&, const ValTuple&, unsigned int, unsigned int, const OpTuple&)
|
||||
{
|
||||
}
|
||||
template <class ValTuple, class OpTuple>
|
||||
static __device__ void mergeShfl(const ValTuple&, unsigned int, unsigned int, const OpTuple&)
|
||||
{
|
||||
}
|
||||
};
|
||||
|
||||
template <typename T>
|
||||
__device__ __forceinline__ void loadToSmem(volatile T* smem, T& val, unsigned int tid)
|
||||
{
|
||||
smem[tid] = val;
|
||||
}
|
||||
template <typename T>
|
||||
__device__ __forceinline__ void loadFromSmem(volatile T* smem, T& val, unsigned int tid)
|
||||
{
|
||||
val = smem[tid];
|
||||
}
|
||||
template <typename P0, typename P1, typename P2, typename P3, typename P4, typename P5, typename P6, typename P7, typename P8, typename P9,
|
||||
typename R0, typename R1, typename R2, typename R3, typename R4, typename R5, typename R6, typename R7, typename R8, typename R9>
|
||||
__device__ __forceinline__ void loadToSmem(const thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9>& smem,
|
||||
const thrust::tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>& val,
|
||||
unsigned int tid)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9> >::value>::loadToSmem(smem, val, tid);
|
||||
}
|
||||
template <typename P0, typename P1, typename P2, typename P3, typename P4, typename P5, typename P6, typename P7, typename P8, typename P9,
|
||||
typename R0, typename R1, typename R2, typename R3, typename R4, typename R5, typename R6, typename R7, typename R8, typename R9>
|
||||
__device__ __forceinline__ void loadFromSmem(const thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9>& smem,
|
||||
const thrust::tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>& val,
|
||||
unsigned int tid)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9> >::value>::loadFromSmem(smem, val, tid);
|
||||
}
|
||||
|
||||
template <typename T, class Op>
|
||||
__device__ __forceinline__ void merge(volatile T* smem, T& val, unsigned int tid, unsigned int delta, const Op& op)
|
||||
{
|
||||
T reg = smem[tid + delta];
|
||||
smem[tid] = val = op(val, reg);
|
||||
}
|
||||
template <typename T, class Op>
|
||||
__device__ __forceinline__ void mergeShfl(T& val, unsigned int delta, unsigned int width, const Op& op)
|
||||
{
|
||||
T reg = shfl_down(val, delta, width);
|
||||
val = op(val, reg);
|
||||
}
|
||||
template <typename P0, typename P1, typename P2, typename P3, typename P4, typename P5, typename P6, typename P7, typename P8, typename P9,
|
||||
typename R0, typename R1, typename R2, typename R3, typename R4, typename R5, typename R6, typename R7, typename R8, typename R9,
|
||||
class Op0, class Op1, class Op2, class Op3, class Op4, class Op5, class Op6, class Op7, class Op8, class Op9>
|
||||
__device__ __forceinline__ void merge(const thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9>& smem,
|
||||
const thrust::tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>& val,
|
||||
unsigned int tid,
|
||||
unsigned int delta,
|
||||
const thrust::tuple<Op0, Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, Op9>& op)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9> >::value>::merge(smem, val, tid, delta, op);
|
||||
}
|
||||
template <typename R0, typename R1, typename R2, typename R3, typename R4, typename R5, typename R6, typename R7, typename R8, typename R9,
|
||||
class Op0, class Op1, class Op2, class Op3, class Op4, class Op5, class Op6, class Op7, class Op8, class Op9>
|
||||
__device__ __forceinline__ void mergeShfl(const thrust::tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>& val,
|
||||
unsigned int delta,
|
||||
unsigned int width,
|
||||
const thrust::tuple<Op0, Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, Op9>& op)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9> >::value>::mergeShfl(val, delta, width, op);
|
||||
}
|
||||
|
||||
template <unsigned int N> struct Generic
|
||||
{
|
||||
template <typename Pointer, typename Reference, class Op>
|
||||
static __device__ void reduce(Pointer smem, Reference val, unsigned int tid, Op op)
|
||||
{
|
||||
loadToSmem(smem, val, tid);
|
||||
if (N >= 32)
|
||||
__syncthreads();
|
||||
|
||||
if (N >= 2048)
|
||||
{
|
||||
if (tid < 1024)
|
||||
merge(smem, val, tid, 1024, op);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 1024)
|
||||
{
|
||||
if (tid < 512)
|
||||
merge(smem, val, tid, 512, op);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 512)
|
||||
{
|
||||
if (tid < 256)
|
||||
merge(smem, val, tid, 256, op);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 256)
|
||||
{
|
||||
if (tid < 128)
|
||||
merge(smem, val, tid, 128, op);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 128)
|
||||
{
|
||||
if (tid < 64)
|
||||
merge(smem, val, tid, 64, op);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 64)
|
||||
{
|
||||
if (tid < 32)
|
||||
merge(smem, val, tid, 32, op);
|
||||
}
|
||||
|
||||
if (tid < 16)
|
||||
{
|
||||
merge(smem, val, tid, 16, op);
|
||||
merge(smem, val, tid, 8, op);
|
||||
merge(smem, val, tid, 4, op);
|
||||
merge(smem, val, tid, 2, op);
|
||||
merge(smem, val, tid, 1, op);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned int I, typename Pointer, typename Reference, class Op>
|
||||
struct Unroll
|
||||
{
|
||||
static __device__ void loopShfl(Reference val, Op op, unsigned int N)
|
||||
{
|
||||
mergeShfl(val, I, N, op);
|
||||
Unroll<I / 2, Pointer, Reference, Op>::loopShfl(val, op, N);
|
||||
}
|
||||
static __device__ void loop(Pointer smem, Reference val, unsigned int tid, Op op)
|
||||
{
|
||||
merge(smem, val, tid, I, op);
|
||||
Unroll<I / 2, Pointer, Reference, Op>::loop(smem, val, tid, op);
|
||||
}
|
||||
};
|
||||
template <typename Pointer, typename Reference, class Op>
|
||||
struct Unroll<0, Pointer, Reference, Op>
|
||||
{
|
||||
static __device__ void loopShfl(Reference, Op, unsigned int)
|
||||
{
|
||||
}
|
||||
static __device__ void loop(Pointer, Reference, unsigned int, Op)
|
||||
{
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned int N> struct WarpOptimized
|
||||
{
|
||||
template <typename Pointer, typename Reference, class Op>
|
||||
static __device__ void reduce(Pointer smem, Reference val, unsigned int tid, Op op)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
|
||||
(void) smem;
|
||||
(void) tid;
|
||||
|
||||
Unroll<N / 2, Pointer, Reference, Op>::loopShfl(val, op, N);
|
||||
#else
|
||||
loadToSmem(smem, val, tid);
|
||||
|
||||
if (tid < N / 2)
|
||||
Unroll<N / 2, Pointer, Reference, Op>::loop(smem, val, tid, op);
|
||||
#endif
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned int N> struct GenericOptimized32
|
||||
{
|
||||
enum { M = N / 32 };
|
||||
|
||||
template <typename Pointer, typename Reference, class Op>
|
||||
static __device__ void reduce(Pointer smem, Reference val, unsigned int tid, Op op)
|
||||
{
|
||||
const unsigned int laneId = Warp::laneId();
|
||||
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
|
||||
Unroll<16, Pointer, Reference, Op>::loopShfl(val, op, warpSize);
|
||||
|
||||
if (laneId == 0)
|
||||
loadToSmem(smem, val, tid / 32);
|
||||
#else
|
||||
loadToSmem(smem, val, tid);
|
||||
|
||||
if (laneId < 16)
|
||||
Unroll<16, Pointer, Reference, Op>::loop(smem, val, tid, op);
|
||||
|
||||
__syncthreads();
|
||||
|
||||
if (laneId == 0)
|
||||
loadToSmem(smem, val, tid / 32);
|
||||
#endif
|
||||
|
||||
__syncthreads();
|
||||
|
||||
loadFromSmem(smem, val, tid);
|
||||
|
||||
if (tid < 32)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
|
||||
Unroll<M / 2, Pointer, Reference, Op>::loopShfl(val, op, M);
|
||||
#else
|
||||
Unroll<M / 2, Pointer, Reference, Op>::loop(smem, val, tid, op);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
template <bool val, class T1, class T2> struct StaticIf;
|
||||
template <class T1, class T2> struct StaticIf<true, T1, T2>
|
||||
{
|
||||
typedef T1 type;
|
||||
};
|
||||
template <class T1, class T2> struct StaticIf<false, T1, T2>
|
||||
{
|
||||
typedef T2 type;
|
||||
};
|
||||
|
||||
template <unsigned int N> struct IsPowerOf2
|
||||
{
|
||||
enum { value = ((N != 0) && !(N & (N - 1))) };
|
||||
};
|
||||
|
||||
template <unsigned int N> struct Dispatcher
|
||||
{
|
||||
typedef typename StaticIf<
|
||||
(N <= 32) && IsPowerOf2<N>::value,
|
||||
WarpOptimized<N>,
|
||||
typename StaticIf<
|
||||
(N <= 1024) && IsPowerOf2<N>::value,
|
||||
GenericOptimized32<N>,
|
||||
Generic<N>
|
||||
>::type
|
||||
>::type reductor;
|
||||
};
|
||||
}
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_REDUCE_DETAIL_HPP
|
||||
@ -1,502 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_PRED_VAL_REDUCE_DETAIL_HPP
|
||||
#define OPENCV_CUDA_PRED_VAL_REDUCE_DETAIL_HPP
|
||||
|
||||
#include <thrust/tuple.h>
|
||||
#include "../warp.hpp"
|
||||
#include "../warp_shuffle.hpp"
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
namespace reduce_key_val_detail
|
||||
{
|
||||
template <typename T> struct GetType;
|
||||
template <typename T> struct GetType<T*>
|
||||
{
|
||||
typedef T type;
|
||||
};
|
||||
template <typename T> struct GetType<volatile T*>
|
||||
{
|
||||
typedef T type;
|
||||
};
|
||||
template <typename T> struct GetType<T&>
|
||||
{
|
||||
typedef T type;
|
||||
};
|
||||
|
||||
template <unsigned int I, unsigned int N>
|
||||
struct For
|
||||
{
|
||||
template <class PointerTuple, class ReferenceTuple>
|
||||
static __device__ void loadToSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
|
||||
{
|
||||
thrust::get<I>(smem)[tid] = thrust::get<I>(data);
|
||||
|
||||
For<I + 1, N>::loadToSmem(smem, data, tid);
|
||||
}
|
||||
template <class PointerTuple, class ReferenceTuple>
|
||||
static __device__ void loadFromSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
|
||||
{
|
||||
thrust::get<I>(data) = thrust::get<I>(smem)[tid];
|
||||
|
||||
For<I + 1, N>::loadFromSmem(smem, data, tid);
|
||||
}
|
||||
|
||||
template <class ReferenceTuple>
|
||||
static __device__ void copyShfl(const ReferenceTuple& val, unsigned int delta, int width)
|
||||
{
|
||||
thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);
|
||||
|
||||
For<I + 1, N>::copyShfl(val, delta, width);
|
||||
}
|
||||
template <class PointerTuple, class ReferenceTuple>
|
||||
static __device__ void copy(const PointerTuple& svals, const ReferenceTuple& val, unsigned int tid, unsigned int delta)
|
||||
{
|
||||
thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];
|
||||
|
||||
For<I + 1, N>::copy(svals, val, tid, delta);
|
||||
}
|
||||
|
||||
template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
|
||||
static __device__ void mergeShfl(const KeyReferenceTuple& key, const ValReferenceTuple& val, const CmpTuple& cmp, unsigned int delta, int width)
|
||||
{
|
||||
typename GetType<typename thrust::tuple_element<I, KeyReferenceTuple>::type>::type reg = shfl_down(thrust::get<I>(key), delta, width);
|
||||
|
||||
if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
|
||||
{
|
||||
thrust::get<I>(key) = reg;
|
||||
thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);
|
||||
}
|
||||
|
||||
For<I + 1, N>::mergeShfl(key, val, cmp, delta, width);
|
||||
}
|
||||
template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
|
||||
static __device__ void merge(const KeyPointerTuple& skeys, const KeyReferenceTuple& key,
|
||||
const ValPointerTuple& svals, const ValReferenceTuple& val,
|
||||
const CmpTuple& cmp,
|
||||
unsigned int tid, unsigned int delta)
|
||||
{
|
||||
typename GetType<typename thrust::tuple_element<I, KeyPointerTuple>::type>::type reg = thrust::get<I>(skeys)[tid + delta];
|
||||
|
||||
if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
|
||||
{
|
||||
thrust::get<I>(skeys)[tid] = thrust::get<I>(key) = reg;
|
||||
thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];
|
||||
}
|
||||
|
||||
For<I + 1, N>::merge(skeys, key, svals, val, cmp, tid, delta);
|
||||
}
|
||||
};
|
||||
template <unsigned int N>
|
||||
struct For<N, N>
|
||||
{
|
||||
template <class PointerTuple, class ReferenceTuple>
|
||||
static __device__ void loadToSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
|
||||
{
|
||||
}
|
||||
template <class PointerTuple, class ReferenceTuple>
|
||||
static __device__ void loadFromSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
|
||||
{
|
||||
}
|
||||
|
||||
template <class ReferenceTuple>
|
||||
static __device__ void copyShfl(const ReferenceTuple&, unsigned int, int)
|
||||
{
|
||||
}
|
||||
template <class PointerTuple, class ReferenceTuple>
|
||||
static __device__ void copy(const PointerTuple&, const ReferenceTuple&, unsigned int, unsigned int)
|
||||
{
|
||||
}
|
||||
|
||||
template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
|
||||
static __device__ void mergeShfl(const KeyReferenceTuple&, const ValReferenceTuple&, const CmpTuple&, unsigned int, int)
|
||||
{
|
||||
}
|
||||
template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
|
||||
static __device__ void merge(const KeyPointerTuple&, const KeyReferenceTuple&,
|
||||
const ValPointerTuple&, const ValReferenceTuple&,
|
||||
const CmpTuple&,
|
||||
unsigned int, unsigned int)
|
||||
{
|
||||
}
|
||||
};
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// loadToSmem
|
||||
|
||||
template <typename T>
|
||||
__device__ __forceinline__ void loadToSmem(volatile T* smem, T& data, unsigned int tid)
|
||||
{
|
||||
smem[tid] = data;
|
||||
}
|
||||
template <typename T>
|
||||
__device__ __forceinline__ void loadFromSmem(volatile T* smem, T& data, unsigned int tid)
|
||||
{
|
||||
data = smem[tid];
|
||||
}
|
||||
template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
|
||||
__device__ __forceinline__ void loadToSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
|
||||
unsigned int tid)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadToSmem(smem, data, tid);
|
||||
}
|
||||
template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
|
||||
__device__ __forceinline__ void loadFromSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
|
||||
unsigned int tid)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadFromSmem(smem, data, tid);
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// copyVals
|
||||
|
||||
template <typename V>
|
||||
__device__ __forceinline__ void copyValsShfl(V& val, unsigned int delta, int width)
|
||||
{
|
||||
val = shfl_down(val, delta, width);
|
||||
}
|
||||
template <typename V>
|
||||
__device__ __forceinline__ void copyVals(volatile V* svals, V& val, unsigned int tid, unsigned int delta)
|
||||
{
|
||||
svals[tid] = val = svals[tid + delta];
|
||||
}
|
||||
template <typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
|
||||
__device__ __forceinline__ void copyValsShfl(const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
unsigned int delta,
|
||||
int width)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9> >::value>::copyShfl(val, delta, width);
|
||||
}
|
||||
template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
|
||||
__device__ __forceinline__ void copyVals(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
unsigned int tid, unsigned int delta)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::copy(svals, val, tid, delta);
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// merge
|
||||
|
||||
template <typename K, typename V, class Cmp>
|
||||
__device__ __forceinline__ void mergeShfl(K& key, V& val, const Cmp& cmp, unsigned int delta, int width)
|
||||
{
|
||||
K reg = shfl_down(key, delta, width);
|
||||
|
||||
if (cmp(reg, key))
|
||||
{
|
||||
key = reg;
|
||||
copyValsShfl(val, delta, width);
|
||||
}
|
||||
}
|
||||
template <typename K, typename V, class Cmp>
|
||||
__device__ __forceinline__ void merge(volatile K* skeys, K& key, volatile V* svals, V& val, const Cmp& cmp, unsigned int tid, unsigned int delta)
|
||||
{
|
||||
K reg = skeys[tid + delta];
|
||||
|
||||
if (cmp(reg, key))
|
||||
{
|
||||
skeys[tid] = key = reg;
|
||||
copyVals(svals, val, tid, delta);
|
||||
}
|
||||
}
|
||||
template <typename K,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
|
||||
class Cmp>
|
||||
__device__ __forceinline__ void mergeShfl(K& key,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
const Cmp& cmp,
|
||||
unsigned int delta, int width)
|
||||
{
|
||||
K reg = shfl_down(key, delta, width);
|
||||
|
||||
if (cmp(reg, key))
|
||||
{
|
||||
key = reg;
|
||||
copyValsShfl(val, delta, width);
|
||||
}
|
||||
}
|
||||
template <typename K,
|
||||
typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
|
||||
class Cmp>
|
||||
__device__ __forceinline__ void merge(volatile K* skeys, K& key,
|
||||
const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
const Cmp& cmp, unsigned int tid, unsigned int delta)
|
||||
{
|
||||
K reg = skeys[tid + delta];
|
||||
|
||||
if (cmp(reg, key))
|
||||
{
|
||||
skeys[tid] = key = reg;
|
||||
copyVals(svals, val, tid, delta);
|
||||
}
|
||||
}
|
||||
template <typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
|
||||
class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
|
||||
__device__ __forceinline__ void mergeShfl(const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
|
||||
unsigned int delta, int width)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9> >::value>::mergeShfl(key, val, cmp, delta, width);
|
||||
}
|
||||
template <typename KP0, typename KP1, typename KP2, typename KP3, typename KP4, typename KP5, typename KP6, typename KP7, typename KP8, typename KP9,
|
||||
typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
|
||||
typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
|
||||
class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
|
||||
__device__ __forceinline__ void merge(const thrust::tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>& skeys,
|
||||
const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
|
||||
const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
|
||||
unsigned int tid, unsigned int delta)
|
||||
{
|
||||
For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::merge(skeys, key, svals, val, cmp, tid, delta);
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// Generic
|
||||
|
||||
template <unsigned int N> struct Generic
|
||||
{
|
||||
template <class KP, class KR, class VP, class VR, class Cmp>
|
||||
static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
|
||||
{
|
||||
loadToSmem(skeys, key, tid);
|
||||
loadValsToSmem(svals, val, tid);
|
||||
if (N >= 32)
|
||||
__syncthreads();
|
||||
|
||||
if (N >= 2048)
|
||||
{
|
||||
if (tid < 1024)
|
||||
merge(skeys, key, svals, val, cmp, tid, 1024);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 1024)
|
||||
{
|
||||
if (tid < 512)
|
||||
merge(skeys, key, svals, val, cmp, tid, 512);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 512)
|
||||
{
|
||||
if (tid < 256)
|
||||
merge(skeys, key, svals, val, cmp, tid, 256);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 256)
|
||||
{
|
||||
if (tid < 128)
|
||||
merge(skeys, key, svals, val, cmp, tid, 128);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 128)
|
||||
{
|
||||
if (tid < 64)
|
||||
merge(skeys, key, svals, val, cmp, tid, 64);
|
||||
|
||||
__syncthreads();
|
||||
}
|
||||
if (N >= 64)
|
||||
{
|
||||
if (tid < 32)
|
||||
merge(skeys, key, svals, val, cmp, tid, 32);
|
||||
}
|
||||
|
||||
if (tid < 16)
|
||||
{
|
||||
merge(skeys, key, svals, val, cmp, tid, 16);
|
||||
merge(skeys, key, svals, val, cmp, tid, 8);
|
||||
merge(skeys, key, svals, val, cmp, tid, 4);
|
||||
merge(skeys, key, svals, val, cmp, tid, 2);
|
||||
merge(skeys, key, svals, val, cmp, tid, 1);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned int I, class KP, class KR, class VP, class VR, class Cmp>
|
||||
struct Unroll
|
||||
{
|
||||
static __device__ void loopShfl(KR key, VR val, Cmp cmp, unsigned int N)
|
||||
{
|
||||
mergeShfl(key, val, cmp, I, N);
|
||||
Unroll<I / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
|
||||
}
|
||||
static __device__ void loop(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
|
||||
{
|
||||
merge(skeys, key, svals, val, cmp, tid, I);
|
||||
Unroll<I / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
|
||||
}
|
||||
};
|
||||
template <class KP, class KR, class VP, class VR, class Cmp>
|
||||
struct Unroll<0, KP, KR, VP, VR, Cmp>
|
||||
{
|
||||
static __device__ void loopShfl(KR, VR, Cmp, unsigned int)
|
||||
{
|
||||
}
|
||||
static __device__ void loop(KP, KR, VP, VR, unsigned int, Cmp)
|
||||
{
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned int N> struct WarpOptimized
|
||||
{
|
||||
template <class KP, class KR, class VP, class VR, class Cmp>
|
||||
static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
|
||||
{
|
||||
#if 0 // __CUDA_ARCH__ >= 300
|
||||
(void) skeys;
|
||||
(void) svals;
|
||||
(void) tid;
|
||||
|
||||
Unroll<N / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
|
||||
#else
|
||||
loadToSmem(skeys, key, tid);
|
||||
loadToSmem(svals, val, tid);
|
||||
|
||||
if (tid < N / 2)
|
||||
Unroll<N / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
|
||||
#endif
|
||||
}
|
||||
};
|
||||
|
||||
template <unsigned int N> struct GenericOptimized32
|
||||
{
|
||||
enum { M = N / 32 };
|
||||
|
||||
template <class KP, class KR, class VP, class VR, class Cmp>
|
||||
static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
|
||||
{
|
||||
const unsigned int laneId = Warp::laneId();
|
||||
|
||||
#if 0 // __CUDA_ARCH__ >= 300
|
||||
Unroll<16, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, warpSize);
|
||||
|
||||
if (laneId == 0)
|
||||
{
|
||||
loadToSmem(skeys, key, tid / 32);
|
||||
loadToSmem(svals, val, tid / 32);
|
||||
}
|
||||
#else
|
||||
loadToSmem(skeys, key, tid);
|
||||
loadToSmem(svals, val, tid);
|
||||
|
||||
if (laneId < 16)
|
||||
Unroll<16, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
|
||||
|
||||
__syncthreads();
|
||||
|
||||
if (laneId == 0)
|
||||
{
|
||||
loadToSmem(skeys, key, tid / 32);
|
||||
loadToSmem(svals, val, tid / 32);
|
||||
}
|
||||
#endif
|
||||
|
||||
__syncthreads();
|
||||
|
||||
loadFromSmem(skeys, key, tid);
|
||||
|
||||
if (tid < 32)
|
||||
{
|
||||
#if 0 // __CUDA_ARCH__ >= 300
|
||||
loadFromSmem(svals, val, tid);
|
||||
|
||||
Unroll<M / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, M);
|
||||
#else
|
||||
Unroll<M / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
template <bool val, class T1, class T2> struct StaticIf;
|
||||
template <class T1, class T2> struct StaticIf<true, T1, T2>
|
||||
{
|
||||
typedef T1 type;
|
||||
};
|
||||
template <class T1, class T2> struct StaticIf<false, T1, T2>
|
||||
{
|
||||
typedef T2 type;
|
||||
};
|
||||
|
||||
template <unsigned int N> struct IsPowerOf2
|
||||
{
|
||||
enum { value = ((N != 0) && !(N & (N - 1))) };
|
||||
};
|
||||
|
||||
template <unsigned int N> struct Dispatcher
|
||||
{
|
||||
typedef typename StaticIf<
|
||||
(N <= 32) && IsPowerOf2<N>::value,
|
||||
WarpOptimized<N>,
|
||||
typename StaticIf<
|
||||
(N <= 1024) && IsPowerOf2<N>::value,
|
||||
GenericOptimized32<N>,
|
||||
Generic<N>
|
||||
>::type
|
||||
>::type reductor;
|
||||
};
|
||||
}
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_PRED_VAL_REDUCE_DETAIL_HPP
|
||||
@ -1,399 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_TRANSFORM_DETAIL_HPP
|
||||
#define OPENCV_CUDA_TRANSFORM_DETAIL_HPP
|
||||
|
||||
#include "../common.hpp"
|
||||
#include "../vec_traits.hpp"
|
||||
#include "../functional.hpp"
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
namespace transform_detail
|
||||
{
|
||||
//! Read Write Traits
|
||||
|
||||
template <typename T, typename D, int shift> struct UnaryReadWriteTraits
|
||||
{
|
||||
typedef typename TypeVec<T, shift>::vec_type read_type;
|
||||
typedef typename TypeVec<D, shift>::vec_type write_type;
|
||||
};
|
||||
|
||||
template <typename T1, typename T2, typename D, int shift> struct BinaryReadWriteTraits
|
||||
{
|
||||
typedef typename TypeVec<T1, shift>::vec_type read_type1;
|
||||
typedef typename TypeVec<T2, shift>::vec_type read_type2;
|
||||
typedef typename TypeVec<D, shift>::vec_type write_type;
|
||||
};
|
||||
|
||||
//! Transform kernels
|
||||
|
||||
template <int shift> struct OpUnroller;
|
||||
template <> struct OpUnroller<1>
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, UnOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src.x);
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, BinOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src1.x, src2.x);
|
||||
}
|
||||
};
|
||||
template <> struct OpUnroller<2>
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, UnOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src.x);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.y = op(src.y);
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, BinOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src1.x, src2.x);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.y = op(src1.y, src2.y);
|
||||
}
|
||||
};
|
||||
template <> struct OpUnroller<3>
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, const UnOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src.x);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.y = op(src.y);
|
||||
if (mask(y, x_shifted + 2))
|
||||
dst.z = op(src.z);
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, const BinOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src1.x, src2.x);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.y = op(src1.y, src2.y);
|
||||
if (mask(y, x_shifted + 2))
|
||||
dst.z = op(src1.z, src2.z);
|
||||
}
|
||||
};
|
||||
template <> struct OpUnroller<4>
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, const UnOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src.x);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.y = op(src.y);
|
||||
if (mask(y, x_shifted + 2))
|
||||
dst.z = op(src.z);
|
||||
if (mask(y, x_shifted + 3))
|
||||
dst.w = op(src.w);
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, const BinOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.x = op(src1.x, src2.x);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.y = op(src1.y, src2.y);
|
||||
if (mask(y, x_shifted + 2))
|
||||
dst.z = op(src1.z, src2.z);
|
||||
if (mask(y, x_shifted + 3))
|
||||
dst.w = op(src1.w, src2.w);
|
||||
}
|
||||
};
|
||||
template <> struct OpUnroller<8>
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, const UnOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.a0 = op(src.a0);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.a1 = op(src.a1);
|
||||
if (mask(y, x_shifted + 2))
|
||||
dst.a2 = op(src.a2);
|
||||
if (mask(y, x_shifted + 3))
|
||||
dst.a3 = op(src.a3);
|
||||
if (mask(y, x_shifted + 4))
|
||||
dst.a4 = op(src.a4);
|
||||
if (mask(y, x_shifted + 5))
|
||||
dst.a5 = op(src.a5);
|
||||
if (mask(y, x_shifted + 6))
|
||||
dst.a6 = op(src.a6);
|
||||
if (mask(y, x_shifted + 7))
|
||||
dst.a7 = op(src.a7);
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, const BinOp& op, int x_shifted, int y)
|
||||
{
|
||||
if (mask(y, x_shifted))
|
||||
dst.a0 = op(src1.a0, src2.a0);
|
||||
if (mask(y, x_shifted + 1))
|
||||
dst.a1 = op(src1.a1, src2.a1);
|
||||
if (mask(y, x_shifted + 2))
|
||||
dst.a2 = op(src1.a2, src2.a2);
|
||||
if (mask(y, x_shifted + 3))
|
||||
dst.a3 = op(src1.a3, src2.a3);
|
||||
if (mask(y, x_shifted + 4))
|
||||
dst.a4 = op(src1.a4, src2.a4);
|
||||
if (mask(y, x_shifted + 5))
|
||||
dst.a5 = op(src1.a5, src2.a5);
|
||||
if (mask(y, x_shifted + 6))
|
||||
dst.a6 = op(src1.a6, src2.a6);
|
||||
if (mask(y, x_shifted + 7))
|
||||
dst.a7 = op(src1.a7, src2.a7);
|
||||
}
|
||||
};
|
||||
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static __global__ void transformSmart(const PtrStepSz<T> src_, PtrStep<D> dst_, const Mask mask, const UnOp op)
|
||||
{
|
||||
typedef TransformFunctorTraits<UnOp> ft;
|
||||
typedef typename UnaryReadWriteTraits<T, D, ft::smart_shift>::read_type read_type;
|
||||
typedef typename UnaryReadWriteTraits<T, D, ft::smart_shift>::write_type write_type;
|
||||
|
||||
const int x = threadIdx.x + blockIdx.x * blockDim.x;
|
||||
const int y = threadIdx.y + blockIdx.y * blockDim.y;
|
||||
const int x_shifted = x * ft::smart_shift;
|
||||
|
||||
if (y < src_.rows)
|
||||
{
|
||||
const T* src = src_.ptr(y);
|
||||
D* dst = dst_.ptr(y);
|
||||
|
||||
if (x_shifted + ft::smart_shift - 1 < src_.cols)
|
||||
{
|
||||
const read_type src_n_el = ((const read_type*)src)[x];
|
||||
write_type dst_n_el = ((const write_type*)dst)[x];
|
||||
|
||||
OpUnroller<ft::smart_shift>::unroll(src_n_el, dst_n_el, mask, op, x_shifted, y);
|
||||
|
||||
((write_type*)dst)[x] = dst_n_el;
|
||||
}
|
||||
else
|
||||
{
|
||||
for (int real_x = x_shifted; real_x < src_.cols; ++real_x)
|
||||
{
|
||||
if (mask(y, real_x))
|
||||
dst[real_x] = op(src[real_x]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
__global__ static void transformSimple(const PtrStepSz<T> src, PtrStep<D> dst, const Mask mask, const UnOp op)
|
||||
{
|
||||
const int x = blockDim.x * blockIdx.x + threadIdx.x;
|
||||
const int y = blockDim.y * blockIdx.y + threadIdx.y;
|
||||
|
||||
if (x < src.cols && y < src.rows && mask(y, x))
|
||||
{
|
||||
dst.ptr(y)[x] = op(src.ptr(y)[x]);
|
||||
}
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static __global__ void transformSmart(const PtrStepSz<T1> src1_, const PtrStep<T2> src2_, PtrStep<D> dst_,
|
||||
const Mask mask, const BinOp op)
|
||||
{
|
||||
typedef TransformFunctorTraits<BinOp> ft;
|
||||
typedef typename BinaryReadWriteTraits<T1, T2, D, ft::smart_shift>::read_type1 read_type1;
|
||||
typedef typename BinaryReadWriteTraits<T1, T2, D, ft::smart_shift>::read_type2 read_type2;
|
||||
typedef typename BinaryReadWriteTraits<T1, T2, D, ft::smart_shift>::write_type write_type;
|
||||
|
||||
const int x = threadIdx.x + blockIdx.x * blockDim.x;
|
||||
const int y = threadIdx.y + blockIdx.y * blockDim.y;
|
||||
const int x_shifted = x * ft::smart_shift;
|
||||
|
||||
if (y < src1_.rows)
|
||||
{
|
||||
const T1* src1 = src1_.ptr(y);
|
||||
const T2* src2 = src2_.ptr(y);
|
||||
D* dst = dst_.ptr(y);
|
||||
|
||||
if (x_shifted + ft::smart_shift - 1 < src1_.cols)
|
||||
{
|
||||
const read_type1 src1_n_el = ((const read_type1*)src1)[x];
|
||||
const read_type2 src2_n_el = ((const read_type2*)src2)[x];
|
||||
write_type dst_n_el = ((const write_type*)dst)[x];
|
||||
|
||||
OpUnroller<ft::smart_shift>::unroll(src1_n_el, src2_n_el, dst_n_el, mask, op, x_shifted, y);
|
||||
|
||||
((write_type*)dst)[x] = dst_n_el;
|
||||
}
|
||||
else
|
||||
{
|
||||
for (int real_x = x_shifted; real_x < src1_.cols; ++real_x)
|
||||
{
|
||||
if (mask(y, real_x))
|
||||
dst[real_x] = op(src1[real_x], src2[real_x]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static __global__ void transformSimple(const PtrStepSz<T1> src1, const PtrStep<T2> src2, PtrStep<D> dst,
|
||||
const Mask mask, const BinOp op)
|
||||
{
|
||||
const int x = blockDim.x * blockIdx.x + threadIdx.x;
|
||||
const int y = blockDim.y * blockIdx.y + threadIdx.y;
|
||||
|
||||
if (x < src1.cols && y < src1.rows && mask(y, x))
|
||||
{
|
||||
const T1 src1_data = src1.ptr(y)[x];
|
||||
const T2 src2_data = src2.ptr(y)[x];
|
||||
dst.ptr(y)[x] = op(src1_data, src2_data);
|
||||
}
|
||||
}
|
||||
|
||||
template <bool UseSmart> struct TransformDispatcher;
|
||||
template<> struct TransformDispatcher<false>
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static void call(PtrStepSz<T> src, PtrStepSz<D> dst, UnOp op, Mask mask, cudaStream_t stream)
|
||||
{
|
||||
typedef TransformFunctorTraits<UnOp> ft;
|
||||
|
||||
const dim3 threads(ft::simple_block_dim_x, ft::simple_block_dim_y, 1);
|
||||
const dim3 grid(divUp(src.cols, threads.x), divUp(src.rows, threads.y), 1);
|
||||
|
||||
transformSimple<T, D><<<grid, threads, 0, stream>>>(src, dst, mask, op);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
|
||||
if (stream == 0)
|
||||
cudaSafeCall( cudaDeviceSynchronize() );
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static void call(PtrStepSz<T1> src1, PtrStepSz<T2> src2, PtrStepSz<D> dst, BinOp op, Mask mask, cudaStream_t stream)
|
||||
{
|
||||
typedef TransformFunctorTraits<BinOp> ft;
|
||||
|
||||
const dim3 threads(ft::simple_block_dim_x, ft::simple_block_dim_y, 1);
|
||||
const dim3 grid(divUp(src1.cols, threads.x), divUp(src1.rows, threads.y), 1);
|
||||
|
||||
transformSimple<T1, T2, D><<<grid, threads, 0, stream>>>(src1, src2, dst, mask, op);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
|
||||
if (stream == 0)
|
||||
cudaSafeCall( cudaDeviceSynchronize() );
|
||||
}
|
||||
};
|
||||
template<> struct TransformDispatcher<true>
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static void call(PtrStepSz<T> src, PtrStepSz<D> dst, UnOp op, Mask mask, cudaStream_t stream)
|
||||
{
|
||||
typedef TransformFunctorTraits<UnOp> ft;
|
||||
|
||||
CV_StaticAssert(ft::smart_shift != 1, "");
|
||||
|
||||
if (!isAligned(src.data, ft::smart_shift * sizeof(T)) || !isAligned(src.step, ft::smart_shift * sizeof(T)) ||
|
||||
!isAligned(dst.data, ft::smart_shift * sizeof(D)) || !isAligned(dst.step, ft::smart_shift * sizeof(D)))
|
||||
{
|
||||
TransformDispatcher<false>::call(src, dst, op, mask, stream);
|
||||
return;
|
||||
}
|
||||
|
||||
const dim3 threads(ft::smart_block_dim_x, ft::smart_block_dim_y, 1);
|
||||
const dim3 grid(divUp(src.cols, threads.x * ft::smart_shift), divUp(src.rows, threads.y), 1);
|
||||
|
||||
transformSmart<T, D><<<grid, threads, 0, stream>>>(src, dst, mask, op);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
|
||||
if (stream == 0)
|
||||
cudaSafeCall( cudaDeviceSynchronize() );
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static void call(PtrStepSz<T1> src1, PtrStepSz<T2> src2, PtrStepSz<D> dst, BinOp op, Mask mask, cudaStream_t stream)
|
||||
{
|
||||
typedef TransformFunctorTraits<BinOp> ft;
|
||||
|
||||
CV_StaticAssert(ft::smart_shift != 1, "");
|
||||
|
||||
if (!isAligned(src1.data, ft::smart_shift * sizeof(T1)) || !isAligned(src1.step, ft::smart_shift * sizeof(T1)) ||
|
||||
!isAligned(src2.data, ft::smart_shift * sizeof(T2)) || !isAligned(src2.step, ft::smart_shift * sizeof(T2)) ||
|
||||
!isAligned(dst.data, ft::smart_shift * sizeof(D)) || !isAligned(dst.step, ft::smart_shift * sizeof(D)))
|
||||
{
|
||||
TransformDispatcher<false>::call(src1, src2, dst, op, mask, stream);
|
||||
return;
|
||||
}
|
||||
|
||||
const dim3 threads(ft::smart_block_dim_x, ft::smart_block_dim_y, 1);
|
||||
const dim3 grid(divUp(src1.cols, threads.x * ft::smart_shift), divUp(src1.rows, threads.y), 1);
|
||||
|
||||
transformSmart<T1, T2, D><<<grid, threads, 0, stream>>>(src1, src2, dst, mask, op);
|
||||
cudaSafeCall( cudaGetLastError() );
|
||||
|
||||
if (stream == 0)
|
||||
cudaSafeCall( cudaDeviceSynchronize() );
|
||||
}
|
||||
};
|
||||
} // namespace transform_detail
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_TRANSFORM_DETAIL_HPP
|
||||
@ -1,191 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_TYPE_TRAITS_DETAIL_HPP
|
||||
#define OPENCV_CUDA_TYPE_TRAITS_DETAIL_HPP
|
||||
|
||||
#include "../common.hpp"
|
||||
#include "../vec_traits.hpp"
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
namespace type_traits_detail
|
||||
{
|
||||
template <bool, typename T1, typename T2> struct Select { typedef T1 type; };
|
||||
template <typename T1, typename T2> struct Select<false, T1, T2> { typedef T2 type; };
|
||||
|
||||
template <typename T> struct IsSignedIntergral { enum {value = 0}; };
|
||||
template <> struct IsSignedIntergral<schar> { enum {value = 1}; };
|
||||
template <> struct IsSignedIntergral<char1> { enum {value = 1}; };
|
||||
template <> struct IsSignedIntergral<short> { enum {value = 1}; };
|
||||
template <> struct IsSignedIntergral<short1> { enum {value = 1}; };
|
||||
template <> struct IsSignedIntergral<int> { enum {value = 1}; };
|
||||
template <> struct IsSignedIntergral<int1> { enum {value = 1}; };
|
||||
|
||||
template <typename T> struct IsUnsignedIntegral { enum {value = 0}; };
|
||||
template <> struct IsUnsignedIntegral<uchar> { enum {value = 1}; };
|
||||
template <> struct IsUnsignedIntegral<uchar1> { enum {value = 1}; };
|
||||
template <> struct IsUnsignedIntegral<ushort> { enum {value = 1}; };
|
||||
template <> struct IsUnsignedIntegral<ushort1> { enum {value = 1}; };
|
||||
template <> struct IsUnsignedIntegral<uint> { enum {value = 1}; };
|
||||
template <> struct IsUnsignedIntegral<uint1> { enum {value = 1}; };
|
||||
|
||||
template <typename T> struct IsIntegral { enum {value = IsSignedIntergral<T>::value || IsUnsignedIntegral<T>::value}; };
|
||||
template <> struct IsIntegral<char> { enum {value = 1}; };
|
||||
template <> struct IsIntegral<bool> { enum {value = 1}; };
|
||||
|
||||
template <typename T> struct IsFloat { enum {value = 0}; };
|
||||
template <> struct IsFloat<float> { enum {value = 1}; };
|
||||
template <> struct IsFloat<double> { enum {value = 1}; };
|
||||
|
||||
template <typename T> struct IsVec { enum {value = 0}; };
|
||||
template <> struct IsVec<uchar1> { enum {value = 1}; };
|
||||
template <> struct IsVec<uchar2> { enum {value = 1}; };
|
||||
template <> struct IsVec<uchar3> { enum {value = 1}; };
|
||||
template <> struct IsVec<uchar4> { enum {value = 1}; };
|
||||
template <> struct IsVec<uchar8> { enum {value = 1}; };
|
||||
template <> struct IsVec<char1> { enum {value = 1}; };
|
||||
template <> struct IsVec<char2> { enum {value = 1}; };
|
||||
template <> struct IsVec<char3> { enum {value = 1}; };
|
||||
template <> struct IsVec<char4> { enum {value = 1}; };
|
||||
template <> struct IsVec<char8> { enum {value = 1}; };
|
||||
template <> struct IsVec<ushort1> { enum {value = 1}; };
|
||||
template <> struct IsVec<ushort2> { enum {value = 1}; };
|
||||
template <> struct IsVec<ushort3> { enum {value = 1}; };
|
||||
template <> struct IsVec<ushort4> { enum {value = 1}; };
|
||||
template <> struct IsVec<ushort8> { enum {value = 1}; };
|
||||
template <> struct IsVec<short1> { enum {value = 1}; };
|
||||
template <> struct IsVec<short2> { enum {value = 1}; };
|
||||
template <> struct IsVec<short3> { enum {value = 1}; };
|
||||
template <> struct IsVec<short4> { enum {value = 1}; };
|
||||
template <> struct IsVec<short8> { enum {value = 1}; };
|
||||
template <> struct IsVec<uint1> { enum {value = 1}; };
|
||||
template <> struct IsVec<uint2> { enum {value = 1}; };
|
||||
template <> struct IsVec<uint3> { enum {value = 1}; };
|
||||
template <> struct IsVec<uint4> { enum {value = 1}; };
|
||||
template <> struct IsVec<uint8> { enum {value = 1}; };
|
||||
template <> struct IsVec<int1> { enum {value = 1}; };
|
||||
template <> struct IsVec<int2> { enum {value = 1}; };
|
||||
template <> struct IsVec<int3> { enum {value = 1}; };
|
||||
template <> struct IsVec<int4> { enum {value = 1}; };
|
||||
template <> struct IsVec<int8> { enum {value = 1}; };
|
||||
template <> struct IsVec<float1> { enum {value = 1}; };
|
||||
template <> struct IsVec<float2> { enum {value = 1}; };
|
||||
template <> struct IsVec<float3> { enum {value = 1}; };
|
||||
template <> struct IsVec<float4> { enum {value = 1}; };
|
||||
template <> struct IsVec<float8> { enum {value = 1}; };
|
||||
template <> struct IsVec<double1> { enum {value = 1}; };
|
||||
template <> struct IsVec<double2> { enum {value = 1}; };
|
||||
template <> struct IsVec<double3> { enum {value = 1}; };
|
||||
template <> struct IsVec<double4> { enum {value = 1}; };
|
||||
template <> struct IsVec<double8> { enum {value = 1}; };
|
||||
|
||||
template <class U> struct AddParameterType { typedef const U& type; };
|
||||
template <class U> struct AddParameterType<U&> { typedef U& type; };
|
||||
template <> struct AddParameterType<void> { typedef void type; };
|
||||
|
||||
template <class U> struct ReferenceTraits
|
||||
{
|
||||
enum { value = false };
|
||||
typedef U type;
|
||||
};
|
||||
template <class U> struct ReferenceTraits<U&>
|
||||
{
|
||||
enum { value = true };
|
||||
typedef U type;
|
||||
};
|
||||
|
||||
template <class U> struct PointerTraits
|
||||
{
|
||||
enum { value = false };
|
||||
typedef void type;
|
||||
};
|
||||
template <class U> struct PointerTraits<U*>
|
||||
{
|
||||
enum { value = true };
|
||||
typedef U type;
|
||||
};
|
||||
template <class U> struct PointerTraits<U*&>
|
||||
{
|
||||
enum { value = true };
|
||||
typedef U type;
|
||||
};
|
||||
|
||||
template <class U> struct UnConst
|
||||
{
|
||||
typedef U type;
|
||||
enum { value = 0 };
|
||||
};
|
||||
template <class U> struct UnConst<const U>
|
||||
{
|
||||
typedef U type;
|
||||
enum { value = 1 };
|
||||
};
|
||||
template <class U> struct UnConst<const U&>
|
||||
{
|
||||
typedef U& type;
|
||||
enum { value = 1 };
|
||||
};
|
||||
|
||||
template <class U> struct UnVolatile
|
||||
{
|
||||
typedef U type;
|
||||
enum { value = 0 };
|
||||
};
|
||||
template <class U> struct UnVolatile<volatile U>
|
||||
{
|
||||
typedef U type;
|
||||
enum { value = 1 };
|
||||
};
|
||||
template <class U> struct UnVolatile<volatile U&>
|
||||
{
|
||||
typedef U& type;
|
||||
enum { value = 1 };
|
||||
};
|
||||
} // namespace type_traits_detail
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_TYPE_TRAITS_DETAIL_HPP
|
||||
@ -1,121 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_VEC_DISTANCE_DETAIL_HPP
|
||||
#define OPENCV_CUDA_VEC_DISTANCE_DETAIL_HPP
|
||||
|
||||
#include "../datamov_utils.hpp"
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
namespace vec_distance_detail
|
||||
{
|
||||
template <int THREAD_DIM, int N> struct UnrollVecDiffCached
|
||||
{
|
||||
template <typename Dist, typename T1, typename T2>
|
||||
static __device__ void calcCheck(const T1* vecCached, const T2* vecGlob, int len, Dist& dist, int ind)
|
||||
{
|
||||
if (ind < len)
|
||||
{
|
||||
T1 val1 = *vecCached++;
|
||||
|
||||
T2 val2;
|
||||
ForceGlob<T2>::Load(vecGlob, ind, val2);
|
||||
|
||||
dist.reduceIter(val1, val2);
|
||||
|
||||
UnrollVecDiffCached<THREAD_DIM, N - 1>::calcCheck(vecCached, vecGlob, len, dist, ind + THREAD_DIM);
|
||||
}
|
||||
}
|
||||
|
||||
template <typename Dist, typename T1, typename T2>
|
||||
static __device__ void calcWithoutCheck(const T1* vecCached, const T2* vecGlob, Dist& dist)
|
||||
{
|
||||
T1 val1 = *vecCached++;
|
||||
|
||||
T2 val2;
|
||||
ForceGlob<T2>::Load(vecGlob, 0, val2);
|
||||
vecGlob += THREAD_DIM;
|
||||
|
||||
dist.reduceIter(val1, val2);
|
||||
|
||||
UnrollVecDiffCached<THREAD_DIM, N - 1>::calcWithoutCheck(vecCached, vecGlob, dist);
|
||||
}
|
||||
};
|
||||
template <int THREAD_DIM> struct UnrollVecDiffCached<THREAD_DIM, 0>
|
||||
{
|
||||
template <typename Dist, typename T1, typename T2>
|
||||
static __device__ __forceinline__ void calcCheck(const T1*, const T2*, int, Dist&, int)
|
||||
{
|
||||
}
|
||||
|
||||
template <typename Dist, typename T1, typename T2>
|
||||
static __device__ __forceinline__ void calcWithoutCheck(const T1*, const T2*, Dist&)
|
||||
{
|
||||
}
|
||||
};
|
||||
|
||||
template <int THREAD_DIM, int MAX_LEN, bool LEN_EQ_MAX_LEN> struct VecDiffCachedCalculator;
|
||||
template <int THREAD_DIM, int MAX_LEN> struct VecDiffCachedCalculator<THREAD_DIM, MAX_LEN, false>
|
||||
{
|
||||
template <typename Dist, typename T1, typename T2>
|
||||
static __device__ __forceinline__ void calc(const T1* vecCached, const T2* vecGlob, int len, Dist& dist, int tid)
|
||||
{
|
||||
UnrollVecDiffCached<THREAD_DIM, MAX_LEN / THREAD_DIM>::calcCheck(vecCached, vecGlob, len, dist, tid);
|
||||
}
|
||||
};
|
||||
template <int THREAD_DIM, int MAX_LEN> struct VecDiffCachedCalculator<THREAD_DIM, MAX_LEN, true>
|
||||
{
|
||||
template <typename Dist, typename T1, typename T2>
|
||||
static __device__ __forceinline__ void calc(const T1* vecCached, const T2* vecGlob, int len, Dist& dist, int tid)
|
||||
{
|
||||
UnrollVecDiffCached<THREAD_DIM, MAX_LEN / THREAD_DIM>::calcWithoutCheck(vecCached, vecGlob + tid, dist);
|
||||
}
|
||||
};
|
||||
} // namespace vec_distance_detail
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_VEC_DISTANCE_DETAIL_HPP
|
||||
@ -1,88 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_DYNAMIC_SMEM_HPP
|
||||
#define OPENCV_CUDA_DYNAMIC_SMEM_HPP
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
template<class T> struct DynamicSharedMem
|
||||
{
|
||||
__device__ __forceinline__ operator T*()
|
||||
{
|
||||
extern __shared__ int __smem[];
|
||||
return (T*)__smem;
|
||||
}
|
||||
|
||||
__device__ __forceinline__ operator const T*() const
|
||||
{
|
||||
extern __shared__ int __smem[];
|
||||
return (T*)__smem;
|
||||
}
|
||||
};
|
||||
|
||||
// specialize for double to avoid unaligned memory access compile errors
|
||||
template<> struct DynamicSharedMem<double>
|
||||
{
|
||||
__device__ __forceinline__ operator double*()
|
||||
{
|
||||
extern __shared__ double __smem_d[];
|
||||
return (double*)__smem_d;
|
||||
}
|
||||
|
||||
__device__ __forceinline__ operator const double*() const
|
||||
{
|
||||
extern __shared__ double __smem_d[];
|
||||
return (double*)__smem_d;
|
||||
}
|
||||
};
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_DYNAMIC_SMEM_HPP
|
||||
@ -1,269 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_EMULATION_HPP_
|
||||
#define OPENCV_CUDA_EMULATION_HPP_
|
||||
|
||||
#include "common.hpp"
|
||||
#include "warp_reduce.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
struct Emulation
|
||||
{
|
||||
|
||||
static __device__ __forceinline__ int syncthreadsOr(int pred)
|
||||
{
|
||||
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 200)
|
||||
// just campilation stab
|
||||
return 0;
|
||||
#else
|
||||
return __syncthreads_or(pred);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<int CTA_SIZE>
|
||||
static __forceinline__ __device__ int Ballot(int predicate)
|
||||
{
|
||||
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ >= 200)
|
||||
return __ballot(predicate);
|
||||
#else
|
||||
__shared__ volatile int cta_buffer[CTA_SIZE];
|
||||
|
||||
int tid = threadIdx.x;
|
||||
cta_buffer[tid] = predicate ? (1 << (tid & 31)) : 0;
|
||||
return warp_reduce(cta_buffer);
|
||||
#endif
|
||||
}
|
||||
|
||||
struct smem
|
||||
{
|
||||
enum { TAG_MASK = (1U << ( (sizeof(unsigned int) << 3) - 5U)) - 1U };
|
||||
|
||||
template<typename T>
|
||||
static __device__ __forceinline__ T atomicInc(T* address, T val)
|
||||
{
|
||||
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 120)
|
||||
T count;
|
||||
unsigned int tag = threadIdx.x << ( (sizeof(unsigned int) << 3) - 5U);
|
||||
do
|
||||
{
|
||||
count = *address & TAG_MASK;
|
||||
count = tag | (count + 1);
|
||||
*address = count;
|
||||
} while (*address != count);
|
||||
|
||||
return (count & TAG_MASK) - 1;
|
||||
#else
|
||||
return ::atomicInc(address, val);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<typename T>
|
||||
static __device__ __forceinline__ T atomicAdd(T* address, T val)
|
||||
{
|
||||
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 120)
|
||||
T count;
|
||||
unsigned int tag = threadIdx.x << ( (sizeof(unsigned int) << 3) - 5U);
|
||||
do
|
||||
{
|
||||
count = *address & TAG_MASK;
|
||||
count = tag | (count + val);
|
||||
*address = count;
|
||||
} while (*address != count);
|
||||
|
||||
return (count & TAG_MASK) - val;
|
||||
#else
|
||||
return ::atomicAdd(address, val);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<typename T>
|
||||
static __device__ __forceinline__ T atomicMin(T* address, T val)
|
||||
{
|
||||
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 120)
|
||||
T count = ::min(*address, val);
|
||||
do
|
||||
{
|
||||
*address = count;
|
||||
} while (*address > count);
|
||||
|
||||
return count;
|
||||
#else
|
||||
return ::atomicMin(address, val);
|
||||
#endif
|
||||
}
|
||||
}; // struct cmem
|
||||
|
||||
struct glob
|
||||
{
|
||||
static __device__ __forceinline__ int atomicAdd(int* address, int val)
|
||||
{
|
||||
return ::atomicAdd(address, val);
|
||||
}
|
||||
static __device__ __forceinline__ unsigned int atomicAdd(unsigned int* address, unsigned int val)
|
||||
{
|
||||
return ::atomicAdd(address, val);
|
||||
}
|
||||
static __device__ __forceinline__ float atomicAdd(float* address, float val)
|
||||
{
|
||||
#if __CUDA_ARCH__ >= 200
|
||||
return ::atomicAdd(address, val);
|
||||
#else
|
||||
int* address_as_i = (int*) address;
|
||||
int old = *address_as_i, assumed;
|
||||
do {
|
||||
assumed = old;
|
||||
old = ::atomicCAS(address_as_i, assumed,
|
||||
__float_as_int(val + __int_as_float(assumed)));
|
||||
} while (assumed != old);
|
||||
return __int_as_float(old);
|
||||
#endif
|
||||
}
|
||||
static __device__ __forceinline__ double atomicAdd(double* address, double val)
|
||||
{
|
||||
#if __CUDA_ARCH__ >= 130
|
||||
unsigned long long int* address_as_ull = (unsigned long long int*) address;
|
||||
unsigned long long int old = *address_as_ull, assumed;
|
||||
do {
|
||||
assumed = old;
|
||||
old = ::atomicCAS(address_as_ull, assumed,
|
||||
__double_as_longlong(val + __longlong_as_double(assumed)));
|
||||
} while (assumed != old);
|
||||
return __longlong_as_double(old);
|
||||
#else
|
||||
(void) address;
|
||||
(void) val;
|
||||
return 0.0;
|
||||
#endif
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ int atomicMin(int* address, int val)
|
||||
{
|
||||
return ::atomicMin(address, val);
|
||||
}
|
||||
static __device__ __forceinline__ float atomicMin(float* address, float val)
|
||||
{
|
||||
#if __CUDA_ARCH__ >= 120
|
||||
int* address_as_i = (int*) address;
|
||||
int old = *address_as_i, assumed;
|
||||
do {
|
||||
assumed = old;
|
||||
old = ::atomicCAS(address_as_i, assumed,
|
||||
__float_as_int(::fminf(val, __int_as_float(assumed))));
|
||||
} while (assumed != old);
|
||||
return __int_as_float(old);
|
||||
#else
|
||||
(void) address;
|
||||
(void) val;
|
||||
return 0.0f;
|
||||
#endif
|
||||
}
|
||||
static __device__ __forceinline__ double atomicMin(double* address, double val)
|
||||
{
|
||||
#if __CUDA_ARCH__ >= 130
|
||||
unsigned long long int* address_as_ull = (unsigned long long int*) address;
|
||||
unsigned long long int old = *address_as_ull, assumed;
|
||||
do {
|
||||
assumed = old;
|
||||
old = ::atomicCAS(address_as_ull, assumed,
|
||||
__double_as_longlong(::fmin(val, __longlong_as_double(assumed))));
|
||||
} while (assumed != old);
|
||||
return __longlong_as_double(old);
|
||||
#else
|
||||
(void) address;
|
||||
(void) val;
|
||||
return 0.0;
|
||||
#endif
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ int atomicMax(int* address, int val)
|
||||
{
|
||||
return ::atomicMax(address, val);
|
||||
}
|
||||
static __device__ __forceinline__ float atomicMax(float* address, float val)
|
||||
{
|
||||
#if __CUDA_ARCH__ >= 120
|
||||
int* address_as_i = (int*) address;
|
||||
int old = *address_as_i, assumed;
|
||||
do {
|
||||
assumed = old;
|
||||
old = ::atomicCAS(address_as_i, assumed,
|
||||
__float_as_int(::fmaxf(val, __int_as_float(assumed))));
|
||||
} while (assumed != old);
|
||||
return __int_as_float(old);
|
||||
#else
|
||||
(void) address;
|
||||
(void) val;
|
||||
return 0.0f;
|
||||
#endif
|
||||
}
|
||||
static __device__ __forceinline__ double atomicMax(double* address, double val)
|
||||
{
|
||||
#if __CUDA_ARCH__ >= 130
|
||||
unsigned long long int* address_as_ull = (unsigned long long int*) address;
|
||||
unsigned long long int old = *address_as_ull, assumed;
|
||||
do {
|
||||
assumed = old;
|
||||
old = ::atomicCAS(address_as_ull, assumed,
|
||||
__double_as_longlong(::fmax(val, __longlong_as_double(assumed))));
|
||||
} while (assumed != old);
|
||||
return __longlong_as_double(old);
|
||||
#else
|
||||
(void) address;
|
||||
(void) val;
|
||||
return 0.0;
|
||||
#endif
|
||||
}
|
||||
};
|
||||
}; //struct Emulation
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif /* OPENCV_CUDA_EMULATION_HPP_ */
|
||||
@ -1,286 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_FILTERS_HPP
|
||||
#define OPENCV_CUDA_FILTERS_HPP
|
||||
|
||||
#include "saturate_cast.hpp"
|
||||
#include "vec_traits.hpp"
|
||||
#include "vec_math.hpp"
|
||||
#include "type_traits.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
template <typename Ptr2D> struct PointFilter
|
||||
{
|
||||
typedef typename Ptr2D::elem_type elem_type;
|
||||
typedef float index_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ PointFilter(const Ptr2D& src_, float fx = 0.f, float fy = 0.f)
|
||||
: src(src_)
|
||||
{
|
||||
(void)fx;
|
||||
(void)fy;
|
||||
}
|
||||
|
||||
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
||||
{
|
||||
return src(__float2int_rz(y), __float2int_rz(x));
|
||||
}
|
||||
|
||||
Ptr2D src;
|
||||
};
|
||||
|
||||
template <typename Ptr2D> struct LinearFilter
|
||||
{
|
||||
typedef typename Ptr2D::elem_type elem_type;
|
||||
typedef float index_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ LinearFilter(const Ptr2D& src_, float fx = 0.f, float fy = 0.f)
|
||||
: src(src_)
|
||||
{
|
||||
(void)fx;
|
||||
(void)fy;
|
||||
}
|
||||
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
||||
{
|
||||
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
||||
|
||||
work_type out = VecTraits<work_type>::all(0);
|
||||
|
||||
const int x1 = __float2int_rd(x);
|
||||
const int y1 = __float2int_rd(y);
|
||||
const int x2 = x1 + 1;
|
||||
const int y2 = y1 + 1;
|
||||
|
||||
elem_type src_reg = src(y1, x1);
|
||||
out = out + src_reg * ((x2 - x) * (y2 - y));
|
||||
|
||||
src_reg = src(y1, x2);
|
||||
out = out + src_reg * ((x - x1) * (y2 - y));
|
||||
|
||||
src_reg = src(y2, x1);
|
||||
out = out + src_reg * ((x2 - x) * (y - y1));
|
||||
|
||||
src_reg = src(y2, x2);
|
||||
out = out + src_reg * ((x - x1) * (y - y1));
|
||||
|
||||
return saturate_cast<elem_type>(out);
|
||||
}
|
||||
|
||||
Ptr2D src;
|
||||
};
|
||||
|
||||
template <typename Ptr2D> struct CubicFilter
|
||||
{
|
||||
typedef typename Ptr2D::elem_type elem_type;
|
||||
typedef float index_type;
|
||||
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ CubicFilter(const Ptr2D& src_, float fx = 0.f, float fy = 0.f)
|
||||
: src(src_)
|
||||
{
|
||||
(void)fx;
|
||||
(void)fy;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ float bicubicCoeff(float x_)
|
||||
{
|
||||
float x = fabsf(x_);
|
||||
if (x <= 1.0f)
|
||||
{
|
||||
return x * x * (1.5f * x - 2.5f) + 1.0f;
|
||||
}
|
||||
else if (x < 2.0f)
|
||||
{
|
||||
return x * (x * (-0.5f * x + 2.5f) - 4.0f) + 2.0f;
|
||||
}
|
||||
else
|
||||
{
|
||||
return 0.0f;
|
||||
}
|
||||
}
|
||||
|
||||
__device__ elem_type operator ()(float y, float x) const
|
||||
{
|
||||
const float xmin = ::ceilf(x - 2.0f);
|
||||
const float xmax = ::floorf(x + 2.0f);
|
||||
|
||||
const float ymin = ::ceilf(y - 2.0f);
|
||||
const float ymax = ::floorf(y + 2.0f);
|
||||
|
||||
work_type sum = VecTraits<work_type>::all(0);
|
||||
float wsum = 0.0f;
|
||||
|
||||
for (float cy = ymin; cy <= ymax; cy += 1.0f)
|
||||
{
|
||||
for (float cx = xmin; cx <= xmax; cx += 1.0f)
|
||||
{
|
||||
const float w = bicubicCoeff(x - cx) * bicubicCoeff(y - cy);
|
||||
sum = sum + w * src(__float2int_rd(cy), __float2int_rd(cx));
|
||||
wsum += w;
|
||||
}
|
||||
}
|
||||
|
||||
work_type res = (!wsum)? VecTraits<work_type>::all(0) : sum / wsum;
|
||||
|
||||
return saturate_cast<elem_type>(res);
|
||||
}
|
||||
|
||||
Ptr2D src;
|
||||
};
|
||||
// for integer scaling
|
||||
template <typename Ptr2D> struct IntegerAreaFilter
|
||||
{
|
||||
typedef typename Ptr2D::elem_type elem_type;
|
||||
typedef float index_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ IntegerAreaFilter(const Ptr2D& src_, float scale_x_, float scale_y_)
|
||||
: src(src_), scale_x(scale_x_), scale_y(scale_y_), scale(1.f / (scale_x * scale_y)) {}
|
||||
|
||||
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
||||
{
|
||||
float fsx1 = x * scale_x;
|
||||
float fsx2 = fsx1 + scale_x;
|
||||
|
||||
int sx1 = __float2int_ru(fsx1);
|
||||
int sx2 = __float2int_rd(fsx2);
|
||||
|
||||
float fsy1 = y * scale_y;
|
||||
float fsy2 = fsy1 + scale_y;
|
||||
|
||||
int sy1 = __float2int_ru(fsy1);
|
||||
int sy2 = __float2int_rd(fsy2);
|
||||
|
||||
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
||||
work_type out = VecTraits<work_type>::all(0.f);
|
||||
|
||||
for(int dy = sy1; dy < sy2; ++dy)
|
||||
for(int dx = sx1; dx < sx2; ++dx)
|
||||
{
|
||||
out = out + src(dy, dx) * scale;
|
||||
}
|
||||
|
||||
return saturate_cast<elem_type>(out);
|
||||
}
|
||||
|
||||
Ptr2D src;
|
||||
float scale_x, scale_y ,scale;
|
||||
};
|
||||
|
||||
template <typename Ptr2D> struct AreaFilter
|
||||
{
|
||||
typedef typename Ptr2D::elem_type elem_type;
|
||||
typedef float index_type;
|
||||
|
||||
explicit __host__ __device__ __forceinline__ AreaFilter(const Ptr2D& src_, float scale_x_, float scale_y_)
|
||||
: src(src_), scale_x(scale_x_), scale_y(scale_y_){}
|
||||
|
||||
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
||||
{
|
||||
float fsx1 = x * scale_x;
|
||||
float fsx2 = fsx1 + scale_x;
|
||||
|
||||
int sx1 = __float2int_ru(fsx1);
|
||||
int sx2 = __float2int_rd(fsx2);
|
||||
|
||||
float fsy1 = y * scale_y;
|
||||
float fsy2 = fsy1 + scale_y;
|
||||
|
||||
int sy1 = __float2int_ru(fsy1);
|
||||
int sy2 = __float2int_rd(fsy2);
|
||||
|
||||
float scale = 1.f / (fminf(scale_x, src.width - fsx1) * fminf(scale_y, src.height - fsy1));
|
||||
|
||||
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
||||
work_type out = VecTraits<work_type>::all(0.f);
|
||||
|
||||
for (int dy = sy1; dy < sy2; ++dy)
|
||||
{
|
||||
for (int dx = sx1; dx < sx2; ++dx)
|
||||
out = out + src(dy, dx) * scale;
|
||||
|
||||
if (sx1 > fsx1)
|
||||
out = out + src(dy, (sx1 -1) ) * ((sx1 - fsx1) * scale);
|
||||
|
||||
if (sx2 < fsx2)
|
||||
out = out + src(dy, sx2) * ((fsx2 -sx2) * scale);
|
||||
}
|
||||
|
||||
if (sy1 > fsy1)
|
||||
for (int dx = sx1; dx < sx2; ++dx)
|
||||
out = out + src( (sy1 - 1) , dx) * ((sy1 -fsy1) * scale);
|
||||
|
||||
if (sy2 < fsy2)
|
||||
for (int dx = sx1; dx < sx2; ++dx)
|
||||
out = out + src(sy2, dx) * ((fsy2 -sy2) * scale);
|
||||
|
||||
if ((sy1 > fsy1) && (sx1 > fsx1))
|
||||
out = out + src( (sy1 - 1) , (sx1 - 1)) * ((sy1 -fsy1) * (sx1 -fsx1) * scale);
|
||||
|
||||
if ((sy1 > fsy1) && (sx2 < fsx2))
|
||||
out = out + src( (sy1 - 1) , sx2) * ((sy1 -fsy1) * (fsx2 -sx2) * scale);
|
||||
|
||||
if ((sy2 < fsy2) && (sx2 < fsx2))
|
||||
out = out + src(sy2, sx2) * ((fsy2 -sy2) * (fsx2 -sx2) * scale);
|
||||
|
||||
if ((sy2 < fsy2) && (sx1 > fsx1))
|
||||
out = out + src(sy2, (sx1 - 1)) * ((fsy2 -sy2) * (sx1 -fsx1) * scale);
|
||||
|
||||
return saturate_cast<elem_type>(out);
|
||||
}
|
||||
|
||||
Ptr2D src;
|
||||
float scale_x, scale_y;
|
||||
int width, haight;
|
||||
};
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_FILTERS_HPP
|
||||
@ -1,79 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_DEVICE_FUNCATTRIB_HPP
|
||||
#define OPENCV_CUDA_DEVICE_FUNCATTRIB_HPP
|
||||
|
||||
#include <cstdio>
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
template<class Func>
|
||||
void printFuncAttrib(Func& func)
|
||||
{
|
||||
|
||||
cudaFuncAttributes attrs;
|
||||
cudaFuncGetAttributes(&attrs, func);
|
||||
|
||||
printf("=== Function stats ===\n");
|
||||
printf("Name: \n");
|
||||
printf("sharedSizeBytes = %d\n", attrs.sharedSizeBytes);
|
||||
printf("constSizeBytes = %d\n", attrs.constSizeBytes);
|
||||
printf("localSizeBytes = %d\n", attrs.localSizeBytes);
|
||||
printf("maxThreadsPerBlock = %d\n", attrs.maxThreadsPerBlock);
|
||||
printf("numRegs = %d\n", attrs.numRegs);
|
||||
printf("ptxVersion = %d\n", attrs.ptxVersion);
|
||||
printf("binaryVersion = %d\n", attrs.binaryVersion);
|
||||
printf("\n");
|
||||
fflush(stdout);
|
||||
}
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif /* OPENCV_CUDA_DEVICE_FUNCATTRIB_HPP */
|
||||
@ -1,811 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_FUNCTIONAL_HPP
|
||||
#define OPENCV_CUDA_FUNCTIONAL_HPP
|
||||
|
||||
#include <functional>
|
||||
#include "saturate_cast.hpp"
|
||||
#include "vec_traits.hpp"
|
||||
#include "type_traits.hpp"
|
||||
#include "device_functions.h"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
// Function Objects
|
||||
#ifdef CV_CXX11
|
||||
template<typename Argument, typename Result> struct unary_function
|
||||
{
|
||||
typedef Argument argument_type;
|
||||
typedef Result result_type;
|
||||
};
|
||||
template<typename Argument1, typename Argument2, typename Result> struct binary_function
|
||||
{
|
||||
typedef Argument1 first_argument_type;
|
||||
typedef Argument2 second_argument_type;
|
||||
typedef Result result_type;
|
||||
};
|
||||
#else
|
||||
template<typename Argument, typename Result> struct unary_function : public std::unary_function<Argument, Result> {};
|
||||
template<typename Argument1, typename Argument2, typename Result> struct binary_function : public std::binary_function<Argument1, Argument2, Result> {};
|
||||
#endif
|
||||
|
||||
// Arithmetic Operations
|
||||
template <typename T> struct plus : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a + b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ plus() {}
|
||||
__host__ __device__ __forceinline__ plus(const plus&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct minus : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a - b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ minus() {}
|
||||
__host__ __device__ __forceinline__ minus(const minus&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct multiplies : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a * b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ multiplies() {}
|
||||
__host__ __device__ __forceinline__ multiplies(const multiplies&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct divides : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a / b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ divides() {}
|
||||
__host__ __device__ __forceinline__ divides(const divides&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct modulus : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a % b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ modulus() {}
|
||||
__host__ __device__ __forceinline__ modulus(const modulus&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct negate : unary_function<T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a) const
|
||||
{
|
||||
return -a;
|
||||
}
|
||||
__host__ __device__ __forceinline__ negate() {}
|
||||
__host__ __device__ __forceinline__ negate(const negate&) {}
|
||||
};
|
||||
|
||||
// Comparison Operations
|
||||
template <typename T> struct equal_to : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a == b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ equal_to() {}
|
||||
__host__ __device__ __forceinline__ equal_to(const equal_to&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct not_equal_to : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a != b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ not_equal_to() {}
|
||||
__host__ __device__ __forceinline__ not_equal_to(const not_equal_to&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct greater : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a > b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ greater() {}
|
||||
__host__ __device__ __forceinline__ greater(const greater&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct less : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a < b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ less() {}
|
||||
__host__ __device__ __forceinline__ less(const less&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct greater_equal : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a >= b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ greater_equal() {}
|
||||
__host__ __device__ __forceinline__ greater_equal(const greater_equal&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct less_equal : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a <= b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ less_equal() {}
|
||||
__host__ __device__ __forceinline__ less_equal(const less_equal&) {}
|
||||
};
|
||||
|
||||
// Logical Operations
|
||||
template <typename T> struct logical_and : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a && b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ logical_and() {}
|
||||
__host__ __device__ __forceinline__ logical_and(const logical_and&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct logical_or : binary_function<T, T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a || b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ logical_or() {}
|
||||
__host__ __device__ __forceinline__ logical_or(const logical_or&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct logical_not : unary_function<T, bool>
|
||||
{
|
||||
__device__ __forceinline__ bool operator ()(typename TypeTraits<T>::ParameterType a) const
|
||||
{
|
||||
return !a;
|
||||
}
|
||||
__host__ __device__ __forceinline__ logical_not() {}
|
||||
__host__ __device__ __forceinline__ logical_not(const logical_not&) {}
|
||||
};
|
||||
|
||||
// Bitwise Operations
|
||||
template <typename T> struct bit_and : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a & b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ bit_and() {}
|
||||
__host__ __device__ __forceinline__ bit_and(const bit_and&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct bit_or : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a | b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ bit_or() {}
|
||||
__host__ __device__ __forceinline__ bit_or(const bit_or&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct bit_xor : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType a,
|
||||
typename TypeTraits<T>::ParameterType b) const
|
||||
{
|
||||
return a ^ b;
|
||||
}
|
||||
__host__ __device__ __forceinline__ bit_xor() {}
|
||||
__host__ __device__ __forceinline__ bit_xor(const bit_xor&) {}
|
||||
};
|
||||
|
||||
template <typename T> struct bit_not : unary_function<T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType v) const
|
||||
{
|
||||
return ~v;
|
||||
}
|
||||
__host__ __device__ __forceinline__ bit_not() {}
|
||||
__host__ __device__ __forceinline__ bit_not(const bit_not&) {}
|
||||
};
|
||||
|
||||
// Generalized Identity Operations
|
||||
template <typename T> struct identity : unary_function<T, T>
|
||||
{
|
||||
__device__ __forceinline__ typename TypeTraits<T>::ParameterType operator()(typename TypeTraits<T>::ParameterType x) const
|
||||
{
|
||||
return x;
|
||||
}
|
||||
__host__ __device__ __forceinline__ identity() {}
|
||||
__host__ __device__ __forceinline__ identity(const identity&) {}
|
||||
};
|
||||
|
||||
template <typename T1, typename T2> struct project1st : binary_function<T1, T2, T1>
|
||||
{
|
||||
__device__ __forceinline__ typename TypeTraits<T1>::ParameterType operator()(typename TypeTraits<T1>::ParameterType lhs, typename TypeTraits<T2>::ParameterType rhs) const
|
||||
{
|
||||
return lhs;
|
||||
}
|
||||
__host__ __device__ __forceinline__ project1st() {}
|
||||
__host__ __device__ __forceinline__ project1st(const project1st&) {}
|
||||
};
|
||||
|
||||
template <typename T1, typename T2> struct project2nd : binary_function<T1, T2, T2>
|
||||
{
|
||||
__device__ __forceinline__ typename TypeTraits<T2>::ParameterType operator()(typename TypeTraits<T1>::ParameterType lhs, typename TypeTraits<T2>::ParameterType rhs) const
|
||||
{
|
||||
return rhs;
|
||||
}
|
||||
__host__ __device__ __forceinline__ project2nd() {}
|
||||
__host__ __device__ __forceinline__ project2nd(const project2nd&) {}
|
||||
};
|
||||
|
||||
// Min/Max Operations
|
||||
|
||||
#define OPENCV_CUDA_IMPLEMENT_MINMAX(name, type, op) \
|
||||
template <> struct name<type> : binary_function<type, type, type> \
|
||||
{ \
|
||||
__device__ __forceinline__ type operator()(type lhs, type rhs) const {return op(lhs, rhs);} \
|
||||
__host__ __device__ __forceinline__ name() {}\
|
||||
__host__ __device__ __forceinline__ name(const name&) {}\
|
||||
};
|
||||
|
||||
template <typename T> struct maximum : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator()(typename TypeTraits<T>::ParameterType lhs, typename TypeTraits<T>::ParameterType rhs) const
|
||||
{
|
||||
return max(lhs, rhs);
|
||||
}
|
||||
__host__ __device__ __forceinline__ maximum() {}
|
||||
__host__ __device__ __forceinline__ maximum(const maximum&) {}
|
||||
};
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, uchar, ::max)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, schar, ::max)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, char, ::max)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, ushort, ::max)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, short, ::max)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, int, ::max)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, uint, ::max)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, float, ::fmax)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(maximum, double, ::fmax)
|
||||
|
||||
template <typename T> struct minimum : binary_function<T, T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator()(typename TypeTraits<T>::ParameterType lhs, typename TypeTraits<T>::ParameterType rhs) const
|
||||
{
|
||||
return min(lhs, rhs);
|
||||
}
|
||||
__host__ __device__ __forceinline__ minimum() {}
|
||||
__host__ __device__ __forceinline__ minimum(const minimum&) {}
|
||||
};
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, uchar, ::min)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, schar, ::min)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, char, ::min)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, ushort, ::min)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, short, ::min)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, int, ::min)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, uint, ::min)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, float, ::fmin)
|
||||
OPENCV_CUDA_IMPLEMENT_MINMAX(minimum, double, ::fmin)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_MINMAX
|
||||
|
||||
// Math functions
|
||||
|
||||
template <typename T> struct abs_func : unary_function<T, T>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType x) const
|
||||
{
|
||||
return abs(x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<unsigned char> : unary_function<unsigned char, unsigned char>
|
||||
{
|
||||
__device__ __forceinline__ unsigned char operator ()(unsigned char x) const
|
||||
{
|
||||
return x;
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<signed char> : unary_function<signed char, signed char>
|
||||
{
|
||||
__device__ __forceinline__ signed char operator ()(signed char x) const
|
||||
{
|
||||
return ::abs((int)x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<char> : unary_function<char, char>
|
||||
{
|
||||
__device__ __forceinline__ char operator ()(char x) const
|
||||
{
|
||||
return ::abs((int)x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<unsigned short> : unary_function<unsigned short, unsigned short>
|
||||
{
|
||||
__device__ __forceinline__ unsigned short operator ()(unsigned short x) const
|
||||
{
|
||||
return x;
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<short> : unary_function<short, short>
|
||||
{
|
||||
__device__ __forceinline__ short operator ()(short x) const
|
||||
{
|
||||
return ::abs((int)x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<unsigned int> : unary_function<unsigned int, unsigned int>
|
||||
{
|
||||
__device__ __forceinline__ unsigned int operator ()(unsigned int x) const
|
||||
{
|
||||
return x;
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<int> : unary_function<int, int>
|
||||
{
|
||||
__device__ __forceinline__ int operator ()(int x) const
|
||||
{
|
||||
return ::abs(x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<float> : unary_function<float, float>
|
||||
{
|
||||
__device__ __forceinline__ float operator ()(float x) const
|
||||
{
|
||||
return ::fabsf(x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
template <> struct abs_func<double> : unary_function<double, double>
|
||||
{
|
||||
__device__ __forceinline__ double operator ()(double x) const
|
||||
{
|
||||
return ::fabs(x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ abs_func() {}
|
||||
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
|
||||
};
|
||||
|
||||
#define OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(name, func) \
|
||||
template <typename T> struct name ## _func : unary_function<T, float> \
|
||||
{ \
|
||||
__device__ __forceinline__ float operator ()(typename TypeTraits<T>::ParameterType v) const \
|
||||
{ \
|
||||
return func ## f(v); \
|
||||
} \
|
||||
__host__ __device__ __forceinline__ name ## _func() {} \
|
||||
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
|
||||
}; \
|
||||
template <> struct name ## _func<double> : unary_function<double, double> \
|
||||
{ \
|
||||
__device__ __forceinline__ double operator ()(double v) const \
|
||||
{ \
|
||||
return func(v); \
|
||||
} \
|
||||
__host__ __device__ __forceinline__ name ## _func() {} \
|
||||
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
|
||||
};
|
||||
|
||||
#define OPENCV_CUDA_IMPLEMENT_BIN_FUNCTOR(name, func) \
|
||||
template <typename T> struct name ## _func : binary_function<T, T, float> \
|
||||
{ \
|
||||
__device__ __forceinline__ float operator ()(typename TypeTraits<T>::ParameterType v1, typename TypeTraits<T>::ParameterType v2) const \
|
||||
{ \
|
||||
return func ## f(v1, v2); \
|
||||
} \
|
||||
__host__ __device__ __forceinline__ name ## _func() {} \
|
||||
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
|
||||
}; \
|
||||
template <> struct name ## _func<double> : binary_function<double, double, double> \
|
||||
{ \
|
||||
__device__ __forceinline__ double operator ()(double v1, double v2) const \
|
||||
{ \
|
||||
return func(v1, v2); \
|
||||
} \
|
||||
__host__ __device__ __forceinline__ name ## _func() {} \
|
||||
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
|
||||
};
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(sqrt, ::sqrt)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(exp, ::exp)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(exp2, ::exp2)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(exp10, ::exp10)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(log, ::log)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(log2, ::log2)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(log10, ::log10)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(sin, ::sin)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(cos, ::cos)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(tan, ::tan)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(asin, ::asin)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(acos, ::acos)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(atan, ::atan)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(sinh, ::sinh)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(cosh, ::cosh)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(tanh, ::tanh)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(asinh, ::asinh)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(acosh, ::acosh)
|
||||
OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR(atanh, ::atanh)
|
||||
|
||||
OPENCV_CUDA_IMPLEMENT_BIN_FUNCTOR(hypot, ::hypot)
|
||||
OPENCV_CUDA_IMPLEMENT_BIN_FUNCTOR(atan2, ::atan2)
|
||||
OPENCV_CUDA_IMPLEMENT_BIN_FUNCTOR(pow, ::pow)
|
||||
|
||||
#undef OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR
|
||||
#undef OPENCV_CUDA_IMPLEMENT_UN_FUNCTOR_NO_DOUBLE
|
||||
#undef OPENCV_CUDA_IMPLEMENT_BIN_FUNCTOR
|
||||
|
||||
template<typename T> struct hypot_sqr_func : binary_function<T, T, float>
|
||||
{
|
||||
__device__ __forceinline__ T operator ()(typename TypeTraits<T>::ParameterType src1, typename TypeTraits<T>::ParameterType src2) const
|
||||
{
|
||||
return src1 * src1 + src2 * src2;
|
||||
}
|
||||
__host__ __device__ __forceinline__ hypot_sqr_func() {}
|
||||
__host__ __device__ __forceinline__ hypot_sqr_func(const hypot_sqr_func&) {}
|
||||
};
|
||||
|
||||
// Saturate Cast Functor
|
||||
template <typename T, typename D> struct saturate_cast_func : unary_function<T, D>
|
||||
{
|
||||
__device__ __forceinline__ D operator ()(typename TypeTraits<T>::ParameterType v) const
|
||||
{
|
||||
return saturate_cast<D>(v);
|
||||
}
|
||||
__host__ __device__ __forceinline__ saturate_cast_func() {}
|
||||
__host__ __device__ __forceinline__ saturate_cast_func(const saturate_cast_func&) {}
|
||||
};
|
||||
|
||||
// Threshold Functors
|
||||
template <typename T> struct thresh_binary_func : unary_function<T, T>
|
||||
{
|
||||
__host__ __device__ __forceinline__ thresh_binary_func(T thresh_, T maxVal_) : thresh(thresh_), maxVal(maxVal_) {}
|
||||
|
||||
__device__ __forceinline__ T operator()(typename TypeTraits<T>::ParameterType src) const
|
||||
{
|
||||
return (src > thresh) * maxVal;
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ thresh_binary_func() {}
|
||||
__host__ __device__ __forceinline__ thresh_binary_func(const thresh_binary_func& other)
|
||||
: thresh(other.thresh), maxVal(other.maxVal) {}
|
||||
|
||||
T thresh;
|
||||
T maxVal;
|
||||
};
|
||||
|
||||
template <typename T> struct thresh_binary_inv_func : unary_function<T, T>
|
||||
{
|
||||
__host__ __device__ __forceinline__ thresh_binary_inv_func(T thresh_, T maxVal_) : thresh(thresh_), maxVal(maxVal_) {}
|
||||
|
||||
__device__ __forceinline__ T operator()(typename TypeTraits<T>::ParameterType src) const
|
||||
{
|
||||
return (src <= thresh) * maxVal;
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ thresh_binary_inv_func() {}
|
||||
__host__ __device__ __forceinline__ thresh_binary_inv_func(const thresh_binary_inv_func& other)
|
||||
: thresh(other.thresh), maxVal(other.maxVal) {}
|
||||
|
||||
T thresh;
|
||||
T maxVal;
|
||||
};
|
||||
|
||||
template <typename T> struct thresh_trunc_func : unary_function<T, T>
|
||||
{
|
||||
explicit __host__ __device__ __forceinline__ thresh_trunc_func(T thresh_, T maxVal_ = 0) : thresh(thresh_) {(void)maxVal_;}
|
||||
|
||||
__device__ __forceinline__ T operator()(typename TypeTraits<T>::ParameterType src) const
|
||||
{
|
||||
return minimum<T>()(src, thresh);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ thresh_trunc_func() {}
|
||||
__host__ __device__ __forceinline__ thresh_trunc_func(const thresh_trunc_func& other)
|
||||
: thresh(other.thresh) {}
|
||||
|
||||
T thresh;
|
||||
};
|
||||
|
||||
template <typename T> struct thresh_to_zero_func : unary_function<T, T>
|
||||
{
|
||||
explicit __host__ __device__ __forceinline__ thresh_to_zero_func(T thresh_, T maxVal_ = 0) : thresh(thresh_) {(void)maxVal_;}
|
||||
|
||||
__device__ __forceinline__ T operator()(typename TypeTraits<T>::ParameterType src) const
|
||||
{
|
||||
return (src > thresh) * src;
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ thresh_to_zero_func() {}
|
||||
__host__ __device__ __forceinline__ thresh_to_zero_func(const thresh_to_zero_func& other)
|
||||
: thresh(other.thresh) {}
|
||||
|
||||
T thresh;
|
||||
};
|
||||
|
||||
template <typename T> struct thresh_to_zero_inv_func : unary_function<T, T>
|
||||
{
|
||||
explicit __host__ __device__ __forceinline__ thresh_to_zero_inv_func(T thresh_, T maxVal_ = 0) : thresh(thresh_) {(void)maxVal_;}
|
||||
|
||||
__device__ __forceinline__ T operator()(typename TypeTraits<T>::ParameterType src) const
|
||||
{
|
||||
return (src <= thresh) * src;
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ thresh_to_zero_inv_func() {}
|
||||
__host__ __device__ __forceinline__ thresh_to_zero_inv_func(const thresh_to_zero_inv_func& other)
|
||||
: thresh(other.thresh) {}
|
||||
|
||||
T thresh;
|
||||
};
|
||||
|
||||
// Function Object Adaptors
|
||||
template <typename Predicate> struct unary_negate : unary_function<typename Predicate::argument_type, bool>
|
||||
{
|
||||
explicit __host__ __device__ __forceinline__ unary_negate(const Predicate& p) : pred(p) {}
|
||||
|
||||
__device__ __forceinline__ bool operator()(typename TypeTraits<typename Predicate::argument_type>::ParameterType x) const
|
||||
{
|
||||
return !pred(x);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ unary_negate() {}
|
||||
__host__ __device__ __forceinline__ unary_negate(const unary_negate& other) : pred(other.pred) {}
|
||||
|
||||
Predicate pred;
|
||||
};
|
||||
|
||||
template <typename Predicate> __host__ __device__ __forceinline__ unary_negate<Predicate> not1(const Predicate& pred)
|
||||
{
|
||||
return unary_negate<Predicate>(pred);
|
||||
}
|
||||
|
||||
template <typename Predicate> struct binary_negate : binary_function<typename Predicate::first_argument_type, typename Predicate::second_argument_type, bool>
|
||||
{
|
||||
explicit __host__ __device__ __forceinline__ binary_negate(const Predicate& p) : pred(p) {}
|
||||
|
||||
__device__ __forceinline__ bool operator()(typename TypeTraits<typename Predicate::first_argument_type>::ParameterType x,
|
||||
typename TypeTraits<typename Predicate::second_argument_type>::ParameterType y) const
|
||||
{
|
||||
return !pred(x,y);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ binary_negate() {}
|
||||
__host__ __device__ __forceinline__ binary_negate(const binary_negate& other) : pred(other.pred) {}
|
||||
|
||||
Predicate pred;
|
||||
};
|
||||
|
||||
template <typename BinaryPredicate> __host__ __device__ __forceinline__ binary_negate<BinaryPredicate> not2(const BinaryPredicate& pred)
|
||||
{
|
||||
return binary_negate<BinaryPredicate>(pred);
|
||||
}
|
||||
|
||||
template <typename Op> struct binder1st : unary_function<typename Op::second_argument_type, typename Op::result_type>
|
||||
{
|
||||
__host__ __device__ __forceinline__ binder1st(const Op& op_, const typename Op::first_argument_type& arg1_) : op(op_), arg1(arg1_) {}
|
||||
|
||||
__device__ __forceinline__ typename Op::result_type operator ()(typename TypeTraits<typename Op::second_argument_type>::ParameterType a) const
|
||||
{
|
||||
return op(arg1, a);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ binder1st() {}
|
||||
__host__ __device__ __forceinline__ binder1st(const binder1st& other) : op(other.op), arg1(other.arg1) {}
|
||||
|
||||
Op op;
|
||||
typename Op::first_argument_type arg1;
|
||||
};
|
||||
|
||||
template <typename Op, typename T> __host__ __device__ __forceinline__ binder1st<Op> bind1st(const Op& op, const T& x)
|
||||
{
|
||||
return binder1st<Op>(op, typename Op::first_argument_type(x));
|
||||
}
|
||||
|
||||
template <typename Op> struct binder2nd : unary_function<typename Op::first_argument_type, typename Op::result_type>
|
||||
{
|
||||
__host__ __device__ __forceinline__ binder2nd(const Op& op_, const typename Op::second_argument_type& arg2_) : op(op_), arg2(arg2_) {}
|
||||
|
||||
__forceinline__ __device__ typename Op::result_type operator ()(typename TypeTraits<typename Op::first_argument_type>::ParameterType a) const
|
||||
{
|
||||
return op(a, arg2);
|
||||
}
|
||||
|
||||
__host__ __device__ __forceinline__ binder2nd() {}
|
||||
__host__ __device__ __forceinline__ binder2nd(const binder2nd& other) : op(other.op), arg2(other.arg2) {}
|
||||
|
||||
Op op;
|
||||
typename Op::second_argument_type arg2;
|
||||
};
|
||||
|
||||
template <typename Op, typename T> __host__ __device__ __forceinline__ binder2nd<Op> bind2nd(const Op& op, const T& x)
|
||||
{
|
||||
return binder2nd<Op>(op, typename Op::second_argument_type(x));
|
||||
}
|
||||
|
||||
// Functor Traits
|
||||
template <typename F> struct IsUnaryFunction
|
||||
{
|
||||
typedef char Yes;
|
||||
struct No {Yes a[2];};
|
||||
|
||||
template <typename T, typename D> static Yes check(unary_function<T, D>);
|
||||
static No check(...);
|
||||
|
||||
static F makeF();
|
||||
|
||||
enum { value = (sizeof(check(makeF())) == sizeof(Yes)) };
|
||||
};
|
||||
|
||||
template <typename F> struct IsBinaryFunction
|
||||
{
|
||||
typedef char Yes;
|
||||
struct No {Yes a[2];};
|
||||
|
||||
template <typename T1, typename T2, typename D> static Yes check(binary_function<T1, T2, D>);
|
||||
static No check(...);
|
||||
|
||||
static F makeF();
|
||||
|
||||
enum { value = (sizeof(check(makeF())) == sizeof(Yes)) };
|
||||
};
|
||||
|
||||
namespace functional_detail
|
||||
{
|
||||
template <size_t src_elem_size, size_t dst_elem_size> struct UnOpShift { enum { shift = 1 }; };
|
||||
template <size_t src_elem_size> struct UnOpShift<src_elem_size, 1> { enum { shift = 4 }; };
|
||||
template <size_t src_elem_size> struct UnOpShift<src_elem_size, 2> { enum { shift = 2 }; };
|
||||
|
||||
template <typename T, typename D> struct DefaultUnaryShift
|
||||
{
|
||||
enum { shift = UnOpShift<sizeof(T), sizeof(D)>::shift };
|
||||
};
|
||||
|
||||
template <size_t src_elem_size1, size_t src_elem_size2, size_t dst_elem_size> struct BinOpShift { enum { shift = 1 }; };
|
||||
template <size_t src_elem_size1, size_t src_elem_size2> struct BinOpShift<src_elem_size1, src_elem_size2, 1> { enum { shift = 4 }; };
|
||||
template <size_t src_elem_size1, size_t src_elem_size2> struct BinOpShift<src_elem_size1, src_elem_size2, 2> { enum { shift = 2 }; };
|
||||
|
||||
template <typename T1, typename T2, typename D> struct DefaultBinaryShift
|
||||
{
|
||||
enum { shift = BinOpShift<sizeof(T1), sizeof(T2), sizeof(D)>::shift };
|
||||
};
|
||||
|
||||
template <typename Func, bool unary = IsUnaryFunction<Func>::value> struct ShiftDispatcher;
|
||||
template <typename Func> struct ShiftDispatcher<Func, true>
|
||||
{
|
||||
enum { shift = DefaultUnaryShift<typename Func::argument_type, typename Func::result_type>::shift };
|
||||
};
|
||||
template <typename Func> struct ShiftDispatcher<Func, false>
|
||||
{
|
||||
enum { shift = DefaultBinaryShift<typename Func::first_argument_type, typename Func::second_argument_type, typename Func::result_type>::shift };
|
||||
};
|
||||
}
|
||||
|
||||
template <typename Func> struct DefaultTransformShift
|
||||
{
|
||||
enum { shift = functional_detail::ShiftDispatcher<Func>::shift };
|
||||
};
|
||||
|
||||
template <typename Func> struct DefaultTransformFunctorTraits
|
||||
{
|
||||
enum { simple_block_dim_x = 16 };
|
||||
enum { simple_block_dim_y = 16 };
|
||||
|
||||
enum { smart_block_dim_x = 16 };
|
||||
enum { smart_block_dim_y = 16 };
|
||||
enum { smart_shift = DefaultTransformShift<Func>::shift };
|
||||
};
|
||||
|
||||
template <typename Func> struct TransformFunctorTraits : DefaultTransformFunctorTraits<Func> {};
|
||||
|
||||
#define OPENCV_CUDA_TRANSFORM_FUNCTOR_TRAITS(type) \
|
||||
template <> struct TransformFunctorTraits< type > : DefaultTransformFunctorTraits< type >
|
||||
}}} // namespace cv { namespace cuda { namespace cudev
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_FUNCTIONAL_HPP
|
||||
@ -1,128 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_LIMITS_HPP
|
||||
#define OPENCV_CUDA_LIMITS_HPP
|
||||
|
||||
#include <limits.h>
|
||||
#include <float.h>
|
||||
#include "common.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
template <class T> struct numeric_limits;
|
||||
|
||||
template <> struct numeric_limits<bool>
|
||||
{
|
||||
__device__ __forceinline__ static bool min() { return false; }
|
||||
__device__ __forceinline__ static bool max() { return true; }
|
||||
static const bool is_signed = false;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<signed char>
|
||||
{
|
||||
__device__ __forceinline__ static signed char min() { return SCHAR_MIN; }
|
||||
__device__ __forceinline__ static signed char max() { return SCHAR_MAX; }
|
||||
static const bool is_signed = true;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<unsigned char>
|
||||
{
|
||||
__device__ __forceinline__ static unsigned char min() { return 0; }
|
||||
__device__ __forceinline__ static unsigned char max() { return UCHAR_MAX; }
|
||||
static const bool is_signed = false;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<short>
|
||||
{
|
||||
__device__ __forceinline__ static short min() { return SHRT_MIN; }
|
||||
__device__ __forceinline__ static short max() { return SHRT_MAX; }
|
||||
static const bool is_signed = true;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<unsigned short>
|
||||
{
|
||||
__device__ __forceinline__ static unsigned short min() { return 0; }
|
||||
__device__ __forceinline__ static unsigned short max() { return USHRT_MAX; }
|
||||
static const bool is_signed = false;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<int>
|
||||
{
|
||||
__device__ __forceinline__ static int min() { return INT_MIN; }
|
||||
__device__ __forceinline__ static int max() { return INT_MAX; }
|
||||
static const bool is_signed = true;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<unsigned int>
|
||||
{
|
||||
__device__ __forceinline__ static unsigned int min() { return 0; }
|
||||
__device__ __forceinline__ static unsigned int max() { return UINT_MAX; }
|
||||
static const bool is_signed = false;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<float>
|
||||
{
|
||||
__device__ __forceinline__ static float min() { return FLT_MIN; }
|
||||
__device__ __forceinline__ static float max() { return FLT_MAX; }
|
||||
__device__ __forceinline__ static float epsilon() { return FLT_EPSILON; }
|
||||
static const bool is_signed = true;
|
||||
};
|
||||
|
||||
template <> struct numeric_limits<double>
|
||||
{
|
||||
__device__ __forceinline__ static double min() { return DBL_MIN; }
|
||||
__device__ __forceinline__ static double max() { return DBL_MAX; }
|
||||
__device__ __forceinline__ static double epsilon() { return DBL_EPSILON; }
|
||||
static const bool is_signed = true;
|
||||
};
|
||||
}}} // namespace cv { namespace cuda { namespace cudev {
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_LIMITS_HPP
|
||||
@ -1,209 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_REDUCE_HPP
|
||||
#define OPENCV_CUDA_REDUCE_HPP
|
||||
|
||||
#ifndef THRUST_DEBUG // eliminate -Wundef warning
|
||||
#define THRUST_DEBUG 0
|
||||
#endif
|
||||
|
||||
#include <thrust/tuple.h>
|
||||
#include "detail/reduce.hpp"
|
||||
#include "detail/reduce_key_val.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
template <int N, typename T, class Op>
|
||||
__device__ __forceinline__ void reduce(volatile T* smem, T& val, unsigned int tid, const Op& op)
|
||||
{
|
||||
reduce_detail::Dispatcher<N>::reductor::template reduce<volatile T*, T&, const Op&>(smem, val, tid, op);
|
||||
}
|
||||
template <int N,
|
||||
typename P0, typename P1, typename P2, typename P3, typename P4, typename P5, typename P6, typename P7, typename P8, typename P9,
|
||||
typename R0, typename R1, typename R2, typename R3, typename R4, typename R5, typename R6, typename R7, typename R8, typename R9,
|
||||
class Op0, class Op1, class Op2, class Op3, class Op4, class Op5, class Op6, class Op7, class Op8, class Op9>
|
||||
__device__ __forceinline__ void reduce(const thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9>& smem,
|
||||
const thrust::tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>& val,
|
||||
unsigned int tid,
|
||||
const thrust::tuple<Op0, Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, Op9>& op)
|
||||
{
|
||||
reduce_detail::Dispatcher<N>::reductor::template reduce<
|
||||
const thrust::tuple<P0, P1, P2, P3, P4, P5, P6, P7, P8, P9>&,
|
||||
const thrust::tuple<R0, R1, R2, R3, R4, R5, R6, R7, R8, R9>&,
|
||||
const thrust::tuple<Op0, Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, Op9>&>(smem, val, tid, op);
|
||||
}
|
||||
|
||||
template <unsigned int N, typename K, typename V, class Cmp>
|
||||
__device__ __forceinline__ void reduceKeyVal(volatile K* skeys, K& key, volatile V* svals, V& val, unsigned int tid, const Cmp& cmp)
|
||||
{
|
||||
reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<volatile K*, K&, volatile V*, V&, const Cmp&>(skeys, key, svals, val, tid, cmp);
|
||||
}
|
||||
template <unsigned int N,
|
||||
typename K,
|
||||
typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
|
||||
class Cmp>
|
||||
__device__ __forceinline__ void reduceKeyVal(volatile K* skeys, K& key,
|
||||
const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
unsigned int tid, const Cmp& cmp)
|
||||
{
|
||||
reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<volatile K*, K&,
|
||||
const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>&,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>&,
|
||||
const Cmp&>(skeys, key, svals, val, tid, cmp);
|
||||
}
|
||||
template <unsigned int N,
|
||||
typename KP0, typename KP1, typename KP2, typename KP3, typename KP4, typename KP5, typename KP6, typename KP7, typename KP8, typename KP9,
|
||||
typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
|
||||
typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
|
||||
typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
|
||||
class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
|
||||
__device__ __forceinline__ void reduceKeyVal(const thrust::tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>& skeys,
|
||||
const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
|
||||
const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
|
||||
unsigned int tid,
|
||||
const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp)
|
||||
{
|
||||
reduce_key_val_detail::Dispatcher<N>::reductor::template reduce<
|
||||
const thrust::tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>&,
|
||||
const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>&,
|
||||
const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>&,
|
||||
const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>&,
|
||||
const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>&
|
||||
>(skeys, key, svals, val, tid, cmp);
|
||||
}
|
||||
|
||||
// smem_tuple
|
||||
|
||||
template <typename T0>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*>
|
||||
smem_tuple(T0* t0)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*>
|
||||
smem_tuple(T0* t0, T1* t1)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2, typename T3>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*, volatile T3*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2, T3* t3)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2, (volatile T3*) t3);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2, typename T3, typename T4>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*, volatile T3*, volatile T4*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2, T3* t3, T4* t4)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2, (volatile T3*) t3, (volatile T4*) t4);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2, typename T3, typename T4, typename T5>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*, volatile T3*, volatile T4*, volatile T5*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2, T3* t3, T4* t4, T5* t5)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2, (volatile T3*) t3, (volatile T4*) t4, (volatile T5*) t5);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2, typename T3, typename T4, typename T5, typename T6>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*, volatile T3*, volatile T4*, volatile T5*, volatile T6*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2, T3* t3, T4* t4, T5* t5, T6* t6)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2, (volatile T3*) t3, (volatile T4*) t4, (volatile T5*) t5, (volatile T6*) t6);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*, volatile T3*, volatile T4*, volatile T5*, volatile T6*, volatile T7*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2, T3* t3, T4* t4, T5* t5, T6* t6, T7* t7)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2, (volatile T3*) t3, (volatile T4*) t4, (volatile T5*) t5, (volatile T6*) t6, (volatile T7*) t7);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7, typename T8>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*, volatile T3*, volatile T4*, volatile T5*, volatile T6*, volatile T7*, volatile T8*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2, T3* t3, T4* t4, T5* t5, T6* t6, T7* t7, T8* t8)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2, (volatile T3*) t3, (volatile T4*) t4, (volatile T5*) t5, (volatile T6*) t6, (volatile T7*) t7, (volatile T8*) t8);
|
||||
}
|
||||
|
||||
template <typename T0, typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7, typename T8, typename T9>
|
||||
__device__ __forceinline__
|
||||
thrust::tuple<volatile T0*, volatile T1*, volatile T2*, volatile T3*, volatile T4*, volatile T5*, volatile T6*, volatile T7*, volatile T8*, volatile T9*>
|
||||
smem_tuple(T0* t0, T1* t1, T2* t2, T3* t3, T4* t4, T5* t5, T6* t6, T7* t7, T8* t8, T9* t9)
|
||||
{
|
||||
return thrust::make_tuple((volatile T0*) t0, (volatile T1*) t1, (volatile T2*) t2, (volatile T3*) t3, (volatile T4*) t4, (volatile T5*) t5, (volatile T6*) t6, (volatile T7*) t7, (volatile T8*) t8, (volatile T9*) t9);
|
||||
}
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_REDUCE_HPP
|
||||
@ -1,292 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_SATURATE_CAST_HPP
|
||||
#define OPENCV_CUDA_SATURATE_CAST_HPP
|
||||
|
||||
#include "common.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(uchar v) { return _Tp(v); }
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(schar v) { return _Tp(v); }
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(ushort v) { return _Tp(v); }
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(short v) { return _Tp(v); }
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(uint v) { return _Tp(v); }
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(int v) { return _Tp(v); }
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(float v) { return _Tp(v); }
|
||||
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(double v) { return _Tp(v); }
|
||||
|
||||
template<> __device__ __forceinline__ uchar saturate_cast<uchar>(schar v)
|
||||
{
|
||||
uint res = 0;
|
||||
int vi = v;
|
||||
asm("cvt.sat.u8.s8 %0, %1;" : "=r"(res) : "r"(vi));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uchar saturate_cast<uchar>(short v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.u8.s16 %0, %1;" : "=r"(res) : "h"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uchar saturate_cast<uchar>(ushort v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.u8.u16 %0, %1;" : "=r"(res) : "h"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uchar saturate_cast<uchar>(int v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.u8.s32 %0, %1;" : "=r"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uchar saturate_cast<uchar>(uint v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.u8.u32 %0, %1;" : "=r"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uchar saturate_cast<uchar>(float v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.rni.sat.u8.f32 %0, %1;" : "=r"(res) : "f"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uchar saturate_cast<uchar>(double v)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
|
||||
uint res = 0;
|
||||
asm("cvt.rni.sat.u8.f64 %0, %1;" : "=r"(res) : "d"(v));
|
||||
return res;
|
||||
#else
|
||||
return saturate_cast<uchar>((float)v);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<> __device__ __forceinline__ schar saturate_cast<schar>(uchar v)
|
||||
{
|
||||
uint res = 0;
|
||||
uint vi = v;
|
||||
asm("cvt.sat.s8.u8 %0, %1;" : "=r"(res) : "r"(vi));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ schar saturate_cast<schar>(short v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.s8.s16 %0, %1;" : "=r"(res) : "h"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ schar saturate_cast<schar>(ushort v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.s8.u16 %0, %1;" : "=r"(res) : "h"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ schar saturate_cast<schar>(int v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.s8.s32 %0, %1;" : "=r"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ schar saturate_cast<schar>(uint v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.s8.u32 %0, %1;" : "=r"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ schar saturate_cast<schar>(float v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.rni.sat.s8.f32 %0, %1;" : "=r"(res) : "f"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ schar saturate_cast<schar>(double v)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
|
||||
uint res = 0;
|
||||
asm("cvt.rni.sat.s8.f64 %0, %1;" : "=r"(res) : "d"(v));
|
||||
return res;
|
||||
#else
|
||||
return saturate_cast<schar>((float)v);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<> __device__ __forceinline__ ushort saturate_cast<ushort>(schar v)
|
||||
{
|
||||
ushort res = 0;
|
||||
int vi = v;
|
||||
asm("cvt.sat.u16.s8 %0, %1;" : "=h"(res) : "r"(vi));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ ushort saturate_cast<ushort>(short v)
|
||||
{
|
||||
ushort res = 0;
|
||||
asm("cvt.sat.u16.s16 %0, %1;" : "=h"(res) : "h"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ ushort saturate_cast<ushort>(int v)
|
||||
{
|
||||
ushort res = 0;
|
||||
asm("cvt.sat.u16.s32 %0, %1;" : "=h"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ ushort saturate_cast<ushort>(uint v)
|
||||
{
|
||||
ushort res = 0;
|
||||
asm("cvt.sat.u16.u32 %0, %1;" : "=h"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ ushort saturate_cast<ushort>(float v)
|
||||
{
|
||||
ushort res = 0;
|
||||
asm("cvt.rni.sat.u16.f32 %0, %1;" : "=h"(res) : "f"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ ushort saturate_cast<ushort>(double v)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
|
||||
ushort res = 0;
|
||||
asm("cvt.rni.sat.u16.f64 %0, %1;" : "=h"(res) : "d"(v));
|
||||
return res;
|
||||
#else
|
||||
return saturate_cast<ushort>((float)v);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<> __device__ __forceinline__ short saturate_cast<short>(ushort v)
|
||||
{
|
||||
short res = 0;
|
||||
asm("cvt.sat.s16.u16 %0, %1;" : "=h"(res) : "h"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ short saturate_cast<short>(int v)
|
||||
{
|
||||
short res = 0;
|
||||
asm("cvt.sat.s16.s32 %0, %1;" : "=h"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ short saturate_cast<short>(uint v)
|
||||
{
|
||||
short res = 0;
|
||||
asm("cvt.sat.s16.u32 %0, %1;" : "=h"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ short saturate_cast<short>(float v)
|
||||
{
|
||||
short res = 0;
|
||||
asm("cvt.rni.sat.s16.f32 %0, %1;" : "=h"(res) : "f"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ short saturate_cast<short>(double v)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
|
||||
short res = 0;
|
||||
asm("cvt.rni.sat.s16.f64 %0, %1;" : "=h"(res) : "d"(v));
|
||||
return res;
|
||||
#else
|
||||
return saturate_cast<short>((float)v);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<> __device__ __forceinline__ int saturate_cast<int>(uint v)
|
||||
{
|
||||
int res = 0;
|
||||
asm("cvt.sat.s32.u32 %0, %1;" : "=r"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ int saturate_cast<int>(float v)
|
||||
{
|
||||
return __float2int_rn(v);
|
||||
}
|
||||
template<> __device__ __forceinline__ int saturate_cast<int>(double v)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
|
||||
return __double2int_rn(v);
|
||||
#else
|
||||
return saturate_cast<int>((float)v);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<> __device__ __forceinline__ uint saturate_cast<uint>(schar v)
|
||||
{
|
||||
uint res = 0;
|
||||
int vi = v;
|
||||
asm("cvt.sat.u32.s8 %0, %1;" : "=r"(res) : "r"(vi));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uint saturate_cast<uint>(short v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.u32.s16 %0, %1;" : "=r"(res) : "h"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uint saturate_cast<uint>(int v)
|
||||
{
|
||||
uint res = 0;
|
||||
asm("cvt.sat.u32.s32 %0, %1;" : "=r"(res) : "r"(v));
|
||||
return res;
|
||||
}
|
||||
template<> __device__ __forceinline__ uint saturate_cast<uint>(float v)
|
||||
{
|
||||
return __float2uint_rn(v);
|
||||
}
|
||||
template<> __device__ __forceinline__ uint saturate_cast<uint>(double v)
|
||||
{
|
||||
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
|
||||
return __double2uint_rn(v);
|
||||
#else
|
||||
return saturate_cast<uint>((float)v);
|
||||
#endif
|
||||
}
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif /* OPENCV_CUDA_SATURATE_CAST_HPP */
|
||||
@ -1,258 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_SCAN_HPP
|
||||
#define OPENCV_CUDA_SCAN_HPP
|
||||
|
||||
#include "opencv2/core/cuda/common.hpp"
|
||||
#include "opencv2/core/cuda/utility.hpp"
|
||||
#include "opencv2/core/cuda/warp.hpp"
|
||||
#include "opencv2/core/cuda/warp_shuffle.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
enum ScanKind { EXCLUSIVE = 0, INCLUSIVE = 1 };
|
||||
|
||||
template <ScanKind Kind, typename T, typename F> struct WarpScan
|
||||
{
|
||||
__device__ __forceinline__ WarpScan() {}
|
||||
__device__ __forceinline__ WarpScan(const WarpScan& other) { (void)other; }
|
||||
|
||||
__device__ __forceinline__ T operator()( volatile T *ptr , const unsigned int idx)
|
||||
{
|
||||
const unsigned int lane = idx & 31;
|
||||
F op;
|
||||
|
||||
if ( lane >= 1) ptr [idx ] = op(ptr [idx - 1], ptr [idx]);
|
||||
if ( lane >= 2) ptr [idx ] = op(ptr [idx - 2], ptr [idx]);
|
||||
if ( lane >= 4) ptr [idx ] = op(ptr [idx - 4], ptr [idx]);
|
||||
if ( lane >= 8) ptr [idx ] = op(ptr [idx - 8], ptr [idx]);
|
||||
if ( lane >= 16) ptr [idx ] = op(ptr [idx - 16], ptr [idx]);
|
||||
|
||||
if( Kind == INCLUSIVE )
|
||||
return ptr [idx];
|
||||
else
|
||||
return (lane > 0) ? ptr [idx - 1] : 0;
|
||||
}
|
||||
|
||||
__device__ __forceinline__ unsigned int index(const unsigned int tid)
|
||||
{
|
||||
return tid;
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void init(volatile T *ptr){}
|
||||
|
||||
static const int warp_offset = 0;
|
||||
|
||||
typedef WarpScan<INCLUSIVE, T, F> merge;
|
||||
};
|
||||
|
||||
template <ScanKind Kind , typename T, typename F> struct WarpScanNoComp
|
||||
{
|
||||
__device__ __forceinline__ WarpScanNoComp() {}
|
||||
__device__ __forceinline__ WarpScanNoComp(const WarpScanNoComp& other) { (void)other; }
|
||||
|
||||
__device__ __forceinline__ T operator()( volatile T *ptr , const unsigned int idx)
|
||||
{
|
||||
const unsigned int lane = threadIdx.x & 31;
|
||||
F op;
|
||||
|
||||
ptr [idx ] = op(ptr [idx - 1], ptr [idx]);
|
||||
ptr [idx ] = op(ptr [idx - 2], ptr [idx]);
|
||||
ptr [idx ] = op(ptr [idx - 4], ptr [idx]);
|
||||
ptr [idx ] = op(ptr [idx - 8], ptr [idx]);
|
||||
ptr [idx ] = op(ptr [idx - 16], ptr [idx]);
|
||||
|
||||
if( Kind == INCLUSIVE )
|
||||
return ptr [idx];
|
||||
else
|
||||
return (lane > 0) ? ptr [idx - 1] : 0;
|
||||
}
|
||||
|
||||
__device__ __forceinline__ unsigned int index(const unsigned int tid)
|
||||
{
|
||||
return (tid >> warp_log) * warp_smem_stride + 16 + (tid & warp_mask);
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void init(volatile T *ptr)
|
||||
{
|
||||
ptr[threadIdx.x] = 0;
|
||||
}
|
||||
|
||||
static const int warp_smem_stride = 32 + 16 + 1;
|
||||
static const int warp_offset = 16;
|
||||
static const int warp_log = 5;
|
||||
static const int warp_mask = 31;
|
||||
|
||||
typedef WarpScanNoComp<INCLUSIVE, T, F> merge;
|
||||
};
|
||||
|
||||
template <ScanKind Kind , typename T, typename Sc, typename F> struct BlockScan
|
||||
{
|
||||
__device__ __forceinline__ BlockScan() {}
|
||||
__device__ __forceinline__ BlockScan(const BlockScan& other) { (void)other; }
|
||||
|
||||
__device__ __forceinline__ T operator()(volatile T *ptr)
|
||||
{
|
||||
const unsigned int tid = threadIdx.x;
|
||||
const unsigned int lane = tid & warp_mask;
|
||||
const unsigned int warp = tid >> warp_log;
|
||||
|
||||
Sc scan;
|
||||
typename Sc::merge merge_scan;
|
||||
const unsigned int idx = scan.index(tid);
|
||||
|
||||
T val = scan(ptr, idx);
|
||||
__syncthreads ();
|
||||
|
||||
if( warp == 0)
|
||||
scan.init(ptr);
|
||||
__syncthreads ();
|
||||
|
||||
if( lane == 31 )
|
||||
ptr [scan.warp_offset + warp ] = (Kind == INCLUSIVE) ? val : ptr [idx];
|
||||
__syncthreads ();
|
||||
|
||||
if( warp == 0 )
|
||||
merge_scan(ptr, idx);
|
||||
__syncthreads();
|
||||
|
||||
if ( warp > 0)
|
||||
val = ptr [scan.warp_offset + warp - 1] + val;
|
||||
__syncthreads ();
|
||||
|
||||
ptr[idx] = val;
|
||||
__syncthreads ();
|
||||
|
||||
return val ;
|
||||
}
|
||||
|
||||
static const int warp_log = 5;
|
||||
static const int warp_mask = 31;
|
||||
};
|
||||
|
||||
template <typename T>
|
||||
__device__ T warpScanInclusive(T idata, volatile T* s_Data, unsigned int tid)
|
||||
{
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
const unsigned int laneId = cv::cuda::device::Warp::laneId();
|
||||
|
||||
// scan on shuffl functions
|
||||
#pragma unroll
|
||||
for (int i = 1; i <= (OPENCV_CUDA_WARP_SIZE / 2); i *= 2)
|
||||
{
|
||||
const T n = cv::cuda::device::shfl_up(idata, i);
|
||||
if (laneId >= i)
|
||||
idata += n;
|
||||
}
|
||||
|
||||
return idata;
|
||||
#else
|
||||
unsigned int pos = 2 * tid - (tid & (OPENCV_CUDA_WARP_SIZE - 1));
|
||||
s_Data[pos] = 0;
|
||||
pos += OPENCV_CUDA_WARP_SIZE;
|
||||
s_Data[pos] = idata;
|
||||
|
||||
s_Data[pos] += s_Data[pos - 1];
|
||||
s_Data[pos] += s_Data[pos - 2];
|
||||
s_Data[pos] += s_Data[pos - 4];
|
||||
s_Data[pos] += s_Data[pos - 8];
|
||||
s_Data[pos] += s_Data[pos - 16];
|
||||
|
||||
return s_Data[pos];
|
||||
#endif
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
__device__ __forceinline__ T warpScanExclusive(T idata, volatile T* s_Data, unsigned int tid)
|
||||
{
|
||||
return warpScanInclusive(idata, s_Data, tid) - idata;
|
||||
}
|
||||
|
||||
template <int tiNumScanThreads, typename T>
|
||||
__device__ T blockScanInclusive(T idata, volatile T* s_Data, unsigned int tid)
|
||||
{
|
||||
if (tiNumScanThreads > OPENCV_CUDA_WARP_SIZE)
|
||||
{
|
||||
//Bottom-level inclusive warp scan
|
||||
T warpResult = warpScanInclusive(idata, s_Data, tid);
|
||||
|
||||
//Save top elements of each warp for exclusive warp scan
|
||||
//sync to wait for warp scans to complete (because s_Data is being overwritten)
|
||||
__syncthreads();
|
||||
if ((tid & (OPENCV_CUDA_WARP_SIZE - 1)) == (OPENCV_CUDA_WARP_SIZE - 1))
|
||||
{
|
||||
s_Data[tid >> OPENCV_CUDA_LOG_WARP_SIZE] = warpResult;
|
||||
}
|
||||
|
||||
//wait for warp scans to complete
|
||||
__syncthreads();
|
||||
|
||||
if (tid < (tiNumScanThreads / OPENCV_CUDA_WARP_SIZE) )
|
||||
{
|
||||
//grab top warp elements
|
||||
T val = s_Data[tid];
|
||||
//calculate exclusive scan and write back to shared memory
|
||||
s_Data[tid] = warpScanExclusive(val, s_Data, tid);
|
||||
}
|
||||
|
||||
//return updated warp scans with exclusive scan results
|
||||
__syncthreads();
|
||||
|
||||
return warpResult + s_Data[tid >> OPENCV_CUDA_LOG_WARP_SIZE];
|
||||
}
|
||||
else
|
||||
{
|
||||
return warpScanInclusive(idata, s_Data, tid);
|
||||
}
|
||||
}
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_SCAN_HPP
|
||||
@ -1,869 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
/*
|
||||
* Copyright (c) 2013 NVIDIA Corporation. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* Redistributions of source code must retain the above copyright notice,
|
||||
* this list of conditions and the following disclaimer.
|
||||
*
|
||||
* Redistributions in binary form must reproduce the above copyright notice,
|
||||
* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
|
||||
*
|
||||
* Neither the name of NVIDIA Corporation nor the names of its contributors
|
||||
* may be used to endorse or promote products derived from this software
|
||||
* without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
|
||||
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
|
||||
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
||||
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
||||
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
||||
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
||||
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
||||
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
||||
* POSSIBILITY OF SUCH DAMAGE.
|
||||
*/
|
||||
|
||||
#ifndef OPENCV_CUDA_SIMD_FUNCTIONS_HPP
|
||||
#define OPENCV_CUDA_SIMD_FUNCTIONS_HPP
|
||||
|
||||
#include "common.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
// 2
|
||||
|
||||
static __device__ __forceinline__ unsigned int vadd2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vadd2.u32.u32.u32.sat %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vadd.u32.u32.u32.sat %0.h0, %1.h0, %2.h0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vadd.u32.u32.u32.sat %0.h1, %1.h1, %2.h1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s;
|
||||
s = a ^ b; // sum bits
|
||||
r = a + b; // actual sum
|
||||
s = s ^ r; // determine carry-ins for each bit position
|
||||
s = s & 0x00010000; // carry-in to high word (= carry-out from low word)
|
||||
r = r - s; // subtract out carry-out from low word
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsub2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vsub2.u32.u32.u32.sat %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vsub.u32.u32.u32.sat %0.h0, %1.h0, %2.h0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vsub.u32.u32.u32.sat %0.h1, %1.h1, %2.h1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s;
|
||||
s = a ^ b; // sum bits
|
||||
r = a - b; // actual sum
|
||||
s = s ^ r; // determine carry-ins for each bit position
|
||||
s = s & 0x00010000; // borrow to high word
|
||||
r = r + s; // compensate for borrow from low word
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vabsdiff2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vabsdiff2.u32.u32.u32.sat %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vabsdiff.u32.u32.u32.sat %0.h0, %1.h0, %2.h0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vabsdiff.u32.u32.u32.sat %0.h1, %1.h1, %2.h1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s, t, u, v;
|
||||
s = a & 0x0000ffff; // extract low halfword
|
||||
r = b & 0x0000ffff; // extract low halfword
|
||||
u = ::max(r, s); // maximum of low halfwords
|
||||
v = ::min(r, s); // minimum of low halfwords
|
||||
s = a & 0xffff0000; // extract high halfword
|
||||
r = b & 0xffff0000; // extract high halfword
|
||||
t = ::max(r, s); // maximum of high halfwords
|
||||
s = ::min(r, s); // minimum of high halfwords
|
||||
r = u | t; // maximum of both halfwords
|
||||
s = v | s; // minimum of both halfwords
|
||||
r = r - s; // |a - b| = max(a,b) - min(a,b);
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vavg2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, s;
|
||||
|
||||
// HAKMEM #23: a + b = 2 * (a & b) + (a ^ b) ==>
|
||||
// (a + b) / 2 = (a & b) + ((a ^ b) >> 1)
|
||||
s = a ^ b;
|
||||
r = a & b;
|
||||
s = s & 0xfffefffe; // ensure shift doesn't cross halfword boundaries
|
||||
s = s >> 1;
|
||||
s = r + s;
|
||||
|
||||
return s;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vavrg2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vavrg2.u32.u32.u32 %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
// HAKMEM #23: a + b = 2 * (a | b) - (a ^ b) ==>
|
||||
// (a + b + 1) / 2 = (a | b) - ((a ^ b) >> 1)
|
||||
unsigned int s;
|
||||
s = a ^ b;
|
||||
r = a | b;
|
||||
s = s & 0xfffefffe; // ensure shift doesn't cross half-word boundaries
|
||||
s = s >> 1;
|
||||
r = r - s;
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vseteq2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset2.u32.u32.eq %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
unsigned int c;
|
||||
r = a ^ b; // 0x0000 if a == b
|
||||
c = r | 0x80008000; // set msbs, to catch carry out
|
||||
r = r ^ c; // extract msbs, msb = 1 if r < 0x8000
|
||||
c = c - 0x00010001; // msb = 0, if r was 0x0000 or 0x8000
|
||||
c = r & ~c; // msb = 1, if r was 0x0000
|
||||
r = c >> 15; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpeq2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vseteq2(a, b);
|
||||
c = r << 16; // convert bool
|
||||
r = c - r; // into mask
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
r = a ^ b; // 0x0000 if a == b
|
||||
c = r | 0x80008000; // set msbs, to catch carry out
|
||||
r = r ^ c; // extract msbs, msb = 1 if r < 0x8000
|
||||
c = c - 0x00010001; // msb = 0, if r was 0x0000 or 0x8000
|
||||
c = r & ~c; // msb = 1, if r was 0x0000
|
||||
r = c >> 15; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetge2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset2.u32.u32.ge %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(b));
|
||||
c = vavrg2(a, b); // (a + ~b + 1) / 2 = (a - b) / 2
|
||||
c = c & 0x80008000; // msb = carry-outs
|
||||
r = c >> 15; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpge2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetge2(a, b);
|
||||
c = r << 16; // convert bool
|
||||
r = c - r; // into mask
|
||||
#else
|
||||
asm("not.b32 %0, %0;" : "+r"(b));
|
||||
c = vavrg2(a, b); // (a + ~b + 1) / 2 = (a - b) / 2
|
||||
c = c & 0x80008000; // msb = carry-outs
|
||||
r = c >> 15; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetgt2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset2.u32.u32.gt %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(b));
|
||||
c = vavg2(a, b); // (a + ~b) / 2 = (a - b) / 2 [rounded down]
|
||||
c = c & 0x80008000; // msbs = carry-outs
|
||||
r = c >> 15; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpgt2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetgt2(a, b);
|
||||
c = r << 16; // convert bool
|
||||
r = c - r; // into mask
|
||||
#else
|
||||
asm("not.b32 %0, %0;" : "+r"(b));
|
||||
c = vavg2(a, b); // (a + ~b) / 2 = (a - b) / 2 [rounded down]
|
||||
c = c & 0x80008000; // msbs = carry-outs
|
||||
r = c >> 15; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetle2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset2.u32.u32.le %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavrg2(a, b); // (b + ~a + 1) / 2 = (b - a) / 2
|
||||
c = c & 0x80008000; // msb = carry-outs
|
||||
r = c >> 15; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmple2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetle2(a, b);
|
||||
c = r << 16; // convert bool
|
||||
r = c - r; // into mask
|
||||
#else
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavrg2(a, b); // (b + ~a + 1) / 2 = (b - a) / 2
|
||||
c = c & 0x80008000; // msb = carry-outs
|
||||
r = c >> 15; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetlt2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset2.u32.u32.lt %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavg2(a, b); // (b + ~a) / 2 = (b - a) / 2 [rounded down]
|
||||
c = c & 0x80008000; // msb = carry-outs
|
||||
r = c >> 15; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmplt2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetlt2(a, b);
|
||||
c = r << 16; // convert bool
|
||||
r = c - r; // into mask
|
||||
#else
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavg2(a, b); // (b + ~a) / 2 = (b - a) / 2 [rounded down]
|
||||
c = c & 0x80008000; // msb = carry-outs
|
||||
r = c >> 15; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetne2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm ("vset2.u32.u32.ne %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
unsigned int c;
|
||||
r = a ^ b; // 0x0000 if a == b
|
||||
c = r | 0x80008000; // set msbs, to catch carry out
|
||||
c = c - 0x00010001; // msb = 0, if r was 0x0000 or 0x8000
|
||||
c = r | c; // msb = 1, if r was not 0x0000
|
||||
c = c & 0x80008000; // extract msbs
|
||||
r = c >> 15; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpne2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetne2(a, b);
|
||||
c = r << 16; // convert bool
|
||||
r = c - r; // into mask
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
r = a ^ b; // 0x0000 if a == b
|
||||
c = r | 0x80008000; // set msbs, to catch carry out
|
||||
c = c - 0x00010001; // msb = 0, if r was 0x0000 or 0x8000
|
||||
c = r | c; // msb = 1, if r was not 0x0000
|
||||
c = c & 0x80008000; // extract msbs
|
||||
r = c >> 15; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vmax2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vmax2.u32.u32.u32 %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vmax.u32.u32.u32 %0.h0, %1.h0, %2.h0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmax.u32.u32.u32 %0.h1, %1.h1, %2.h1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s, t, u;
|
||||
r = a & 0x0000ffff; // extract low halfword
|
||||
s = b & 0x0000ffff; // extract low halfword
|
||||
t = ::max(r, s); // maximum of low halfwords
|
||||
r = a & 0xffff0000; // extract high halfword
|
||||
s = b & 0xffff0000; // extract high halfword
|
||||
u = ::max(r, s); // maximum of high halfwords
|
||||
r = t | u; // combine halfword maximums
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vmin2(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vmin2.u32.u32.u32 %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vmin.u32.u32.u32 %0.h0, %1.h0, %2.h0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmin.u32.u32.u32 %0.h1, %1.h1, %2.h1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s, t, u;
|
||||
r = a & 0x0000ffff; // extract low halfword
|
||||
s = b & 0x0000ffff; // extract low halfword
|
||||
t = ::min(r, s); // minimum of low halfwords
|
||||
r = a & 0xffff0000; // extract high halfword
|
||||
s = b & 0xffff0000; // extract high halfword
|
||||
u = ::min(r, s); // minimum of high halfwords
|
||||
r = t | u; // combine halfword minimums
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
// 4
|
||||
|
||||
static __device__ __forceinline__ unsigned int vadd4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vadd4.u32.u32.u32.sat %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vadd.u32.u32.u32.sat %0.b0, %1.b0, %2.b0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vadd.u32.u32.u32.sat %0.b1, %1.b1, %2.b1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vadd.u32.u32.u32.sat %0.b2, %1.b2, %2.b2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vadd.u32.u32.u32.sat %0.b3, %1.b3, %2.b3, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s, t;
|
||||
s = a ^ b; // sum bits
|
||||
r = a & 0x7f7f7f7f; // clear msbs
|
||||
t = b & 0x7f7f7f7f; // clear msbs
|
||||
s = s & 0x80808080; // msb sum bits
|
||||
r = r + t; // add without msbs, record carry-out in msbs
|
||||
r = r ^ s; // sum of msb sum and carry-in bits, w/o carry-out
|
||||
#endif /* __CUDA_ARCH__ >= 300 */
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsub4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vsub4.u32.u32.u32.sat %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vsub.u32.u32.u32.sat %0.b0, %1.b0, %2.b0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vsub.u32.u32.u32.sat %0.b1, %1.b1, %2.b1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vsub.u32.u32.u32.sat %0.b2, %1.b2, %2.b2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vsub.u32.u32.u32.sat %0.b3, %1.b3, %2.b3, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s, t;
|
||||
s = a ^ ~b; // inverted sum bits
|
||||
r = a | 0x80808080; // set msbs
|
||||
t = b & 0x7f7f7f7f; // clear msbs
|
||||
s = s & 0x80808080; // inverted msb sum bits
|
||||
r = r - t; // subtract w/o msbs, record inverted borrows in msb
|
||||
r = r ^ s; // combine inverted msb sum bits and borrows
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vavg4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, s;
|
||||
|
||||
// HAKMEM #23: a + b = 2 * (a & b) + (a ^ b) ==>
|
||||
// (a + b) / 2 = (a & b) + ((a ^ b) >> 1)
|
||||
s = a ^ b;
|
||||
r = a & b;
|
||||
s = s & 0xfefefefe; // ensure following shift doesn't cross byte boundaries
|
||||
s = s >> 1;
|
||||
s = r + s;
|
||||
|
||||
return s;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vavrg4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vavrg4.u32.u32.u32 %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
// HAKMEM #23: a + b = 2 * (a | b) - (a ^ b) ==>
|
||||
// (a + b + 1) / 2 = (a | b) - ((a ^ b) >> 1)
|
||||
unsigned int c;
|
||||
c = a ^ b;
|
||||
r = a | b;
|
||||
c = c & 0xfefefefe; // ensure following shift doesn't cross byte boundaries
|
||||
c = c >> 1;
|
||||
r = r - c;
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vseteq4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset4.u32.u32.eq %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
unsigned int c;
|
||||
r = a ^ b; // 0x00 if a == b
|
||||
c = r | 0x80808080; // set msbs, to catch carry out
|
||||
r = r ^ c; // extract msbs, msb = 1 if r < 0x80
|
||||
c = c - 0x01010101; // msb = 0, if r was 0x00 or 0x80
|
||||
c = r & ~c; // msb = 1, if r was 0x00
|
||||
r = c >> 7; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpeq4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, t;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vseteq4(a, b);
|
||||
t = r << 8; // convert bool
|
||||
r = t - r; // to mask
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
t = a ^ b; // 0x00 if a == b
|
||||
r = t | 0x80808080; // set msbs, to catch carry out
|
||||
t = t ^ r; // extract msbs, msb = 1 if t < 0x80
|
||||
r = r - 0x01010101; // msb = 0, if t was 0x00 or 0x80
|
||||
r = t & ~r; // msb = 1, if t was 0x00
|
||||
t = r >> 7; // build mask
|
||||
t = r - t; // from
|
||||
r = t | r; // msbs
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetle4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset4.u32.u32.le %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavrg4(a, b); // (b + ~a + 1) / 2 = (b - a) / 2
|
||||
c = c & 0x80808080; // msb = carry-outs
|
||||
r = c >> 7; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmple4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetle4(a, b);
|
||||
c = r << 8; // convert bool
|
||||
r = c - r; // to mask
|
||||
#else
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavrg4(a, b); // (b + ~a + 1) / 2 = (b - a) / 2
|
||||
c = c & 0x80808080; // msbs = carry-outs
|
||||
r = c >> 7; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetlt4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset4.u32.u32.lt %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavg4(a, b); // (b + ~a) / 2 = (b - a) / 2 [rounded down]
|
||||
c = c & 0x80808080; // msb = carry-outs
|
||||
r = c >> 7; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmplt4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetlt4(a, b);
|
||||
c = r << 8; // convert bool
|
||||
r = c - r; // to mask
|
||||
#else
|
||||
asm("not.b32 %0, %0;" : "+r"(a));
|
||||
c = vavg4(a, b); // (b + ~a) / 2 = (b - a) / 2 [rounded down]
|
||||
c = c & 0x80808080; // msbs = carry-outs
|
||||
r = c >> 7; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetge4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset4.u32.u32.ge %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(b));
|
||||
c = vavrg4(a, b); // (a + ~b + 1) / 2 = (a - b) / 2
|
||||
c = c & 0x80808080; // msb = carry-outs
|
||||
r = c >> 7; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpge4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, s;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetge4(a, b);
|
||||
s = r << 8; // convert bool
|
||||
r = s - r; // to mask
|
||||
#else
|
||||
asm ("not.b32 %0,%0;" : "+r"(b));
|
||||
r = vavrg4 (a, b); // (a + ~b + 1) / 2 = (a - b) / 2
|
||||
r = r & 0x80808080; // msb = carry-outs
|
||||
s = r >> 7; // build mask
|
||||
s = r - s; // from
|
||||
r = s | r; // msbs
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetgt4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset4.u32.u32.gt %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int c;
|
||||
asm("not.b32 %0, %0;" : "+r"(b));
|
||||
c = vavg4(a, b); // (a + ~b) / 2 = (a - b) / 2 [rounded down]
|
||||
c = c & 0x80808080; // msb = carry-outs
|
||||
r = c >> 7; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpgt4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetgt4(a, b);
|
||||
c = r << 8; // convert bool
|
||||
r = c - r; // to mask
|
||||
#else
|
||||
asm("not.b32 %0, %0;" : "+r"(b));
|
||||
c = vavg4(a, b); // (a + ~b) / 2 = (a - b) / 2 [rounded down]
|
||||
c = c & 0x80808080; // msb = carry-outs
|
||||
r = c >> 7; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vsetne4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vset4.u32.u32.ne %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
unsigned int c;
|
||||
r = a ^ b; // 0x00 if a == b
|
||||
c = r | 0x80808080; // set msbs, to catch carry out
|
||||
c = c - 0x01010101; // msb = 0, if r was 0x00 or 0x80
|
||||
c = r | c; // msb = 1, if r was not 0x00
|
||||
c = c & 0x80808080; // extract msbs
|
||||
r = c >> 7; // convert to bool
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vcmpne4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r, c;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
r = vsetne4(a, b);
|
||||
c = r << 8; // convert bool
|
||||
r = c - r; // to mask
|
||||
#else
|
||||
// inspired by Alan Mycroft's null-byte detection algorithm:
|
||||
// null_byte(x) = ((x - 0x01010101) & (~x & 0x80808080))
|
||||
r = a ^ b; // 0x00 if a == b
|
||||
c = r | 0x80808080; // set msbs, to catch carry out
|
||||
c = c - 0x01010101; // msb = 0, if r was 0x00 or 0x80
|
||||
c = r | c; // msb = 1, if r was not 0x00
|
||||
c = c & 0x80808080; // extract msbs
|
||||
r = c >> 7; // convert
|
||||
r = c - r; // msbs to
|
||||
r = c | r; // mask
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vabsdiff4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vabsdiff4.u32.u32.u32.sat %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vabsdiff.u32.u32.u32.sat %0.b0, %1.b0, %2.b0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vabsdiff.u32.u32.u32.sat %0.b1, %1.b1, %2.b1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vabsdiff.u32.u32.u32.sat %0.b2, %1.b2, %2.b2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vabsdiff.u32.u32.u32.sat %0.b3, %1.b3, %2.b3, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s;
|
||||
s = vcmpge4(a, b); // mask = 0xff if a >= b
|
||||
r = a ^ b; //
|
||||
s = (r & s) ^ b; // select a when a >= b, else select b => max(a,b)
|
||||
r = s ^ r; // select a when b >= a, else select b => min(a,b)
|
||||
r = s - r; // |a - b| = max(a,b) - min(a,b);
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vmax4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vmax4.u32.u32.u32 %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vmax.u32.u32.u32 %0.b0, %1.b0, %2.b0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmax.u32.u32.u32 %0.b1, %1.b1, %2.b1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmax.u32.u32.u32 %0.b2, %1.b2, %2.b2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmax.u32.u32.u32 %0.b3, %1.b3, %2.b3, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s;
|
||||
s = vcmpge4(a, b); // mask = 0xff if a >= b
|
||||
r = a & s; // select a when b >= a
|
||||
s = b & ~s; // select b when b < a
|
||||
r = r | s; // combine byte selections
|
||||
#endif
|
||||
|
||||
return r; // byte-wise unsigned maximum
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int vmin4(unsigned int a, unsigned int b)
|
||||
{
|
||||
unsigned int r = 0;
|
||||
|
||||
#if __CUDA_ARCH__ >= 300
|
||||
asm("vmin4.u32.u32.u32 %0, %1, %2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#elif __CUDA_ARCH__ >= 200
|
||||
asm("vmin.u32.u32.u32 %0.b0, %1.b0, %2.b0, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmin.u32.u32.u32 %0.b1, %1.b1, %2.b1, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmin.u32.u32.u32 %0.b2, %1.b2, %2.b2, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
asm("vmin.u32.u32.u32 %0.b3, %1.b3, %2.b3, %3;" : "=r"(r) : "r"(a), "r"(b), "r"(r));
|
||||
#else
|
||||
unsigned int s;
|
||||
s = vcmpge4(b, a); // mask = 0xff if a >= b
|
||||
r = a & s; // select a when b >= a
|
||||
s = b & ~s; // select b when b < a
|
||||
r = r | s; // combine byte selections
|
||||
#endif
|
||||
|
||||
return r;
|
||||
}
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_SIMD_FUNCTIONS_HPP
|
||||
@ -1,75 +0,0 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#ifndef OPENCV_CUDA_TRANSFORM_HPP
|
||||
#define OPENCV_CUDA_TRANSFORM_HPP
|
||||
|
||||
#include "common.hpp"
|
||||
#include "utility.hpp"
|
||||
#include "detail/transform_detail.hpp"
|
||||
|
||||
/** @file
|
||||
* @deprecated Use @ref cudev instead.
|
||||
*/
|
||||
|
||||
//! @cond IGNORED
|
||||
|
||||
namespace cv { namespace cuda { namespace device
|
||||
{
|
||||
template <typename T, typename D, typename UnOp, typename Mask>
|
||||
static inline void transform(PtrStepSz<T> src, PtrStepSz<D> dst, UnOp op, const Mask& mask, cudaStream_t stream)
|
||||
{
|
||||
typedef TransformFunctorTraits<UnOp> ft;
|
||||
transform_detail::TransformDispatcher<VecTraits<T>::cn == 1 && VecTraits<D>::cn == 1 && ft::smart_shift != 1>::call(src, dst, op, mask, stream);
|
||||
}
|
||||
|
||||
template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
|
||||
static inline void transform(PtrStepSz<T1> src1, PtrStepSz<T2> src2, PtrStepSz<D> dst, BinOp op, const Mask& mask, cudaStream_t stream)
|
||||
{
|
||||
typedef TransformFunctorTraits<BinOp> ft;
|
||||
transform_detail::TransformDispatcher<VecTraits<T1>::cn == 1 && VecTraits<T2>::cn == 1 && VecTraits<D>::cn == 1 && ft::smart_shift != 1>::call(src1, src2, dst, op, mask, stream);
|
||||
}
|
||||
}}}
|
||||
|
||||
//! @endcond
|
||||
|
||||
#endif // OPENCV_CUDA_TRANSFORM_HPP
|
||||
Some files were not shown because too many files have changed in this diff Show More
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Reference in New Issue