add cpp and android

cpp_ implementation/lpr/tests/test_batch.cpp

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+//
+// Created by 庾金科 on 26/10/2017.
+//
+

cpp_ implementation/lpr/tests/test_detection.cpp

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+//
+// Created by 庾金科 on 20/09/2017.
+//
+
+#include <../include/PlateDetection.h>
+
+
+void drawRect(cv::Mat image,cv::Rect rect)
+{
+    cv::Point p1(rect.x,rect.y);
+    cv::Point p2(rect.x+rect.width,rect.y+rect.height);
+    cv::rectangle(image,p1,p2,cv::Scalar(0,255,0),1);
+}
+
+
+int main()
+{
+    cv::Mat image = cv::imread("res/test1.jpg");
+    pr::PlateDetection plateDetection("model/cascade.xml");
+    std::vector<pr::PlateInfo> plates;
+    plateDetection.plateDetectionRough(image,plates);
+    for(pr::PlateInfo platex:plates)
+    {
+        drawRect(image,platex.getPlateRect());
+        cv::imwrite("res/cache/test.png",platex.getPlateImage());
+        cv::imshow("image",platex.getPlateImage());
+        cv::waitKey(0);
+    }
+    cv::imshow("image",image);
+    cv::waitKey(0);
+    return 0 ;
+
+
+}

cpp_ implementation/lpr/tests/test_fastdeskew.cpp

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+//
+// Created by 庾金科 on 02/10/2017.
+//
+
+
+#include <../include/FastDeskew.h>
+
+
+void drawRect(cv::Mat image,cv::Rect rect)
+{
+    cv::Point p1(rect.x,rect.y);
+    cv::Point p2(rect.x+rect.width,rect.y+rect.height);
+    cv::rectangle(image,p1,p2,cv::Scalar(0,255,0),1);
+}
+void TEST_DESKEW(){
+
+    cv::Mat image = cv::imread("res/3.png",cv::IMREAD_GRAYSCALE);
+//    cv::resize(image,image,cv::Size(136*2,36*2));
+    cv::Mat deskewed = pr::fastdeskew(image,12);
+//    cv::imwrite("./res/4.png",deskewed);
+//     cv::Mat deskewed2 = pr::fastdeskew(deskewed,12);
+//
+    cv::imshow("image",deskewed);
+    cv::waitKey(0);
+
+}
+int main()
+{
+
+    TEST_DESKEW();
+    return 0 ;
+
+
+}

cpp_ implementation/lpr/tests/test_finemapping.cpp

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+//
+// Created by 庾金科 on 24/09/2017.
+//
+
+#include "FineMapping.h"
+
+
+
+
+
+
+int main()
+{
+    cv::Mat image = cv::imread("res/cache/test.png");
+    cv::Mat image_finemapping = pr::FineMapping::FineMappingVertical(image);
+    pr::FineMapping finemapper =  pr::FineMapping("model/HorizonalFinemapping.prototxt","model/HorizonalFinemapping.caffemodel");
+     image_finemapping = finemapper.FineMappingHorizon(image_finemapping,0,-3);
+    cv::imwrite("res/cache/finemappingres.png",image_finemapping);
+    cv::imshow("image",image_finemapping);
+    cv::waitKey(0);
+
+
+    return 0 ;
+
+}

cpp_ implementation/lpr/tests/test_pipeline.cpp

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+//
+// Created by 庾金科 on 23/10/2017.
+//
+
+#include "../include/Pipeline.h"
+
+
+
+void TEST_PIPELINE(){
+
+    pr::PipelinePR prc("model/cascade.xml",
+                      "model/HorizonalFinemapping.prototxt","model/HorizonalFinemapping.caffemodel",
+                      "model/Segmentation.prototxt","model/Segmentation.caffemodel",
+                      "model/CharacterRecognization.prototxt","model/CharacterRecognization.caffemodel"
+                    );
+
+    cv::Mat image = cv::imread("/Users/yujinke/车牌图片/云南车牌/云A1DZ32.jpg");
+    cv::imshow("image",image);
+    cv::waitKey(0);
+
+    std::vector<pr::PlateInfo> res = prc.RunPiplineAsImage(image);
+    float conf = 0 ;
+    for(auto st:res) {
+        if(st.confidence>0.1) {
+            std::cout << st.getPlateName() << " " << st.confidence << std::endl;
+            conf += st.confidence;
+        }
+    }
+    std::cout<<conf<<std::endl;
+
+}
+int main()
+{
+
+    TEST_PIPELINE();
+
+
+    return 0 ;
+
+
+}

cpp_ implementation/lpr/tests/test_recognization.cpp

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+//
+// Created by 庾金科 on 23/10/2017.
+//
+
+#include "../include/CNNRecognizer.h"
+
+std::vector<std::string> chars{"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"};
+
+#include <opencv2/dnn.hpp>
+using namespace cv::dnn;
+
+
+void getMaxClass(cv::Mat &probBlob, int *classId, double *classProb)
+{
+//    cv::Mat probMat = probBlob.matRefConst().reshape(1, 1); //reshape the blob to 1x1000 matrix
+    cv::Point classNumber;
+
+    cv::minMaxLoc(probBlob, NULL, classProb, NULL, &classNumber);
+    *classId = classNumber.x;
+}
+
+void TEST_RECOGNIZATION(){
+//        pr::CNNRecognizer instance("model/CharacterRecognization.prototxt","model/CharacterRecognization.caffemodel");
+         Net net  = cv::dnn::readNetFromCaffe("model/CharacterRecognization.prototxt","model/CharacterRecognization.caffemodel");
+    cv::Mat image = cv::imread("res/char1.png",cv::IMREAD_GRAYSCALE);
+    cv::resize(image,image,cv::Size(14,30));
+    cv::equalizeHist(image,image);
+    cv::Mat inputBlob = cv::dnn::blobFromImage(image, 1/255.0, cv::Size(14,30), false);
+
+    net.setInput(inputBlob,"data");
+
+    cv::Mat res = net.forward();
+    std::cout<<res<<std::endl;
+    float *p = (float*)res.data;
+    int maxid= 0;
+    double prob = 0;
+
+    getMaxClass(res,&maxid,&prob);
+
+
+
+        std::cout<<chars[maxid]<<std::endl;
+
+
+
+
+
+};
+int main()
+{TEST_RECOGNIZATION();
+
+
+}

cpp_ implementation/lpr/tests/test_segmentation.cpp

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+//
+// Created by 庾金科 on 16/10/2017.
+//
+
+
+#include "../include/PlateSegmentation.h"
+#include "../include/CNNRecognizer.h"
+#include "../include/Recognizer.h"
+
+
+std::vector<std::string> chars{"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"};
+
+
+void TEST_SLIDINGWINDOWS_EVAL(){
+    cv::Mat demo = cv::imread("res/cache/finemappingres.png");
+    cv::resize(demo,demo,cv::Size(136,36));
+
+    cv::Mat respones;
+    pr::PlateSegmentation plateSegmentation("model/Segmentation.prototxt","model/Segmentation.caffemodel");
+    pr::PlateInfo plate;
+    plate.setPlateImage(demo);
+    std::vector<cv::Rect> rects;
+    plateSegmentation.segmentPlatePipline(plate,1,rects);
+    plateSegmentation.ExtractRegions(plate,rects);
+
+    pr::GeneralRecognizer *recognizer = new pr::CNNRecognizer("model/CharacterRecognization.prototxt","model/CharacterRecognization.caffemodel");
+    recognizer->SegmentBasedSequenceRecognition(plate);
+    std::cout<<plate.decodePlateNormal(chars)<<std::endl;
+
+
+    delete(recognizer);
+
+
+
+
+
+}
+int main(){
+
+    TEST_SLIDINGWINDOWS_EVAL();
+
+    return  0;
+}