UnknownObject/HyperLPR-Windows-Shared
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

补充提交

Browse Source
This commit is contained in:
lishaobo
2018-07-24 16:40:55 +08:00
parent 9349994108
commit dc487adae1
657 changed files with 148684 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/AsyncServiceHelper.java
+391
View File
@@ -0,0 +1,391 @@
package org.opencv.android;
import java.io.File;
import java.util.StringTokenizer;
import org.opencv.core.Core;
import org.opencv.engine.OpenCVEngineInterface;
import android.content.ComponentName;
import android.content.Context;
import android.content.Intent;
import android.content.ServiceConnection;
import android.net.Uri;
import android.os.IBinder;
import android.os.RemoteException;
import android.util.Log;
class AsyncServiceHelper
{
public static boolean initOpenCV(String Version, final Context AppContext,
final LoaderCallbackInterface Callback)
{
AsyncServiceHelper helper = new AsyncServiceHelper(Version, AppContext, Callback);
Intent intent = new Intent("org.opencv.engine.BIND");
intent.setPackage("org.opencv.engine");
if (AppContext.bindService(intent, helper.mServiceConnection, Context.BIND_AUTO_CREATE))
{
return true;
}
else
{
AppContext.unbindService(helper.mServiceConnection);
InstallService(AppContext, Callback);
return false;
}
}
protected AsyncServiceHelper(String Version, Context AppContext, LoaderCallbackInterface Callback)
{
mOpenCVersion = Version;
mUserAppCallback = Callback;
mAppContext = AppContext;
}
protected static final String TAG = "OpenCVManager/Helper";
protected static final int MINIMUM_ENGINE_VERSION = 2;
protected OpenCVEngineInterface mEngineService;
protected LoaderCallbackInterface mUserAppCallback;
protected String mOpenCVersion;
protected Context mAppContext;
protected static boolean mServiceInstallationProgress = false;
protected static boolean mLibraryInstallationProgress = false;
protected static boolean InstallServiceQuiet(Context context)
{
boolean result = true;
try
{
Intent intent = new Intent(Intent.ACTION_VIEW, Uri.parse(OPEN_CV_SERVICE_URL));
intent.addFlags(Intent.FLAG_ACTIVITY_NEW_TASK);
context.startActivity(intent);
}
catch(Exception e)
{
result = false;
}
return result;
}
protected static void InstallService(final Context AppContext, final LoaderCallbackInterface Callback)
{
if (!mServiceInstallationProgress)
{
Log.d(TAG, "Request new service installation");
InstallCallbackInterface InstallQuery = new InstallCallbackInterface() {
private LoaderCallbackInterface mUserAppCallback = Callback;
public String getPackageName()
{
return "OpenCV Manager";
}
public void install() {
Log.d(TAG, "Trying to install OpenCV Manager via Google Play");
boolean result = InstallServiceQuiet(AppContext);
if (result)
{
mServiceInstallationProgress = true;
Log.d(TAG, "Package installation started");
}
else
{
Log.d(TAG, "OpenCV package was not installed!");
int Status = LoaderCallbackInterface.MARKET_ERROR;
Log.d(TAG, "Init finished with status " + Status);
Log.d(TAG, "Unbind from service");
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(Status);
}
}
public void cancel()
{
Log.d(TAG, "OpenCV library installation was canceled");
int Status = LoaderCallbackInterface.INSTALL_CANCELED;
Log.d(TAG, "Init finished with status " + Status);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(Status);
}
public void wait_install()
{
Log.e(TAG, "Installation was not started! Nothing to wait!");
}
};
Callback.onPackageInstall(InstallCallbackInterface.NEW_INSTALLATION, InstallQuery);
}
else
{
Log.d(TAG, "Waiting current installation process");
InstallCallbackInterface WaitQuery = new InstallCallbackInterface() {
private LoaderCallbackInterface mUserAppCallback = Callback;
public String getPackageName()
{
return "OpenCV Manager";
}
public void install()
{
Log.e(TAG, "Nothing to install we just wait current installation");
}
public void cancel()
{
Log.d(TAG, "Waiting for OpenCV canceled by user");
mServiceInstallationProgress = false;
int Status = LoaderCallbackInterface.INSTALL_CANCELED;
Log.d(TAG, "Init finished with status " + Status);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(Status);
}
public void wait_install()
{
InstallServiceQuiet(AppContext);
}
};
Callback.onPackageInstall(InstallCallbackInterface.INSTALLATION_PROGRESS, WaitQuery);
}
}
/**
* URL of OpenCV Manager page on Google Play Market.
*/
protected static final String OPEN_CV_SERVICE_URL = "market://details?id=org.opencv.engine";
protected ServiceConnection mServiceConnection = new ServiceConnection()
{
public void onServiceConnected(ComponentName className, IBinder service)
{
Log.d(TAG, "Service connection created");
mEngineService = OpenCVEngineInterface.Stub.asInterface(service);
if (null == mEngineService)
{
Log.d(TAG, "OpenCV Manager Service connection fails. May be service was not installed?");
InstallService(mAppContext, mUserAppCallback);
}
else
{
mServiceInstallationProgress = false;
try
{
if (mEngineService.getEngineVersion() < MINIMUM_ENGINE_VERSION)
{
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INCOMPATIBLE_MANAGER_VERSION);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INCOMPATIBLE_MANAGER_VERSION);
return;
}
Log.d(TAG, "Trying to get library path");
String path = mEngineService.getLibPathByVersion(mOpenCVersion);
if ((null == path) || (path.length() == 0))
{
if (!mLibraryInstallationProgress)
{
InstallCallbackInterface InstallQuery = new InstallCallbackInterface() {
public String getPackageName()
{
return "OpenCV library";
}
public void install() {
Log.d(TAG, "Trying to install OpenCV lib via Google Play");
try
{
if (mEngineService.installVersion(mOpenCVersion))
{
mLibraryInstallationProgress = true;
Log.d(TAG, "Package installation started");
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
}
else
{
Log.d(TAG, "OpenCV package was not installed!");
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.MARKET_ERROR);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.MARKET_ERROR);
}
} catch (RemoteException e) {
e.printStackTrace();;
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INIT_FAILED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INIT_FAILED);
}
}
public void cancel() {
Log.d(TAG, "OpenCV library installation was canceled");
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INSTALL_CANCELED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INSTALL_CANCELED);
}
public void wait_install() {
Log.e(TAG, "Installation was not started! Nothing to wait!");
}
};
mUserAppCallback.onPackageInstall(InstallCallbackInterface.NEW_INSTALLATION, InstallQuery);
}
else
{
InstallCallbackInterface WaitQuery = new InstallCallbackInterface() {
public String getPackageName()
{
return "OpenCV library";
}
public void install() {
Log.e(TAG, "Nothing to install we just wait current installation");
}
public void cancel()
{
Log.d(TAG, "OpenCV library installation was canceled");
mLibraryInstallationProgress = false;
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INSTALL_CANCELED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INSTALL_CANCELED);
}
public void wait_install() {
Log.d(TAG, "Waiting for current installation");
try
{
if (!mEngineService.installVersion(mOpenCVersion))
{
Log.d(TAG, "OpenCV package was not installed!");
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.MARKET_ERROR);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.MARKET_ERROR);
}
else
{
Log.d(TAG, "Wating for package installation");
}
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
} catch (RemoteException e) {
e.printStackTrace();
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INIT_FAILED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INIT_FAILED);
}
}
};
mUserAppCallback.onPackageInstall(InstallCallbackInterface.INSTALLATION_PROGRESS, WaitQuery);
}
return;
}
else
{
Log.d(TAG, "Trying to get library list");
mLibraryInstallationProgress = false;
String libs = mEngineService.getLibraryList(mOpenCVersion);
Log.d(TAG, "Library list: \"" + libs + "\"");
Log.d(TAG, "First attempt to load libs");
int status;
if (initOpenCVLibs(path, libs))
{
Log.d(TAG, "First attempt to load libs is OK");
String eol = System.getProperty("line.separator");
for (String str : Core.getBuildInformation().split(eol))
Log.i(TAG, str);
status = LoaderCallbackInterface.SUCCESS;
}
else
{
Log.d(TAG, "First attempt to load libs fails");
status = LoaderCallbackInterface.INIT_FAILED;
}
Log.d(TAG, "Init finished with status " + status);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(status);
}
}
catch (RemoteException e)
{
e.printStackTrace();
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INIT_FAILED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INIT_FAILED);
}
}
}
public void onServiceDisconnected(ComponentName className)
{
mEngineService = null;
}
};
private boolean loadLibrary(String AbsPath)
{
boolean result = true;
Log.d(TAG, "Trying to load library " + AbsPath);
try
{
System.load(AbsPath);
Log.d(TAG, "OpenCV libs init was ok!");
}
catch(UnsatisfiedLinkError e)
{
Log.d(TAG, "Cannot load library \"" + AbsPath + "\"");
e.printStackTrace();
result = false;
}
return result;
}
private boolean initOpenCVLibs(String Path, String Libs)
{
Log.d(TAG, "Trying to init OpenCV libs");
if ((null != Path) && (Path.length() != 0))
{
boolean result = true;
if ((null != Libs) && (Libs.length() != 0))
{
Log.d(TAG, "Trying to load libs by dependency list");
StringTokenizer splitter = new StringTokenizer(Libs, ";");
while(splitter.hasMoreTokens())
{
String AbsLibraryPath = Path + File.separator + splitter.nextToken();
result &= loadLibrary(AbsLibraryPath);
}
}
else
{
// If the dependencies list is not defined or empty.
String AbsLibraryPath = Path + File.separator + "libopencv_java3.so";
result = loadLibrary(AbsLibraryPath);
}
return result;
}
else
{
Log.d(TAG, "Library path \"" + Path + "\" is empty");
return false;
}
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/BaseLoaderCallback.java
+141
View File
@@ -0,0 +1,141 @@
package org.opencv.android;
import android.app.Activity;
import android.app.AlertDialog;
import android.content.Context;
import android.content.DialogInterface;
import android.content.DialogInterface.OnClickListener;
import android.util.Log;
/**
* Basic implementation of LoaderCallbackInterface.
*/
public abstract class BaseLoaderCallback implements LoaderCallbackInterface {
public BaseLoaderCallback(Context AppContext) {
mAppContext = AppContext;
}
public void onManagerConnected(int status)
{
switch (status)
{
/** OpenCV initialization was successful. **/
case LoaderCallbackInterface.SUCCESS:
{
/** Application must override this method to handle successful library initialization. **/
} break;
/** OpenCV loader can not start Google Play Market. **/
case LoaderCallbackInterface.MARKET_ERROR:
{
Log.e(TAG, "Package installation failed!");
AlertDialog MarketErrorMessage = new AlertDialog.Builder(mAppContext).create();
MarketErrorMessage.setTitle("OpenCV Manager");
MarketErrorMessage.setMessage("Package installation failed!");
MarketErrorMessage.setCancelable(false); // This blocks the 'BACK' button
MarketErrorMessage.setButton(AlertDialog.BUTTON_POSITIVE, "OK", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
finish();
}
});
MarketErrorMessage.show();
} break;
/** Package installation has been canceled. **/
case LoaderCallbackInterface.INSTALL_CANCELED:
{
Log.d(TAG, "OpenCV library installation was canceled by user");
finish();
} break;
/** Application is incompatible with this version of OpenCV Manager. Possibly, a service update is required. **/
case LoaderCallbackInterface.INCOMPATIBLE_MANAGER_VERSION:
{
Log.d(TAG, "OpenCV Manager Service is uncompatible with this app!");
AlertDialog IncomatibilityMessage = new AlertDialog.Builder(mAppContext).create();
IncomatibilityMessage.setTitle("OpenCV Manager");
IncomatibilityMessage.setMessage("OpenCV Manager service is incompatible with this app. Try to update it via Google Play.");
IncomatibilityMessage.setCancelable(false); // This blocks the 'BACK' button
IncomatibilityMessage.setButton(AlertDialog.BUTTON_POSITIVE, "OK", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
finish();
}
});
IncomatibilityMessage.show();
} break;
/** Other status, i.e. INIT_FAILED. **/
default:
{
Log.e(TAG, "OpenCV loading failed!");
AlertDialog InitFailedDialog = new AlertDialog.Builder(mAppContext).create();
InitFailedDialog.setTitle("OpenCV error");
InitFailedDialog.setMessage("OpenCV was not initialised correctly. Application will be shut down");
InitFailedDialog.setCancelable(false); // This blocks the 'BACK' button
InitFailedDialog.setButton(AlertDialog.BUTTON_POSITIVE, "OK", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
finish();
}
});
InitFailedDialog.show();
} break;
}
}
public void onPackageInstall(final int operation, final InstallCallbackInterface callback)
{
switch (operation)
{
case InstallCallbackInterface.NEW_INSTALLATION:
{
AlertDialog InstallMessage = new AlertDialog.Builder(mAppContext).create();
InstallMessage.setTitle("Package not found");
InstallMessage.setMessage(callback.getPackageName() + " package was not found! Try to install it?");
InstallMessage.setCancelable(false); // This blocks the 'BACK' button
InstallMessage.setButton(AlertDialog.BUTTON_POSITIVE, "Yes", new OnClickListener()
{
public void onClick(DialogInterface dialog, int which)
{
callback.install();
}
});
InstallMessage.setButton(AlertDialog.BUTTON_NEGATIVE, "No", new OnClickListener() {
public void onClick(DialogInterface dialog, int which)
{
callback.cancel();
}
});
InstallMessage.show();
} break;
case InstallCallbackInterface.INSTALLATION_PROGRESS:
{
AlertDialog WaitMessage = new AlertDialog.Builder(mAppContext).create();
WaitMessage.setTitle("OpenCV is not ready");
WaitMessage.setMessage("Installation is in progress. Wait or exit?");
WaitMessage.setCancelable(false); // This blocks the 'BACK' button
WaitMessage.setButton(AlertDialog.BUTTON_POSITIVE, "Wait", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
callback.wait_install();
}
});
WaitMessage.setButton(AlertDialog.BUTTON_NEGATIVE, "Exit", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
callback.cancel();
}
});
WaitMessage.show();
} break;
}
}
void finish()
{
((Activity) mAppContext).finish();
}
protected Context mAppContext;
private final static String TAG = "OpenCVLoader/BaseLoaderCallback";
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/Camera2Renderer.java
+302
View File
@@ -0,0 +1,302 @@
package org.opencv.android;
import java.util.Arrays;
import java.util.concurrent.Semaphore;
import java.util.concurrent.TimeUnit;
import android.annotation.TargetApi;
import android.content.Context;
import android.graphics.SurfaceTexture;
import android.hardware.camera2.CameraAccessException;
import android.hardware.camera2.CameraCaptureSession;
import android.hardware.camera2.CameraCharacteristics;
import android.hardware.camera2.CameraDevice;
import android.hardware.camera2.CameraManager;
import android.hardware.camera2.CaptureRequest;
import android.hardware.camera2.params.StreamConfigurationMap;
import android.os.Handler;
import android.os.HandlerThread;
import android.util.Log;
import android.util.Size;
import android.view.Surface;
@TargetApi(21)
public class Camera2Renderer extends CameraGLRendererBase {
protected final String LOGTAG = "Camera2Renderer";
private CameraDevice mCameraDevice;
private CameraCaptureSession mCaptureSession;
private CaptureRequest.Builder mPreviewRequestBuilder;
private String mCameraID;
private Size mPreviewSize = new Size(-1, -1);
private HandlerThread mBackgroundThread;
private Handler mBackgroundHandler;
private Semaphore mCameraOpenCloseLock = new Semaphore(1);
Camera2Renderer(CameraGLSurfaceView view) {
super(view);
}
@Override
protected void doStart() {
Log.d(LOGTAG, "doStart");
startBackgroundThread();
super.doStart();
}
@Override
protected void doStop() {
Log.d(LOGTAG, "doStop");
super.doStop();
stopBackgroundThread();
}
boolean cacPreviewSize(final int width, final int height) {
Log.i(LOGTAG, "cacPreviewSize: "+width+"x"+height);
if(mCameraID == null) {
Log.e(LOGTAG, "Camera isn't initialized!");
return false;
}
CameraManager manager = (CameraManager) mView.getContext()
.getSystemService(Context.CAMERA_SERVICE);
try {
CameraCharacteristics characteristics = manager
.getCameraCharacteristics(mCameraID);
StreamConfigurationMap map = characteristics
.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP);
int bestWidth = 0, bestHeight = 0;
float aspect = (float)width / height;
for (Size psize : map.getOutputSizes(SurfaceTexture.class)) {
int w = psize.getWidth(), h = psize.getHeight();
Log.d(LOGTAG, "trying size: "+w+"x"+h);
if ( width >= w && height >= h &&
bestWidth <= w && bestHeight <= h &&
Math.abs(aspect - (float)w/h) < 0.2 ) {
bestWidth = w;
bestHeight = h;
}
}
Log.i(LOGTAG, "best size: "+bestWidth+"x"+bestHeight);
if( bestWidth == 0 || bestHeight == 0 ||
mPreviewSize.getWidth() == bestWidth &&
mPreviewSize.getHeight() == bestHeight )
return false;
else {
mPreviewSize = new Size(bestWidth, bestHeight);
return true;
}
} catch (CameraAccessException e) {
Log.e(LOGTAG, "cacPreviewSize - Camera Access Exception");
} catch (IllegalArgumentException e) {
Log.e(LOGTAG, "cacPreviewSize - Illegal Argument Exception");
} catch (SecurityException e) {
Log.e(LOGTAG, "cacPreviewSize - Security Exception");
}
return false;
}
@Override
protected void openCamera(int id) {
Log.i(LOGTAG, "openCamera");
CameraManager manager = (CameraManager) mView.getContext().getSystemService(Context.CAMERA_SERVICE);
try {
String camList[] = manager.getCameraIdList();
if(camList.length == 0) {
Log.e(LOGTAG, "Error: camera isn't detected.");
return;
}
if(id == CameraBridgeViewBase.CAMERA_ID_ANY) {
mCameraID = camList[0];
} else {
for (String cameraID : camList) {
CameraCharacteristics characteristics = manager.getCameraCharacteristics(cameraID);
if( id == CameraBridgeViewBase.CAMERA_ID_BACK &&
characteristics.get(CameraCharacteristics.LENS_FACING) == CameraCharacteristics.LENS_FACING_BACK ||
id == CameraBridgeViewBase.CAMERA_ID_FRONT &&
characteristics.get(CameraCharacteristics.LENS_FACING) == CameraCharacteristics.LENS_FACING_FRONT) {
mCameraID = cameraID;
break;
}
}
}
if(mCameraID != null) {
if (!mCameraOpenCloseLock.tryAcquire(2500, TimeUnit.MILLISECONDS)) {
throw new RuntimeException(
"Time out waiting to lock camera opening.");
}
Log.i(LOGTAG, "Opening camera: " + mCameraID);
manager.openCamera(mCameraID, mStateCallback, mBackgroundHandler);
}
} catch (CameraAccessException e) {
Log.e(LOGTAG, "OpenCamera - Camera Access Exception");
} catch (IllegalArgumentException e) {
Log.e(LOGTAG, "OpenCamera - Illegal Argument Exception");
} catch (SecurityException e) {
Log.e(LOGTAG, "OpenCamera - Security Exception");
} catch (InterruptedException e) {
Log.e(LOGTAG, "OpenCamera - Interrupted Exception");
}
}
@Override
protected void closeCamera() {
Log.i(LOGTAG, "closeCamera");
try {
mCameraOpenCloseLock.acquire();
if (null != mCaptureSession) {
mCaptureSession.close();
mCaptureSession = null;
}
if (null != mCameraDevice) {
mCameraDevice.close();
mCameraDevice = null;
}
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted while trying to lock camera closing.", e);
} finally {
mCameraOpenCloseLock.release();
}
}
private final CameraDevice.StateCallback mStateCallback = new CameraDevice.StateCallback() {
@Override
public void onOpened(CameraDevice cameraDevice) {
mCameraDevice = cameraDevice;
mCameraOpenCloseLock.release();
createCameraPreviewSession();
}
@Override
public void onDisconnected(CameraDevice cameraDevice) {
cameraDevice.close();
mCameraDevice = null;
mCameraOpenCloseLock.release();
}
@Override
public void onError(CameraDevice cameraDevice, int error) {
cameraDevice.close();
mCameraDevice = null;
mCameraOpenCloseLock.release();
}
};
private void createCameraPreviewSession() {
int w=mPreviewSize.getWidth(), h=mPreviewSize.getHeight();
Log.i(LOGTAG, "createCameraPreviewSession("+w+"x"+h+")");
if(w<0 || h<0)
return;
try {
mCameraOpenCloseLock.acquire();
if (null == mCameraDevice) {
mCameraOpenCloseLock.release();
Log.e(LOGTAG, "createCameraPreviewSession: camera isn't opened");
return;
}
if (null != mCaptureSession) {
mCameraOpenCloseLock.release();
Log.e(LOGTAG, "createCameraPreviewSession: mCaptureSession is already started");
return;
}
if(null == mSTexture) {
mCameraOpenCloseLock.release();
Log.e(LOGTAG, "createCameraPreviewSession: preview SurfaceTexture is null");
return;
}
mSTexture.setDefaultBufferSize(w, h);
Surface surface = new Surface(mSTexture);
mPreviewRequestBuilder = mCameraDevice
.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
mPreviewRequestBuilder.addTarget(surface);
mCameraDevice.createCaptureSession(Arrays.asList(surface),
new CameraCaptureSession.StateCallback() {
@Override
public void onConfigured( CameraCaptureSession cameraCaptureSession) {
mCaptureSession = cameraCaptureSession;
try {
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE, CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AE_MODE, CaptureRequest.CONTROL_AE_MODE_ON_AUTO_FLASH);
mCaptureSession.setRepeatingRequest(mPreviewRequestBuilder.build(), null, mBackgroundHandler);
Log.i(LOGTAG, "CameraPreviewSession has been started");
} catch (CameraAccessException e) {
Log.e(LOGTAG, "createCaptureSession failed");
}
mCameraOpenCloseLock.release();
}
@Override
public void onConfigureFailed(
CameraCaptureSession cameraCaptureSession) {
Log.e(LOGTAG, "createCameraPreviewSession failed");
mCameraOpenCloseLock.release();
}
}, mBackgroundHandler);
} catch (CameraAccessException e) {
Log.e(LOGTAG, "createCameraPreviewSession");
} catch (InterruptedException e) {
throw new RuntimeException(
"Interrupted while createCameraPreviewSession", e);
}
finally {
//mCameraOpenCloseLock.release();
}
}
private void startBackgroundThread() {
Log.i(LOGTAG, "startBackgroundThread");
stopBackgroundThread();
mBackgroundThread = new HandlerThread("CameraBackground");
mBackgroundThread.start();
mBackgroundHandler = new Handler(mBackgroundThread.getLooper());
}
private void stopBackgroundThread() {
Log.i(LOGTAG, "stopBackgroundThread");
if(mBackgroundThread == null)
return;
mBackgroundThread.quitSafely();
try {
mBackgroundThread.join();
mBackgroundThread = null;
mBackgroundHandler = null;
} catch (InterruptedException e) {
Log.e(LOGTAG, "stopBackgroundThread");
}
}
@Override
protected void setCameraPreviewSize(int width, int height) {
Log.i(LOGTAG, "setCameraPreviewSize("+width+"x"+height+")");
if(mMaxCameraWidth > 0 && mMaxCameraWidth < width) width = mMaxCameraWidth;
if(mMaxCameraHeight > 0 && mMaxCameraHeight < height) height = mMaxCameraHeight;
try {
mCameraOpenCloseLock.acquire();
boolean needReconfig = cacPreviewSize(width, height);
mCameraWidth = mPreviewSize.getWidth();
mCameraHeight = mPreviewSize.getHeight();
if( !needReconfig ) {
mCameraOpenCloseLock.release();
return;
}
if (null != mCaptureSession) {
Log.d(LOGTAG, "closing existing previewSession");
mCaptureSession.close();
mCaptureSession = null;
}
mCameraOpenCloseLock.release();
createCameraPreviewSession();
} catch (InterruptedException e) {
mCameraOpenCloseLock.release();
throw new RuntimeException("Interrupted while setCameraPreviewSize.", e);
}
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/CameraBridgeViewBase.java
+495
View File
@@ -0,0 +1,495 @@
package org.opencv.android;
import java.util.List;
import org.opencv.BuildConfig;
import org.opencv.R;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import android.app.Activity;
import android.app.AlertDialog;
import android.content.Context;
import android.content.DialogInterface;
import android.content.res.TypedArray;
import android.graphics.Bitmap;
import android.graphics.Canvas;
import android.graphics.Rect;
import android.util.AttributeSet;
import android.util.Log;
import android.view.SurfaceHolder;
import android.view.SurfaceView;
/**
* This is a basic class, implementing the interaction with Camera and OpenCV library.
* The main responsibility of it - is to control when camera can be enabled, process the frame,
* call external listener to make any adjustments to the frame and then draw the resulting
* frame to the screen.
* The clients shall implement CvCameraViewListener.
*/
public abstract class CameraBridgeViewBase extends SurfaceView implements SurfaceHolder.Callback {
private static final String TAG = "CameraBridge";
private static final int MAX_UNSPECIFIED = -1;
private static final int STOPPED = 0;
private static final int STARTED = 1;
private int mState = STOPPED;
private Bitmap mCacheBitmap;
private CvCameraViewListener2 mListener;
private boolean mSurfaceExist;
private final Object mSyncObject = new Object();
protected int mFrameWidth;
protected int mFrameHeight;
protected int mMaxHeight;
protected int mMaxWidth;
protected float mScale = 0;
protected int mPreviewFormat = RGBA;
protected int mCameraIndex = CAMERA_ID_ANY;
protected boolean mEnabled;
protected FpsMeter mFpsMeter = null;
public static final int CAMERA_ID_ANY = -1;
public static final int CAMERA_ID_BACK = 99;
public static final int CAMERA_ID_FRONT = 98;
public static final int RGBA = 1;
public static final int GRAY = 2;
public CameraBridgeViewBase(Context context, int cameraId) {
super(context);
mCameraIndex = cameraId;
getHolder().addCallback(this);
mMaxWidth = MAX_UNSPECIFIED;
mMaxHeight = MAX_UNSPECIFIED;
}
public CameraBridgeViewBase(Context context, AttributeSet attrs) {
super(context, attrs);
int count = attrs.getAttributeCount();
Log.d(TAG, "Attr count: " + Integer.valueOf(count));
TypedArray styledAttrs = getContext().obtainStyledAttributes(attrs, R.styleable.CameraBridgeViewBase);
if (styledAttrs.getBoolean(R.styleable.CameraBridgeViewBase_show_fps, false))
enableFpsMeter();
mCameraIndex = styledAttrs.getInt(R.styleable.CameraBridgeViewBase_camera_id, -1);
getHolder().addCallback(this);
mMaxWidth = MAX_UNSPECIFIED;
mMaxHeight = MAX_UNSPECIFIED;
styledAttrs.recycle();
}
/**
* Sets the camera index
* @param cameraIndex new camera index
*/
public void setCameraIndex(int cameraIndex) {
this.mCameraIndex = cameraIndex;
}
public interface CvCameraViewListener {
/**
* This method is invoked when camera preview has started. After this method is invoked
* the frames will start to be delivered to client via the onCameraFrame() callback.
* @param width - the width of the frames that will be delivered
* @param height - the height of the frames that will be delivered
*/
public void onCameraViewStarted(int width, int height);
/**
* This method is invoked when camera preview has been stopped for some reason.
* No frames will be delivered via onCameraFrame() callback after this method is called.
*/
public void onCameraViewStopped();
/**
* This method is invoked when delivery of the frame needs to be done.
* The returned values - is a modified frame which needs to be displayed on the screen.
* TODO: pass the parameters specifying the format of the frame (BPP, YUV or RGB and etc)
*/
public Mat onCameraFrame(Mat inputFrame);
}
public interface CvCameraViewListener2 {
/**
* This method is invoked when camera preview has started. After this method is invoked
* the frames will start to be delivered to client via the onCameraFrame() callback.
* @param width - the width of the frames that will be delivered
* @param height - the height of the frames that will be delivered
*/
public void onCameraViewStarted(int width, int height);
/**
* This method is invoked when camera preview has been stopped for some reason.
* No frames will be delivered via onCameraFrame() callback after this method is called.
*/
public void onCameraViewStopped();
/**
* This method is invoked when delivery of the frame needs to be done.
* The returned values - is a modified frame which needs to be displayed on the screen.
* TODO: pass the parameters specifying the format of the frame (BPP, YUV or RGB and etc)
*/
public Mat onCameraFrame(CvCameraViewFrame inputFrame);
};
protected class CvCameraViewListenerAdapter implements CvCameraViewListener2 {
public CvCameraViewListenerAdapter(CvCameraViewListener oldStypeListener) {
mOldStyleListener = oldStypeListener;
}
public void onCameraViewStarted(int width, int height) {
mOldStyleListener.onCameraViewStarted(width, height);
}
public void onCameraViewStopped() {
mOldStyleListener.onCameraViewStopped();
}
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
Mat result = null;
switch (mPreviewFormat) {
case RGBA:
result = mOldStyleListener.onCameraFrame(inputFrame.rgba());
break;
case GRAY:
result = mOldStyleListener.onCameraFrame(inputFrame.gray());
break;
default:
Log.e(TAG, "Invalid frame format! Only RGBA and Gray Scale are supported!");
};
return result;
}
public void setFrameFormat(int format) {
mPreviewFormat = format;
}
private int mPreviewFormat = RGBA;
private CvCameraViewListener mOldStyleListener;
};
/**
* This class interface is abstract representation of single frame from camera for onCameraFrame callback
* Attention: Do not use objects, that represents this interface out of onCameraFrame callback!
*/
public interface CvCameraViewFrame {
/**
* This method returns RGBA Mat with frame
*/
public Mat rgba();
/**
* This method returns single channel gray scale Mat with frame
*/
public Mat gray();
};
public void surfaceChanged(SurfaceHolder arg0, int arg1, int arg2, int arg3) {
Log.d(TAG, "call surfaceChanged event");
synchronized(mSyncObject) {
if (!mSurfaceExist) {
mSurfaceExist = true;
checkCurrentState();
} else {
/** Surface changed. We need to stop camera and restart with new parameters */
/* Pretend that old surface has been destroyed */
mSurfaceExist = false;
checkCurrentState();
/* Now use new surface. Say we have it now */
mSurfaceExist = true;
checkCurrentState();
}
}
}
public void surfaceCreated(SurfaceHolder holder) {
/* Do nothing. Wait until surfaceChanged delivered */
}
public void surfaceDestroyed(SurfaceHolder holder) {
synchronized(mSyncObject) {
mSurfaceExist = false;
checkCurrentState();
}
}
/**
* This method is provided for clients, so they can enable the camera connection.
* The actual onCameraViewStarted callback will be delivered only after both this method is called and surface is available
*/
public void enableView() {
synchronized(mSyncObject) {
mEnabled = true;
checkCurrentState();
}
}
/**
* This method is provided for clients, so they can disable camera connection and stop
* the delivery of frames even though the surface view itself is not destroyed and still stays on the scren
*/
public void disableView() {
synchronized(mSyncObject) {
mEnabled = false;
checkCurrentState();
}
}
/**
* This method enables label with fps value on the screen
*/
public void enableFpsMeter() {
if (mFpsMeter == null) {
mFpsMeter = new FpsMeter();
mFpsMeter.setResolution(mFrameWidth, mFrameHeight);
}
}
public void disableFpsMeter() {
mFpsMeter = null;
}
/**
*
* @param listener
*/
public void setCvCameraViewListener(CvCameraViewListener2 listener) {
mListener = listener;
}
public void setCvCameraViewListener(CvCameraViewListener listener) {
CvCameraViewListenerAdapter adapter = new CvCameraViewListenerAdapter(listener);
adapter.setFrameFormat(mPreviewFormat);
mListener = adapter;
}
/**
* This method sets the maximum size that camera frame is allowed to be. When selecting
* size - the biggest size which less or equal the size set will be selected.
* As an example - we set setMaxFrameSize(200,200) and we have 176x152 and 320x240 sizes. The
* preview frame will be selected with 176x152 size.
* This method is useful when need to restrict the size of preview frame for some reason (for example for video recording)
* @param maxWidth - the maximum width allowed for camera frame.
* @param maxHeight - the maximum height allowed for camera frame
*/
public void setMaxFrameSize(int maxWidth, int maxHeight) {
mMaxWidth = maxWidth;
mMaxHeight = maxHeight;
}
public void SetCaptureFormat(int format)
{
mPreviewFormat = format;
if (mListener instanceof CvCameraViewListenerAdapter) {
CvCameraViewListenerAdapter adapter = (CvCameraViewListenerAdapter) mListener;
adapter.setFrameFormat(mPreviewFormat);
}
}
/**
* Called when mSyncObject lock is held
*/
private void checkCurrentState() {
Log.d(TAG, "call checkCurrentState");
int targetState;
if (mEnabled && mSurfaceExist && getVisibility() == VISIBLE) {
targetState = STARTED;
} else {
targetState = STOPPED;
}
if (targetState != mState) {
/* The state change detected. Need to exit the current state and enter target state */
processExitState(mState);
mState = targetState;
processEnterState(mState);
}
}
private void processEnterState(int state) {
Log.d(TAG, "call processEnterState: " + state);
switch(state) {
case STARTED:
onEnterStartedState();
if (mListener != null) {
mListener.onCameraViewStarted(mFrameWidth, mFrameHeight);
}
break;
case STOPPED:
onEnterStoppedState();
if (mListener != null) {
mListener.onCameraViewStopped();
}
break;
};
}
private void processExitState(int state) {
Log.d(TAG, "call processExitState: " + state);
switch(state) {
case STARTED:
onExitStartedState();
break;
case STOPPED:
onExitStoppedState();
break;
};
}
private void onEnterStoppedState() {
/* nothing to do */
}
private void onExitStoppedState() {
/* nothing to do */
}
// NOTE: The order of bitmap constructor and camera connection is important for android 4.1.x
// Bitmap must be constructed before surface
private void onEnterStartedState() {
Log.d(TAG, "call onEnterStartedState");
/* Connect camera */
if (!connectCamera(getWidth(), getHeight())) {
AlertDialog ad = new AlertDialog.Builder(getContext()).create();
ad.setCancelable(false); // This blocks the 'BACK' button
ad.setMessage("It seems that you device does not support camera (or it is locked). Application will be closed.");
ad.setButton(DialogInterface.BUTTON_NEUTRAL, "OK", new DialogInterface.OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
dialog.dismiss();
((Activity) getContext()).finish();
}
});
ad.show();
}
}
private void onExitStartedState() {
disconnectCamera();
if (mCacheBitmap != null) {
mCacheBitmap.recycle();
}
}
/**
* This method shall be called by the subclasses when they have valid
* object and want it to be delivered to external client (via callback) and
* then displayed on the screen.
* @param frame - the current frame to be delivered
*/
protected void deliverAndDrawFrame(CvCameraViewFrame frame) {
Mat modified;
if (mListener != null) {
modified = mListener.onCameraFrame(frame);
} else {
modified = frame.rgba();
}
boolean bmpValid = true;
if (modified != null) {
try {
Utils.matToBitmap(modified, mCacheBitmap);
} catch(Exception e) {
Log.e(TAG, "Mat type: " + modified);
Log.e(TAG, "Bitmap type: " + mCacheBitmap.getWidth() + "*" + mCacheBitmap.getHeight());
Log.e(TAG, "Utils.matToBitmap() throws an exception: " + e.getMessage());
bmpValid = false;
}
}
if (bmpValid && mCacheBitmap != null) {
Canvas canvas = getHolder().lockCanvas();
if (canvas != null) {
canvas.drawColor(0, android.graphics.PorterDuff.Mode.CLEAR);
if (BuildConfig.DEBUG)
Log.d(TAG, "mStretch value: " + mScale);
if (mScale != 0) {
canvas.drawBitmap(mCacheBitmap, new Rect(0,0,mCacheBitmap.getWidth(), mCacheBitmap.getHeight()),
new Rect((int)((canvas.getWidth() - mScale*mCacheBitmap.getWidth()) / 2),
(int)((canvas.getHeight() - mScale*mCacheBitmap.getHeight()) / 2),
(int)((canvas.getWidth() - mScale*mCacheBitmap.getWidth()) / 2 + mScale*mCacheBitmap.getWidth()),
(int)((canvas.getHeight() - mScale*mCacheBitmap.getHeight()) / 2 + mScale*mCacheBitmap.getHeight())), null);
} else {
canvas.drawBitmap(mCacheBitmap, new Rect(0,0,mCacheBitmap.getWidth(), mCacheBitmap.getHeight()),
new Rect((canvas.getWidth() - mCacheBitmap.getWidth()) / 2,
(canvas.getHeight() - mCacheBitmap.getHeight()) / 2,
(canvas.getWidth() - mCacheBitmap.getWidth()) / 2 + mCacheBitmap.getWidth(),
(canvas.getHeight() - mCacheBitmap.getHeight()) / 2 + mCacheBitmap.getHeight()), null);
}
if (mFpsMeter != null) {
mFpsMeter.measure();
mFpsMeter.draw(canvas, 20, 30);
}
getHolder().unlockCanvasAndPost(canvas);
}
}
}
/**
* This method is invoked shall perform concrete operation to initialize the camera.
* CONTRACT: as a result of this method variables mFrameWidth and mFrameHeight MUST be
* initialized with the size of the Camera frames that will be delivered to external processor.
* @param width - the width of this SurfaceView
* @param height - the height of this SurfaceView
*/
protected abstract boolean connectCamera(int width, int height);
/**
* Disconnects and release the particular camera object being connected to this surface view.
* Called when syncObject lock is held
*/
protected abstract void disconnectCamera();
// NOTE: On Android 4.1.x the function must be called before SurfaceTexture constructor!
protected void AllocateCache()
{
mCacheBitmap = Bitmap.createBitmap(mFrameWidth, mFrameHeight, Bitmap.Config.ARGB_8888);
}
public interface ListItemAccessor {
public int getWidth(Object obj);
public int getHeight(Object obj);
};
/**
* This helper method can be called by subclasses to select camera preview size.
* It goes over the list of the supported preview sizes and selects the maximum one which
* fits both values set via setMaxFrameSize() and surface frame allocated for this view
* @param supportedSizes
* @param surfaceWidth
* @param surfaceHeight
* @return optimal frame size
*/
protected Size calculateCameraFrameSize(List<?> supportedSizes, ListItemAccessor accessor, int surfaceWidth, int surfaceHeight) {
int calcWidth = 0;
int calcHeight = 0;
int maxAllowedWidth = (mMaxWidth != MAX_UNSPECIFIED && mMaxWidth < surfaceWidth)? mMaxWidth : surfaceWidth;
int maxAllowedHeight = (mMaxHeight != MAX_UNSPECIFIED && mMaxHeight < surfaceHeight)? mMaxHeight : surfaceHeight;
for (Object size : supportedSizes) {
int width = accessor.getWidth(size);
int height = accessor.getHeight(size);
if (width <= maxAllowedWidth && height <= maxAllowedHeight) {
if (width >= calcWidth && height >= calcHeight) {
calcWidth = (int) width;
calcHeight = (int) height;
}
}
}
return new Size(calcWidth, calcHeight);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/CameraGLRendererBase.java
+440
View File
@@ -0,0 +1,440 @@
package org.opencv.android;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.nio.FloatBuffer;
import javax.microedition.khronos.egl.EGLConfig;
import javax.microedition.khronos.opengles.GL10;
import org.opencv.android.CameraGLSurfaceView.CameraTextureListener;
import android.annotation.TargetApi;
import android.graphics.SurfaceTexture;
import android.opengl.GLES11Ext;
import android.opengl.GLES20;
import android.opengl.GLSurfaceView;
import android.util.Log;
import android.view.View;
@TargetApi(15)
public abstract class CameraGLRendererBase implements GLSurfaceView.Renderer, SurfaceTexture.OnFrameAvailableListener {
protected final String LOGTAG = "CameraGLRendererBase";
// shaders
private final String vss = ""
+ "attribute vec2 vPosition;\n"
+ "attribute vec2 vTexCoord;\n" + "varying vec2 texCoord;\n"
+ "void main() {\n" + " texCoord = vTexCoord;\n"
+ " gl_Position = vec4 ( vPosition.x, vPosition.y, 0.0, 1.0 );\n"
+ "}";
private final String fssOES = ""
+ "#extension GL_OES_EGL_image_external : require\n"
+ "precision mediump float;\n"
+ "uniform samplerExternalOES sTexture;\n"
+ "varying vec2 texCoord;\n"
+ "void main() {\n"
+ " gl_FragColor = texture2D(sTexture,texCoord);\n" + "}";
private final String fss2D = ""
+ "precision mediump float;\n"
+ "uniform sampler2D sTexture;\n"
+ "varying vec2 texCoord;\n"
+ "void main() {\n"
+ " gl_FragColor = texture2D(sTexture,texCoord);\n" + "}";
// coord-s
private final float vertices[] = {
-1, -1,
-1, 1,
1, -1,
1, 1 };
private final float texCoordOES[] = {
0, 1,
0, 0,
1, 1,
1, 0 };
private final float texCoord2D[] = {
0, 0,
0, 1,
1, 0,
1, 1 };
private int[] texCamera = {0}, texFBO = {0}, texDraw = {0};
private int[] FBO = {0};
private int progOES = -1, prog2D = -1;
private int vPosOES, vTCOES, vPos2D, vTC2D;
private FloatBuffer vert, texOES, tex2D;
protected int mCameraWidth = -1, mCameraHeight = -1;
protected int mFBOWidth = -1, mFBOHeight = -1;
protected int mMaxCameraWidth = -1, mMaxCameraHeight = -1;
protected int mCameraIndex = CameraBridgeViewBase.CAMERA_ID_ANY;
protected SurfaceTexture mSTexture;
protected boolean mHaveSurface = false;
protected boolean mHaveFBO = false;
protected boolean mUpdateST = false;
protected boolean mEnabled = true;
protected boolean mIsStarted = false;
protected CameraGLSurfaceView mView;
protected abstract void openCamera(int id);
protected abstract void closeCamera();
protected abstract void setCameraPreviewSize(int width, int height); // updates mCameraWidth & mCameraHeight
public CameraGLRendererBase(CameraGLSurfaceView view) {
mView = view;
int bytes = vertices.length * Float.SIZE / Byte.SIZE;
vert = ByteBuffer.allocateDirect(bytes).order(ByteOrder.nativeOrder()).asFloatBuffer();
texOES = ByteBuffer.allocateDirect(bytes).order(ByteOrder.nativeOrder()).asFloatBuffer();
tex2D = ByteBuffer.allocateDirect(bytes).order(ByteOrder.nativeOrder()).asFloatBuffer();
vert.put(vertices).position(0);
texOES.put(texCoordOES).position(0);
tex2D.put(texCoord2D).position(0);
}
@Override
public synchronized void onFrameAvailable(SurfaceTexture surfaceTexture) {
//Log.i(LOGTAG, "onFrameAvailable");
mUpdateST = true;
mView.requestRender();
}
@Override
public void onDrawFrame(GL10 gl) {
//Log.i(LOGTAG, "onDrawFrame start");
if (!mHaveFBO)
return;
synchronized(this) {
if (mUpdateST) {
mSTexture.updateTexImage();
mUpdateST = false;
}
GLES20.glClear(GLES20.GL_COLOR_BUFFER_BIT);
CameraTextureListener texListener = mView.getCameraTextureListener();
if(texListener != null) {
//Log.d(LOGTAG, "haveUserCallback");
// texCamera(OES) -> texFBO
drawTex(texCamera[0], true, FBO[0]);
// call user code (texFBO -> texDraw)
boolean modified = texListener.onCameraTexture(texFBO[0], texDraw[0], mCameraWidth, mCameraHeight);
if(modified) {
// texDraw -> screen
drawTex(texDraw[0], false, 0);
} else {
// texFBO -> screen
drawTex(texFBO[0], false, 0);
}
} else {
Log.d(LOGTAG, "texCamera(OES) -> screen");
// texCamera(OES) -> screen
drawTex(texCamera[0], true, 0);
}
//Log.i(LOGTAG, "onDrawFrame end");
}
}
@Override
public void onSurfaceChanged(GL10 gl, int surfaceWidth, int surfaceHeight) {
Log.i(LOGTAG, "onSurfaceChanged("+surfaceWidth+"x"+surfaceHeight+")");
mHaveSurface = true;
updateState();
setPreviewSize(surfaceWidth, surfaceHeight);
}
@Override
public void onSurfaceCreated(GL10 gl, EGLConfig config) {
Log.i(LOGTAG, "onSurfaceCreated");
initShaders();
}
private void initShaders() {
String strGLVersion = GLES20.glGetString(GLES20.GL_VERSION);
if (strGLVersion != null)
Log.i(LOGTAG, "OpenGL ES version: " + strGLVersion);
GLES20.glClearColor(1.0f, 1.0f, 1.0f, 1.0f);
progOES = loadShader(vss, fssOES);
vPosOES = GLES20.glGetAttribLocation(progOES, "vPosition");
vTCOES = GLES20.glGetAttribLocation(progOES, "vTexCoord");
GLES20.glEnableVertexAttribArray(vPosOES);
GLES20.glEnableVertexAttribArray(vTCOES);
prog2D = loadShader(vss, fss2D);
vPos2D = GLES20.glGetAttribLocation(prog2D, "vPosition");
vTC2D = GLES20.glGetAttribLocation(prog2D, "vTexCoord");
GLES20.glEnableVertexAttribArray(vPos2D);
GLES20.glEnableVertexAttribArray(vTC2D);
}
private void initSurfaceTexture() {
Log.d(LOGTAG, "initSurfaceTexture");
deleteSurfaceTexture();
initTexOES(texCamera);
mSTexture = new SurfaceTexture(texCamera[0]);
mSTexture.setOnFrameAvailableListener(this);
}
private void deleteSurfaceTexture() {
Log.d(LOGTAG, "deleteSurfaceTexture");
if(mSTexture != null) {
mSTexture.release();
mSTexture = null;
deleteTex(texCamera);
}
}
private void initTexOES(int[] tex) {
if(tex.length == 1) {
GLES20.glGenTextures(1, tex, 0);
GLES20.glBindTexture(GLES11Ext.GL_TEXTURE_EXTERNAL_OES, tex[0]);
GLES20.glTexParameteri(GLES11Ext.GL_TEXTURE_EXTERNAL_OES, GLES20.GL_TEXTURE_WRAP_S, GLES20.GL_CLAMP_TO_EDGE);
GLES20.glTexParameteri(GLES11Ext.GL_TEXTURE_EXTERNAL_OES, GLES20.GL_TEXTURE_WRAP_T, GLES20.GL_CLAMP_TO_EDGE);
GLES20.glTexParameteri(GLES11Ext.GL_TEXTURE_EXTERNAL_OES, GLES20.GL_TEXTURE_MIN_FILTER, GLES20.GL_NEAREST);
GLES20.glTexParameteri(GLES11Ext.GL_TEXTURE_EXTERNAL_OES, GLES20.GL_TEXTURE_MAG_FILTER, GLES20.GL_NEAREST);
}
}
private static void deleteTex(int[] tex) {
if(tex.length == 1) {
GLES20.glDeleteTextures(1, tex, 0);
}
}
private static int loadShader(String vss, String fss) {
Log.d("CameraGLRendererBase", "loadShader");
int vshader = GLES20.glCreateShader(GLES20.GL_VERTEX_SHADER);
GLES20.glShaderSource(vshader, vss);
GLES20.glCompileShader(vshader);
int[] status = new int[1];
GLES20.glGetShaderiv(vshader, GLES20.GL_COMPILE_STATUS, status, 0);
if (status[0] == 0) {
Log.e("CameraGLRendererBase", "Could not compile vertex shader: "+GLES20.glGetShaderInfoLog(vshader));
GLES20.glDeleteShader(vshader);
vshader = 0;
return 0;
}
int fshader = GLES20.glCreateShader(GLES20.GL_FRAGMENT_SHADER);
GLES20.glShaderSource(fshader, fss);
GLES20.glCompileShader(fshader);
GLES20.glGetShaderiv(fshader, GLES20.GL_COMPILE_STATUS, status, 0);
if (status[0] == 0) {
Log.e("CameraGLRendererBase", "Could not compile fragment shader:"+GLES20.glGetShaderInfoLog(fshader));
GLES20.glDeleteShader(vshader);
GLES20.glDeleteShader(fshader);
fshader = 0;
return 0;
}
int program = GLES20.glCreateProgram();
GLES20.glAttachShader(program, vshader);
GLES20.glAttachShader(program, fshader);
GLES20.glLinkProgram(program);
GLES20.glDeleteShader(vshader);
GLES20.glDeleteShader(fshader);
GLES20.glGetProgramiv(program, GLES20.GL_LINK_STATUS, status, 0);
if (status[0] == 0) {
Log.e("CameraGLRendererBase", "Could not link shader program: "+GLES20.glGetProgramInfoLog(program));
program = 0;
return 0;
}
GLES20.glValidateProgram(program);
GLES20.glGetProgramiv(program, GLES20.GL_VALIDATE_STATUS, status, 0);
if (status[0] == 0)
{
Log.e("CameraGLRendererBase", "Shader program validation error: "+GLES20.glGetProgramInfoLog(program));
GLES20.glDeleteProgram(program);
program = 0;
return 0;
}
Log.d("CameraGLRendererBase", "Shader program is built OK");
return program;
}
private void deleteFBO()
{
Log.d(LOGTAG, "deleteFBO("+mFBOWidth+"x"+mFBOHeight+")");
GLES20.glBindFramebuffer(GLES20.GL_FRAMEBUFFER, 0);
GLES20.glDeleteFramebuffers(1, FBO, 0);
deleteTex(texFBO);
deleteTex(texDraw);
mFBOWidth = mFBOHeight = 0;
}
private void initFBO(int width, int height)
{
Log.d(LOGTAG, "initFBO("+width+"x"+height+")");
deleteFBO();
GLES20.glGenTextures(1, texDraw, 0);
GLES20.glBindTexture(GLES20.GL_TEXTURE_2D, texDraw[0]);
GLES20.glTexImage2D(GLES20.GL_TEXTURE_2D, 0, GLES20.GL_RGBA, width, height, 0, GLES20.GL_RGBA, GLES20.GL_UNSIGNED_BYTE, null);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_WRAP_S, GLES20.GL_CLAMP_TO_EDGE);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_WRAP_T, GLES20.GL_CLAMP_TO_EDGE);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_MIN_FILTER, GLES20.GL_NEAREST);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_MAG_FILTER, GLES20.GL_NEAREST);
GLES20.glGenTextures(1, texFBO, 0);
GLES20.glBindTexture(GLES20.GL_TEXTURE_2D, texFBO[0]);
GLES20.glTexImage2D(GLES20.GL_TEXTURE_2D, 0, GLES20.GL_RGBA, width, height, 0, GLES20.GL_RGBA, GLES20.GL_UNSIGNED_BYTE, null);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_WRAP_S, GLES20.GL_CLAMP_TO_EDGE);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_WRAP_T, GLES20.GL_CLAMP_TO_EDGE);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_MIN_FILTER, GLES20.GL_NEAREST);
GLES20.glTexParameteri(GLES20.GL_TEXTURE_2D, GLES20.GL_TEXTURE_MAG_FILTER, GLES20.GL_NEAREST);
//int hFBO;
GLES20.glGenFramebuffers(1, FBO, 0);
GLES20.glBindFramebuffer(GLES20.GL_FRAMEBUFFER, FBO[0]);
GLES20.glFramebufferTexture2D(GLES20.GL_FRAMEBUFFER, GLES20.GL_COLOR_ATTACHMENT0, GLES20.GL_TEXTURE_2D, texFBO[0], 0);
Log.d(LOGTAG, "initFBO error status: " + GLES20.glGetError());
int FBOstatus = GLES20.glCheckFramebufferStatus(GLES20.GL_FRAMEBUFFER);
if (FBOstatus != GLES20.GL_FRAMEBUFFER_COMPLETE)
Log.e(LOGTAG, "initFBO failed, status: " + FBOstatus);
mFBOWidth = width;
mFBOHeight = height;
}
// draw texture to FBO or to screen if fbo == 0
private void drawTex(int tex, boolean isOES, int fbo)
{
GLES20.glBindFramebuffer(GLES20.GL_FRAMEBUFFER, fbo);
if(fbo == 0)
GLES20.glViewport(0, 0, mView.getWidth(), mView.getHeight());
else
GLES20.glViewport(0, 0, mFBOWidth, mFBOHeight);
GLES20.glClear(GLES20.GL_COLOR_BUFFER_BIT);
if(isOES) {
GLES20.glUseProgram(progOES);
GLES20.glVertexAttribPointer(vPosOES, 2, GLES20.GL_FLOAT, false, 4*2, vert);
GLES20.glVertexAttribPointer(vTCOES, 2, GLES20.GL_FLOAT, false, 4*2, texOES);
} else {
GLES20.glUseProgram(prog2D);
GLES20.glVertexAttribPointer(vPos2D, 2, GLES20.GL_FLOAT, false, 4*2, vert);
GLES20.glVertexAttribPointer(vTC2D, 2, GLES20.GL_FLOAT, false, 4*2, tex2D);
}
GLES20.glActiveTexture(GLES20.GL_TEXTURE0);
if(isOES) {
GLES20.glBindTexture(GLES11Ext.GL_TEXTURE_EXTERNAL_OES, tex);
GLES20.glUniform1i(GLES20.glGetUniformLocation(progOES, "sTexture"), 0);
} else {
GLES20.glBindTexture(GLES20.GL_TEXTURE_2D, tex);
GLES20.glUniform1i(GLES20.glGetUniformLocation(prog2D, "sTexture"), 0);
}
GLES20.glDrawArrays(GLES20.GL_TRIANGLE_STRIP, 0, 4);
GLES20.glFlush();
}
public synchronized void enableView() {
Log.d(LOGTAG, "enableView");
mEnabled = true;
updateState();
}
public synchronized void disableView() {
Log.d(LOGTAG, "disableView");
mEnabled = false;
updateState();
}
protected void updateState() {
Log.d(LOGTAG, "updateState");
Log.d(LOGTAG, "mEnabled="+mEnabled+", mHaveSurface="+mHaveSurface);
boolean willStart = mEnabled && mHaveSurface && mView.getVisibility() == View.VISIBLE;
if (willStart != mIsStarted) {
if(willStart) doStart();
else doStop();
} else {
Log.d(LOGTAG, "keeping State unchanged");
}
Log.d(LOGTAG, "updateState end");
}
protected synchronized void doStart() {
Log.d(LOGTAG, "doStart");
initSurfaceTexture();
openCamera(mCameraIndex);
mIsStarted = true;
if(mCameraWidth>0 && mCameraHeight>0)
setPreviewSize(mCameraWidth, mCameraHeight); // start preview and call listener.onCameraViewStarted()
}
protected void doStop() {
Log.d(LOGTAG, "doStop");
synchronized(this) {
mUpdateST = false;
mIsStarted = false;
mHaveFBO = false;
closeCamera();
deleteSurfaceTexture();
}
CameraTextureListener listener = mView.getCameraTextureListener();
if(listener != null) listener.onCameraViewStopped();
}
protected void setPreviewSize(int width, int height) {
synchronized(this) {
mHaveFBO = false;
mCameraWidth = width;
mCameraHeight = height;
setCameraPreviewSize(width, height); // can change mCameraWidth & mCameraHeight
initFBO(mCameraWidth, mCameraHeight);
mHaveFBO = true;
}
CameraTextureListener listener = mView.getCameraTextureListener();
if(listener != null) listener.onCameraViewStarted(mCameraWidth, mCameraHeight);
}
public void setCameraIndex(int cameraIndex) {
disableView();
mCameraIndex = cameraIndex;
enableView();
}
public void setMaxCameraPreviewSize(int maxWidth, int maxHeight) {
disableView();
mMaxCameraWidth = maxWidth;
mMaxCameraHeight = maxHeight;
enableView();
}
public void onResume() {
Log.i(LOGTAG, "onResume");
}
public void onPause() {
Log.i(LOGTAG, "onPause");
mHaveSurface = false;
updateState();
mCameraWidth = mCameraHeight = -1;
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/CameraGLSurfaceView.java
+119
View File
@@ -0,0 +1,119 @@
package org.opencv.android;
import org.opencv.R;
import android.content.Context;
import android.content.res.TypedArray;
import android.opengl.GLSurfaceView;
import android.util.AttributeSet;
import android.util.Log;
import android.view.SurfaceHolder;
public class CameraGLSurfaceView extends GLSurfaceView {
private static final String LOGTAG = "CameraGLSurfaceView";
public interface CameraTextureListener {
/**
* This method is invoked when camera preview has started. After this method is invoked
* the frames will start to be delivered to client via the onCameraFrame() callback.
* @param width - the width of the frames that will be delivered
* @param height - the height of the frames that will be delivered
*/
public void onCameraViewStarted(int width, int height);
/**
* This method is invoked when camera preview has been stopped for some reason.
* No frames will be delivered via onCameraFrame() callback after this method is called.
*/
public void onCameraViewStopped();
/**
* This method is invoked when a new preview frame from Camera is ready.
* @param texIn - the OpenGL texture ID that contains frame in RGBA format
* @param texOut - the OpenGL texture ID that can be used to store modified frame image t display
* @param width - the width of the frame
* @param height - the height of the frame
* @return `true` if `texOut` should be displayed, `false` - to show `texIn`
*/
public boolean onCameraTexture(int texIn, int texOut, int width, int height);
};
private CameraTextureListener mTexListener;
private CameraGLRendererBase mRenderer;
public CameraGLSurfaceView(Context context, AttributeSet attrs) {
super(context, attrs);
TypedArray styledAttrs = getContext().obtainStyledAttributes(attrs, R.styleable.CameraBridgeViewBase);
int cameraIndex = styledAttrs.getInt(R.styleable.CameraBridgeViewBase_camera_id, -1);
styledAttrs.recycle();
if(android.os.Build.VERSION.SDK_INT >= 21)
mRenderer = new Camera2Renderer(this);
else
mRenderer = new CameraRenderer(this);
setCameraIndex(cameraIndex);
setEGLContextClientVersion(2);
setRenderer(mRenderer);
setRenderMode(GLSurfaceView.RENDERMODE_WHEN_DIRTY);
}
public void setCameraTextureListener(CameraTextureListener texListener)
{
mTexListener = texListener;
}
public CameraTextureListener getCameraTextureListener()
{
return mTexListener;
}
public void setCameraIndex(int cameraIndex) {
mRenderer.setCameraIndex(cameraIndex);
}
public void setMaxCameraPreviewSize(int maxWidth, int maxHeight) {
mRenderer.setMaxCameraPreviewSize(maxWidth, maxHeight);
}
@Override
public void surfaceCreated(SurfaceHolder holder) {
super.surfaceCreated(holder);
}
@Override
public void surfaceDestroyed(SurfaceHolder holder) {
mRenderer.mHaveSurface = false;
super.surfaceDestroyed(holder);
}
@Override
public void surfaceChanged(SurfaceHolder holder, int format, int w, int h) {
super.surfaceChanged(holder, format, w, h);
}
@Override
public void onResume() {
Log.i(LOGTAG, "onResume");
super.onResume();
mRenderer.onResume();
}
@Override
public void onPause() {
Log.i(LOGTAG, "onPause");
mRenderer.onPause();
super.onPause();
}
public void enableView() {
mRenderer.enableView();
}
public void disableView() {
mRenderer.disableView();
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/CameraRenderer.java
+166
View File
@@ -0,0 +1,166 @@
package org.opencv.android;
import java.io.IOException;
import java.util.List;
import android.annotation.TargetApi;
import android.hardware.Camera;
import android.hardware.Camera.Size;
import android.os.Build;
import android.util.Log;
@TargetApi(15)
@SuppressWarnings("deprecation")
public class CameraRenderer extends CameraGLRendererBase {
public static final String LOGTAG = "CameraRenderer";
private Camera mCamera;
private boolean mPreviewStarted = false;
CameraRenderer(CameraGLSurfaceView view) {
super(view);
}
@Override
protected synchronized void closeCamera() {
Log.i(LOGTAG, "closeCamera");
if(mCamera != null) {
mCamera.stopPreview();
mPreviewStarted = false;
mCamera.release();
mCamera = null;
}
}
@Override
protected synchronized void openCamera(int id) {
Log.i(LOGTAG, "openCamera");
closeCamera();
if (id == CameraBridgeViewBase.CAMERA_ID_ANY) {
Log.d(LOGTAG, "Trying to open camera with old open()");
try {
mCamera = Camera.open();
}
catch (Exception e){
Log.e(LOGTAG, "Camera is not available (in use or does not exist): " + e.getLocalizedMessage());
}
if(mCamera == null && Build.VERSION.SDK_INT >= Build.VERSION_CODES.GINGERBREAD) {
boolean connected = false;
for (int camIdx = 0; camIdx < Camera.getNumberOfCameras(); ++camIdx) {
Log.d(LOGTAG, "Trying to open camera with new open(" + camIdx + ")");
try {
mCamera = Camera.open(camIdx);
connected = true;
} catch (RuntimeException e) {
Log.e(LOGTAG, "Camera #" + camIdx + "failed to open: " + e.getLocalizedMessage());
}
if (connected) break;
}
}
} else {
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.GINGERBREAD) {
int localCameraIndex = mCameraIndex;
if (mCameraIndex == CameraBridgeViewBase.CAMERA_ID_BACK) {
Log.i(LOGTAG, "Trying to open BACK camera");
Camera.CameraInfo cameraInfo = new Camera.CameraInfo();
for (int camIdx = 0; camIdx < Camera.getNumberOfCameras(); ++camIdx) {
Camera.getCameraInfo( camIdx, cameraInfo );
if (cameraInfo.facing == Camera.CameraInfo.CAMERA_FACING_BACK) {
localCameraIndex = camIdx;
break;
}
}
} else if (mCameraIndex == CameraBridgeViewBase.CAMERA_ID_FRONT) {
Log.i(LOGTAG, "Trying to open FRONT camera");
Camera.CameraInfo cameraInfo = new Camera.CameraInfo();
for (int camIdx = 0; camIdx < Camera.getNumberOfCameras(); ++camIdx) {
Camera.getCameraInfo( camIdx, cameraInfo );
if (cameraInfo.facing == Camera.CameraInfo.CAMERA_FACING_FRONT) {
localCameraIndex = camIdx;
break;
}
}
}
if (localCameraIndex == CameraBridgeViewBase.CAMERA_ID_BACK) {
Log.e(LOGTAG, "Back camera not found!");
} else if (localCameraIndex == CameraBridgeViewBase.CAMERA_ID_FRONT) {
Log.e(LOGTAG, "Front camera not found!");
} else {
Log.d(LOGTAG, "Trying to open camera with new open(" + localCameraIndex + ")");
try {
mCamera = Camera.open(localCameraIndex);
} catch (RuntimeException e) {
Log.e(LOGTAG, "Camera #" + localCameraIndex + "failed to open: " + e.getLocalizedMessage());
}
}
}
}
if(mCamera == null) {
Log.e(LOGTAG, "Error: can't open camera");
return;
}
Camera.Parameters params = mCamera.getParameters();
List<String> FocusModes = params.getSupportedFocusModes();
if (FocusModes != null && FocusModes.contains(Camera.Parameters.FOCUS_MODE_CONTINUOUS_VIDEO))
{
params.setFocusMode(Camera.Parameters.FOCUS_MODE_CONTINUOUS_VIDEO);
}
mCamera.setParameters(params);
try {
mCamera.setPreviewTexture(mSTexture);
} catch (IOException ioe) {
Log.e(LOGTAG, "setPreviewTexture() failed: " + ioe.getMessage());
}
}
@Override
public synchronized void setCameraPreviewSize(int width, int height) {
Log.i(LOGTAG, "setCameraPreviewSize: "+width+"x"+height);
if(mCamera == null) {
Log.e(LOGTAG, "Camera isn't initialized!");
return;
}
if(mMaxCameraWidth > 0 && mMaxCameraWidth < width) width = mMaxCameraWidth;
if(mMaxCameraHeight > 0 && mMaxCameraHeight < height) height = mMaxCameraHeight;
Camera.Parameters param = mCamera.getParameters();
List<Size> psize = param.getSupportedPreviewSizes();
int bestWidth = 0, bestHeight = 0;
if (psize.size() > 0) {
float aspect = (float)width / height;
for (Size size : psize) {
int w = size.width, h = size.height;
Log.d(LOGTAG, "checking camera preview size: "+w+"x"+h);
if ( w <= width && h <= height &&
w >= bestWidth && h >= bestHeight &&
Math.abs(aspect - (float)w/h) < 0.2 ) {
bestWidth = w;
bestHeight = h;
}
}
if(bestWidth <= 0 || bestHeight <= 0) {
bestWidth = psize.get(0).width;
bestHeight = psize.get(0).height;
Log.e(LOGTAG, "Error: best size was not selected, using "+bestWidth+" x "+bestHeight);
} else {
Log.i(LOGTAG, "Selected best size: "+bestWidth+" x "+bestHeight);
}
if(mPreviewStarted) {
mCamera.stopPreview();
mPreviewStarted = false;
}
mCameraWidth = bestWidth;
mCameraHeight = bestHeight;
param.setPreviewSize(bestWidth, bestHeight);
}
param.set("orientation", "landscape");
mCamera.setParameters(param);
mCamera.startPreview();
mPreviewStarted = true;
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/FpsMeter.java
+66
View File
@@ -0,0 +1,66 @@
package org.opencv.android;
import java.text.DecimalFormat;
import org.opencv.core.Core;
import android.graphics.Canvas;
import android.graphics.Color;
import android.graphics.Paint;
import android.util.Log;
public class FpsMeter {
private static final String TAG = "FpsMeter";
private static final int STEP = 20;
private static final DecimalFormat FPS_FORMAT = new DecimalFormat("0.00");
private int mFramesCouner;
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCouner = 0;
mFrequency = Core.getTickFrequency();
mprevFrameTime = Core.getTickCount();
mStrfps = "";
mPaint = new Paint();
mPaint.setColor(Color.BLUE);
mPaint.setTextSize(20);
}
public void measure() {
if (!mIsInitialized) {
init();
mIsInitialized = true;
} else {
mFramesCouner++;
if (mFramesCouner % STEP == 0) {
long time = Core.getTickCount();
double fps = STEP * mFrequency / (time - mprevFrameTime);
mprevFrameTime = time;
if (mWidth != 0 && mHeight != 0)
mStrfps = FPS_FORMAT.format(fps) + " FPS@" + Integer.valueOf(mWidth) + "x" + Integer.valueOf(mHeight);
else
mStrfps = FPS_FORMAT.format(fps) + " FPS";
Log.i(TAG, mStrfps);
}
}
}
public void setResolution(int width, int height) {
mWidth = width;
mHeight = height;
}
public void draw(Canvas canvas, float offsetx, float offsety) {
Log.d(TAG, mStrfps);
canvas.drawText(mStrfps, offsetx, offsety, mPaint);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/InstallCallbackInterface.java
+34
View File
@@ -0,0 +1,34 @@
package org.opencv.android;
/**
* Installation callback interface.
*/
public interface InstallCallbackInterface
{
/**
* New package installation is required.
*/
static final int NEW_INSTALLATION = 0;
/**
* Current package installation is in progress.
*/
static final int INSTALLATION_PROGRESS = 1;
/**
* Target package name.
* @return Return target package name.
*/
public String getPackageName();
/**
* Installation is approved.
*/
public void install();
/**
* Installation is canceled.
*/
public void cancel();
/**
* Wait for package installation.
*/
public void wait_install();
};
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/JavaCamera2View.java
+374
View File
@@ -0,0 +1,374 @@
package org.opencv.android;
import java.nio.ByteBuffer;
import java.util.Arrays;
import android.annotation.TargetApi;
import android.content.Context;
import android.graphics.ImageFormat;
import android.hardware.camera2.CameraAccessException;
import android.hardware.camera2.CameraCaptureSession;
import android.hardware.camera2.CameraCharacteristics;
import android.hardware.camera2.CameraDevice;
import android.hardware.camera2.CameraManager;
import android.hardware.camera2.CaptureRequest;
import android.hardware.camera2.params.StreamConfigurationMap;
import android.media.Image;
import android.media.ImageReader;
import android.os.Handler;
import android.os.HandlerThread;
import android.util.AttributeSet;
import android.util.Log;
import android.view.Surface;
import android.view.ViewGroup.LayoutParams;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.imgproc.Imgproc;
/**
* This class is an implementation of the Bridge View between OpenCV and Java Camera.
* This class relays on the functionality available in base class and only implements
* required functions:
* connectCamera - opens Java camera and sets the PreviewCallback to be delivered.
* disconnectCamera - closes the camera and stops preview.
* When frame is delivered via callback from Camera - it processed via OpenCV to be
* converted to RGBA32 and then passed to the external callback for modifications if required.
*/
@TargetApi(21)
public class JavaCamera2View extends CameraBridgeViewBase {
private static final String LOGTAG = "JavaCamera2View";
private ImageReader mImageReader;
private int mPreviewFormat = ImageFormat.YUV_420_888;
private CameraDevice mCameraDevice;
private CameraCaptureSession mCaptureSession;
private CaptureRequest.Builder mPreviewRequestBuilder;
private String mCameraID;
private android.util.Size mPreviewSize = new android.util.Size(-1, -1);
private HandlerThread mBackgroundThread;
private Handler mBackgroundHandler;
public JavaCamera2View(Context context, int cameraId) {
super(context, cameraId);
}
public JavaCamera2View(Context context, AttributeSet attrs) {
super(context, attrs);
}
private void startBackgroundThread() {
Log.i(LOGTAG, "startBackgroundThread");
stopBackgroundThread();
mBackgroundThread = new HandlerThread("OpenCVCameraBackground");
mBackgroundThread.start();
mBackgroundHandler = new Handler(mBackgroundThread.getLooper());
}
private void stopBackgroundThread() {
Log.i(LOGTAG, "stopBackgroundThread");
if (mBackgroundThread == null)
return;
mBackgroundThread.quitSafely();
try {
mBackgroundThread.join();
mBackgroundThread = null;
mBackgroundHandler = null;
} catch (InterruptedException e) {
Log.e(LOGTAG, "stopBackgroundThread", e);
}
}
protected boolean initializeCamera() {
Log.i(LOGTAG, "initializeCamera");
CameraManager manager = (CameraManager) getContext().getSystemService(Context.CAMERA_SERVICE);
try {
String camList[] = manager.getCameraIdList();
if (camList.length == 0) {
Log.e(LOGTAG, "Error: camera isn't detected.");
return false;
}
if (mCameraIndex == CameraBridgeViewBase.CAMERA_ID_ANY) {
mCameraID = camList[0];
} else {
for (String cameraID : camList) {
CameraCharacteristics characteristics = manager.getCameraCharacteristics(cameraID);
if ((mCameraIndex == CameraBridgeViewBase.CAMERA_ID_BACK &&
characteristics.get(CameraCharacteristics.LENS_FACING) == CameraCharacteristics.LENS_FACING_BACK) ||
(mCameraIndex == CameraBridgeViewBase.CAMERA_ID_FRONT &&
characteristics.get(CameraCharacteristics.LENS_FACING) == CameraCharacteristics.LENS_FACING_FRONT)
) {
mCameraID = cameraID;
break;
}
}
}
if (mCameraID != null) {
Log.i(LOGTAG, "Opening camera: " + mCameraID);
manager.openCamera(mCameraID, mStateCallback, mBackgroundHandler);
}
return true;
} catch (CameraAccessException e) {
Log.e(LOGTAG, "OpenCamera - Camera Access Exception", e);
} catch (IllegalArgumentException e) {
Log.e(LOGTAG, "OpenCamera - Illegal Argument Exception", e);
} catch (SecurityException e) {
Log.e(LOGTAG, "OpenCamera - Security Exception", e);
}
return false;
}
private final CameraDevice.StateCallback mStateCallback = new CameraDevice.StateCallback() {
@Override
public void onOpened(CameraDevice cameraDevice) {
mCameraDevice = cameraDevice;
createCameraPreviewSession();
}
@Override
public void onDisconnected(CameraDevice cameraDevice) {
cameraDevice.close();
mCameraDevice = null;
}
@Override
public void onError(CameraDevice cameraDevice, int error) {
cameraDevice.close();
mCameraDevice = null;
}
};
private void createCameraPreviewSession() {
final int w = mPreviewSize.getWidth(), h = mPreviewSize.getHeight();
Log.i(LOGTAG, "createCameraPreviewSession(" + w + "x" + h + ")");
if (w < 0 || h < 0)
return;
try {
if (null == mCameraDevice) {
Log.e(LOGTAG, "createCameraPreviewSession: camera isn't opened");
return;
}
if (null != mCaptureSession) {
Log.e(LOGTAG, "createCameraPreviewSession: mCaptureSession is already started");
return;
}
mImageReader = ImageReader.newInstance(w, h, mPreviewFormat, 2);
mImageReader.setOnImageAvailableListener(new ImageReader.OnImageAvailableListener() {
@Override
public void onImageAvailable(ImageReader reader) {
Image image = reader.acquireLatestImage();
if (image == null)
return;
// sanity checks - 3 planes
Image.Plane[] planes = image.getPlanes();
assert (planes.length == 3);
assert (image.getFormat() == mPreviewFormat);
// see also https://developer.android.com/reference/android/graphics/ImageFormat.html#YUV_420_888
// Y plane (0) non-interleaved => stride == 1; U/V plane interleaved => stride == 2
assert (planes[0].getPixelStride() == 1);
assert (planes[1].getPixelStride() == 2);
assert (planes[2].getPixelStride() == 2);
ByteBuffer y_plane = planes[0].getBuffer();
ByteBuffer uv_plane = planes[1].getBuffer();
Mat y_mat = new Mat(h, w, CvType.CV_8UC1, y_plane);
Mat uv_mat = new Mat(h / 2, w / 2, CvType.CV_8UC2, uv_plane);
JavaCamera2Frame tempFrame = new JavaCamera2Frame(y_mat, uv_mat, w, h);
deliverAndDrawFrame(tempFrame);
tempFrame.release();
image.close();
}
}, mBackgroundHandler);
Surface surface = mImageReader.getSurface();
mPreviewRequestBuilder = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
mPreviewRequestBuilder.addTarget(surface);
mCameraDevice.createCaptureSession(Arrays.asList(surface),
new CameraCaptureSession.StateCallback() {
@Override
public void onConfigured(CameraCaptureSession cameraCaptureSession) {
Log.i(LOGTAG, "createCaptureSession::onConfigured");
if (null == mCameraDevice) {
return; // camera is already closed
}
mCaptureSession = cameraCaptureSession;
try {
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE,
CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AE_MODE,
CaptureRequest.CONTROL_AE_MODE_ON_AUTO_FLASH);
mCaptureSession.setRepeatingRequest(mPreviewRequestBuilder.build(), null, mBackgroundHandler);
Log.i(LOGTAG, "CameraPreviewSession has been started");
} catch (Exception e) {
Log.e(LOGTAG, "createCaptureSession failed", e);
}
}
@Override
public void onConfigureFailed(CameraCaptureSession cameraCaptureSession) {
Log.e(LOGTAG, "createCameraPreviewSession failed");
}
},
null
);
} catch (CameraAccessException e) {
Log.e(LOGTAG, "createCameraPreviewSession", e);
}
}
@Override
protected void disconnectCamera() {
Log.i(LOGTAG, "closeCamera");
try {
CameraDevice c = mCameraDevice;
mCameraDevice = null;
if (null != mCaptureSession) {
mCaptureSession.close();
mCaptureSession = null;
}
if (null != c) {
c.close();
}
if (null != mImageReader) {
mImageReader.close();
mImageReader = null;
}
} finally {
stopBackgroundThread();
}
}
boolean calcPreviewSize(final int width, final int height) {
Log.i(LOGTAG, "calcPreviewSize: " + width + "x" + height);
if (mCameraID == null) {
Log.e(LOGTAG, "Camera isn't initialized!");
return false;
}
CameraManager manager = (CameraManager) getContext().getSystemService(Context.CAMERA_SERVICE);
try {
CameraCharacteristics characteristics = manager.getCameraCharacteristics(mCameraID);
StreamConfigurationMap map = characteristics.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP);
int bestWidth = 0, bestHeight = 0;
float aspect = (float) width / height;
android.util.Size[] sizes = map.getOutputSizes(ImageReader.class);
bestWidth = sizes[0].getWidth();
bestHeight = sizes[0].getHeight();
for (android.util.Size sz : sizes) {
int w = sz.getWidth(), h = sz.getHeight();
Log.d(LOGTAG, "trying size: " + w + "x" + h);
if (width >= w && height >= h && bestWidth <= w && bestHeight <= h
&& Math.abs(aspect - (float) w / h) < 0.2) {
bestWidth = w;
bestHeight = h;
}
}
Log.i(LOGTAG, "best size: " + bestWidth + "x" + bestHeight);
assert(!(bestWidth == 0 || bestHeight == 0));
if (mPreviewSize.getWidth() == bestWidth && mPreviewSize.getHeight() == bestHeight)
return false;
else {
mPreviewSize = new android.util.Size(bestWidth, bestHeight);
return true;
}
} catch (CameraAccessException e) {
Log.e(LOGTAG, "calcPreviewSize - Camera Access Exception", e);
} catch (IllegalArgumentException e) {
Log.e(LOGTAG, "calcPreviewSize - Illegal Argument Exception", e);
} catch (SecurityException e) {
Log.e(LOGTAG, "calcPreviewSize - Security Exception", e);
}
return false;
}
@Override
protected boolean connectCamera(int width, int height) {
Log.i(LOGTAG, "setCameraPreviewSize(" + width + "x" + height + ")");
startBackgroundThread();
initializeCamera();
try {
boolean needReconfig = calcPreviewSize(width, height);
mFrameWidth = mPreviewSize.getWidth();
mFrameHeight = mPreviewSize.getHeight();
if ((getLayoutParams().width == LayoutParams.MATCH_PARENT) && (getLayoutParams().height == LayoutParams.MATCH_PARENT))
mScale = Math.min(((float)height)/mFrameHeight, ((float)width)/mFrameWidth);
else
mScale = 0;
AllocateCache();
if (needReconfig) {
if (null != mCaptureSession) {
Log.d(LOGTAG, "closing existing previewSession");
mCaptureSession.close();
mCaptureSession = null;
}
createCameraPreviewSession();
}
} catch (RuntimeException e) {
throw new RuntimeException("Interrupted while setCameraPreviewSize.", e);
}
return true;
}
private class JavaCamera2Frame implements CvCameraViewFrame {
@Override
public Mat gray() {
return mYuvFrameData.submat(0, mHeight, 0, mWidth);
}
@Override
public Mat rgba() {
if (mPreviewFormat == ImageFormat.NV21)
Imgproc.cvtColor(mYuvFrameData, mRgba, Imgproc.COLOR_YUV2RGBA_NV21, 4);
else if (mPreviewFormat == ImageFormat.YV12)
Imgproc.cvtColor(mYuvFrameData, mRgba, Imgproc.COLOR_YUV2RGB_I420, 4); // COLOR_YUV2RGBA_YV12 produces inverted colors
else if (mPreviewFormat == ImageFormat.YUV_420_888) {
assert (mUVFrameData != null);
Imgproc.cvtColorTwoPlane(mYuvFrameData, mUVFrameData, mRgba, Imgproc.COLOR_YUV2RGBA_NV21);
} else
throw new IllegalArgumentException("Preview Format can be NV21 or YV12");
return mRgba;
}
public JavaCamera2Frame(Mat Yuv420sp, int width, int height) {
super();
mWidth = width;
mHeight = height;
mYuvFrameData = Yuv420sp;
mUVFrameData = null;
mRgba = new Mat();
}
public JavaCamera2Frame(Mat Y, Mat UV, int width, int height) {
super();
mWidth = width;
mHeight = height;
mYuvFrameData = Y;
mUVFrameData = UV;
mRgba = new Mat();
}
public void release() {
mRgba.release();
}
private Mat mYuvFrameData;
private Mat mUVFrameData;
private Mat mRgba;
private int mWidth;
private int mHeight;
};
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/JavaCameraView.java
+379
View File
@@ -0,0 +1,379 @@
package org.opencv.android;
import java.util.List;
import android.content.Context;
import android.graphics.ImageFormat;
import android.graphics.SurfaceTexture;
import android.hardware.Camera;
import android.hardware.Camera.PreviewCallback;
import android.os.Build;
import android.util.AttributeSet;
import android.util.Log;
import android.view.ViewGroup.LayoutParams;
import org.opencv.BuildConfig;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
/**
* This class is an implementation of the Bridge View between OpenCV and Java Camera.
* This class relays on the functionality available in base class and only implements
* required functions:
* connectCamera - opens Java camera and sets the PreviewCallback to be delivered.
* disconnectCamera - closes the camera and stops preview.
* When frame is delivered via callback from Camera - it processed via OpenCV to be
* converted to RGBA32 and then passed to the external callback for modifications if required.
*/
public class JavaCameraView extends CameraBridgeViewBase implements PreviewCallback {
private static final int MAGIC_TEXTURE_ID = 10;
private static final String TAG = "JavaCameraView";
private byte mBuffer[];
private Mat[] mFrameChain;
private int mChainIdx = 0;
private Thread mThread;
private boolean mStopThread;
protected Camera mCamera;
protected JavaCameraFrame[] mCameraFrame;
private SurfaceTexture mSurfaceTexture;
private int mPreviewFormat = ImageFormat.NV21;
public static class JavaCameraSizeAccessor implements ListItemAccessor {
@Override
public int getWidth(Object obj) {
Camera.Size size = (Camera.Size) obj;
return size.width;
}
@Override
public int getHeight(Object obj) {
Camera.Size size = (Camera.Size) obj;
return size.height;
}
}
public JavaCameraView(Context context, int cameraId) {
super(context, cameraId);
}
public JavaCameraView(Context context, AttributeSet attrs) {
super(context, attrs);
}
protected boolean initializeCamera(int width, int height) {
Log.d(TAG, "Initialize java camera");
boolean result = true;
synchronized (this) {
mCamera = null;
if (mCameraIndex == CAMERA_ID_ANY) {
Log.d(TAG, "Trying to open camera with old open()");
try {
mCamera = Camera.open();
}
catch (Exception e){
Log.e(TAG, "Camera is not available (in use or does not exist): " + e.getLocalizedMessage());
}
if(mCamera == null && Build.VERSION.SDK_INT >= Build.VERSION_CODES.GINGERBREAD) {
boolean connected = false;
for (int camIdx = 0; camIdx < Camera.getNumberOfCameras(); ++camIdx) {
Log.d(TAG, "Trying to open camera with new open(" + Integer.valueOf(camIdx) + ")");
try {
mCamera = Camera.open(camIdx);
connected = true;
} catch (RuntimeException e) {
Log.e(TAG, "Camera #" + camIdx + "failed to open: " + e.getLocalizedMessage());
}
if (connected) break;
}
}
} else {
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.GINGERBREAD) {
int localCameraIndex = mCameraIndex;
if (mCameraIndex == CAMERA_ID_BACK) {
Log.i(TAG, "Trying to open back camera");
Camera.CameraInfo cameraInfo = new Camera.CameraInfo();
for (int camIdx = 0; camIdx < Camera.getNumberOfCameras(); ++camIdx) {
Camera.getCameraInfo( camIdx, cameraInfo );
if (cameraInfo.facing == Camera.CameraInfo.CAMERA_FACING_BACK) {
localCameraIndex = camIdx;
break;
}
}
} else if (mCameraIndex == CAMERA_ID_FRONT) {
Log.i(TAG, "Trying to open front camera");
Camera.CameraInfo cameraInfo = new Camera.CameraInfo();
for (int camIdx = 0; camIdx < Camera.getNumberOfCameras(); ++camIdx) {
Camera.getCameraInfo( camIdx, cameraInfo );
if (cameraInfo.facing == Camera.CameraInfo.CAMERA_FACING_FRONT) {
localCameraIndex = camIdx;
break;
}
}
}
if (localCameraIndex == CAMERA_ID_BACK) {
Log.e(TAG, "Back camera not found!");
} else if (localCameraIndex == CAMERA_ID_FRONT) {
Log.e(TAG, "Front camera not found!");
} else {
Log.d(TAG, "Trying to open camera with new open(" + Integer.valueOf(localCameraIndex) + ")");
try {
mCamera = Camera.open(localCameraIndex);
} catch (RuntimeException e) {
Log.e(TAG, "Camera #" + localCameraIndex + "failed to open: " + e.getLocalizedMessage());
}
}
}
}
if (mCamera == null)
return false;
/* Now set camera parameters */
try {
Camera.Parameters params = mCamera.getParameters();
Log.d(TAG, "getSupportedPreviewSizes()");
List<android.hardware.Camera.Size> sizes = params.getSupportedPreviewSizes();
if (sizes != null) {
/* Select the size that fits surface considering maximum size allowed */
Size frameSize = calculateCameraFrameSize(sizes, new JavaCameraSizeAccessor(), width, height);
/* Image format NV21 causes issues in the Android emulators */
if (Build.FINGERPRINT.startsWith("generic")
|| Build.FINGERPRINT.startsWith("unknown")
|| Build.MODEL.contains("google_sdk")
|| Build.MODEL.contains("Emulator")
|| Build.MODEL.contains("Android SDK built for x86")
|| Build.MANUFACTURER.contains("Genymotion")
|| (Build.BRAND.startsWith("generic") && Build.DEVICE.startsWith("generic"))
|| "google_sdk".equals(Build.PRODUCT))
params.setPreviewFormat(ImageFormat.YV12); // "generic" or "android" = android emulator
else
params.setPreviewFormat(ImageFormat.NV21);
mPreviewFormat = params.getPreviewFormat();
Log.d(TAG, "Set preview size to " + Integer.valueOf((int)frameSize.width) + "x" + Integer.valueOf((int)frameSize.height));
params.setPreviewSize((int)frameSize.width, (int)frameSize.height);
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH && !android.os.Build.MODEL.equals("GT-I9100"))
params.setRecordingHint(true);
List<String> FocusModes = params.getSupportedFocusModes();
if (FocusModes != null && FocusModes.contains(Camera.Parameters.FOCUS_MODE_CONTINUOUS_VIDEO))
{
params.setFocusMode(Camera.Parameters.FOCUS_MODE_CONTINUOUS_VIDEO);
}
mCamera.setParameters(params);
params = mCamera.getParameters();
mFrameWidth = params.getPreviewSize().width;
mFrameHeight = params.getPreviewSize().height;
if ((getLayoutParams().width == LayoutParams.MATCH_PARENT) && (getLayoutParams().height == LayoutParams.MATCH_PARENT))
mScale = Math.min(((float)height)/mFrameHeight, ((float)width)/mFrameWidth);
else
mScale = 0;
if (mFpsMeter != null) {
mFpsMeter.setResolution(mFrameWidth, mFrameHeight);
}
int size = mFrameWidth * mFrameHeight;
size = size * ImageFormat.getBitsPerPixel(params.getPreviewFormat()) / 8;
mBuffer = new byte[size];
mCamera.addCallbackBuffer(mBuffer);
mCamera.setPreviewCallbackWithBuffer(this);
mFrameChain = new Mat[2];
mFrameChain[0] = new Mat(mFrameHeight + (mFrameHeight/2), mFrameWidth, CvType.CV_8UC1);
mFrameChain[1] = new Mat(mFrameHeight + (mFrameHeight/2), mFrameWidth, CvType.CV_8UC1);
AllocateCache();
mCameraFrame = new JavaCameraFrame[2];
mCameraFrame[0] = new JavaCameraFrame(mFrameChain[0], mFrameWidth, mFrameHeight);
mCameraFrame[1] = new JavaCameraFrame(mFrameChain[1], mFrameWidth, mFrameHeight);
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.HONEYCOMB) {
mSurfaceTexture = new SurfaceTexture(MAGIC_TEXTURE_ID);
mCamera.setPreviewTexture(mSurfaceTexture);
} else
mCamera.setPreviewDisplay(null);
/* Finally we are ready to start the preview */
Log.d(TAG, "startPreview");
mCamera.startPreview();
}
else
result = false;
} catch (Exception e) {
result = false;
e.printStackTrace();
}
}
return result;
}
protected void releaseCamera() {
synchronized (this) {
if (mCamera != null) {
mCamera.stopPreview();
mCamera.setPreviewCallback(null);
mCamera.release();
}
mCamera = null;
if (mFrameChain != null) {
mFrameChain[0].release();
mFrameChain[1].release();
}
if (mCameraFrame != null) {
mCameraFrame[0].release();
mCameraFrame[1].release();
}
}
}
private boolean mCameraFrameReady = false;
@Override
protected boolean connectCamera(int width, int height) {
/* 1. We need to instantiate camera
* 2. We need to start thread which will be getting frames
*/
/* First step - initialize camera connection */
Log.d(TAG, "Connecting to camera");
if (!initializeCamera(width, height))
return false;
mCameraFrameReady = false;
/* now we can start update thread */
Log.d(TAG, "Starting processing thread");
mStopThread = false;
mThread = new Thread(new CameraWorker());
mThread.start();
return true;
}
@Override
protected void disconnectCamera() {
/* 1. We need to stop thread which updating the frames
* 2. Stop camera and release it
*/
Log.d(TAG, "Disconnecting from camera");
try {
mStopThread = true;
Log.d(TAG, "Notify thread");
synchronized (this) {
this.notify();
}
Log.d(TAG, "Waiting for thread");
if (mThread != null)
mThread.join();
} catch (InterruptedException e) {
e.printStackTrace();
} finally {
mThread = null;
}
/* Now release camera */
releaseCamera();
mCameraFrameReady = false;
}
@Override
public void onPreviewFrame(byte[] frame, Camera arg1) {
if (BuildConfig.DEBUG)
Log.d(TAG, "Preview Frame received. Frame size: " + frame.length);
synchronized (this) {
mFrameChain[mChainIdx].put(0, 0, frame);
mCameraFrameReady = true;
this.notify();
}
if (mCamera != null)
mCamera.addCallbackBuffer(mBuffer);
}
private class JavaCameraFrame implements CvCameraViewFrame {
@Override
public Mat gray() {
return mYuvFrameData.submat(0, mHeight, 0, mWidth);
}
@Override
public Mat rgba() {
if (mPreviewFormat == ImageFormat.NV21)
Imgproc.cvtColor(mYuvFrameData, mRgba, Imgproc.COLOR_YUV2RGBA_NV21, 4);
else if (mPreviewFormat == ImageFormat.YV12)
Imgproc.cvtColor(mYuvFrameData, mRgba, Imgproc.COLOR_YUV2RGB_I420, 4); // COLOR_YUV2RGBA_YV12 produces inverted colors
else
throw new IllegalArgumentException("Preview Format can be NV21 or YV12");
return mRgba;
}
public JavaCameraFrame(Mat Yuv420sp, int width, int height) {
super();
mWidth = width;
mHeight = height;
mYuvFrameData = Yuv420sp;
mRgba = new Mat();
}
public void release() {
mRgba.release();
}
private Mat mYuvFrameData;
private Mat mRgba;
private int mWidth;
private int mHeight;
};
private class CameraWorker implements Runnable {
@Override
public void run() {
do {
boolean hasFrame = false;
synchronized (JavaCameraView.this) {
try {
while (!mCameraFrameReady && !mStopThread) {
JavaCameraView.this.wait();
}
} catch (InterruptedException e) {
e.printStackTrace();
}
if (mCameraFrameReady)
{
mChainIdx = 1 - mChainIdx;
mCameraFrameReady = false;
hasFrame = true;
}
}
if (!mStopThread && hasFrame) {
if (!mFrameChain[1 - mChainIdx].empty())
deliverAndDrawFrame(mCameraFrame[1 - mChainIdx]);
}
} while (!mStopThread);
Log.d(TAG, "Finish processing thread");
}
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/LoaderCallbackInterface.java
+40
View File
@@ -0,0 +1,40 @@
package org.opencv.android;
/**
* Interface for callback object in case of asynchronous initialization of OpenCV.
*/
public interface LoaderCallbackInterface
{
/**
* OpenCV initialization finished successfully.
*/
static final int SUCCESS = 0;
/**
* Google Play Market cannot be invoked.
*/
static final int MARKET_ERROR = 2;
/**
* OpenCV library installation has been canceled by the user.
*/
static final int INSTALL_CANCELED = 3;
/**
* This version of OpenCV Manager Service is incompatible with the app. Possibly, a service update is required.
*/
static final int INCOMPATIBLE_MANAGER_VERSION = 4;
/**
* OpenCV library initialization has failed.
*/
static final int INIT_FAILED = 0xff;
/**
* Callback method, called after OpenCV library initialization.
* @param status status of initialization (see initialization status constants).
*/
public void onManagerConnected(int status);
/**
* Callback method, called in case the package installation is needed.
* @param callback answer object with approve and cancel methods and the package description.
*/
public void onPackageInstall(final int operation, InstallCallbackInterface callback);
};
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/OpenCVLoader.java
+132
View File
@@ -0,0 +1,132 @@
package org.opencv.android;
import android.content.Context;
/**
* Helper class provides common initialization methods for OpenCV library.
*/
public class OpenCVLoader
{
/**
* OpenCV Library version 2.4.2.
*/
public static final String OPENCV_VERSION_2_4_2 = "2.4.2";
/**
* OpenCV Library version 2.4.3.
*/
public static final String OPENCV_VERSION_2_4_3 = "2.4.3";
/**
* OpenCV Library version 2.4.4.
*/
public static final String OPENCV_VERSION_2_4_4 = "2.4.4";
/**
* OpenCV Library version 2.4.5.
*/
public static final String OPENCV_VERSION_2_4_5 = "2.4.5";
/**
* OpenCV Library version 2.4.6.
*/
public static final String OPENCV_VERSION_2_4_6 = "2.4.6";
/**
* OpenCV Library version 2.4.7.
*/
public static final String OPENCV_VERSION_2_4_7 = "2.4.7";
/**
* OpenCV Library version 2.4.8.
*/
public static final String OPENCV_VERSION_2_4_8 = "2.4.8";
/**
* OpenCV Library version 2.4.9.
*/
public static final String OPENCV_VERSION_2_4_9 = "2.4.9";
/**
* OpenCV Library version 2.4.10.
*/
public static final String OPENCV_VERSION_2_4_10 = "2.4.10";
/**
* OpenCV Library version 2.4.11.
*/
public static final String OPENCV_VERSION_2_4_11 = "2.4.11";
/**
* OpenCV Library version 2.4.12.
*/
public static final String OPENCV_VERSION_2_4_12 = "2.4.12";
/**
* OpenCV Library version 2.4.13.
*/
public static final String OPENCV_VERSION_2_4_13 = "2.4.13";
/**
* OpenCV Library version 3.0.0.
*/
public static final String OPENCV_VERSION_3_0_0 = "3.0.0";
/**
* OpenCV Library version 3.1.0.
*/
public static final String OPENCV_VERSION_3_1_0 = "3.1.0";
/**
* OpenCV Library version 3.2.0.
*/
public static final String OPENCV_VERSION_3_2_0 = "3.2.0";
/**
* OpenCV Library version 3.3.0.
*/
public static final String OPENCV_VERSION_3_3_0 = "3.3.0";
/**
* OpenCV Library version 3.4.0.
*/
public static final String OPENCV_VERSION_3_4_0 = "3.4.0";
/**
* Current OpenCV Library version
*/
public static final String OPENCV_VERSION = "3.4.2";
/**
* Loads and initializes OpenCV library from current application package. Roughly, it's an analog of system.loadLibrary("opencv_java").
* @return Returns true is initialization of OpenCV was successful.
*/
public static boolean initDebug()
{
return StaticHelper.initOpenCV(false);
}
/**
* Loads and initializes OpenCV library from current application package. Roughly, it's an analog of system.loadLibrary("opencv_java").
* @param InitCuda load and initialize CUDA runtime libraries.
* @return Returns true is initialization of OpenCV was successful.
*/
public static boolean initDebug(boolean InitCuda)
{
return StaticHelper.initOpenCV(InitCuda);
}
/**
* Loads and initializes OpenCV library using OpenCV Engine service.
* @param Version OpenCV library version.
* @param AppContext application context for connecting to the service.
* @param Callback object, that implements LoaderCallbackInterface for handling the connection status.
* @return Returns true if initialization of OpenCV is successful.
*/
public static boolean initAsync(String Version, Context AppContext,
LoaderCallbackInterface Callback)
{
return AsyncServiceHelper.initOpenCV(Version, AppContext, Callback);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/StaticHelper.java
+104
View File
@@ -0,0 +1,104 @@
package org.opencv.android;
import org.opencv.core.Core;
import java.util.StringTokenizer;
import android.util.Log;
class StaticHelper {
public static boolean initOpenCV(boolean InitCuda)
{
boolean result;
String libs = "";
if(InitCuda)
{
loadLibrary("cudart");
loadLibrary("nppc");
loadLibrary("nppi");
loadLibrary("npps");
loadLibrary("cufft");
loadLibrary("cublas");
}
Log.d(TAG, "Trying to get library list");
try
{
System.loadLibrary("opencv_info");
libs = getLibraryList();
}
catch(UnsatisfiedLinkError e)
{
Log.e(TAG, "OpenCV error: Cannot load info library for OpenCV");
}
Log.d(TAG, "Library list: \"" + libs + "\"");
Log.d(TAG, "First attempt to load libs");
if (initOpenCVLibs(libs))
{
Log.d(TAG, "First attempt to load libs is OK");
String eol = System.getProperty("line.separator");
for (String str : Core.getBuildInformation().split(eol))
Log.i(TAG, str);
result = true;
}
else
{
Log.d(TAG, "First attempt to load libs fails");
result = false;
}
return result;
}
private static boolean loadLibrary(String Name)
{
boolean result = true;
Log.d(TAG, "Trying to load library " + Name);
try
{
System.loadLibrary(Name);
Log.d(TAG, "Library " + Name + " loaded");
}
catch(UnsatisfiedLinkError e)
{
Log.d(TAG, "Cannot load library \"" + Name + "\"");
e.printStackTrace();
result = false;
}
return result;
}
private static boolean initOpenCVLibs(String Libs)
{
Log.d(TAG, "Trying to init OpenCV libs");
boolean result = true;
if ((null != Libs) && (Libs.length() != 0))
{
Log.d(TAG, "Trying to load libs by dependency list");
StringTokenizer splitter = new StringTokenizer(Libs, ";");
while(splitter.hasMoreTokens())
{
result &= loadLibrary(splitter.nextToken());
}
}
else
{
// If dependencies list is not defined or empty.
result = loadLibrary("opencv_java3");
}
return result;
}
private static final String TAG = "OpenCV/StaticHelper";
private static native String getLibraryList();
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/android/Utils.java
+139
View File
@@ -0,0 +1,139 @@
package org.opencv.android;
import android.content.Context;
import android.graphics.Bitmap;
import org.opencv.core.CvException;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.imgcodecs.Imgcodecs;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
public class Utils {
public static String exportResource(Context context, int resourceId) {
return exportResource(context, resourceId, "OpenCV_data");
}
public static String exportResource(Context context, int resourceId, String dirname) {
String fullname = context.getResources().getString(resourceId);
String resName = fullname.substring(fullname.lastIndexOf("/") + 1);
try {
InputStream is = context.getResources().openRawResource(resourceId);
File resDir = context.getDir(dirname, Context.MODE_PRIVATE);
File resFile = new File(resDir, resName);
FileOutputStream os = new FileOutputStream(resFile);
byte[] buffer = new byte[4096];
int bytesRead;
while ((bytesRead = is.read(buffer)) != -1) {
os.write(buffer, 0, bytesRead);
}
is.close();
os.close();
return resFile.getAbsolutePath();
} catch (IOException e) {
e.printStackTrace();
throw new CvException("Failed to export resource " + resName
+ ". Exception thrown: " + e);
}
}
public static Mat loadResource(Context context, int resourceId) throws IOException
{
return loadResource(context, resourceId, -1);
}
public static Mat loadResource(Context context, int resourceId, int flags) throws IOException
{
InputStream is = context.getResources().openRawResource(resourceId);
ByteArrayOutputStream os = new ByteArrayOutputStream(is.available());
byte[] buffer = new byte[4096];
int bytesRead;
while ((bytesRead = is.read(buffer)) != -1) {
os.write(buffer, 0, bytesRead);
}
is.close();
Mat encoded = new Mat(1, os.size(), CvType.CV_8U);
encoded.put(0, 0, os.toByteArray());
os.close();
Mat decoded = Imgcodecs.imdecode(encoded, flags);
encoded.release();
return decoded;
}
/**
* Converts Android Bitmap to OpenCV Mat.
* <p>
* This function converts an Android Bitmap image to the OpenCV Mat.
* <br>'ARGB_8888' and 'RGB_565' input Bitmap formats are supported.
* <br>The output Mat is always created of the same size as the input Bitmap and of the 'CV_8UC4' type,
* it keeps the image in RGBA format.
* <br>This function throws an exception if the conversion fails.
* @param bmp is a valid input Bitmap object of the type 'ARGB_8888' or 'RGB_565'.
* @param mat is a valid output Mat object, it will be reallocated if needed, so it may be empty.
* @param unPremultiplyAlpha is a flag, that determines, whether the bitmap needs to be converted from alpha premultiplied format (like Android keeps 'ARGB_8888' ones) to regular one; this flag is ignored for 'RGB_565' bitmaps.
*/
public static void bitmapToMat(Bitmap bmp, Mat mat, boolean unPremultiplyAlpha) {
if (bmp == null)
throw new java.lang.IllegalArgumentException("bmp == null");
if (mat == null)
throw new java.lang.IllegalArgumentException("mat == null");
nBitmapToMat2(bmp, mat.nativeObj, unPremultiplyAlpha);
}
/**
* Short form of the bitmapToMat(bmp, mat, unPremultiplyAlpha=false).
* @param bmp is a valid input Bitmap object of the type 'ARGB_8888' or 'RGB_565'.
* @param mat is a valid output Mat object, it will be reallocated if needed, so Mat may be empty.
*/
public static void bitmapToMat(Bitmap bmp, Mat mat) {
bitmapToMat(bmp, mat, false);
}
/**
* Converts OpenCV Mat to Android Bitmap.
* <p>
* <br>This function converts an image in the OpenCV Mat representation to the Android Bitmap.
* <br>The input Mat object has to be of the types 'CV_8UC1' (gray-scale), 'CV_8UC3' (RGB) or 'CV_8UC4' (RGBA).
* <br>The output Bitmap object has to be of the same size as the input Mat and of the types 'ARGB_8888' or 'RGB_565'.
* <br>This function throws an exception if the conversion fails.
*
* @param mat is a valid input Mat object of types 'CV_8UC1', 'CV_8UC3' or 'CV_8UC4'.
* @param bmp is a valid Bitmap object of the same size as the Mat and of type 'ARGB_8888' or 'RGB_565'.
* @param premultiplyAlpha is a flag, that determines, whether the Mat needs to be converted to alpha premultiplied format (like Android keeps 'ARGB_8888' bitmaps); the flag is ignored for 'RGB_565' bitmaps.
*/
public static void matToBitmap(Mat mat, Bitmap bmp, boolean premultiplyAlpha) {
if (mat == null)
throw new java.lang.IllegalArgumentException("mat == null");
if (bmp == null)
throw new java.lang.IllegalArgumentException("bmp == null");
nMatToBitmap2(mat.nativeObj, bmp, premultiplyAlpha);
}
/**
* Short form of the <b>matToBitmap(mat, bmp, premultiplyAlpha=false)</b>
* @param mat is a valid input Mat object of the types 'CV_8UC1', 'CV_8UC3' or 'CV_8UC4'.
* @param bmp is a valid Bitmap object of the same size as the Mat and of type 'ARGB_8888' or 'RGB_565'.
*/
public static void matToBitmap(Mat mat, Bitmap bmp) {
matToBitmap(mat, bmp, false);
}
private static native void nBitmapToMat2(Bitmap b, long m_addr, boolean unPremultiplyAlpha);
private static native void nMatToBitmap2(long m_addr, Bitmap b, boolean premultiplyAlpha);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/calib3d/Calib3d.java
+1646
View File
File diff suppressed because it is too large Load Diff
Prj-Android/openCVLibrary342/src/main/java/org/opencv/calib3d/StereoBM.java
+334
View File
@@ -0,0 +1,334 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.calib3d;
import org.opencv.calib3d.StereoBM;
import org.opencv.calib3d.StereoMatcher;
import org.opencv.core.Rect;
// C++: class StereoBM
//javadoc: StereoBM
public class StereoBM extends StereoMatcher {
protected StereoBM(long addr) { super(addr); }
// internal usage only
public static StereoBM __fromPtr__(long addr) { return new StereoBM(addr); }
public static final int
PREFILTER_NORMALIZED_RESPONSE = 0,
PREFILTER_XSOBEL = 1;
//
// C++: static Ptr_StereoBM create(int numDisparities = 0, int blockSize = 21)
//
//javadoc: StereoBM::create(numDisparities, blockSize)
public static StereoBM create(int numDisparities, int blockSize)
{
StereoBM retVal = StereoBM.__fromPtr__(create_0(numDisparities, blockSize));
return retVal;
}
//javadoc: StereoBM::create()
public static StereoBM create()
{
StereoBM retVal = StereoBM.__fromPtr__(create_1());
return retVal;
}
//
// C++: Rect getROI1()
//
//javadoc: StereoBM::getROI1()
public Rect getROI1()
{
Rect retVal = new Rect(getROI1_0(nativeObj));
return retVal;
}
//
// C++: Rect getROI2()
//
//javadoc: StereoBM::getROI2()
public Rect getROI2()
{
Rect retVal = new Rect(getROI2_0(nativeObj));
return retVal;
}
//
// C++: int getPreFilterCap()
//
//javadoc: StereoBM::getPreFilterCap()
public int getPreFilterCap()
{
int retVal = getPreFilterCap_0(nativeObj);
return retVal;
}
//
// C++: int getPreFilterSize()
//
//javadoc: StereoBM::getPreFilterSize()
public int getPreFilterSize()
{
int retVal = getPreFilterSize_0(nativeObj);
return retVal;
}
//
// C++: int getPreFilterType()
//
//javadoc: StereoBM::getPreFilterType()
public int getPreFilterType()
{
int retVal = getPreFilterType_0(nativeObj);
return retVal;
}
//
// C++: int getSmallerBlockSize()
//
//javadoc: StereoBM::getSmallerBlockSize()
public int getSmallerBlockSize()
{
int retVal = getSmallerBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int getTextureThreshold()
//
//javadoc: StereoBM::getTextureThreshold()
public int getTextureThreshold()
{
int retVal = getTextureThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getUniquenessRatio()
//
//javadoc: StereoBM::getUniquenessRatio()
public int getUniquenessRatio()
{
int retVal = getUniquenessRatio_0(nativeObj);
return retVal;
}
//
// C++: void setPreFilterCap(int preFilterCap)
//
//javadoc: StereoBM::setPreFilterCap(preFilterCap)
public void setPreFilterCap(int preFilterCap)
{
setPreFilterCap_0(nativeObj, preFilterCap);
return;
}
//
// C++: void setPreFilterSize(int preFilterSize)
//
//javadoc: StereoBM::setPreFilterSize(preFilterSize)
public void setPreFilterSize(int preFilterSize)
{
setPreFilterSize_0(nativeObj, preFilterSize);
return;
}
//
// C++: void setPreFilterType(int preFilterType)
//
//javadoc: StereoBM::setPreFilterType(preFilterType)
public void setPreFilterType(int preFilterType)
{
setPreFilterType_0(nativeObj, preFilterType);
return;
}
//
// C++: void setROI1(Rect roi1)
//
//javadoc: StereoBM::setROI1(roi1)
public void setROI1(Rect roi1)
{
setROI1_0(nativeObj, roi1.x, roi1.y, roi1.width, roi1.height);
return;
}
//
// C++: void setROI2(Rect roi2)
//
//javadoc: StereoBM::setROI2(roi2)
public void setROI2(Rect roi2)
{
setROI2_0(nativeObj, roi2.x, roi2.y, roi2.width, roi2.height);
return;
}
//
// C++: void setSmallerBlockSize(int blockSize)
//
//javadoc: StereoBM::setSmallerBlockSize(blockSize)
public void setSmallerBlockSize(int blockSize)
{
setSmallerBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void setTextureThreshold(int textureThreshold)
//
//javadoc: StereoBM::setTextureThreshold(textureThreshold)
public void setTextureThreshold(int textureThreshold)
{
setTextureThreshold_0(nativeObj, textureThreshold);
return;
}
//
// C++: void setUniquenessRatio(int uniquenessRatio)
//
//javadoc: StereoBM::setUniquenessRatio(uniquenessRatio)
public void setUniquenessRatio(int uniquenessRatio)
{
setUniquenessRatio_0(nativeObj, uniquenessRatio);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_StereoBM create(int numDisparities = 0, int blockSize = 21)
private static native long create_0(int numDisparities, int blockSize);
private static native long create_1();
// C++: Rect getROI1()
private static native double[] getROI1_0(long nativeObj);
// C++: Rect getROI2()
private static native double[] getROI2_0(long nativeObj);
// C++: int getPreFilterCap()
private static native int getPreFilterCap_0(long nativeObj);
// C++: int getPreFilterSize()
private static native int getPreFilterSize_0(long nativeObj);
// C++: int getPreFilterType()
private static native int getPreFilterType_0(long nativeObj);
// C++: int getSmallerBlockSize()
private static native int getSmallerBlockSize_0(long nativeObj);
// C++: int getTextureThreshold()
private static native int getTextureThreshold_0(long nativeObj);
// C++: int getUniquenessRatio()
private static native int getUniquenessRatio_0(long nativeObj);
// C++: void setPreFilterCap(int preFilterCap)
private static native void setPreFilterCap_0(long nativeObj, int preFilterCap);
// C++: void setPreFilterSize(int preFilterSize)
private static native void setPreFilterSize_0(long nativeObj, int preFilterSize);
// C++: void setPreFilterType(int preFilterType)
private static native void setPreFilterType_0(long nativeObj, int preFilterType);
// C++: void setROI1(Rect roi1)
private static native void setROI1_0(long nativeObj, int roi1_x, int roi1_y, int roi1_width, int roi1_height);
// C++: void setROI2(Rect roi2)
private static native void setROI2_0(long nativeObj, int roi2_x, int roi2_y, int roi2_width, int roi2_height);
// C++: void setSmallerBlockSize(int blockSize)
private static native void setSmallerBlockSize_0(long nativeObj, int blockSize);
// C++: void setTextureThreshold(int textureThreshold)
private static native void setTextureThreshold_0(long nativeObj, int textureThreshold);
// C++: void setUniquenessRatio(int uniquenessRatio)
private static native void setUniquenessRatio_0(long nativeObj, int uniquenessRatio);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/calib3d/StereoMatcher.java
+255
View File
@@ -0,0 +1,255 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.calib3d;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
// C++: class StereoMatcher
//javadoc: StereoMatcher
public class StereoMatcher extends Algorithm {
protected StereoMatcher(long addr) { super(addr); }
// internal usage only
public static StereoMatcher __fromPtr__(long addr) { return new StereoMatcher(addr); }
public static final int
DISP_SHIFT = 4,
DISP_SCALE = (1 << DISP_SHIFT);
//
// C++: int getBlockSize()
//
//javadoc: StereoMatcher::getBlockSize()
public int getBlockSize()
{
int retVal = getBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int getDisp12MaxDiff()
//
//javadoc: StereoMatcher::getDisp12MaxDiff()
public int getDisp12MaxDiff()
{
int retVal = getDisp12MaxDiff_0(nativeObj);
return retVal;
}
//
// C++: int getMinDisparity()
//
//javadoc: StereoMatcher::getMinDisparity()
public int getMinDisparity()
{
int retVal = getMinDisparity_0(nativeObj);
return retVal;
}
//
// C++: int getNumDisparities()
//
//javadoc: StereoMatcher::getNumDisparities()
public int getNumDisparities()
{
int retVal = getNumDisparities_0(nativeObj);
return retVal;
}
//
// C++: int getSpeckleRange()
//
//javadoc: StereoMatcher::getSpeckleRange()
public int getSpeckleRange()
{
int retVal = getSpeckleRange_0(nativeObj);
return retVal;
}
//
// C++: int getSpeckleWindowSize()
//
//javadoc: StereoMatcher::getSpeckleWindowSize()
public int getSpeckleWindowSize()
{
int retVal = getSpeckleWindowSize_0(nativeObj);
return retVal;
}
//
// C++: void compute(Mat left, Mat right, Mat& disparity)
//
//javadoc: StereoMatcher::compute(left, right, disparity)
public void compute(Mat left, Mat right, Mat disparity)
{
compute_0(nativeObj, left.nativeObj, right.nativeObj, disparity.nativeObj);
return;
}
//
// C++: void setBlockSize(int blockSize)
//
//javadoc: StereoMatcher::setBlockSize(blockSize)
public void setBlockSize(int blockSize)
{
setBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void setDisp12MaxDiff(int disp12MaxDiff)
//
//javadoc: StereoMatcher::setDisp12MaxDiff(disp12MaxDiff)
public void setDisp12MaxDiff(int disp12MaxDiff)
{
setDisp12MaxDiff_0(nativeObj, disp12MaxDiff);
return;
}
//
// C++: void setMinDisparity(int minDisparity)
//
//javadoc: StereoMatcher::setMinDisparity(minDisparity)
public void setMinDisparity(int minDisparity)
{
setMinDisparity_0(nativeObj, minDisparity);
return;
}
//
// C++: void setNumDisparities(int numDisparities)
//
//javadoc: StereoMatcher::setNumDisparities(numDisparities)
public void setNumDisparities(int numDisparities)
{
setNumDisparities_0(nativeObj, numDisparities);
return;
}
//
// C++: void setSpeckleRange(int speckleRange)
//
//javadoc: StereoMatcher::setSpeckleRange(speckleRange)
public void setSpeckleRange(int speckleRange)
{
setSpeckleRange_0(nativeObj, speckleRange);
return;
}
//
// C++: void setSpeckleWindowSize(int speckleWindowSize)
//
//javadoc: StereoMatcher::setSpeckleWindowSize(speckleWindowSize)
public void setSpeckleWindowSize(int speckleWindowSize)
{
setSpeckleWindowSize_0(nativeObj, speckleWindowSize);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: int getBlockSize()
private static native int getBlockSize_0(long nativeObj);
// C++: int getDisp12MaxDiff()
private static native int getDisp12MaxDiff_0(long nativeObj);
// C++: int getMinDisparity()
private static native int getMinDisparity_0(long nativeObj);
// C++: int getNumDisparities()
private static native int getNumDisparities_0(long nativeObj);
// C++: int getSpeckleRange()
private static native int getSpeckleRange_0(long nativeObj);
// C++: int getSpeckleWindowSize()
private static native int getSpeckleWindowSize_0(long nativeObj);
// C++: void compute(Mat left, Mat right, Mat& disparity)
private static native void compute_0(long nativeObj, long left_nativeObj, long right_nativeObj, long disparity_nativeObj);
// C++: void setBlockSize(int blockSize)
private static native void setBlockSize_0(long nativeObj, int blockSize);
// C++: void setDisp12MaxDiff(int disp12MaxDiff)
private static native void setDisp12MaxDiff_0(long nativeObj, int disp12MaxDiff);
// C++: void setMinDisparity(int minDisparity)
private static native void setMinDisparity_0(long nativeObj, int minDisparity);
// C++: void setNumDisparities(int numDisparities)
private static native void setNumDisparities_0(long nativeObj, int numDisparities);
// C++: void setSpeckleRange(int speckleRange)
private static native void setSpeckleRange_0(long nativeObj, int speckleRange);
// C++: void setSpeckleWindowSize(int speckleWindowSize)
private static native void setSpeckleWindowSize_0(long nativeObj, int speckleWindowSize);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/calib3d/StereoSGBM.java
+233
View File
@@ -0,0 +1,233 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.calib3d;
import org.opencv.calib3d.StereoMatcher;
import org.opencv.calib3d.StereoSGBM;
// C++: class StereoSGBM
//javadoc: StereoSGBM
public class StereoSGBM extends StereoMatcher {
protected StereoSGBM(long addr) { super(addr); }
// internal usage only
public static StereoSGBM __fromPtr__(long addr) { return new StereoSGBM(addr); }
public static final int
MODE_SGBM = 0,
MODE_HH = 1,
MODE_SGBM_3WAY = 2,
MODE_HH4 = 3;
//
// C++: static Ptr_StereoSGBM create(int minDisparity = 0, int numDisparities = 16, int blockSize = 3, int P1 = 0, int P2 = 0, int disp12MaxDiff = 0, int preFilterCap = 0, int uniquenessRatio = 0, int speckleWindowSize = 0, int speckleRange = 0, int mode = StereoSGBM::MODE_SGBM)
//
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange, mode)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange, int mode)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_0(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange, mode));
return retVal;
}
//javadoc: StereoSGBM::create()
public static StereoSGBM create()
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_1());
return retVal;
}
//
// C++: int getMode()
//
//javadoc: StereoSGBM::getMode()
public int getMode()
{
int retVal = getMode_0(nativeObj);
return retVal;
}
//
// C++: int getP1()
//
//javadoc: StereoSGBM::getP1()
public int getP1()
{
int retVal = getP1_0(nativeObj);
return retVal;
}
//
// C++: int getP2()
//
//javadoc: StereoSGBM::getP2()
public int getP2()
{
int retVal = getP2_0(nativeObj);
return retVal;
}
//
// C++: int getPreFilterCap()
//
//javadoc: StereoSGBM::getPreFilterCap()
public int getPreFilterCap()
{
int retVal = getPreFilterCap_0(nativeObj);
return retVal;
}
//
// C++: int getUniquenessRatio()
//
//javadoc: StereoSGBM::getUniquenessRatio()
public int getUniquenessRatio()
{
int retVal = getUniquenessRatio_0(nativeObj);
return retVal;
}
//
// C++: void setMode(int mode)
//
//javadoc: StereoSGBM::setMode(mode)
public void setMode(int mode)
{
setMode_0(nativeObj, mode);
return;
}
//
// C++: void setP1(int P1)
//
//javadoc: StereoSGBM::setP1(P1)
public void setP1(int P1)
{
setP1_0(nativeObj, P1);
return;
}
//
// C++: void setP2(int P2)
//
//javadoc: StereoSGBM::setP2(P2)
public void setP2(int P2)
{
setP2_0(nativeObj, P2);
return;
}
//
// C++: void setPreFilterCap(int preFilterCap)
//
//javadoc: StereoSGBM::setPreFilterCap(preFilterCap)
public void setPreFilterCap(int preFilterCap)
{
setPreFilterCap_0(nativeObj, preFilterCap);
return;
}
//
// C++: void setUniquenessRatio(int uniquenessRatio)
//
//javadoc: StereoSGBM::setUniquenessRatio(uniquenessRatio)
public void setUniquenessRatio(int uniquenessRatio)
{
setUniquenessRatio_0(nativeObj, uniquenessRatio);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_StereoSGBM create(int minDisparity = 0, int numDisparities = 16, int blockSize = 3, int P1 = 0, int P2 = 0, int disp12MaxDiff = 0, int preFilterCap = 0, int uniquenessRatio = 0, int speckleWindowSize = 0, int speckleRange = 0, int mode = StereoSGBM::MODE_SGBM)
private static native long create_0(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange, int mode);
private static native long create_1();
// C++: int getMode()
private static native int getMode_0(long nativeObj);
// C++: int getP1()
private static native int getP1_0(long nativeObj);
// C++: int getP2()
private static native int getP2_0(long nativeObj);
// C++: int getPreFilterCap()
private static native int getPreFilterCap_0(long nativeObj);
// C++: int getUniquenessRatio()
private static native int getUniquenessRatio_0(long nativeObj);
// C++: void setMode(int mode)
private static native void setMode_0(long nativeObj, int mode);
// C++: void setP1(int P1)
private static native void setP1_0(long nativeObj, int P1);
// C++: void setP2(int P2)
private static native void setP2_0(long nativeObj, int P2);
// C++: void setPreFilterCap(int preFilterCap)
private static native void setPreFilterCap_0(long nativeObj, int preFilterCap);
// C++: void setUniquenessRatio(int uniquenessRatio)
private static native void setUniquenessRatio_0(long nativeObj, int uniquenessRatio);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Algorithm.java
+113
View File
@@ -0,0 +1,113 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.core;
import java.lang.String;
// C++: class Algorithm
//javadoc: Algorithm
public class Algorithm {
protected final long nativeObj;
protected Algorithm(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static Algorithm __fromPtr__(long addr) { return new Algorithm(addr); }
//
// C++: String getDefaultName()
//
//javadoc: Algorithm::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool empty()
//
//javadoc: Algorithm::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: void clear()
//
//javadoc: Algorithm::clear()
public void clear()
{
clear_0(nativeObj);
return;
}
//
// C++: void read(FileNode fn)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void save(String filename)
//
//javadoc: Algorithm::save(filename)
public void save(String filename)
{
save_0(nativeObj, filename);
return;
}
//
// C++: void write(Ptr_FileStorage fs, String name = String())
//
// Unknown type 'Ptr_FileStorage' (I), skipping the function
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: void clear()
private static native void clear_0(long nativeObj);
// C++: void save(String filename)
private static native void save_0(long nativeObj, String filename);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Core.java
+2829
View File
File diff suppressed because it is too large Load Diff
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/CvException.java
+15
View File
@@ -0,0 +1,15 @@
package org.opencv.core;
public class CvException extends RuntimeException {
private static final long serialVersionUID = 1L;
public CvException(String msg) {
super(msg);
}
@Override
public String toString() {
return "CvException [" + super.toString() + "]";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/CvType.java
+136
View File
@@ -0,0 +1,136 @@
package org.opencv.core;
public final class CvType {
// type depth constants
public static final int
CV_8U = 0, CV_8S = 1,
CV_16U = 2, CV_16S = 3,
CV_32S = 4,
CV_32F = 5,
CV_64F = 6,
CV_USRTYPE1 = 7;
// predefined type constants
public static final int
CV_8UC1 = CV_8UC(1), CV_8UC2 = CV_8UC(2), CV_8UC3 = CV_8UC(3), CV_8UC4 = CV_8UC(4),
CV_8SC1 = CV_8SC(1), CV_8SC2 = CV_8SC(2), CV_8SC3 = CV_8SC(3), CV_8SC4 = CV_8SC(4),
CV_16UC1 = CV_16UC(1), CV_16UC2 = CV_16UC(2), CV_16UC3 = CV_16UC(3), CV_16UC4 = CV_16UC(4),
CV_16SC1 = CV_16SC(1), CV_16SC2 = CV_16SC(2), CV_16SC3 = CV_16SC(3), CV_16SC4 = CV_16SC(4),
CV_32SC1 = CV_32SC(1), CV_32SC2 = CV_32SC(2), CV_32SC3 = CV_32SC(3), CV_32SC4 = CV_32SC(4),
CV_32FC1 = CV_32FC(1), CV_32FC2 = CV_32FC(2), CV_32FC3 = CV_32FC(3), CV_32FC4 = CV_32FC(4),
CV_64FC1 = CV_64FC(1), CV_64FC2 = CV_64FC(2), CV_64FC3 = CV_64FC(3), CV_64FC4 = CV_64FC(4);
private static final int CV_CN_MAX = 512, CV_CN_SHIFT = 3, CV_DEPTH_MAX = (1 << CV_CN_SHIFT);
public static final int makeType(int depth, int channels) {
if (channels <= 0 || channels >= CV_CN_MAX) {
throw new java.lang.UnsupportedOperationException(
"Channels count should be 1.." + (CV_CN_MAX - 1));
}
if (depth < 0 || depth >= CV_DEPTH_MAX) {
throw new java.lang.UnsupportedOperationException(
"Data type depth should be 0.." + (CV_DEPTH_MAX - 1));
}
return (depth & (CV_DEPTH_MAX - 1)) + ((channels - 1) << CV_CN_SHIFT);
}
public static final int CV_8UC(int ch) {
return makeType(CV_8U, ch);
}
public static final int CV_8SC(int ch) {
return makeType(CV_8S, ch);
}
public static final int CV_16UC(int ch) {
return makeType(CV_16U, ch);
}
public static final int CV_16SC(int ch) {
return makeType(CV_16S, ch);
}
public static final int CV_32SC(int ch) {
return makeType(CV_32S, ch);
}
public static final int CV_32FC(int ch) {
return makeType(CV_32F, ch);
}
public static final int CV_64FC(int ch) {
return makeType(CV_64F, ch);
}
public static final int channels(int type) {
return (type >> CV_CN_SHIFT) + 1;
}
public static final int depth(int type) {
return type & (CV_DEPTH_MAX - 1);
}
public static final boolean isInteger(int type) {
return depth(type) < CV_32F;
}
public static final int ELEM_SIZE(int type) {
switch (depth(type)) {
case CV_8U:
case CV_8S:
return channels(type);
case CV_16U:
case CV_16S:
return 2 * channels(type);
case CV_32S:
case CV_32F:
return 4 * channels(type);
case CV_64F:
return 8 * channels(type);
default:
throw new java.lang.UnsupportedOperationException(
"Unsupported CvType value: " + type);
}
}
public static final String typeToString(int type) {
String s;
switch (depth(type)) {
case CV_8U:
s = "CV_8U";
break;
case CV_8S:
s = "CV_8S";
break;
case CV_16U:
s = "CV_16U";
break;
case CV_16S:
s = "CV_16S";
break;
case CV_32S:
s = "CV_32S";
break;
case CV_32F:
s = "CV_32F";
break;
case CV_64F:
s = "CV_64F";
break;
case CV_USRTYPE1:
s = "CV_USRTYPE1";
break;
default:
throw new java.lang.UnsupportedOperationException(
"Unsupported CvType value: " + type);
}
int ch = channels(type);
if (ch <= 4)
return s + "C" + ch;
else
return s + "C(" + ch + ")";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/DMatch.java
+58
View File
@@ -0,0 +1,58 @@
package org.opencv.core;
//C++: class DMatch
/**
* Structure for matching: query descriptor index, train descriptor index, train
* image index and distance between descriptors.
*/
public class DMatch {
/**
* Query descriptor index.
*/
public int queryIdx;
/**
* Train descriptor index.
*/
public int trainIdx;
/**
* Train image index.
*/
public int imgIdx;
// javadoc: DMatch::distance
public float distance;
// javadoc: DMatch::DMatch()
public DMatch() {
this(-1, -1, Float.MAX_VALUE);
}
// javadoc: DMatch::DMatch(_queryIdx, _trainIdx, _distance)
public DMatch(int _queryIdx, int _trainIdx, float _distance) {
queryIdx = _queryIdx;
trainIdx = _trainIdx;
imgIdx = -1;
distance = _distance;
}
// javadoc: DMatch::DMatch(_queryIdx, _trainIdx, _imgIdx, _distance)
public DMatch(int _queryIdx, int _trainIdx, int _imgIdx, float _distance) {
queryIdx = _queryIdx;
trainIdx = _trainIdx;
imgIdx = _imgIdx;
distance = _distance;
}
public boolean lessThan(DMatch it) {
return distance < it.distance;
}
@Override
public String toString() {
return "DMatch [queryIdx=" + queryIdx + ", trainIdx=" + trainIdx
+ ", imgIdx=" + imgIdx + ", distance=" + distance + "]";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/KeyPoint.java
+83
View File
@@ -0,0 +1,83 @@
package org.opencv.core;
import org.opencv.core.Point;
//javadoc: KeyPoint
public class KeyPoint {
/**
* Coordinates of the keypoint.
*/
public Point pt;
/**
* Diameter of the useful keypoint adjacent area.
*/
public float size;
/**
* Computed orientation of the keypoint (-1 if not applicable).
*/
public float angle;
/**
* The response, by which the strongest keypoints have been selected. Can
* be used for further sorting or subsampling.
*/
public float response;
/**
* Octave (pyramid layer), from which the keypoint has been extracted.
*/
public int octave;
/**
* Object ID, that can be used to cluster keypoints by an object they
* belong to.
*/
public int class_id;
// javadoc:KeyPoint::KeyPoint(x,y,_size,_angle,_response,_octave,_class_id)
public KeyPoint(float x, float y, float _size, float _angle, float _response, int _octave, int _class_id)
{
pt = new Point(x, y);
size = _size;
angle = _angle;
response = _response;
octave = _octave;
class_id = _class_id;
}
// javadoc: KeyPoint::KeyPoint()
public KeyPoint()
{
this(0, 0, 0, -1, 0, 0, -1);
}
// javadoc: KeyPoint::KeyPoint(x, y, _size, _angle, _response, _octave)
public KeyPoint(float x, float y, float _size, float _angle, float _response, int _octave)
{
this(x, y, _size, _angle, _response, _octave, -1);
}
// javadoc: KeyPoint::KeyPoint(x, y, _size, _angle, _response)
public KeyPoint(float x, float y, float _size, float _angle, float _response)
{
this(x, y, _size, _angle, _response, 0, -1);
}
// javadoc: KeyPoint::KeyPoint(x, y, _size, _angle)
public KeyPoint(float x, float y, float _size, float _angle)
{
this(x, y, _size, _angle, 0, 0, -1);
}
// javadoc: KeyPoint::KeyPoint(x, y, _size)
public KeyPoint(float x, float y, float _size)
{
this(x, y, _size, -1, 0, 0, -1);
}
@Override
public String toString() {
return "KeyPoint [pt=" + pt + ", size=" + size + ", angle=" + angle
+ ", response=" + response + ", octave=" + octave
+ ", class_id=" + class_id + "]";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Mat.java
+1351
View File
File diff suppressed because it is too large Load Diff
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfByte.java
+98
View File
@@ -0,0 +1,98 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfByte extends Mat {
// 8UC(x)
private static final int _depth = CvType.CV_8U;
private static final int _channels = 1;
public MatOfByte() {
super();
}
protected MatOfByte(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfByte fromNativeAddr(long addr) {
return new MatOfByte(addr);
}
public MatOfByte(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfByte(byte...a) {
super();
fromArray(a);
}
public MatOfByte(int offset, int length, byte...a) {
super();
fromArray(offset, length, a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(byte...a) {
if(a==null || a.length==0)
return;
int num = a.length / _channels;
alloc(num);
put(0, 0, a); //TODO: check ret val!
}
public void fromArray(int offset, int length, byte...a) {
if (offset < 0)
throw new IllegalArgumentException("offset < 0");
if (a == null)
throw new NullPointerException();
if (length < 0 || length + offset > a.length)
throw new IllegalArgumentException("invalid 'length' parameter: " + Integer.toString(length));
if (a.length == 0)
return;
int num = length / _channels;
alloc(num);
put(0, 0, a, offset, length); //TODO: check ret val!
}
public byte[] toArray() {
int num = checkVector(_channels, _depth);
if(num < 0)
throw new RuntimeException("Native Mat has unexpected type or size: " + toString());
byte[] a = new byte[num * _channels];
if(num == 0)
return a;
get(0, 0, a); //TODO: check ret val!
return a;
}
public void fromList(List<Byte> lb) {
if(lb==null || lb.size()==0)
return;
Byte ab[] = lb.toArray(new Byte[0]);
byte a[] = new byte[ab.length];
for(int i=0; i<ab.length; i++)
a[i] = ab[i];
fromArray(a);
}
public List<Byte> toList() {
byte[] a = toArray();
Byte ab[] = new Byte[a.length];
for(int i=0; i<a.length; i++)
ab[i] = a[i];
return Arrays.asList(ab);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfDMatch.java
+83
View File
@@ -0,0 +1,83 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
import org.opencv.core.DMatch;
public class MatOfDMatch extends Mat {
// 32FC4
private static final int _depth = CvType.CV_32F;
private static final int _channels = 4;
public MatOfDMatch() {
super();
}
protected MatOfDMatch(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat: " + toString());
//FIXME: do we need release() here?
}
public static MatOfDMatch fromNativeAddr(long addr) {
return new MatOfDMatch(addr);
}
public MatOfDMatch(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat: " + toString());
//FIXME: do we need release() here?
}
public MatOfDMatch(DMatch...ap) {
super();
fromArray(ap);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(DMatch...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
float buff[] = new float[num * _channels];
for(int i=0; i<num; i++) {
DMatch m = a[i];
buff[_channels*i+0] = m.queryIdx;
buff[_channels*i+1] = m.trainIdx;
buff[_channels*i+2] = m.imgIdx;
buff[_channels*i+3] = m.distance;
}
put(0, 0, buff); //TODO: check ret val!
}
public DMatch[] toArray() {
int num = (int) total();
DMatch[] a = new DMatch[num];
if(num == 0)
return a;
float buff[] = new float[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
a[i] = new DMatch((int) buff[_channels*i+0], (int) buff[_channels*i+1], (int) buff[_channels*i+2], buff[_channels*i+3]);
return a;
}
public void fromList(List<DMatch> ldm) {
DMatch adm[] = ldm.toArray(new DMatch[0]);
fromArray(adm);
}
public List<DMatch> toList() {
DMatch[] adm = toArray();
return Arrays.asList(adm);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfDouble.java
+79
View File
@@ -0,0 +1,79 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfDouble extends Mat {
// 64FC(x)
private static final int _depth = CvType.CV_64F;
private static final int _channels = 1;
public MatOfDouble() {
super();
}
protected MatOfDouble(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfDouble fromNativeAddr(long addr) {
return new MatOfDouble(addr);
}
public MatOfDouble(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfDouble(double...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(double...a) {
if(a==null || a.length==0)
return;
int num = a.length / _channels;
alloc(num);
put(0, 0, a); //TODO: check ret val!
}
public double[] toArray() {
int num = checkVector(_channels, _depth);
if(num < 0)
throw new RuntimeException("Native Mat has unexpected type or size: " + toString());
double[] a = new double[num * _channels];
if(num == 0)
return a;
get(0, 0, a); //TODO: check ret val!
return a;
}
public void fromList(List<Double> lb) {
if(lb==null || lb.size()==0)
return;
Double ab[] = lb.toArray(new Double[0]);
double a[] = new double[ab.length];
for(int i=0; i<ab.length; i++)
a[i] = ab[i];
fromArray(a);
}
public List<Double> toList() {
double[] a = toArray();
Double ab[] = new Double[a.length];
for(int i=0; i<a.length; i++)
ab[i] = a[i];
return Arrays.asList(ab);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfFloat.java
+79
View File
@@ -0,0 +1,79 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfFloat extends Mat {
// 32FC1
private static final int _depth = CvType.CV_32F;
private static final int _channels = 1;
public MatOfFloat() {
super();
}
protected MatOfFloat(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfFloat fromNativeAddr(long addr) {
return new MatOfFloat(addr);
}
public MatOfFloat(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfFloat(float...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(float...a) {
if(a==null || a.length==0)
return;
int num = a.length / _channels;
alloc(num);
put(0, 0, a); //TODO: check ret val!
}
public float[] toArray() {
int num = checkVector(_channels, _depth);
if(num < 0)
throw new RuntimeException("Native Mat has unexpected type or size: " + toString());
float[] a = new float[num * _channels];
if(num == 0)
return a;
get(0, 0, a); //TODO: check ret val!
return a;
}
public void fromList(List<Float> lb) {
if(lb==null || lb.size()==0)
return;
Float ab[] = lb.toArray(new Float[0]);
float a[] = new float[ab.length];
for(int i=0; i<ab.length; i++)
a[i] = ab[i];
fromArray(a);
}
public List<Float> toList() {
float[] a = toArray();
Float ab[] = new Float[a.length];
for(int i=0; i<a.length; i++)
ab[i] = a[i];
return Arrays.asList(ab);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfFloat4.java
+79
View File
@@ -0,0 +1,79 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfFloat4 extends Mat {
// 32FC4
private static final int _depth = CvType.CV_32F;
private static final int _channels = 4;
public MatOfFloat4() {
super();
}
protected MatOfFloat4(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfFloat4 fromNativeAddr(long addr) {
return new MatOfFloat4(addr);
}
public MatOfFloat4(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfFloat4(float...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(float...a) {
if(a==null || a.length==0)
return;
int num = a.length / _channels;
alloc(num);
put(0, 0, a); //TODO: check ret val!
}
public float[] toArray() {
int num = checkVector(_channels, _depth);
if(num < 0)
throw new RuntimeException("Native Mat has unexpected type or size: " + toString());
float[] a = new float[num * _channels];
if(num == 0)
return a;
get(0, 0, a); //TODO: check ret val!
return a;
}
public void fromList(List<Float> lb) {
if(lb==null || lb.size()==0)
return;
Float ab[] = lb.toArray(new Float[0]);
float a[] = new float[ab.length];
for(int i=0; i<ab.length; i++)
a[i] = ab[i];
fromArray(a);
}
public List<Float> toList() {
float[] a = toArray();
Float ab[] = new Float[a.length];
for(int i=0; i<a.length; i++)
ab[i] = a[i];
return Arrays.asList(ab);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfFloat6.java
+79
View File
@@ -0,0 +1,79 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfFloat6 extends Mat {
// 32FC6
private static final int _depth = CvType.CV_32F;
private static final int _channels = 6;
public MatOfFloat6() {
super();
}
protected MatOfFloat6(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfFloat6 fromNativeAddr(long addr) {
return new MatOfFloat6(addr);
}
public MatOfFloat6(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfFloat6(float...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(float...a) {
if(a==null || a.length==0)
return;
int num = a.length / _channels;
alloc(num);
put(0, 0, a); //TODO: check ret val!
}
public float[] toArray() {
int num = checkVector(_channels, _depth);
if(num < 0)
throw new RuntimeException("Native Mat has unexpected type or size: " + toString());
float[] a = new float[num * _channels];
if(num == 0)
return a;
get(0, 0, a); //TODO: check ret val!
return a;
}
public void fromList(List<Float> lb) {
if(lb==null || lb.size()==0)
return;
Float ab[] = lb.toArray(new Float[0]);
float a[] = new float[ab.length];
for(int i=0; i<ab.length; i++)
a[i] = ab[i];
fromArray(a);
}
public List<Float> toList() {
float[] a = toArray();
Float ab[] = new Float[a.length];
for(int i=0; i<a.length; i++)
ab[i] = a[i];
return Arrays.asList(ab);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfInt.java
+80
View File
@@ -0,0 +1,80 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfInt extends Mat {
// 32SC1
private static final int _depth = CvType.CV_32S;
private static final int _channels = 1;
public MatOfInt() {
super();
}
protected MatOfInt(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfInt fromNativeAddr(long addr) {
return new MatOfInt(addr);
}
public MatOfInt(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfInt(int...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(int...a) {
if(a==null || a.length==0)
return;
int num = a.length / _channels;
alloc(num);
put(0, 0, a); //TODO: check ret val!
}
public int[] toArray() {
int num = checkVector(_channels, _depth);
if(num < 0)
throw new RuntimeException("Native Mat has unexpected type or size: " + toString());
int[] a = new int[num * _channels];
if(num == 0)
return a;
get(0, 0, a); //TODO: check ret val!
return a;
}
public void fromList(List<Integer> lb) {
if(lb==null || lb.size()==0)
return;
Integer ab[] = lb.toArray(new Integer[0]);
int a[] = new int[ab.length];
for(int i=0; i<ab.length; i++)
a[i] = ab[i];
fromArray(a);
}
public List<Integer> toList() {
int[] a = toArray();
Integer ab[] = new Integer[a.length];
for(int i=0; i<a.length; i++)
ab[i] = a[i];
return Arrays.asList(ab);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfInt4.java
+80
View File
@@ -0,0 +1,80 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfInt4 extends Mat {
// 32SC4
private static final int _depth = CvType.CV_32S;
private static final int _channels = 4;
public MatOfInt4() {
super();
}
protected MatOfInt4(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfInt4 fromNativeAddr(long addr) {
return new MatOfInt4(addr);
}
public MatOfInt4(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfInt4(int...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(int...a) {
if(a==null || a.length==0)
return;
int num = a.length / _channels;
alloc(num);
put(0, 0, a); //TODO: check ret val!
}
public int[] toArray() {
int num = checkVector(_channels, _depth);
if(num < 0)
throw new RuntimeException("Native Mat has unexpected type or size: " + toString());
int[] a = new int[num * _channels];
if(num == 0)
return a;
get(0, 0, a); //TODO: check ret val!
return a;
}
public void fromList(List<Integer> lb) {
if(lb==null || lb.size()==0)
return;
Integer ab[] = lb.toArray(new Integer[0]);
int a[] = new int[ab.length];
for(int i=0; i<ab.length; i++)
a[i] = ab[i];
fromArray(a);
}
public List<Integer> toList() {
int[] a = toArray();
Integer ab[] = new Integer[a.length];
for(int i=0; i<a.length; i++)
ab[i] = a[i];
return Arrays.asList(ab);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfKeyPoint.java
+86
View File
@@ -0,0 +1,86 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
import org.opencv.core.KeyPoint;
public class MatOfKeyPoint extends Mat {
// 32FC7
private static final int _depth = CvType.CV_32F;
private static final int _channels = 7;
public MatOfKeyPoint() {
super();
}
protected MatOfKeyPoint(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfKeyPoint fromNativeAddr(long addr) {
return new MatOfKeyPoint(addr);
}
public MatOfKeyPoint(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfKeyPoint(KeyPoint...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(KeyPoint...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
float buff[] = new float[num * _channels];
for(int i=0; i<num; i++) {
KeyPoint kp = a[i];
buff[_channels*i+0] = (float) kp.pt.x;
buff[_channels*i+1] = (float) kp.pt.y;
buff[_channels*i+2] = kp.size;
buff[_channels*i+3] = kp.angle;
buff[_channels*i+4] = kp.response;
buff[_channels*i+5] = kp.octave;
buff[_channels*i+6] = kp.class_id;
}
put(0, 0, buff); //TODO: check ret val!
}
public KeyPoint[] toArray() {
int num = (int) total();
KeyPoint[] a = new KeyPoint[num];
if(num == 0)
return a;
float buff[] = new float[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
a[i] = new KeyPoint( buff[_channels*i+0], buff[_channels*i+1], buff[_channels*i+2], buff[_channels*i+3],
buff[_channels*i+4], (int) buff[_channels*i+5], (int) buff[_channels*i+6] );
return a;
}
public void fromList(List<KeyPoint> lkp) {
KeyPoint akp[] = lkp.toArray(new KeyPoint[0]);
fromArray(akp);
}
public List<KeyPoint> toList() {
KeyPoint[] akp = toArray();
return Arrays.asList(akp);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfPoint.java
+78
View File
@@ -0,0 +1,78 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfPoint extends Mat {
// 32SC2
private static final int _depth = CvType.CV_32S;
private static final int _channels = 2;
public MatOfPoint() {
super();
}
protected MatOfPoint(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfPoint fromNativeAddr(long addr) {
return new MatOfPoint(addr);
}
public MatOfPoint(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfPoint(Point...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(Point...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
int buff[] = new int[num * _channels];
for(int i=0; i<num; i++) {
Point p = a[i];
buff[_channels*i+0] = (int) p.x;
buff[_channels*i+1] = (int) p.y;
}
put(0, 0, buff); //TODO: check ret val!
}
public Point[] toArray() {
int num = (int) total();
Point[] ap = new Point[num];
if(num == 0)
return ap;
int buff[] = new int[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
ap[i] = new Point(buff[i*_channels], buff[i*_channels+1]);
return ap;
}
public void fromList(List<Point> lp) {
Point ap[] = lp.toArray(new Point[0]);
fromArray(ap);
}
public List<Point> toList() {
Point[] ap = toArray();
return Arrays.asList(ap);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfPoint2f.java
+78
View File
@@ -0,0 +1,78 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfPoint2f extends Mat {
// 32FC2
private static final int _depth = CvType.CV_32F;
private static final int _channels = 2;
public MatOfPoint2f() {
super();
}
protected MatOfPoint2f(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfPoint2f fromNativeAddr(long addr) {
return new MatOfPoint2f(addr);
}
public MatOfPoint2f(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfPoint2f(Point...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(Point...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
float buff[] = new float[num * _channels];
for(int i=0; i<num; i++) {
Point p = a[i];
buff[_channels*i+0] = (float) p.x;
buff[_channels*i+1] = (float) p.y;
}
put(0, 0, buff); //TODO: check ret val!
}
public Point[] toArray() {
int num = (int) total();
Point[] ap = new Point[num];
if(num == 0)
return ap;
float buff[] = new float[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
ap[i] = new Point(buff[i*_channels], buff[i*_channels+1]);
return ap;
}
public void fromList(List<Point> lp) {
Point ap[] = lp.toArray(new Point[0]);
fromArray(ap);
}
public List<Point> toList() {
Point[] ap = toArray();
return Arrays.asList(ap);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfPoint3.java
+79
View File
@@ -0,0 +1,79 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfPoint3 extends Mat {
// 32SC3
private static final int _depth = CvType.CV_32S;
private static final int _channels = 3;
public MatOfPoint3() {
super();
}
protected MatOfPoint3(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfPoint3 fromNativeAddr(long addr) {
return new MatOfPoint3(addr);
}
public MatOfPoint3(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfPoint3(Point3...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(Point3...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
int buff[] = new int[num * _channels];
for(int i=0; i<num; i++) {
Point3 p = a[i];
buff[_channels*i+0] = (int) p.x;
buff[_channels*i+1] = (int) p.y;
buff[_channels*i+2] = (int) p.z;
}
put(0, 0, buff); //TODO: check ret val!
}
public Point3[] toArray() {
int num = (int) total();
Point3[] ap = new Point3[num];
if(num == 0)
return ap;
int buff[] = new int[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
ap[i] = new Point3(buff[i*_channels], buff[i*_channels+1], buff[i*_channels+2]);
return ap;
}
public void fromList(List<Point3> lp) {
Point3 ap[] = lp.toArray(new Point3[0]);
fromArray(ap);
}
public List<Point3> toList() {
Point3[] ap = toArray();
return Arrays.asList(ap);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfPoint3f.java
+79
View File
@@ -0,0 +1,79 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfPoint3f extends Mat {
// 32FC3
private static final int _depth = CvType.CV_32F;
private static final int _channels = 3;
public MatOfPoint3f() {
super();
}
protected MatOfPoint3f(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfPoint3f fromNativeAddr(long addr) {
return new MatOfPoint3f(addr);
}
public MatOfPoint3f(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfPoint3f(Point3...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(Point3...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
float buff[] = new float[num * _channels];
for(int i=0; i<num; i++) {
Point3 p = a[i];
buff[_channels*i+0] = (float) p.x;
buff[_channels*i+1] = (float) p.y;
buff[_channels*i+2] = (float) p.z;
}
put(0, 0, buff); //TODO: check ret val!
}
public Point3[] toArray() {
int num = (int) total();
Point3[] ap = new Point3[num];
if(num == 0)
return ap;
float buff[] = new float[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
ap[i] = new Point3(buff[i*_channels], buff[i*_channels+1], buff[i*_channels+2]);
return ap;
}
public void fromList(List<Point3> lp) {
Point3 ap[] = lp.toArray(new Point3[0]);
fromArray(ap);
}
public List<Point3> toList() {
Point3[] ap = toArray();
return Arrays.asList(ap);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfRect.java
+81
View File
@@ -0,0 +1,81 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfRect extends Mat {
// 32SC4
private static final int _depth = CvType.CV_32S;
private static final int _channels = 4;
public MatOfRect() {
super();
}
protected MatOfRect(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfRect fromNativeAddr(long addr) {
return new MatOfRect(addr);
}
public MatOfRect(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfRect(Rect...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(Rect...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
int buff[] = new int[num * _channels];
for(int i=0; i<num; i++) {
Rect r = a[i];
buff[_channels*i+0] = (int) r.x;
buff[_channels*i+1] = (int) r.y;
buff[_channels*i+2] = (int) r.width;
buff[_channels*i+3] = (int) r.height;
}
put(0, 0, buff); //TODO: check ret val!
}
public Rect[] toArray() {
int num = (int) total();
Rect[] a = new Rect[num];
if(num == 0)
return a;
int buff[] = new int[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
a[i] = new Rect(buff[i*_channels], buff[i*_channels+1], buff[i*_channels+2], buff[i*_channels+3]);
return a;
}
public void fromList(List<Rect> lr) {
Rect ap[] = lr.toArray(new Rect[0]);
fromArray(ap);
}
public List<Rect> toList() {
Rect[] ar = toArray();
return Arrays.asList(ar);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/MatOfRect2d.java
+81
View File
@@ -0,0 +1,81 @@
package org.opencv.core;
import java.util.Arrays;
import java.util.List;
public class MatOfRect2d extends Mat {
// 64FC4
private static final int _depth = CvType.CV_64F;
private static final int _channels = 4;
public MatOfRect2d() {
super();
}
protected MatOfRect2d(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfRect2d fromNativeAddr(long addr) {
return new MatOfRect2d(addr);
}
public MatOfRect2d(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfRect2d(Rect2d...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(Rect2d...a) {
if(a==null || a.length==0)
return;
int num = a.length;
alloc(num);
double buff[] = new double[num * _channels];
for(int i=0; i<num; i++) {
Rect2d r = a[i];
buff[_channels*i+0] = (double) r.x;
buff[_channels*i+1] = (double) r.y;
buff[_channels*i+2] = (double) r.width;
buff[_channels*i+3] = (double) r.height;
}
put(0, 0, buff); //TODO: check ret val!
}
public Rect2d[] toArray() {
int num = (int) total();
Rect2d[] a = new Rect2d[num];
if(num == 0)
return a;
double buff[] = new double[num * _channels];
get(0, 0, buff); //TODO: check ret val!
for(int i=0; i<num; i++)
a[i] = new Rect2d(buff[i*_channels], buff[i*_channels+1], buff[i*_channels+2], buff[i*_channels+3]);
return a;
}
public void fromList(List<Rect2d> lr) {
Rect2d ap[] = lr.toArray(new Rect2d[0]);
fromArray(ap);
}
public List<Rect2d> toList() {
Rect2d[] ar = toArray();
return Arrays.asList(ar);
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Point.java
+68
View File
@@ -0,0 +1,68 @@
package org.opencv.core;
//javadoc:Point_
public class Point {
public double x, y;
public Point(double x, double y) {
this.x = x;
this.y = y;
}
public Point() {
this(0, 0);
}
public Point(double[] vals) {
this();
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
x = vals.length > 0 ? vals[0] : 0;
y = vals.length > 1 ? vals[1] : 0;
} else {
x = 0;
y = 0;
}
}
public Point clone() {
return new Point(x, y);
}
public double dot(Point p) {
return x * p.x + y * p.y;
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(x);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(y);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof Point)) return false;
Point it = (Point) obj;
return x == it.x && y == it.y;
}
public boolean inside(Rect r) {
return r.contains(this);
}
@Override
public String toString() {
return "{" + x + ", " + y + "}";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Point3.java
+79
View File
@@ -0,0 +1,79 @@
package org.opencv.core;
//javadoc:Point3_
public class Point3 {
public double x, y, z;
public Point3(double x, double y, double z) {
this.x = x;
this.y = y;
this.z = z;
}
public Point3() {
this(0, 0, 0);
}
public Point3(Point p) {
x = p.x;
y = p.y;
z = 0;
}
public Point3(double[] vals) {
this();
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
x = vals.length > 0 ? vals[0] : 0;
y = vals.length > 1 ? vals[1] : 0;
z = vals.length > 2 ? vals[2] : 0;
} else {
x = 0;
y = 0;
z = 0;
}
}
public Point3 clone() {
return new Point3(x, y, z);
}
public double dot(Point3 p) {
return x * p.x + y * p.y + z * p.z;
}
public Point3 cross(Point3 p) {
return new Point3(y * p.z - z * p.y, z * p.x - x * p.z, x * p.y - y * p.x);
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(x);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(y);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(z);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof Point3)) return false;
Point3 it = (Point3) obj;
return x == it.x && y == it.y && z == it.z;
}
@Override
public String toString() {
return "{" + x + ", " + y + ", " + z + "}";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Range.java
+82
View File
@@ -0,0 +1,82 @@
package org.opencv.core;
//javadoc:Range
public class Range {
public int start, end;
public Range(int s, int e) {
this.start = s;
this.end = e;
}
public Range() {
this(0, 0);
}
public Range(double[] vals) {
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
start = vals.length > 0 ? (int) vals[0] : 0;
end = vals.length > 1 ? (int) vals[1] : 0;
} else {
start = 0;
end = 0;
}
}
public int size() {
return empty() ? 0 : end - start;
}
public boolean empty() {
return end <= start;
}
public static Range all() {
return new Range(Integer.MIN_VALUE, Integer.MAX_VALUE);
}
public Range intersection(Range r1) {
Range r = new Range(Math.max(r1.start, this.start), Math.min(r1.end, this.end));
r.end = Math.max(r.end, r.start);
return r;
}
public Range shift(int delta) {
return new Range(start + delta, end + delta);
}
public Range clone() {
return new Range(start, end);
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(start);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(end);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof Range)) return false;
Range it = (Range) obj;
return start == it.start && end == it.end;
}
@Override
public String toString() {
return "[" + start + ", " + end + ")";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Rect.java
+104
View File
@@ -0,0 +1,104 @@
package org.opencv.core;
//javadoc:Rect_
public class Rect {
public int x, y, width, height;
public Rect(int x, int y, int width, int height) {
this.x = x;
this.y = y;
this.width = width;
this.height = height;
}
public Rect() {
this(0, 0, 0, 0);
}
public Rect(Point p1, Point p2) {
x = (int) (p1.x < p2.x ? p1.x : p2.x);
y = (int) (p1.y < p2.y ? p1.y : p2.y);
width = (int) (p1.x > p2.x ? p1.x : p2.x) - x;
height = (int) (p1.y > p2.y ? p1.y : p2.y) - y;
}
public Rect(Point p, Size s) {
this((int) p.x, (int) p.y, (int) s.width, (int) s.height);
}
public Rect(double[] vals) {
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
x = vals.length > 0 ? (int) vals[0] : 0;
y = vals.length > 1 ? (int) vals[1] : 0;
width = vals.length > 2 ? (int) vals[2] : 0;
height = vals.length > 3 ? (int) vals[3] : 0;
} else {
x = 0;
y = 0;
width = 0;
height = 0;
}
}
public Rect clone() {
return new Rect(x, y, width, height);
}
public Point tl() {
return new Point(x, y);
}
public Point br() {
return new Point(x + width, y + height);
}
public Size size() {
return new Size(width, height);
}
public double area() {
return width * height;
}
public boolean empty() {
return width <= 0 || height <= 0;
}
public boolean contains(Point p) {
return x <= p.x && p.x < x + width && y <= p.y && p.y < y + height;
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(height);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(width);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(x);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(y);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof Rect)) return false;
Rect it = (Rect) obj;
return x == it.x && y == it.y && width == it.width && height == it.height;
}
@Override
public String toString() {
return "{" + x + ", " + y + ", " + width + "x" + height + "}";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Rect2d.java
+104
View File
@@ -0,0 +1,104 @@
package org.opencv.core;
//javadoc:Rect2d_
public class Rect2d {
public double x, y, width, height;
public Rect2d(double x, double y, double width, double height) {
this.x = x;
this.y = y;
this.width = width;
this.height = height;
}
public Rect2d() {
this(0, 0, 0, 0);
}
public Rect2d(Point p1, Point p2) {
x = (double) (p1.x < p2.x ? p1.x : p2.x);
y = (double) (p1.y < p2.y ? p1.y : p2.y);
width = (double) (p1.x > p2.x ? p1.x : p2.x) - x;
height = (double) (p1.y > p2.y ? p1.y : p2.y) - y;
}
public Rect2d(Point p, Size s) {
this((double) p.x, (double) p.y, (double) s.width, (double) s.height);
}
public Rect2d(double[] vals) {
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
x = vals.length > 0 ? (double) vals[0] : 0;
y = vals.length > 1 ? (double) vals[1] : 0;
width = vals.length > 2 ? (double) vals[2] : 0;
height = vals.length > 3 ? (double) vals[3] : 0;
} else {
x = 0;
y = 0;
width = 0;
height = 0;
}
}
public Rect2d clone() {
return new Rect2d(x, y, width, height);
}
public Point tl() {
return new Point(x, y);
}
public Point br() {
return new Point(x + width, y + height);
}
public Size size() {
return new Size(width, height);
}
public double area() {
return width * height;
}
public boolean empty() {
return width <= 0 || height <= 0;
}
public boolean contains(Point p) {
return x <= p.x && p.x < x + width && y <= p.y && p.y < y + height;
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(height);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(width);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(x);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(y);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof Rect2d)) return false;
Rect2d it = (Rect2d) obj;
return x == it.x && y == it.y && width == it.width && height == it.height;
}
@Override
public String toString() {
return "{" + x + ", " + y + ", " + width + "x" + height + "}";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/RotatedRect.java
+113
View File
@@ -0,0 +1,113 @@
package org.opencv.core;
//javadoc:RotatedRect_
public class RotatedRect {
public Point center;
public Size size;
public double angle;
public RotatedRect() {
this.center = new Point();
this.size = new Size();
this.angle = 0;
}
public RotatedRect(Point c, Size s, double a) {
this.center = c.clone();
this.size = s.clone();
this.angle = a;
}
public RotatedRect(double[] vals) {
this();
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
center.x = vals.length > 0 ? (double) vals[0] : 0;
center.y = vals.length > 1 ? (double) vals[1] : 0;
size.width = vals.length > 2 ? (double) vals[2] : 0;
size.height = vals.length > 3 ? (double) vals[3] : 0;
angle = vals.length > 4 ? (double) vals[4] : 0;
} else {
center.x = 0;
center.x = 0;
size.width = 0;
size.height = 0;
angle = 0;
}
}
public void points(Point pt[])
{
double _angle = angle * Math.PI / 180.0;
double b = (double) Math.cos(_angle) * 0.5f;
double a = (double) Math.sin(_angle) * 0.5f;
pt[0] = new Point(
center.x - a * size.height - b * size.width,
center.y + b * size.height - a * size.width);
pt[1] = new Point(
center.x + a * size.height - b * size.width,
center.y - b * size.height - a * size.width);
pt[2] = new Point(
2 * center.x - pt[0].x,
2 * center.y - pt[0].y);
pt[3] = new Point(
2 * center.x - pt[1].x,
2 * center.y - pt[1].y);
}
public Rect boundingRect()
{
Point pt[] = new Point[4];
points(pt);
Rect r = new Rect((int) Math.floor(Math.min(Math.min(Math.min(pt[0].x, pt[1].x), pt[2].x), pt[3].x)),
(int) Math.floor(Math.min(Math.min(Math.min(pt[0].y, pt[1].y), pt[2].y), pt[3].y)),
(int) Math.ceil(Math.max(Math.max(Math.max(pt[0].x, pt[1].x), pt[2].x), pt[3].x)),
(int) Math.ceil(Math.max(Math.max(Math.max(pt[0].y, pt[1].y), pt[2].y), pt[3].y)));
r.width -= r.x - 1;
r.height -= r.y - 1;
return r;
}
public RotatedRect clone() {
return new RotatedRect(center, size, angle);
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(center.x);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(center.y);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(size.width);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(size.height);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(angle);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof RotatedRect)) return false;
RotatedRect it = (RotatedRect) obj;
return center.equals(it.center) && size.equals(it.size) && angle == it.angle;
}
@Override
public String toString() {
return "{ " + center + " " + size + " * " + angle + " }";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Scalar.java
+90
View File
@@ -0,0 +1,90 @@
package org.opencv.core;
//javadoc:Scalar_
public class Scalar {
public double val[];
public Scalar(double v0, double v1, double v2, double v3) {
val = new double[] { v0, v1, v2, v3 };
}
public Scalar(double v0, double v1, double v2) {
val = new double[] { v0, v1, v2, 0 };
}
public Scalar(double v0, double v1) {
val = new double[] { v0, v1, 0, 0 };
}
public Scalar(double v0) {
val = new double[] { v0, 0, 0, 0 };
}
public Scalar(double[] vals) {
if (vals != null && vals.length == 4)
val = vals.clone();
else {
val = new double[4];
set(vals);
}
}
public void set(double[] vals) {
if (vals != null) {
val[0] = vals.length > 0 ? vals[0] : 0;
val[1] = vals.length > 1 ? vals[1] : 0;
val[2] = vals.length > 2 ? vals[2] : 0;
val[3] = vals.length > 3 ? vals[3] : 0;
} else
val[0] = val[1] = val[2] = val[3] = 0;
}
public static Scalar all(double v) {
return new Scalar(v, v, v, v);
}
public Scalar clone() {
return new Scalar(val);
}
public Scalar mul(Scalar it, double scale) {
return new Scalar(val[0] * it.val[0] * scale, val[1] * it.val[1] * scale,
val[2] * it.val[2] * scale, val[3] * it.val[3] * scale);
}
public Scalar mul(Scalar it) {
return mul(it, 1);
}
public Scalar conj() {
return new Scalar(val[0], -val[1], -val[2], -val[3]);
}
public boolean isReal() {
return val[1] == 0 && val[2] == 0 && val[3] == 0;
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
result = prime * result + java.util.Arrays.hashCode(val);
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof Scalar)) return false;
Scalar it = (Scalar) obj;
if (!java.util.Arrays.equals(val, it.val)) return false;
return true;
}
@Override
public String toString() {
return "[" + val[0] + ", " + val[1] + ", " + val[2] + ", " + val[3] + "]";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/Size.java
+73
View File
@@ -0,0 +1,73 @@
package org.opencv.core;
//javadoc:Size_
public class Size {
public double width, height;
public Size(double width, double height) {
this.width = width;
this.height = height;
}
public Size() {
this(0, 0);
}
public Size(Point p) {
width = p.x;
height = p.y;
}
public Size(double[] vals) {
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
width = vals.length > 0 ? vals[0] : 0;
height = vals.length > 1 ? vals[1] : 0;
} else {
width = 0;
height = 0;
}
}
public double area() {
return width * height;
}
public boolean empty() {
return width <= 0 || height <= 0;
}
public Size clone() {
return new Size(width, height);
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(height);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(width);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof Size)) return false;
Size it = (Size) obj;
return width == it.width && height == it.height;
}
@Override
public String toString() {
return (int)width + "x" + (int)height;
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/TermCriteria.java
+92
View File
@@ -0,0 +1,92 @@
package org.opencv.core;
//javadoc:TermCriteria
public class TermCriteria {
/**
* The maximum number of iterations or elements to compute
*/
public static final int COUNT = 1;
/**
* The maximum number of iterations or elements to compute
*/
public static final int MAX_ITER = COUNT;
/**
* The desired accuracy threshold or change in parameters at which the iterative algorithm is terminated.
*/
public static final int EPS = 2;
public int type;
public int maxCount;
public double epsilon;
/**
* Termination criteria for iterative algorithms.
*
* @param type
* the type of termination criteria: COUNT, EPS or COUNT + EPS.
* @param maxCount
* the maximum number of iterations/elements.
* @param epsilon
* the desired accuracy.
*/
public TermCriteria(int type, int maxCount, double epsilon) {
this.type = type;
this.maxCount = maxCount;
this.epsilon = epsilon;
}
/**
* Termination criteria for iterative algorithms.
*/
public TermCriteria() {
this(0, 0, 0.0);
}
public TermCriteria(double[] vals) {
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
type = vals.length > 0 ? (int) vals[0] : 0;
maxCount = vals.length > 1 ? (int) vals[1] : 0;
epsilon = vals.length > 2 ? (double) vals[2] : 0;
} else {
type = 0;
maxCount = 0;
epsilon = 0;
}
}
public TermCriteria clone() {
return new TermCriteria(type, maxCount, epsilon);
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(type);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(maxCount);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(epsilon);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof TermCriteria)) return false;
TermCriteria it = (TermCriteria) obj;
return type == it.type && maxCount == it.maxCount && epsilon == it.epsilon;
}
@Override
public String toString() {
return "{ type: " + type + ", maxCount: " + maxCount + ", epsilon: " + epsilon + "}";
}
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/core/TickMeter.java
+184
View File
@@ -0,0 +1,184 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.core;
// C++: class TickMeter
//javadoc: TickMeter
public class TickMeter {
protected final long nativeObj;
protected TickMeter(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static TickMeter __fromPtr__(long addr) { return new TickMeter(addr); }
//
// C++: TickMeter()
//
//javadoc: TickMeter::TickMeter()
public TickMeter()
{
nativeObj = TickMeter_0();
return;
}
//
// C++: double getTimeMicro()
//
//javadoc: TickMeter::getTimeMicro()
public double getTimeMicro()
{
double retVal = getTimeMicro_0(nativeObj);
return retVal;
}
//
// C++: double getTimeMilli()
//
//javadoc: TickMeter::getTimeMilli()
public double getTimeMilli()
{
double retVal = getTimeMilli_0(nativeObj);
return retVal;
}
//
// C++: double getTimeSec()
//
//javadoc: TickMeter::getTimeSec()
public double getTimeSec()
{
double retVal = getTimeSec_0(nativeObj);
return retVal;
}
//
// C++: int64 getCounter()
//
//javadoc: TickMeter::getCounter()
public long getCounter()
{
long retVal = getCounter_0(nativeObj);
return retVal;
}
//
// C++: int64 getTimeTicks()
//
//javadoc: TickMeter::getTimeTicks()
public long getTimeTicks()
{
long retVal = getTimeTicks_0(nativeObj);
return retVal;
}
//
// C++: void reset()
//
//javadoc: TickMeter::reset()
public void reset()
{
reset_0(nativeObj);
return;
}
//
// C++: void start()
//
//javadoc: TickMeter::start()
public void start()
{
start_0(nativeObj);
return;
}
//
// C++: void stop()
//
//javadoc: TickMeter::stop()
public void stop()
{
stop_0(nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: TickMeter()
private static native long TickMeter_0();
// C++: double getTimeMicro()
private static native double getTimeMicro_0(long nativeObj);
// C++: double getTimeMilli()
private static native double getTimeMilli_0(long nativeObj);
// C++: double getTimeSec()
private static native double getTimeSec_0(long nativeObj);
// C++: int64 getCounter()
private static native long getCounter_0(long nativeObj);
// C++: int64 getTimeTicks()
private static native long getTimeTicks_0(long nativeObj);
// C++: void reset()
private static native void reset_0(long nativeObj);
// C++: void start()
private static native void start_0(long nativeObj);
// C++: void stop()
private static native void stop_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/dnn/DictValue.java
+214
View File
@@ -0,0 +1,214 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.dnn;
import java.lang.String;
// C++: class DictValue
//javadoc: DictValue
public class DictValue {
protected final long nativeObj;
protected DictValue(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static DictValue __fromPtr__(long addr) { return new DictValue(addr); }
//
// C++: DictValue(String s)
//
//javadoc: DictValue::DictValue(s)
public DictValue(String s)
{
nativeObj = DictValue_0(s);
return;
}
//
// C++: DictValue(double p)
//
//javadoc: DictValue::DictValue(p)
public DictValue(double p)
{
nativeObj = DictValue_1(p);
return;
}
//
// C++: DictValue(int i)
//
//javadoc: DictValue::DictValue(i)
public DictValue(int i)
{
nativeObj = DictValue_2(i);
return;
}
//
// C++: String getStringValue(int idx = -1)
//
//javadoc: DictValue::getStringValue(idx)
public String getStringValue(int idx)
{
String retVal = getStringValue_0(nativeObj, idx);
return retVal;
}
//javadoc: DictValue::getStringValue()
public String getStringValue()
{
String retVal = getStringValue_1(nativeObj);
return retVal;
}
//
// C++: bool isInt()
//
//javadoc: DictValue::isInt()
public boolean isInt()
{
boolean retVal = isInt_0(nativeObj);
return retVal;
}
//
// C++: bool isReal()
//
//javadoc: DictValue::isReal()
public boolean isReal()
{
boolean retVal = isReal_0(nativeObj);
return retVal;
}
//
// C++: bool isString()
//
//javadoc: DictValue::isString()
public boolean isString()
{
boolean retVal = isString_0(nativeObj);
return retVal;
}
//
// C++: double getRealValue(int idx = -1)
//
//javadoc: DictValue::getRealValue(idx)
public double getRealValue(int idx)
{
double retVal = getRealValue_0(nativeObj, idx);
return retVal;
}
//javadoc: DictValue::getRealValue()
public double getRealValue()
{
double retVal = getRealValue_1(nativeObj);
return retVal;
}
//
// C++: int getIntValue(int idx = -1)
//
//javadoc: DictValue::getIntValue(idx)
public int getIntValue(int idx)
{
int retVal = getIntValue_0(nativeObj, idx);
return retVal;
}
//javadoc: DictValue::getIntValue()
public int getIntValue()
{
int retVal = getIntValue_1(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: DictValue(String s)
private static native long DictValue_0(String s);
// C++: DictValue(double p)
private static native long DictValue_1(double p);
// C++: DictValue(int i)
private static native long DictValue_2(int i);
// C++: String getStringValue(int idx = -1)
private static native String getStringValue_0(long nativeObj, int idx);
private static native String getStringValue_1(long nativeObj);
// C++: bool isInt()
private static native boolean isInt_0(long nativeObj);
// C++: bool isReal()
private static native boolean isReal_0(long nativeObj);
// C++: bool isString()
private static native boolean isString_0(long nativeObj);
// C++: double getRealValue(int idx = -1)
private static native double getRealValue_0(long nativeObj, int idx);
private static native double getRealValue_1(long nativeObj);
// C++: int getIntValue(int idx = -1)
private static native int getIntValue_0(long nativeObj, int idx);
private static native int getIntValue_1(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/dnn/Dnn.java
+345
View File
@@ -0,0 +1,345 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.dnn;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfRect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.dnn.Net;
import org.opencv.utils.Converters;
// C++: class Dnn
//javadoc: Dnn
public class Dnn {
public static final int
DNN_BACKEND_DEFAULT = 0,
DNN_BACKEND_HALIDE = 1,
DNN_BACKEND_INFERENCE_ENGINE = 2,
DNN_BACKEND_OPENCV = 3,
DNN_TARGET_CPU = 0,
DNN_TARGET_OPENCL = 1,
DNN_TARGET_OPENCL_FP16 = 2,
DNN_TARGET_MYRIAD = 3;
//
// C++: Mat blobFromImage(Mat image, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
//
//javadoc: blobFromImage(image, scalefactor, size, mean, swapRB, crop)
public static Mat blobFromImage(Mat image, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop)
{
Mat retVal = new Mat(blobFromImage_0(image.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3], swapRB, crop));
return retVal;
}
//javadoc: blobFromImage(image)
public static Mat blobFromImage(Mat image)
{
Mat retVal = new Mat(blobFromImage_1(image.nativeObj));
return retVal;
}
//
// C++: Mat blobFromImages(vector_Mat images, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
//
//javadoc: blobFromImages(images, scalefactor, size, mean, swapRB, crop)
public static Mat blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_0(images_mat.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3], swapRB, crop));
return retVal;
}
//javadoc: blobFromImages(images)
public static Mat blobFromImages(List<Mat> images)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_1(images_mat.nativeObj));
return retVal;
}
//
// C++: Mat readTorchBlob(String filename, bool isBinary = true)
//
//javadoc: readTorchBlob(filename, isBinary)
public static Mat readTorchBlob(String filename, boolean isBinary)
{
Mat retVal = new Mat(readTorchBlob_0(filename, isBinary));
return retVal;
}
//javadoc: readTorchBlob(filename)
public static Mat readTorchBlob(String filename)
{
Mat retVal = new Mat(readTorchBlob_1(filename));
return retVal;
}
//
// C++: Net readNet(String model, String config = "", String framework = "")
//
//javadoc: readNet(model, config, framework)
public static Net readNet(String model, String config, String framework)
{
Net retVal = new Net(readNet_0(model, config, framework));
return retVal;
}
//javadoc: readNet(model)
public static Net readNet(String model)
{
Net retVal = new Net(readNet_1(model));
return retVal;
}
//
// C++: Net readNetFromCaffe(String prototxt, String caffeModel = String())
//
//javadoc: readNetFromCaffe(prototxt, caffeModel)
public static Net readNetFromCaffe(String prototxt, String caffeModel)
{
Net retVal = new Net(readNetFromCaffe_0(prototxt, caffeModel));
return retVal;
}
//javadoc: readNetFromCaffe(prototxt)
public static Net readNetFromCaffe(String prototxt)
{
Net retVal = new Net(readNetFromCaffe_1(prototxt));
return retVal;
}
//
// C++: Net readNetFromDarknet(String cfgFile, String darknetModel = String())
//
//javadoc: readNetFromDarknet(cfgFile, darknetModel)
public static Net readNetFromDarknet(String cfgFile, String darknetModel)
{
Net retVal = new Net(readNetFromDarknet_0(cfgFile, darknetModel));
return retVal;
}
//javadoc: readNetFromDarknet(cfgFile)
public static Net readNetFromDarknet(String cfgFile)
{
Net retVal = new Net(readNetFromDarknet_1(cfgFile));
return retVal;
}
//
// C++: Net readNetFromModelOptimizer(String xml, String bin)
//
//javadoc: readNetFromModelOptimizer(xml, bin)
public static Net readNetFromModelOptimizer(String xml, String bin)
{
Net retVal = new Net(readNetFromModelOptimizer_0(xml, bin));
return retVal;
}
//
// C++: Net readNetFromTensorflow(String model, String config = String())
//
//javadoc: readNetFromTensorflow(model, config)
public static Net readNetFromTensorflow(String model, String config)
{
Net retVal = new Net(readNetFromTensorflow_0(model, config));
return retVal;
}
//javadoc: readNetFromTensorflow(model)
public static Net readNetFromTensorflow(String model)
{
Net retVal = new Net(readNetFromTensorflow_1(model));
return retVal;
}
//
// C++: Net readNetFromTorch(String model, bool isBinary = true)
//
//javadoc: readNetFromTorch(model, isBinary)
public static Net readNetFromTorch(String model, boolean isBinary)
{
Net retVal = new Net(readNetFromTorch_0(model, isBinary));
return retVal;
}
//javadoc: readNetFromTorch(model)
public static Net readNetFromTorch(String model)
{
Net retVal = new Net(readNetFromTorch_1(model));
return retVal;
}
//
// C++: void NMSBoxes(vector_Rect bboxes, vector_float scores, float score_threshold, float nms_threshold, vector_int& indices, float eta = 1.f, int top_k = 0)
//
//javadoc: NMSBoxes(bboxes, scores, score_threshold, nms_threshold, indices, eta, top_k)
public static void NMSBoxes(MatOfRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta, int top_k)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxes_0(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj, eta, top_k);
return;
}
//javadoc: NMSBoxes(bboxes, scores, score_threshold, nms_threshold, indices)
public static void NMSBoxes(MatOfRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxes_1(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj);
return;
}
//
// C++: void imagesFromBlob(Mat blob_, vector_Mat& images_)
//
//javadoc: imagesFromBlob(blob_, images_)
public static void imagesFromBlob(Mat blob_, List<Mat> images_)
{
Mat images__mat = new Mat();
imagesFromBlob_0(blob_.nativeObj, images__mat.nativeObj);
Converters.Mat_to_vector_Mat(images__mat, images_);
images__mat.release();
return;
}
//
// C++: void shrinkCaffeModel(String src, String dst, vector_String layersTypes = std::vector<String>())
//
//javadoc: shrinkCaffeModel(src, dst, layersTypes)
public static void shrinkCaffeModel(String src, String dst, List<String> layersTypes)
{
shrinkCaffeModel_0(src, dst, layersTypes);
return;
}
//javadoc: shrinkCaffeModel(src, dst)
public static void shrinkCaffeModel(String src, String dst)
{
shrinkCaffeModel_1(src, dst);
return;
}
// C++: Mat blobFromImage(Mat image, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
private static native long blobFromImage_0(long image_nativeObj, double scalefactor, double size_width, double size_height, double mean_val0, double mean_val1, double mean_val2, double mean_val3, boolean swapRB, boolean crop);
private static native long blobFromImage_1(long image_nativeObj);
// C++: Mat blobFromImages(vector_Mat images, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
private static native long blobFromImages_0(long images_mat_nativeObj, double scalefactor, double size_width, double size_height, double mean_val0, double mean_val1, double mean_val2, double mean_val3, boolean swapRB, boolean crop);
private static native long blobFromImages_1(long images_mat_nativeObj);
// C++: Mat readTorchBlob(String filename, bool isBinary = true)
private static native long readTorchBlob_0(String filename, boolean isBinary);
private static native long readTorchBlob_1(String filename);
// C++: Net readNet(String model, String config = "", String framework = "")
private static native long readNet_0(String model, String config, String framework);
private static native long readNet_1(String model);
// C++: Net readNetFromCaffe(String prototxt, String caffeModel = String())
private static native long readNetFromCaffe_0(String prototxt, String caffeModel);
private static native long readNetFromCaffe_1(String prototxt);
// C++: Net readNetFromDarknet(String cfgFile, String darknetModel = String())
private static native long readNetFromDarknet_0(String cfgFile, String darknetModel);
private static native long readNetFromDarknet_1(String cfgFile);
// C++: Net readNetFromModelOptimizer(String xml, String bin)
private static native long readNetFromModelOptimizer_0(String xml, String bin);
// C++: Net readNetFromTensorflow(String model, String config = String())
private static native long readNetFromTensorflow_0(String model, String config);
private static native long readNetFromTensorflow_1(String model);
// C++: Net readNetFromTorch(String model, bool isBinary = true)
private static native long readNetFromTorch_0(String model, boolean isBinary);
private static native long readNetFromTorch_1(String model);
// C++: void NMSBoxes(vector_Rect bboxes, vector_float scores, float score_threshold, float nms_threshold, vector_int& indices, float eta = 1.f, int top_k = 0)
private static native void NMSBoxes_0(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj, float eta, int top_k);
private static native void NMSBoxes_1(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj);
// C++: void imagesFromBlob(Mat blob_, vector_Mat& images_)
private static native void imagesFromBlob_0(long blob__nativeObj, long images__mat_nativeObj);
// C++: void shrinkCaffeModel(String src, String dst, vector_String layersTypes = std::vector<String>())
private static native void shrinkCaffeModel_0(String src, String dst, List<String> layersTypes);
private static native void shrinkCaffeModel_1(String src, String dst);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/dnn/Layer.java
+194
View File
@@ -0,0 +1,194 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.dnn;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.utils.Converters;
// C++: class Layer
//javadoc: Layer
public class Layer extends Algorithm {
protected Layer(long addr) { super(addr); }
// internal usage only
public static Layer __fromPtr__(long addr) { return new Layer(addr); }
//
// C++: int outputNameToIndex(String outputName)
//
//javadoc: Layer::outputNameToIndex(outputName)
public int outputNameToIndex(String outputName)
{
int retVal = outputNameToIndex_0(nativeObj, outputName);
return retVal;
}
//
// C++: vector_Mat finalize(vector_Mat inputs)
//
//javadoc: Layer::finalize(inputs)
public List<Mat> finalize(List<Mat> inputs)
{
Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(finalize_0(nativeObj, inputs_mat.nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void finalize(vector_Mat inputs, vector_Mat& outputs)
//
//javadoc: Layer::finalize(inputs, outputs)
public void finalize(List<Mat> inputs, List<Mat> outputs)
{
Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
Mat outputs_mat = new Mat();
finalize_1(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj);
Converters.Mat_to_vector_Mat(outputs_mat, outputs);
outputs_mat.release();
return;
}
//
// C++: void run(vector_Mat inputs, vector_Mat& outputs, vector_Mat& internals)
//
//javadoc: Layer::run(inputs, outputs, internals)
public void run(List<Mat> inputs, List<Mat> outputs, List<Mat> internals)
{
Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
Mat outputs_mat = new Mat();
Mat internals_mat = Converters.vector_Mat_to_Mat(internals);
run_0(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj, internals_mat.nativeObj);
Converters.Mat_to_vector_Mat(outputs_mat, outputs);
outputs_mat.release();
Converters.Mat_to_vector_Mat(internals_mat, internals);
internals_mat.release();
return;
}
//
// C++: vector_Mat Layer::blobs
//
//javadoc: Layer::get_blobs()
public List<Mat> get_blobs()
{
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(get_blobs_0(nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void Layer::blobs
//
//javadoc: Layer::set_blobs(blobs)
public void set_blobs(List<Mat> blobs)
{
Mat blobs_mat = Converters.vector_Mat_to_Mat(blobs);
set_blobs_0(nativeObj, blobs_mat.nativeObj);
return;
}
//
// C++: String Layer::name
//
//javadoc: Layer::get_name()
public String get_name()
{
String retVal = get_name_0(nativeObj);
return retVal;
}
//
// C++: String Layer::type
//
//javadoc: Layer::get_type()
public String get_type()
{
String retVal = get_type_0(nativeObj);
return retVal;
}
//
// C++: int Layer::preferableTarget
//
//javadoc: Layer::get_preferableTarget()
public int get_preferableTarget()
{
int retVal = get_preferableTarget_0(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: int outputNameToIndex(String outputName)
private static native int outputNameToIndex_0(long nativeObj, String outputName);
// C++: vector_Mat finalize(vector_Mat inputs)
private static native long finalize_0(long nativeObj, long inputs_mat_nativeObj);
// C++: void finalize(vector_Mat inputs, vector_Mat& outputs)
private static native void finalize_1(long nativeObj, long inputs_mat_nativeObj, long outputs_mat_nativeObj);
// C++: void run(vector_Mat inputs, vector_Mat& outputs, vector_Mat& internals)
private static native void run_0(long nativeObj, long inputs_mat_nativeObj, long outputs_mat_nativeObj, long internals_mat_nativeObj);
// C++: vector_Mat Layer::blobs
private static native long get_blobs_0(long nativeObj);
// C++: void Layer::blobs
private static native void set_blobs_0(long nativeObj, long blobs_mat_nativeObj);
// C++: String Layer::name
private static native String get_name_0(long nativeObj);
// C++: String Layer::type
private static native String get_type_0(long nativeObj);
// C++: int Layer::preferableTarget
private static native int get_preferableTarget_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/dnn/Net.java
+622
View File
@@ -0,0 +1,622 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.dnn;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
import org.opencv.core.MatOfInt;
import org.opencv.dnn.DictValue;
import org.opencv.dnn.Layer;
import org.opencv.dnn.Net;
import org.opencv.utils.Converters;
// C++: class Net
//javadoc: Net
public class Net {
protected final long nativeObj;
protected Net(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static Net __fromPtr__(long addr) { return new Net(addr); }
//
// C++: Net()
//
//javadoc: Net::Net()
public Net()
{
nativeObj = Net_0();
return;
}
//
// C++: Mat forward(String outputName = String())
//
//javadoc: Net::forward(outputName)
public Mat forward(String outputName)
{
Mat retVal = new Mat(forward_0(nativeObj, outputName));
return retVal;
}
//javadoc: Net::forward()
public Mat forward()
{
Mat retVal = new Mat(forward_1(nativeObj));
return retVal;
}
//
// C++: Mat getParam(LayerId layer, int numParam = 0)
//
//javadoc: Net::getParam(layer, numParam)
public Mat getParam(DictValue layer, int numParam)
{
Mat retVal = new Mat(getParam_0(nativeObj, layer.getNativeObjAddr(), numParam));
return retVal;
}
//javadoc: Net::getParam(layer)
public Mat getParam(DictValue layer)
{
Mat retVal = new Mat(getParam_1(nativeObj, layer.getNativeObjAddr()));
return retVal;
}
//
// C++: static Net readFromModelOptimizer(String xml, String bin)
//
//javadoc: Net::readFromModelOptimizer(xml, bin)
public static Net readFromModelOptimizer(String xml, String bin)
{
Net retVal = new Net(readFromModelOptimizer_0(xml, bin));
return retVal;
}
//
// C++: Ptr_Layer getLayer(LayerId layerId)
//
//javadoc: Net::getLayer(layerId)
public Layer getLayer(DictValue layerId)
{
Layer retVal = Layer.__fromPtr__(getLayer_0(nativeObj, layerId.getNativeObjAddr()));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: Net::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: int getLayerId(String layer)
//
//javadoc: Net::getLayerId(layer)
public int getLayerId(String layer)
{
int retVal = getLayerId_0(nativeObj, layer);
return retVal;
}
//
// C++: int getLayersCount(String layerType)
//
//javadoc: Net::getLayersCount(layerType)
public int getLayersCount(String layerType)
{
int retVal = getLayersCount_0(nativeObj, layerType);
return retVal;
}
//
// C++: int64 getFLOPS(MatShape netInputShape)
//
//javadoc: Net::getFLOPS(netInputShape)
public long getFLOPS(MatOfInt netInputShape)
{
Mat netInputShape_mat = netInputShape;
long retVal = getFLOPS_0(nativeObj, netInputShape_mat.nativeObj);
return retVal;
}
//
// C++: int64 getFLOPS(int layerId, MatShape netInputShape)
//
//javadoc: Net::getFLOPS(layerId, netInputShape)
public long getFLOPS(int layerId, MatOfInt netInputShape)
{
Mat netInputShape_mat = netInputShape;
long retVal = getFLOPS_1(nativeObj, layerId, netInputShape_mat.nativeObj);
return retVal;
}
//
// C++: int64 getFLOPS(int layerId, vector_MatShape netInputShapes)
//
//javadoc: Net::getFLOPS(layerId, netInputShapes)
public long getFLOPS(int layerId, List<MatOfInt> netInputShapes)
{
long retVal = getFLOPS_2(nativeObj, layerId, netInputShapes);
return retVal;
}
//
// C++: int64 getFLOPS(vector_MatShape netInputShapes)
//
//javadoc: Net::getFLOPS(netInputShapes)
public long getFLOPS(List<MatOfInt> netInputShapes)
{
long retVal = getFLOPS_3(nativeObj, netInputShapes);
return retVal;
}
//
// C++: int64 getPerfProfile(vector_double& timings)
//
//javadoc: Net::getPerfProfile(timings)
public long getPerfProfile(MatOfDouble timings)
{
Mat timings_mat = timings;
long retVal = getPerfProfile_0(nativeObj, timings_mat.nativeObj);
return retVal;
}
//
// C++: vector_String getLayerNames()
//
//javadoc: Net::getLayerNames()
public List<String> getLayerNames()
{
List<String> retVal = getLayerNames_0(nativeObj);
return retVal;
}
//
// C++: vector_int getUnconnectedOutLayers()
//
//javadoc: Net::getUnconnectedOutLayers()
public MatOfInt getUnconnectedOutLayers()
{
MatOfInt retVal = MatOfInt.fromNativeAddr(getUnconnectedOutLayers_0(nativeObj));
return retVal;
}
//
// C++: void connect(String outPin, String inpPin)
//
//javadoc: Net::connect(outPin, inpPin)
public void connect(String outPin, String inpPin)
{
connect_0(nativeObj, outPin, inpPin);
return;
}
//
// C++: void deleteLayer(LayerId layer)
//
//javadoc: Net::deleteLayer(layer)
public void deleteLayer(DictValue layer)
{
deleteLayer_0(nativeObj, layer.getNativeObjAddr());
return;
}
//
// C++: void enableFusion(bool fusion)
//
//javadoc: Net::enableFusion(fusion)
public void enableFusion(boolean fusion)
{
enableFusion_0(nativeObj, fusion);
return;
}
//
// C++: void forward(vector_Mat& outputBlobs, String outputName = String())
//
//javadoc: Net::forward(outputBlobs, outputName)
public void forward(List<Mat> outputBlobs, String outputName)
{
Mat outputBlobs_mat = new Mat();
forward_2(nativeObj, outputBlobs_mat.nativeObj, outputName);
Converters.Mat_to_vector_Mat(outputBlobs_mat, outputBlobs);
outputBlobs_mat.release();
return;
}
//javadoc: Net::forward(outputBlobs)
public void forward(List<Mat> outputBlobs)
{
Mat outputBlobs_mat = new Mat();
forward_3(nativeObj, outputBlobs_mat.nativeObj);
Converters.Mat_to_vector_Mat(outputBlobs_mat, outputBlobs);
outputBlobs_mat.release();
return;
}
//
// C++: void forward(vector_Mat& outputBlobs, vector_String outBlobNames)
//
//javadoc: Net::forward(outputBlobs, outBlobNames)
public void forward(List<Mat> outputBlobs, List<String> outBlobNames)
{
Mat outputBlobs_mat = new Mat();
forward_4(nativeObj, outputBlobs_mat.nativeObj, outBlobNames);
Converters.Mat_to_vector_Mat(outputBlobs_mat, outputBlobs);
outputBlobs_mat.release();
return;
}
//
// C++: void forward(vector_vector_Mat& outputBlobs, vector_String outBlobNames)
//
// Unknown type 'vector_vector_Mat' (O), skipping the function
//
// C++: void getLayerTypes(vector_String& layersTypes)
//
//javadoc: Net::getLayerTypes(layersTypes)
public void getLayerTypes(List<String> layersTypes)
{
getLayerTypes_0(nativeObj, layersTypes);
return;
}
//
// C++: void getLayersShapes(MatShape netInputShape, vector_int& layersIds, vector_vector_MatShape& inLayersShapes, vector_vector_MatShape& outLayersShapes)
//
// Unknown type 'vector_vector_MatShape' (O), skipping the function
//
// C++: void getLayersShapes(vector_MatShape netInputShapes, vector_int& layersIds, vector_vector_MatShape& inLayersShapes, vector_vector_MatShape& outLayersShapes)
//
// Unknown type 'vector_vector_MatShape' (O), skipping the function
//
// C++: void getMemoryConsumption(MatShape netInputShape, size_t& weights, size_t& blobs)
//
//javadoc: Net::getMemoryConsumption(netInputShape, weights, blobs)
public void getMemoryConsumption(MatOfInt netInputShape, long[] weights, long[] blobs)
{
Mat netInputShape_mat = netInputShape;
double[] weights_out = new double[1];
double[] blobs_out = new double[1];
getMemoryConsumption_0(nativeObj, netInputShape_mat.nativeObj, weights_out, blobs_out);
if(weights!=null) weights[0] = (long)weights_out[0];
if(blobs!=null) blobs[0] = (long)blobs_out[0];
return;
}
//
// C++: void getMemoryConsumption(int layerId, MatShape netInputShape, size_t& weights, size_t& blobs)
//
//javadoc: Net::getMemoryConsumption(layerId, netInputShape, weights, blobs)
public void getMemoryConsumption(int layerId, MatOfInt netInputShape, long[] weights, long[] blobs)
{
Mat netInputShape_mat = netInputShape;
double[] weights_out = new double[1];
double[] blobs_out = new double[1];
getMemoryConsumption_1(nativeObj, layerId, netInputShape_mat.nativeObj, weights_out, blobs_out);
if(weights!=null) weights[0] = (long)weights_out[0];
if(blobs!=null) blobs[0] = (long)blobs_out[0];
return;
}
//
// C++: void getMemoryConsumption(int layerId, vector_MatShape netInputShapes, size_t& weights, size_t& blobs)
//
//javadoc: Net::getMemoryConsumption(layerId, netInputShapes, weights, blobs)
public void getMemoryConsumption(int layerId, List<MatOfInt> netInputShapes, long[] weights, long[] blobs)
{
double[] weights_out = new double[1];
double[] blobs_out = new double[1];
getMemoryConsumption_2(nativeObj, layerId, netInputShapes, weights_out, blobs_out);
if(weights!=null) weights[0] = (long)weights_out[0];
if(blobs!=null) blobs[0] = (long)blobs_out[0];
return;
}
//
// C++: void setHalideScheduler(String scheduler)
//
//javadoc: Net::setHalideScheduler(scheduler)
public void setHalideScheduler(String scheduler)
{
setHalideScheduler_0(nativeObj, scheduler);
return;
}
//
// C++: void setInput(Mat blob, String name = "")
//
//javadoc: Net::setInput(blob, name)
public void setInput(Mat blob, String name)
{
setInput_0(nativeObj, blob.nativeObj, name);
return;
}
//javadoc: Net::setInput(blob)
public void setInput(Mat blob)
{
setInput_1(nativeObj, blob.nativeObj);
return;
}
//
// C++: void setInputsNames(vector_String inputBlobNames)
//
//javadoc: Net::setInputsNames(inputBlobNames)
public void setInputsNames(List<String> inputBlobNames)
{
setInputsNames_0(nativeObj, inputBlobNames);
return;
}
//
// C++: void setParam(LayerId layer, int numParam, Mat blob)
//
//javadoc: Net::setParam(layer, numParam, blob)
public void setParam(DictValue layer, int numParam, Mat blob)
{
setParam_0(nativeObj, layer.getNativeObjAddr(), numParam, blob.nativeObj);
return;
}
//
// C++: void setPreferableBackend(int backendId)
//
//javadoc: Net::setPreferableBackend(backendId)
public void setPreferableBackend(int backendId)
{
setPreferableBackend_0(nativeObj, backendId);
return;
}
//
// C++: void setPreferableTarget(int targetId)
//
//javadoc: Net::setPreferableTarget(targetId)
public void setPreferableTarget(int targetId)
{
setPreferableTarget_0(nativeObj, targetId);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Net()
private static native long Net_0();
// C++: Mat forward(String outputName = String())
private static native long forward_0(long nativeObj, String outputName);
private static native long forward_1(long nativeObj);
// C++: Mat getParam(LayerId layer, int numParam = 0)
private static native long getParam_0(long nativeObj, long layer_nativeObj, int numParam);
private static native long getParam_1(long nativeObj, long layer_nativeObj);
// C++: static Net readFromModelOptimizer(String xml, String bin)
private static native long readFromModelOptimizer_0(String xml, String bin);
// C++: Ptr_Layer getLayer(LayerId layerId)
private static native long getLayer_0(long nativeObj, long layerId_nativeObj);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: int getLayerId(String layer)
private static native int getLayerId_0(long nativeObj, String layer);
// C++: int getLayersCount(String layerType)
private static native int getLayersCount_0(long nativeObj, String layerType);
// C++: int64 getFLOPS(MatShape netInputShape)
private static native long getFLOPS_0(long nativeObj, long netInputShape_mat_nativeObj);
// C++: int64 getFLOPS(int layerId, MatShape netInputShape)
private static native long getFLOPS_1(long nativeObj, int layerId, long netInputShape_mat_nativeObj);
// C++: int64 getFLOPS(int layerId, vector_MatShape netInputShapes)
private static native long getFLOPS_2(long nativeObj, int layerId, List<MatOfInt> netInputShapes);
// C++: int64 getFLOPS(vector_MatShape netInputShapes)
private static native long getFLOPS_3(long nativeObj, List<MatOfInt> netInputShapes);
// C++: int64 getPerfProfile(vector_double& timings)
private static native long getPerfProfile_0(long nativeObj, long timings_mat_nativeObj);
// C++: vector_String getLayerNames()
private static native List<String> getLayerNames_0(long nativeObj);
// C++: vector_int getUnconnectedOutLayers()
private static native long getUnconnectedOutLayers_0(long nativeObj);
// C++: void connect(String outPin, String inpPin)
private static native void connect_0(long nativeObj, String outPin, String inpPin);
// C++: void deleteLayer(LayerId layer)
private static native void deleteLayer_0(long nativeObj, long layer_nativeObj);
// C++: void enableFusion(bool fusion)
private static native void enableFusion_0(long nativeObj, boolean fusion);
// C++: void forward(vector_Mat& outputBlobs, String outputName = String())
private static native void forward_2(long nativeObj, long outputBlobs_mat_nativeObj, String outputName);
private static native void forward_3(long nativeObj, long outputBlobs_mat_nativeObj);
// C++: void forward(vector_Mat& outputBlobs, vector_String outBlobNames)
private static native void forward_4(long nativeObj, long outputBlobs_mat_nativeObj, List<String> outBlobNames);
// C++: void getLayerTypes(vector_String& layersTypes)
private static native void getLayerTypes_0(long nativeObj, List<String> layersTypes);
// C++: void getMemoryConsumption(MatShape netInputShape, size_t& weights, size_t& blobs)
private static native void getMemoryConsumption_0(long nativeObj, long netInputShape_mat_nativeObj, double[] weights_out, double[] blobs_out);
// C++: void getMemoryConsumption(int layerId, MatShape netInputShape, size_t& weights, size_t& blobs)
private static native void getMemoryConsumption_1(long nativeObj, int layerId, long netInputShape_mat_nativeObj, double[] weights_out, double[] blobs_out);
// C++: void getMemoryConsumption(int layerId, vector_MatShape netInputShapes, size_t& weights, size_t& blobs)
private static native void getMemoryConsumption_2(long nativeObj, int layerId, List<MatOfInt> netInputShapes, double[] weights_out, double[] blobs_out);
// C++: void setHalideScheduler(String scheduler)
private static native void setHalideScheduler_0(long nativeObj, String scheduler);
// C++: void setInput(Mat blob, String name = "")
private static native void setInput_0(long nativeObj, long blob_nativeObj, String name);
private static native void setInput_1(long nativeObj, long blob_nativeObj);
// C++: void setInputsNames(vector_String inputBlobNames)
private static native void setInputsNames_0(long nativeObj, List<String> inputBlobNames);
// C++: void setParam(LayerId layer, int numParam, Mat blob)
private static native void setParam_0(long nativeObj, long layer_nativeObj, int numParam, long blob_nativeObj);
// C++: void setPreferableBackend(int backendId)
private static native void setPreferableBackend_0(long nativeObj, int backendId);
// C++: void setPreferableTarget(int targetId)
private static native void setPreferableTarget_0(long nativeObj, int targetId);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/AKAZE.java
+319
View File
@@ -0,0 +1,319 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import org.opencv.features2d.AKAZE;
import org.opencv.features2d.Feature2D;
// C++: class AKAZE
//javadoc: AKAZE
public class AKAZE extends Feature2D {
protected AKAZE(long addr) { super(addr); }
// internal usage only
public static AKAZE __fromPtr__(long addr) { return new AKAZE(addr); }
public static final int
DESCRIPTOR_KAZE_UPRIGHT = 2,
DESCRIPTOR_KAZE = 3,
DESCRIPTOR_MLDB_UPRIGHT = 4,
DESCRIPTOR_MLDB = 5;
//
// C++: static Ptr_AKAZE create(int descriptor_type = AKAZE::DESCRIPTOR_MLDB, int descriptor_size = 0, int descriptor_channels = 3, float threshold = 0.001f, int nOctaves = 4, int nOctaveLayers = 4, int diffusivity = KAZE::DIFF_PM_G2)
//
//javadoc: AKAZE::create(descriptor_type, descriptor_size, descriptor_channels, threshold, nOctaves, nOctaveLayers, diffusivity)
public static AKAZE create(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers, int diffusivity)
{
AKAZE retVal = AKAZE.__fromPtr__(create_0(descriptor_type, descriptor_size, descriptor_channels, threshold, nOctaves, nOctaveLayers, diffusivity));
return retVal;
}
//javadoc: AKAZE::create()
public static AKAZE create()
{
AKAZE retVal = AKAZE.__fromPtr__(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: AKAZE::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: double getThreshold()
//
//javadoc: AKAZE::getThreshold()
public double getThreshold()
{
double retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getDescriptorChannels()
//
//javadoc: AKAZE::getDescriptorChannels()
public int getDescriptorChannels()
{
int retVal = getDescriptorChannels_0(nativeObj);
return retVal;
}
//
// C++: int getDescriptorSize()
//
//javadoc: AKAZE::getDescriptorSize()
public int getDescriptorSize()
{
int retVal = getDescriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int getDescriptorType()
//
//javadoc: AKAZE::getDescriptorType()
public int getDescriptorType()
{
int retVal = getDescriptorType_0(nativeObj);
return retVal;
}
//
// C++: int getDiffusivity()
//
//javadoc: AKAZE::getDiffusivity()
public int getDiffusivity()
{
int retVal = getDiffusivity_0(nativeObj);
return retVal;
}
//
// C++: int getNOctaveLayers()
//
//javadoc: AKAZE::getNOctaveLayers()
public int getNOctaveLayers()
{
int retVal = getNOctaveLayers_0(nativeObj);
return retVal;
}
//
// C++: int getNOctaves()
//
//javadoc: AKAZE::getNOctaves()
public int getNOctaves()
{
int retVal = getNOctaves_0(nativeObj);
return retVal;
}
//
// C++: void setDescriptorChannels(int dch)
//
//javadoc: AKAZE::setDescriptorChannels(dch)
public void setDescriptorChannels(int dch)
{
setDescriptorChannels_0(nativeObj, dch);
return;
}
//
// C++: void setDescriptorSize(int dsize)
//
//javadoc: AKAZE::setDescriptorSize(dsize)
public void setDescriptorSize(int dsize)
{
setDescriptorSize_0(nativeObj, dsize);
return;
}
//
// C++: void setDescriptorType(int dtype)
//
//javadoc: AKAZE::setDescriptorType(dtype)
public void setDescriptorType(int dtype)
{
setDescriptorType_0(nativeObj, dtype);
return;
}
//
// C++: void setDiffusivity(int diff)
//
//javadoc: AKAZE::setDiffusivity(diff)
public void setDiffusivity(int diff)
{
setDiffusivity_0(nativeObj, diff);
return;
}
//
// C++: void setNOctaveLayers(int octaveLayers)
//
//javadoc: AKAZE::setNOctaveLayers(octaveLayers)
public void setNOctaveLayers(int octaveLayers)
{
setNOctaveLayers_0(nativeObj, octaveLayers);
return;
}
//
// C++: void setNOctaves(int octaves)
//
//javadoc: AKAZE::setNOctaves(octaves)
public void setNOctaves(int octaves)
{
setNOctaves_0(nativeObj, octaves);
return;
}
//
// C++: void setThreshold(double threshold)
//
//javadoc: AKAZE::setThreshold(threshold)
public void setThreshold(double threshold)
{
setThreshold_0(nativeObj, threshold);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_AKAZE create(int descriptor_type = AKAZE::DESCRIPTOR_MLDB, int descriptor_size = 0, int descriptor_channels = 3, float threshold = 0.001f, int nOctaves = 4, int nOctaveLayers = 4, int diffusivity = KAZE::DIFF_PM_G2)
private static native long create_0(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers, int diffusivity);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: double getThreshold()
private static native double getThreshold_0(long nativeObj);
// C++: int getDescriptorChannels()
private static native int getDescriptorChannels_0(long nativeObj);
// C++: int getDescriptorSize()
private static native int getDescriptorSize_0(long nativeObj);
// C++: int getDescriptorType()
private static native int getDescriptorType_0(long nativeObj);
// C++: int getDiffusivity()
private static native int getDiffusivity_0(long nativeObj);
// C++: int getNOctaveLayers()
private static native int getNOctaveLayers_0(long nativeObj);
// C++: int getNOctaves()
private static native int getNOctaves_0(long nativeObj);
// C++: void setDescriptorChannels(int dch)
private static native void setDescriptorChannels_0(long nativeObj, int dch);
// C++: void setDescriptorSize(int dsize)
private static native void setDescriptorSize_0(long nativeObj, int dsize);
// C++: void setDescriptorType(int dtype)
private static native void setDescriptorType_0(long nativeObj, int dtype);
// C++: void setDiffusivity(int diff)
private static native void setDiffusivity_0(long nativeObj, int diff);
// C++: void setNOctaveLayers(int octaveLayers)
private static native void setNOctaveLayers_0(long nativeObj, int octaveLayers);
// C++: void setNOctaves(int octaves)
private static native void setNOctaves_0(long nativeObj, int octaves);
// C++: void setThreshold(double threshold)
private static native void setThreshold_0(long nativeObj, double threshold);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/AgastFeatureDetector.java
+185
View File
@@ -0,0 +1,185 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import org.opencv.features2d.AgastFeatureDetector;
import org.opencv.features2d.Feature2D;
// C++: class AgastFeatureDetector
//javadoc: AgastFeatureDetector
public class AgastFeatureDetector extends Feature2D {
protected AgastFeatureDetector(long addr) { super(addr); }
// internal usage only
public static AgastFeatureDetector __fromPtr__(long addr) { return new AgastFeatureDetector(addr); }
public static final int
AGAST_5_8 = 0,
AGAST_7_12d = 1,
AGAST_7_12s = 2,
OAST_9_16 = 3,
THRESHOLD = 10000,
NONMAX_SUPPRESSION = 10001;
//
// C++: static Ptr_AgastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = AgastFeatureDetector::OAST_9_16)
//
//javadoc: AgastFeatureDetector::create(threshold, nonmaxSuppression, type)
public static AgastFeatureDetector create(int threshold, boolean nonmaxSuppression, int type)
{
AgastFeatureDetector retVal = AgastFeatureDetector.__fromPtr__(create_0(threshold, nonmaxSuppression, type));
return retVal;
}
//javadoc: AgastFeatureDetector::create()
public static AgastFeatureDetector create()
{
AgastFeatureDetector retVal = AgastFeatureDetector.__fromPtr__(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: AgastFeatureDetector::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getNonmaxSuppression()
//
//javadoc: AgastFeatureDetector::getNonmaxSuppression()
public boolean getNonmaxSuppression()
{
boolean retVal = getNonmaxSuppression_0(nativeObj);
return retVal;
}
//
// C++: int getThreshold()
//
//javadoc: AgastFeatureDetector::getThreshold()
public int getThreshold()
{
int retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getType()
//
//javadoc: AgastFeatureDetector::getType()
public int getType()
{
int retVal = getType_0(nativeObj);
return retVal;
}
//
// C++: void setNonmaxSuppression(bool f)
//
//javadoc: AgastFeatureDetector::setNonmaxSuppression(f)
public void setNonmaxSuppression(boolean f)
{
setNonmaxSuppression_0(nativeObj, f);
return;
}
//
// C++: void setThreshold(int threshold)
//
//javadoc: AgastFeatureDetector::setThreshold(threshold)
public void setThreshold(int threshold)
{
setThreshold_0(nativeObj, threshold);
return;
}
//
// C++: void setType(int type)
//
//javadoc: AgastFeatureDetector::setType(type)
public void setType(int type)
{
setType_0(nativeObj, type);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_AgastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = AgastFeatureDetector::OAST_9_16)
private static native long create_0(int threshold, boolean nonmaxSuppression, int type);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getNonmaxSuppression()
private static native boolean getNonmaxSuppression_0(long nativeObj);
// C++: int getThreshold()
private static native int getThreshold_0(long nativeObj);
// C++: int getType()
private static native int getType_0(long nativeObj);
// C++: void setNonmaxSuppression(bool f)
private static native void setNonmaxSuppression_0(long nativeObj, boolean f);
// C++: void setThreshold(int threshold)
private static native void setThreshold_0(long nativeObj, int threshold);
// C++: void setType(int type)
private static native void setType_0(long nativeObj, int type);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/BFMatcher.java
+83
View File
@@ -0,0 +1,83 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import org.opencv.features2d.BFMatcher;
import org.opencv.features2d.DescriptorMatcher;
// C++: class BFMatcher
//javadoc: BFMatcher
public class BFMatcher extends DescriptorMatcher {
protected BFMatcher(long addr) { super(addr); }
// internal usage only
public static BFMatcher __fromPtr__(long addr) { return new BFMatcher(addr); }
//
// C++: BFMatcher(int normType = NORM_L2, bool crossCheck = false)
//
//javadoc: BFMatcher::BFMatcher(normType, crossCheck)
public BFMatcher(int normType, boolean crossCheck)
{
super( BFMatcher_0(normType, crossCheck) );
return;
}
//javadoc: BFMatcher::BFMatcher()
public BFMatcher()
{
super( BFMatcher_1() );
return;
}
//
// C++: static Ptr_BFMatcher create(int normType = NORM_L2, bool crossCheck = false)
//
//javadoc: BFMatcher::create(normType, crossCheck)
public static BFMatcher create(int normType, boolean crossCheck)
{
BFMatcher retVal = BFMatcher.__fromPtr__(create_0(normType, crossCheck));
return retVal;
}
//javadoc: BFMatcher::create()
public static BFMatcher create()
{
BFMatcher retVal = BFMatcher.__fromPtr__(create_1());
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: BFMatcher(int normType = NORM_L2, bool crossCheck = false)
private static native long BFMatcher_0(int normType, boolean crossCheck);
private static native long BFMatcher_1();
// C++: static Ptr_BFMatcher create(int normType = NORM_L2, bool crossCheck = false)
private static native long create_0(int normType, boolean crossCheck);
private static native long create_1();
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/BOWImgDescriptorExtractor.java
+127
View File
@@ -0,0 +1,127 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.utils.Converters;
// C++: class BOWImgDescriptorExtractor
//javadoc: BOWImgDescriptorExtractor
public class BOWImgDescriptorExtractor {
protected final long nativeObj;
protected BOWImgDescriptorExtractor(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static BOWImgDescriptorExtractor __fromPtr__(long addr) { return new BOWImgDescriptorExtractor(addr); }
//
// C++: BOWImgDescriptorExtractor(Ptr_DescriptorExtractor dextractor, Ptr_DescriptorMatcher dmatcher)
//
// Unknown type 'Ptr_DescriptorExtractor' (I), skipping the function
//
// C++: Mat getVocabulary()
//
//javadoc: BOWImgDescriptorExtractor::getVocabulary()
public Mat getVocabulary()
{
Mat retVal = new Mat(getVocabulary_0(nativeObj));
return retVal;
}
//
// C++: int descriptorSize()
//
//javadoc: BOWImgDescriptorExtractor::descriptorSize()
public int descriptorSize()
{
int retVal = descriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int descriptorType()
//
//javadoc: BOWImgDescriptorExtractor::descriptorType()
public int descriptorType()
{
int retVal = descriptorType_0(nativeObj);
return retVal;
}
//
// C++: void compute2(Mat image, vector_KeyPoint keypoints, Mat& imgDescriptor)
//
//javadoc: BOWImgDescriptorExtractor::compute2(image, keypoints, imgDescriptor)
public void compute(Mat image, MatOfKeyPoint keypoints, Mat imgDescriptor)
{
Mat keypoints_mat = keypoints;
compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, imgDescriptor.nativeObj);
return;
}
//
// C++: void setVocabulary(Mat vocabulary)
//
//javadoc: BOWImgDescriptorExtractor::setVocabulary(vocabulary)
public void setVocabulary(Mat vocabulary)
{
setVocabulary_0(nativeObj, vocabulary.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getVocabulary()
private static native long getVocabulary_0(long nativeObj);
// C++: int descriptorSize()
private static native int descriptorSize_0(long nativeObj);
// C++: int descriptorType()
private static native int descriptorType_0(long nativeObj);
// C++: void compute2(Mat image, vector_KeyPoint keypoints, Mat& imgDescriptor)
private static native void compute_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long imgDescriptor_nativeObj);
// C++: void setVocabulary(Mat vocabulary)
private static native void setVocabulary_0(long nativeObj, long vocabulary_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/BOWKMeansTrainer.java
+91
View File
@@ -0,0 +1,91 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.features2d.BOWTrainer;
// C++: class BOWKMeansTrainer
//javadoc: BOWKMeansTrainer
public class BOWKMeansTrainer extends BOWTrainer {
protected BOWKMeansTrainer(long addr) { super(addr); }
// internal usage only
public static BOWKMeansTrainer __fromPtr__(long addr) { return new BOWKMeansTrainer(addr); }
//
// C++: BOWKMeansTrainer(int clusterCount, TermCriteria termcrit = TermCriteria(), int attempts = 3, int flags = KMEANS_PP_CENTERS)
//
//javadoc: BOWKMeansTrainer::BOWKMeansTrainer(clusterCount, termcrit, attempts, flags)
public BOWKMeansTrainer(int clusterCount, TermCriteria termcrit, int attempts, int flags)
{
super( BOWKMeansTrainer_0(clusterCount, termcrit.type, termcrit.maxCount, termcrit.epsilon, attempts, flags) );
return;
}
//javadoc: BOWKMeansTrainer::BOWKMeansTrainer(clusterCount)
public BOWKMeansTrainer(int clusterCount)
{
super( BOWKMeansTrainer_1(clusterCount) );
return;
}
//
// C++: Mat cluster(Mat descriptors)
//
//javadoc: BOWKMeansTrainer::cluster(descriptors)
public Mat cluster(Mat descriptors)
{
Mat retVal = new Mat(cluster_0(nativeObj, descriptors.nativeObj));
return retVal;
}
//
// C++: Mat cluster()
//
//javadoc: BOWKMeansTrainer::cluster()
public Mat cluster()
{
Mat retVal = new Mat(cluster_1(nativeObj));
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: BOWKMeansTrainer(int clusterCount, TermCriteria termcrit = TermCriteria(), int attempts = 3, int flags = KMEANS_PP_CENTERS)
private static native long BOWKMeansTrainer_0(int clusterCount, int termcrit_type, int termcrit_maxCount, double termcrit_epsilon, int attempts, int flags);
private static native long BOWKMeansTrainer_1(int clusterCount);
// C++: Mat cluster(Mat descriptors)
private static native long cluster_0(long nativeObj, long descriptors_nativeObj);
// C++: Mat cluster()
private static native long cluster_1(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/BOWTrainer.java
+136
View File
@@ -0,0 +1,136 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.utils.Converters;
// C++: class BOWTrainer
//javadoc: BOWTrainer
public class BOWTrainer {
protected final long nativeObj;
protected BOWTrainer(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static BOWTrainer __fromPtr__(long addr) { return new BOWTrainer(addr); }
//
// C++: Mat cluster(Mat descriptors)
//
//javadoc: BOWTrainer::cluster(descriptors)
public Mat cluster(Mat descriptors)
{
Mat retVal = new Mat(cluster_0(nativeObj, descriptors.nativeObj));
return retVal;
}
//
// C++: Mat cluster()
//
//javadoc: BOWTrainer::cluster()
public Mat cluster()
{
Mat retVal = new Mat(cluster_1(nativeObj));
return retVal;
}
//
// C++: int descriptorsCount()
//
//javadoc: BOWTrainer::descriptorsCount()
public int descriptorsCount()
{
int retVal = descriptorsCount_0(nativeObj);
return retVal;
}
//
// C++: vector_Mat getDescriptors()
//
//javadoc: BOWTrainer::getDescriptors()
public List<Mat> getDescriptors()
{
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(getDescriptors_0(nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void add(Mat descriptors)
//
//javadoc: BOWTrainer::add(descriptors)
public void add(Mat descriptors)
{
add_0(nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void clear()
//
//javadoc: BOWTrainer::clear()
public void clear()
{
clear_0(nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat cluster(Mat descriptors)
private static native long cluster_0(long nativeObj, long descriptors_nativeObj);
// C++: Mat cluster()
private static native long cluster_1(long nativeObj);
// C++: int descriptorsCount()
private static native int descriptorsCount_0(long nativeObj);
// C++: vector_Mat getDescriptors()
private static native long getDescriptors_0(long nativeObj);
// C++: void add(Mat descriptors)
private static native void add_0(long nativeObj, long descriptors_nativeObj);
// C++: void clear()
private static native void clear_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/BRISK.java
+140
View File
@@ -0,0 +1,140 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.features2d.BRISK;
import org.opencv.features2d.Feature2D;
import org.opencv.utils.Converters;
// C++: class BRISK
//javadoc: BRISK
public class BRISK extends Feature2D {
protected BRISK(long addr) { super(addr); }
// internal usage only
public static BRISK __fromPtr__(long addr) { return new BRISK(addr); }
//
// C++: static Ptr_BRISK create(int thresh, int octaves, vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
//
//javadoc: BRISK::create(thresh, octaves, radiusList, numberList, dMax, dMin, indexChange)
public static BRISK create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
Mat indexChange_mat = indexChange;
BRISK retVal = BRISK.__fromPtr__(create_0(thresh, octaves, radiusList_mat.nativeObj, numberList_mat.nativeObj, dMax, dMin, indexChange_mat.nativeObj));
return retVal;
}
//javadoc: BRISK::create(thresh, octaves, radiusList, numberList)
public static BRISK create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
BRISK retVal = BRISK.__fromPtr__(create_1(thresh, octaves, radiusList_mat.nativeObj, numberList_mat.nativeObj));
return retVal;
}
//
// C++: static Ptr_BRISK create(int thresh = 30, int octaves = 3, float patternScale = 1.0f)
//
//javadoc: BRISK::create(thresh, octaves, patternScale)
public static BRISK create(int thresh, int octaves, float patternScale)
{
BRISK retVal = BRISK.__fromPtr__(create_2(thresh, octaves, patternScale));
return retVal;
}
//javadoc: BRISK::create()
public static BRISK create()
{
BRISK retVal = BRISK.__fromPtr__(create_3());
return retVal;
}
//
// C++: static Ptr_BRISK create(vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
//
//javadoc: BRISK::create(radiusList, numberList, dMax, dMin, indexChange)
public static BRISK create(MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
Mat indexChange_mat = indexChange;
BRISK retVal = BRISK.__fromPtr__(create_4(radiusList_mat.nativeObj, numberList_mat.nativeObj, dMax, dMin, indexChange_mat.nativeObj));
return retVal;
}
//javadoc: BRISK::create(radiusList, numberList)
public static BRISK create(MatOfFloat radiusList, MatOfInt numberList)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
BRISK retVal = BRISK.__fromPtr__(create_5(radiusList_mat.nativeObj, numberList_mat.nativeObj));
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: BRISK::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_BRISK create(int thresh, int octaves, vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
private static native long create_0(int thresh, int octaves, long radiusList_mat_nativeObj, long numberList_mat_nativeObj, float dMax, float dMin, long indexChange_mat_nativeObj);
private static native long create_1(int thresh, int octaves, long radiusList_mat_nativeObj, long numberList_mat_nativeObj);
// C++: static Ptr_BRISK create(int thresh = 30, int octaves = 3, float patternScale = 1.0f)
private static native long create_2(int thresh, int octaves, float patternScale);
private static native long create_3();
// C++: static Ptr_BRISK create(vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
private static native long create_4(long radiusList_mat_nativeObj, long numberList_mat_nativeObj, float dMax, float dMin, long indexChange_mat_nativeObj);
private static native long create_5(long radiusList_mat_nativeObj, long numberList_mat_nativeObj);
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/DescriptorExtractor.java
+200
View File
@@ -0,0 +1,200 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.utils.Converters;
// C++: class javaDescriptorExtractor
//javadoc: javaDescriptorExtractor
@Deprecated
public class DescriptorExtractor {
protected final long nativeObj;
protected DescriptorExtractor(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static DescriptorExtractor __fromPtr__(long addr) { return new DescriptorExtractor(addr); }
private static final int
OPPONENTEXTRACTOR = 1000;
public static final int
SIFT = 1,
SURF = 2,
ORB = 3,
BRIEF = 4,
BRISK = 5,
FREAK = 6,
AKAZE = 7,
OPPONENT_SIFT = OPPONENTEXTRACTOR + SIFT,
OPPONENT_SURF = OPPONENTEXTRACTOR + SURF,
OPPONENT_ORB = OPPONENTEXTRACTOR + ORB,
OPPONENT_BRIEF = OPPONENTEXTRACTOR + BRIEF,
OPPONENT_BRISK = OPPONENTEXTRACTOR + BRISK,
OPPONENT_FREAK = OPPONENTEXTRACTOR + FREAK,
OPPONENT_AKAZE = OPPONENTEXTRACTOR + AKAZE;
//
// C++: static Ptr_javaDescriptorExtractor create(int extractorType)
//
//javadoc: javaDescriptorExtractor::create(extractorType)
public static DescriptorExtractor create(int extractorType)
{
DescriptorExtractor retVal = DescriptorExtractor.__fromPtr__(create_0(extractorType));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: javaDescriptorExtractor::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: int descriptorSize()
//
//javadoc: javaDescriptorExtractor::descriptorSize()
public int descriptorSize()
{
int retVal = descriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int descriptorType()
//
//javadoc: javaDescriptorExtractor::descriptorType()
public int descriptorType()
{
int retVal = descriptorType_0(nativeObj);
return retVal;
}
//
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat descriptors)
//
//javadoc: javaDescriptorExtractor::compute(image, keypoints, descriptors)
public void compute(Mat image, MatOfKeyPoint keypoints, Mat descriptors)
{
Mat keypoints_mat = keypoints;
compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
//
//javadoc: javaDescriptorExtractor::compute(images, keypoints, descriptors)
public void compute(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
List<Mat> keypoints_tmplm = new ArrayList<Mat>((keypoints != null) ? keypoints.size() : 0);
Mat keypoints_mat = Converters.vector_vector_KeyPoint_to_Mat(keypoints, keypoints_tmplm);
Mat descriptors_mat = new Mat();
compute_1(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, descriptors_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
Converters.Mat_to_vector_Mat(descriptors_mat, descriptors);
descriptors_mat.release();
return;
}
//
// C++: void read(String fileName)
//
//javadoc: javaDescriptorExtractor::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void write(String fileName)
//
//javadoc: javaDescriptorExtractor::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_javaDescriptorExtractor create(int extractorType)
private static native long create_0(int extractorType);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: int descriptorSize()
private static native int descriptorSize_0(long nativeObj);
// C++: int descriptorType()
private static native int descriptorType_0(long nativeObj);
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat descriptors)
private static native void compute_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
private static native void compute_1(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long descriptors_mat_nativeObj);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/DescriptorMatcher.java
+428
View File
@@ -0,0 +1,428 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDMatch;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.utils.Converters;
// C++: class DescriptorMatcher
//javadoc: DescriptorMatcher
public class DescriptorMatcher extends Algorithm {
protected DescriptorMatcher(long addr) { super(addr); }
// internal usage only
public static DescriptorMatcher __fromPtr__(long addr) { return new DescriptorMatcher(addr); }
public static final int
FLANNBASED = 1,
BRUTEFORCE = 2,
BRUTEFORCE_L1 = 3,
BRUTEFORCE_HAMMING = 4,
BRUTEFORCE_HAMMINGLUT = 5,
BRUTEFORCE_SL2 = 6;
//
// C++: Ptr_DescriptorMatcher clone(bool emptyTrainData = false)
//
//javadoc: DescriptorMatcher::clone(emptyTrainData)
public DescriptorMatcher clone(boolean emptyTrainData)
{
DescriptorMatcher retVal = DescriptorMatcher.__fromPtr__(clone_0(nativeObj, emptyTrainData));
return retVal;
}
//javadoc: DescriptorMatcher::clone()
public DescriptorMatcher clone()
{
DescriptorMatcher retVal = DescriptorMatcher.__fromPtr__(clone_1(nativeObj));
return retVal;
}
//
// C++: static Ptr_DescriptorMatcher create(String descriptorMatcherType)
//
//javadoc: DescriptorMatcher::create(descriptorMatcherType)
public static DescriptorMatcher create(String descriptorMatcherType)
{
DescriptorMatcher retVal = DescriptorMatcher.__fromPtr__(create_0(descriptorMatcherType));
return retVal;
}
//
// C++: static Ptr_DescriptorMatcher create(int matcherType)
//
//javadoc: DescriptorMatcher::create(matcherType)
public static DescriptorMatcher create(int matcherType)
{
DescriptorMatcher retVal = DescriptorMatcher.__fromPtr__(create_1(matcherType));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: DescriptorMatcher::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: bool isMaskSupported()
//
//javadoc: DescriptorMatcher::isMaskSupported()
public boolean isMaskSupported()
{
boolean retVal = isMaskSupported_0(nativeObj);
return retVal;
}
//
// C++: vector_Mat getTrainDescriptors()
//
//javadoc: DescriptorMatcher::getTrainDescriptors()
public List<Mat> getTrainDescriptors()
{
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(getTrainDescriptors_0(nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void add(vector_Mat descriptors)
//
//javadoc: DescriptorMatcher::add(descriptors)
public void add(List<Mat> descriptors)
{
Mat descriptors_mat = Converters.vector_Mat_to_Mat(descriptors);
add_0(nativeObj, descriptors_mat.nativeObj);
return;
}
//
// C++: void clear()
//
//javadoc: DescriptorMatcher::clear()
public void clear()
{
clear_0(nativeObj);
return;
}
//
// C++: void knnMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, int k, Mat mask = Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, trainDescriptors, matches, k, mask, compactResult)
public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k, Mat mask, boolean compactResult)
{
Mat matches_mat = new Mat();
knnMatch_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k, mask.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, trainDescriptors, matches, k)
public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k)
{
Mat matches_mat = new Mat();
knnMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector_Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, matches, k, masks, compactResult)
public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k, List<Mat> masks, boolean compactResult)
{
Mat matches_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
knnMatch_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k, masks_mat.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, matches, k)
public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k)
{
Mat matches_mat = new Mat();
knnMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void match(Mat queryDescriptors, Mat trainDescriptors, vector_DMatch& matches, Mat mask = Mat())
//
//javadoc: DescriptorMatcher::match(queryDescriptors, trainDescriptors, matches, mask)
public void match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches, Mat mask)
{
Mat matches_mat = matches;
match_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, mask.nativeObj);
return;
}
//javadoc: DescriptorMatcher::match(queryDescriptors, trainDescriptors, matches)
public void match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches)
{
Mat matches_mat = matches;
match_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj);
return;
}
//
// C++: void match(Mat queryDescriptors, vector_DMatch& matches, vector_Mat masks = vector_Mat())
//
//javadoc: DescriptorMatcher::match(queryDescriptors, matches, masks)
public void match(Mat queryDescriptors, MatOfDMatch matches, List<Mat> masks)
{
Mat matches_mat = matches;
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
match_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, masks_mat.nativeObj);
return;
}
//javadoc: DescriptorMatcher::match(queryDescriptors, matches)
public void match(Mat queryDescriptors, MatOfDMatch matches)
{
Mat matches_mat = matches;
match_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj);
return;
}
//
// C++: void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, float maxDistance, Mat mask = Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, trainDescriptors, matches, maxDistance, mask, compactResult)
public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance, Mat mask, boolean compactResult)
{
Mat matches_mat = new Mat();
radiusMatch_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, mask.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, trainDescriptors, matches, maxDistance)
public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance)
{
Mat matches_mat = new Mat();
radiusMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector_Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, matches, maxDistance, masks, compactResult)
public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance, List<Mat> masks, boolean compactResult)
{
Mat matches_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
radiusMatch_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, masks_mat.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, matches, maxDistance)
public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance)
{
Mat matches_mat = new Mat();
radiusMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void read(FileNode arg1)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void read(String fileName)
//
//javadoc: DescriptorMatcher::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void train()
//
//javadoc: DescriptorMatcher::train()
public void train()
{
train_0(nativeObj);
return;
}
//
// C++: void write(Ptr_FileStorage fs, String name = String())
//
// Unknown type 'Ptr_FileStorage' (I), skipping the function
//
// C++: void write(String fileName)
//
//javadoc: DescriptorMatcher::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Ptr_DescriptorMatcher clone(bool emptyTrainData = false)
private static native long clone_0(long nativeObj, boolean emptyTrainData);
private static native long clone_1(long nativeObj);
// C++: static Ptr_DescriptorMatcher create(String descriptorMatcherType)
private static native long create_0(String descriptorMatcherType);
// C++: static Ptr_DescriptorMatcher create(int matcherType)
private static native long create_1(int matcherType);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: bool isMaskSupported()
private static native boolean isMaskSupported_0(long nativeObj);
// C++: vector_Mat getTrainDescriptors()
private static native long getTrainDescriptors_0(long nativeObj);
// C++: void add(vector_Mat descriptors)
private static native void add_0(long nativeObj, long descriptors_mat_nativeObj);
// C++: void clear()
private static native void clear_0(long nativeObj);
// C++: void knnMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, int k, Mat mask = Mat(), bool compactResult = false)
private static native void knnMatch_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, int k, long mask_nativeObj, boolean compactResult);
private static native void knnMatch_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, int k);
// C++: void knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector_Mat(), bool compactResult = false)
private static native void knnMatch_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k, long masks_mat_nativeObj, boolean compactResult);
private static native void knnMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k);
// C++: void match(Mat queryDescriptors, Mat trainDescriptors, vector_DMatch& matches, Mat mask = Mat())
private static native void match_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, long mask_nativeObj);
private static native void match_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj);
// C++: void match(Mat queryDescriptors, vector_DMatch& matches, vector_Mat masks = vector_Mat())
private static native void match_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, long masks_mat_nativeObj);
private static native void match_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj);
// C++: void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, float maxDistance, Mat mask = Mat(), bool compactResult = false)
private static native void radiusMatch_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long mask_nativeObj, boolean compactResult);
private static native void radiusMatch_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance);
// C++: void radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector_Mat(), bool compactResult = false)
private static native void radiusMatch_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long masks_mat_nativeObj, boolean compactResult);
private static native void radiusMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void train()
private static native void train_0(long nativeObj);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/FastFeatureDetector.java
+185
View File
@@ -0,0 +1,185 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import org.opencv.features2d.FastFeatureDetector;
import org.opencv.features2d.Feature2D;
// C++: class FastFeatureDetector
//javadoc: FastFeatureDetector
public class FastFeatureDetector extends Feature2D {
protected FastFeatureDetector(long addr) { super(addr); }
// internal usage only
public static FastFeatureDetector __fromPtr__(long addr) { return new FastFeatureDetector(addr); }
public static final int
TYPE_5_8 = 0,
TYPE_7_12 = 1,
TYPE_9_16 = 2,
THRESHOLD = 10000,
NONMAX_SUPPRESSION = 10001,
FAST_N = 10002;
//
// C++: static Ptr_FastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = FastFeatureDetector::TYPE_9_16)
//
//javadoc: FastFeatureDetector::create(threshold, nonmaxSuppression, type)
public static FastFeatureDetector create(int threshold, boolean nonmaxSuppression, int type)
{
FastFeatureDetector retVal = FastFeatureDetector.__fromPtr__(create_0(threshold, nonmaxSuppression, type));
return retVal;
}
//javadoc: FastFeatureDetector::create()
public static FastFeatureDetector create()
{
FastFeatureDetector retVal = FastFeatureDetector.__fromPtr__(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: FastFeatureDetector::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getNonmaxSuppression()
//
//javadoc: FastFeatureDetector::getNonmaxSuppression()
public boolean getNonmaxSuppression()
{
boolean retVal = getNonmaxSuppression_0(nativeObj);
return retVal;
}
//
// C++: int getThreshold()
//
//javadoc: FastFeatureDetector::getThreshold()
public int getThreshold()
{
int retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getType()
//
//javadoc: FastFeatureDetector::getType()
public int getType()
{
int retVal = getType_0(nativeObj);
return retVal;
}
//
// C++: void setNonmaxSuppression(bool f)
//
//javadoc: FastFeatureDetector::setNonmaxSuppression(f)
public void setNonmaxSuppression(boolean f)
{
setNonmaxSuppression_0(nativeObj, f);
return;
}
//
// C++: void setThreshold(int threshold)
//
//javadoc: FastFeatureDetector::setThreshold(threshold)
public void setThreshold(int threshold)
{
setThreshold_0(nativeObj, threshold);
return;
}
//
// C++: void setType(int type)
//
//javadoc: FastFeatureDetector::setType(type)
public void setType(int type)
{
setType_0(nativeObj, type);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_FastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = FastFeatureDetector::TYPE_9_16)
private static native long create_0(int threshold, boolean nonmaxSuppression, int type);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getNonmaxSuppression()
private static native boolean getNonmaxSuppression_0(long nativeObj);
// C++: int getThreshold()
private static native int getThreshold_0(long nativeObj);
// C++: int getType()
private static native int getType_0(long nativeObj);
// C++: void setNonmaxSuppression(bool f)
private static native void setNonmaxSuppression_0(long nativeObj, boolean f);
// C++: void setThreshold(int threshold)
private static native void setThreshold_0(long nativeObj, int threshold);
// C++: void setType(int type)
private static native void setType_0(long nativeObj, int type);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/Feature2D.java
+293
View File
@@ -0,0 +1,293 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.utils.Converters;
// C++: class Feature2D
//javadoc: Feature2D
public class Feature2D extends Algorithm {
protected Feature2D(long addr) { super(addr); }
// internal usage only
public static Feature2D __fromPtr__(long addr) { return new Feature2D(addr); }
//
// C++: String getDefaultName()
//
//javadoc: Feature2D::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool empty()
//
//javadoc: Feature2D::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: int defaultNorm()
//
//javadoc: Feature2D::defaultNorm()
public int defaultNorm()
{
int retVal = defaultNorm_0(nativeObj);
return retVal;
}
//
// C++: int descriptorSize()
//
//javadoc: Feature2D::descriptorSize()
public int descriptorSize()
{
int retVal = descriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int descriptorType()
//
//javadoc: Feature2D::descriptorType()
public int descriptorType()
{
int retVal = descriptorType_0(nativeObj);
return retVal;
}
//
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat& descriptors)
//
//javadoc: Feature2D::compute(image, keypoints, descriptors)
public void compute(Mat image, MatOfKeyPoint keypoints, Mat descriptors)
{
Mat keypoints_mat = keypoints;
compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
//
//javadoc: Feature2D::compute(images, keypoints, descriptors)
public void compute(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
List<Mat> keypoints_tmplm = new ArrayList<Mat>((keypoints != null) ? keypoints.size() : 0);
Mat keypoints_mat = Converters.vector_vector_KeyPoint_to_Mat(keypoints, keypoints_tmplm);
Mat descriptors_mat = new Mat();
compute_1(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, descriptors_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
Converters.Mat_to_vector_Mat(descriptors_mat, descriptors);
descriptors_mat.release();
return;
}
//
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
//
//javadoc: Feature2D::detect(image, keypoints, mask)
public void detect(Mat image, MatOfKeyPoint keypoints, Mat mask)
{
Mat keypoints_mat = keypoints;
detect_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, mask.nativeObj);
return;
}
//javadoc: Feature2D::detect(image, keypoints)
public void detect(Mat image, MatOfKeyPoint keypoints)
{
Mat keypoints_mat = keypoints;
detect_1(nativeObj, image.nativeObj, keypoints_mat.nativeObj);
return;
}
//
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = vector_Mat())
//
//javadoc: Feature2D::detect(images, keypoints, masks)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
detect_2(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//javadoc: Feature2D::detect(images, keypoints)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
detect_3(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//
// C++: void detectAndCompute(Mat image, Mat mask, vector_KeyPoint& keypoints, Mat& descriptors, bool useProvidedKeypoints = false)
//
//javadoc: Feature2D::detectAndCompute(image, mask, keypoints, descriptors, useProvidedKeypoints)
public void detectAndCompute(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, boolean useProvidedKeypoints)
{
Mat keypoints_mat = keypoints;
detectAndCompute_0(nativeObj, image.nativeObj, mask.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj, useProvidedKeypoints);
return;
}
//javadoc: Feature2D::detectAndCompute(image, mask, keypoints, descriptors)
public void detectAndCompute(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors)
{
Mat keypoints_mat = keypoints;
detectAndCompute_1(nativeObj, image.nativeObj, mask.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void read(FileNode arg1)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void read(String fileName)
//
//javadoc: Feature2D::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void write(Ptr_FileStorage fs, String name = String())
//
// Unknown type 'Ptr_FileStorage' (I), skipping the function
//
// C++: void write(String fileName)
//
//javadoc: Feature2D::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: int defaultNorm()
private static native int defaultNorm_0(long nativeObj);
// C++: int descriptorSize()
private static native int descriptorSize_0(long nativeObj);
// C++: int descriptorType()
private static native int descriptorType_0(long nativeObj);
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat& descriptors)
private static native void compute_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
private static native void compute_1(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long descriptors_mat_nativeObj);
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
private static native void detect_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long mask_nativeObj);
private static native void detect_1(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj);
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = vector_Mat())
private static native void detect_2(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long masks_mat_nativeObj);
private static native void detect_3(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj);
// C++: void detectAndCompute(Mat image, Mat mask, vector_KeyPoint& keypoints, Mat& descriptors, bool useProvidedKeypoints = false)
private static native void detectAndCompute_0(long nativeObj, long image_nativeObj, long mask_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj, boolean useProvidedKeypoints);
private static native void detectAndCompute_1(long nativeObj, long image_nativeObj, long mask_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/FeatureDetector.java
+222
View File
@@ -0,0 +1,222 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.features2d.FeatureDetector;
import org.opencv.utils.Converters;
// C++: class javaFeatureDetector
//javadoc: javaFeatureDetector
@Deprecated
public class FeatureDetector {
protected final long nativeObj;
protected FeatureDetector(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static FeatureDetector __fromPtr__(long addr) { return new FeatureDetector(addr); }
private static final int
GRIDDETECTOR = 1000,
PYRAMIDDETECTOR = 2000,
DYNAMICDETECTOR = 3000;
public static final int
FAST = 1,
STAR = 2,
SIFT = 3,
SURF = 4,
ORB = 5,
MSER = 6,
GFTT = 7,
HARRIS = 8,
SIMPLEBLOB = 9,
DENSE = 10,
BRISK = 11,
AKAZE = 12,
GRID_FAST = GRIDDETECTOR + FAST,
GRID_STAR = GRIDDETECTOR + STAR,
GRID_SIFT = GRIDDETECTOR + SIFT,
GRID_SURF = GRIDDETECTOR + SURF,
GRID_ORB = GRIDDETECTOR + ORB,
GRID_MSER = GRIDDETECTOR + MSER,
GRID_GFTT = GRIDDETECTOR + GFTT,
GRID_HARRIS = GRIDDETECTOR + HARRIS,
GRID_SIMPLEBLOB = GRIDDETECTOR + SIMPLEBLOB,
GRID_DENSE = GRIDDETECTOR + DENSE,
GRID_BRISK = GRIDDETECTOR + BRISK,
GRID_AKAZE = GRIDDETECTOR + AKAZE,
PYRAMID_FAST = PYRAMIDDETECTOR + FAST,
PYRAMID_STAR = PYRAMIDDETECTOR + STAR,
PYRAMID_SIFT = PYRAMIDDETECTOR + SIFT,
PYRAMID_SURF = PYRAMIDDETECTOR + SURF,
PYRAMID_ORB = PYRAMIDDETECTOR + ORB,
PYRAMID_MSER = PYRAMIDDETECTOR + MSER,
PYRAMID_GFTT = PYRAMIDDETECTOR + GFTT,
PYRAMID_HARRIS = PYRAMIDDETECTOR + HARRIS,
PYRAMID_SIMPLEBLOB = PYRAMIDDETECTOR + SIMPLEBLOB,
PYRAMID_DENSE = PYRAMIDDETECTOR + DENSE,
PYRAMID_BRISK = PYRAMIDDETECTOR + BRISK,
PYRAMID_AKAZE = PYRAMIDDETECTOR + AKAZE,
DYNAMIC_FAST = DYNAMICDETECTOR + FAST,
DYNAMIC_STAR = DYNAMICDETECTOR + STAR,
DYNAMIC_SIFT = DYNAMICDETECTOR + SIFT,
DYNAMIC_SURF = DYNAMICDETECTOR + SURF,
DYNAMIC_ORB = DYNAMICDETECTOR + ORB,
DYNAMIC_MSER = DYNAMICDETECTOR + MSER,
DYNAMIC_GFTT = DYNAMICDETECTOR + GFTT,
DYNAMIC_HARRIS = DYNAMICDETECTOR + HARRIS,
DYNAMIC_SIMPLEBLOB = DYNAMICDETECTOR + SIMPLEBLOB,
DYNAMIC_DENSE = DYNAMICDETECTOR + DENSE,
DYNAMIC_BRISK = DYNAMICDETECTOR + BRISK,
DYNAMIC_AKAZE = DYNAMICDETECTOR + AKAZE;
//
// C++: static Ptr_javaFeatureDetector create(int detectorType)
//
//javadoc: javaFeatureDetector::create(detectorType)
@Deprecated
public static FeatureDetector create(int detectorType)
{
FeatureDetector retVal = FeatureDetector.__fromPtr__(create_0(detectorType));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: javaFeatureDetector::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
//
//javadoc: javaFeatureDetector::detect(image, keypoints, mask)
public void detect(Mat image, MatOfKeyPoint keypoints, Mat mask)
{
Mat keypoints_mat = keypoints;
detect_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, mask.nativeObj);
return;
}
//javadoc: javaFeatureDetector::detect(image, keypoints)
public void detect(Mat image, MatOfKeyPoint keypoints)
{
Mat keypoints_mat = keypoints;
detect_1(nativeObj, image.nativeObj, keypoints_mat.nativeObj);
return;
}
//
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = std::vector<Mat>())
//
//javadoc: javaFeatureDetector::detect(images, keypoints, masks)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
detect_2(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//javadoc: javaFeatureDetector::detect(images, keypoints)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
detect_3(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//
// C++: void read(String fileName)
//
//javadoc: javaFeatureDetector::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void write(String fileName)
//
//javadoc: javaFeatureDetector::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_javaFeatureDetector create(int detectorType)
private static native long create_0(int detectorType);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
private static native void detect_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long mask_nativeObj);
private static native void detect_1(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj);
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = std::vector<Mat>())
private static native void detect_2(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long masks_mat_nativeObj);
private static native void detect_3(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/Features2d.java
+157
View File
@@ -0,0 +1,157 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.core.MatOfDMatch;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Scalar;
import org.opencv.utils.Converters;
// C++: class Features2d
//javadoc: Features2d
public class Features2d {
public static final int
DRAW_OVER_OUTIMG = 1,
NOT_DRAW_SINGLE_POINTS = 2,
DRAW_RICH_KEYPOINTS = 4;
//
// C++: void drawKeypoints(Mat image, vector_KeyPoint keypoints, Mat& outImage, Scalar color = Scalar::all(-1), int flags = DrawMatchesFlags::DEFAULT)
//
//javadoc: drawKeypoints(image, keypoints, outImage, color, flags)
public static void drawKeypoints(Mat image, MatOfKeyPoint keypoints, Mat outImage, Scalar color, int flags)
{
Mat keypoints_mat = keypoints;
drawKeypoints_0(image.nativeObj, keypoints_mat.nativeObj, outImage.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3], flags);
return;
}
//javadoc: drawKeypoints(image, keypoints, outImage)
public static void drawKeypoints(Mat image, MatOfKeyPoint keypoints, Mat outImage)
{
Mat keypoints_mat = keypoints;
drawKeypoints_1(image.nativeObj, keypoints_mat.nativeObj, outImage.nativeObj);
return;
}
//
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_char matchesMask = std::vector<char>(), int flags = DrawMatchesFlags::DEFAULT)
//
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg, matchColor, singlePointColor, matchesMask, flags)
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
Mat matches1to2_mat = matches1to2;
Mat matchesMask_mat = matchesMask;
drawMatches_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
return;
}
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg)
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
Mat matches1to2_mat = matches1to2;
drawMatches_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
return;
}
//
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = 0)
//
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg, matchColor, singlePointColor, matchesMask, flags)
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
drawMatches2_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
return;
}
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg)
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
drawMatches2_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
return;
}
//
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = DrawMatchesFlags::DEFAULT)
//
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg, matchColor, singlePointColor, matchesMask, flags)
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
drawMatchesKnn_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
return;
}
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg)
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
drawMatchesKnn_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
return;
}
// C++: void drawKeypoints(Mat image, vector_KeyPoint keypoints, Mat& outImage, Scalar color = Scalar::all(-1), int flags = DrawMatchesFlags::DEFAULT)
private static native void drawKeypoints_0(long image_nativeObj, long keypoints_mat_nativeObj, long outImage_nativeObj, double color_val0, double color_val1, double color_val2, double color_val3, int flags);
private static native void drawKeypoints_1(long image_nativeObj, long keypoints_mat_nativeObj, long outImage_nativeObj);
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_char matchesMask = std::vector<char>(), int flags = DrawMatchesFlags::DEFAULT)
private static native void drawMatches_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
private static native void drawMatches_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = 0)
private static native void drawMatches2_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
private static native void drawMatches2_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = DrawMatchesFlags::DEFAULT)
private static native void drawMatchesKnn_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
private static native void drawMatchesKnn_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/FlannBasedMatcher.java
+63
View File
@@ -0,0 +1,63 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FlannBasedMatcher;
// C++: class FlannBasedMatcher
//javadoc: FlannBasedMatcher
public class FlannBasedMatcher extends DescriptorMatcher {
protected FlannBasedMatcher(long addr) { super(addr); }
// internal usage only
public static FlannBasedMatcher __fromPtr__(long addr) { return new FlannBasedMatcher(addr); }
//
// C++: FlannBasedMatcher(Ptr_flann_IndexParams indexParams = makePtr<flann::KDTreeIndexParams>(), Ptr_flann_SearchParams searchParams = makePtr<flann::SearchParams>())
//
//javadoc: FlannBasedMatcher::FlannBasedMatcher()
public FlannBasedMatcher()
{
super( FlannBasedMatcher_0() );
return;
}
//
// C++: static Ptr_FlannBasedMatcher create()
//
//javadoc: FlannBasedMatcher::create()
public static FlannBasedMatcher create()
{
FlannBasedMatcher retVal = FlannBasedMatcher.__fromPtr__(create_0());
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: FlannBasedMatcher(Ptr_flann_IndexParams indexParams = makePtr<flann::KDTreeIndexParams>(), Ptr_flann_SearchParams searchParams = makePtr<flann::SearchParams>())
private static native long FlannBasedMatcher_0();
// C++: static Ptr_FlannBasedMatcher create()
private static native long create_0();
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/GFTTDetector.java
+305
View File
@@ -0,0 +1,305 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import org.opencv.features2d.Feature2D;
import org.opencv.features2d.GFTTDetector;
// C++: class GFTTDetector
//javadoc: GFTTDetector
public class GFTTDetector extends Feature2D {
protected GFTTDetector(long addr) { super(addr); }
// internal usage only
public static GFTTDetector __fromPtr__(long addr) { return new GFTTDetector(addr); }
//
// C++: static Ptr_GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector = false, double k = 0.04)
//
//javadoc: GFTTDetector::create(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize, useHarrisDetector, k)
public static GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, boolean useHarrisDetector, double k)
{
GFTTDetector retVal = GFTTDetector.__fromPtr__(create_0(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize, useHarrisDetector, k));
return retVal;
}
//javadoc: GFTTDetector::create(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize)
public static GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize)
{
GFTTDetector retVal = GFTTDetector.__fromPtr__(create_1(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize));
return retVal;
}
//
// C++: static Ptr_GFTTDetector create(int maxCorners = 1000, double qualityLevel = 0.01, double minDistance = 1, int blockSize = 3, bool useHarrisDetector = false, double k = 0.04)
//
//javadoc: GFTTDetector::create(maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k)
public static GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, boolean useHarrisDetector, double k)
{
GFTTDetector retVal = GFTTDetector.__fromPtr__(create_2(maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k));
return retVal;
}
//javadoc: GFTTDetector::create()
public static GFTTDetector create()
{
GFTTDetector retVal = GFTTDetector.__fromPtr__(create_3());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: GFTTDetector::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getHarrisDetector()
//
//javadoc: GFTTDetector::getHarrisDetector()
public boolean getHarrisDetector()
{
boolean retVal = getHarrisDetector_0(nativeObj);
return retVal;
}
//
// C++: double getK()
//
//javadoc: GFTTDetector::getK()
public double getK()
{
double retVal = getK_0(nativeObj);
return retVal;
}
//
// C++: double getMinDistance()
//
//javadoc: GFTTDetector::getMinDistance()
public double getMinDistance()
{
double retVal = getMinDistance_0(nativeObj);
return retVal;
}
//
// C++: double getQualityLevel()
//
//javadoc: GFTTDetector::getQualityLevel()
public double getQualityLevel()
{
double retVal = getQualityLevel_0(nativeObj);
return retVal;
}
//
// C++: int getBlockSize()
//
//javadoc: GFTTDetector::getBlockSize()
public int getBlockSize()
{
int retVal = getBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int getMaxFeatures()
//
//javadoc: GFTTDetector::getMaxFeatures()
public int getMaxFeatures()
{
int retVal = getMaxFeatures_0(nativeObj);
return retVal;
}
//
// C++: void setBlockSize(int blockSize)
//
//javadoc: GFTTDetector::setBlockSize(blockSize)
public void setBlockSize(int blockSize)
{
setBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void setHarrisDetector(bool val)
//
//javadoc: GFTTDetector::setHarrisDetector(val)
public void setHarrisDetector(boolean val)
{
setHarrisDetector_0(nativeObj, val);
return;
}
//
// C++: void setK(double k)
//
//javadoc: GFTTDetector::setK(k)
public void setK(double k)
{
setK_0(nativeObj, k);
return;
}
//
// C++: void setMaxFeatures(int maxFeatures)
//
//javadoc: GFTTDetector::setMaxFeatures(maxFeatures)
public void setMaxFeatures(int maxFeatures)
{
setMaxFeatures_0(nativeObj, maxFeatures);
return;
}
//
// C++: void setMinDistance(double minDistance)
//
//javadoc: GFTTDetector::setMinDistance(minDistance)
public void setMinDistance(double minDistance)
{
setMinDistance_0(nativeObj, minDistance);
return;
}
//
// C++: void setQualityLevel(double qlevel)
//
//javadoc: GFTTDetector::setQualityLevel(qlevel)
public void setQualityLevel(double qlevel)
{
setQualityLevel_0(nativeObj, qlevel);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector = false, double k = 0.04)
private static native long create_0(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, boolean useHarrisDetector, double k);
private static native long create_1(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize);
// C++: static Ptr_GFTTDetector create(int maxCorners = 1000, double qualityLevel = 0.01, double minDistance = 1, int blockSize = 3, bool useHarrisDetector = false, double k = 0.04)
private static native long create_2(int maxCorners, double qualityLevel, double minDistance, int blockSize, boolean useHarrisDetector, double k);
private static native long create_3();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getHarrisDetector()
private static native boolean getHarrisDetector_0(long nativeObj);
// C++: double getK()
private static native double getK_0(long nativeObj);
// C++: double getMinDistance()
private static native double getMinDistance_0(long nativeObj);
// C++: double getQualityLevel()
private static native double getQualityLevel_0(long nativeObj);
// C++: int getBlockSize()
private static native int getBlockSize_0(long nativeObj);
// C++: int getMaxFeatures()
private static native int getMaxFeatures_0(long nativeObj);
// C++: void setBlockSize(int blockSize)
private static native void setBlockSize_0(long nativeObj, int blockSize);
// C++: void setHarrisDetector(bool val)
private static native void setHarrisDetector_0(long nativeObj, boolean val);
// C++: void setK(double k)
private static native void setK_0(long nativeObj, double k);
// C++: void setMaxFeatures(int maxFeatures)
private static native void setMaxFeatures_0(long nativeObj, int maxFeatures);
// C++: void setMinDistance(double minDistance)
private static native void setMinDistance_0(long nativeObj, double minDistance);
// C++: void setQualityLevel(double qlevel)
private static native void setQualityLevel_0(long nativeObj, double qlevel);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/KAZE.java
+285
View File
@@ -0,0 +1,285 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import org.opencv.features2d.Feature2D;
import org.opencv.features2d.KAZE;
// C++: class KAZE
//javadoc: KAZE
public class KAZE extends Feature2D {
protected KAZE(long addr) { super(addr); }
// internal usage only
public static KAZE __fromPtr__(long addr) { return new KAZE(addr); }
public static final int
DIFF_PM_G1 = 0,
DIFF_PM_G2 = 1,
DIFF_WEICKERT = 2,
DIFF_CHARBONNIER = 3;
//
// C++: static Ptr_KAZE create(bool extended = false, bool upright = false, float threshold = 0.001f, int nOctaves = 4, int nOctaveLayers = 4, int diffusivity = KAZE::DIFF_PM_G2)
//
//javadoc: KAZE::create(extended, upright, threshold, nOctaves, nOctaveLayers, diffusivity)
public static KAZE create(boolean extended, boolean upright, float threshold, int nOctaves, int nOctaveLayers, int diffusivity)
{
KAZE retVal = KAZE.__fromPtr__(create_0(extended, upright, threshold, nOctaves, nOctaveLayers, diffusivity));
return retVal;
}
//javadoc: KAZE::create()
public static KAZE create()
{
KAZE retVal = KAZE.__fromPtr__(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: KAZE::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getExtended()
//
//javadoc: KAZE::getExtended()
public boolean getExtended()
{
boolean retVal = getExtended_0(nativeObj);
return retVal;
}
//
// C++: bool getUpright()
//
//javadoc: KAZE::getUpright()
public boolean getUpright()
{
boolean retVal = getUpright_0(nativeObj);
return retVal;
}
//
// C++: double getThreshold()
//
//javadoc: KAZE::getThreshold()
public double getThreshold()
{
double retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getDiffusivity()
//
//javadoc: KAZE::getDiffusivity()
public int getDiffusivity()
{
int retVal = getDiffusivity_0(nativeObj);
return retVal;
}
//
// C++: int getNOctaveLayers()
//
//javadoc: KAZE::getNOctaveLayers()
public int getNOctaveLayers()
{
int retVal = getNOctaveLayers_0(nativeObj);
return retVal;
}
//
// C++: int getNOctaves()
//
//javadoc: KAZE::getNOctaves()
public int getNOctaves()
{
int retVal = getNOctaves_0(nativeObj);
return retVal;
}
//
// C++: void setDiffusivity(int diff)
//
//javadoc: KAZE::setDiffusivity(diff)
public void setDiffusivity(int diff)
{
setDiffusivity_0(nativeObj, diff);
return;
}
//
// C++: void setExtended(bool extended)
//
//javadoc: KAZE::setExtended(extended)
public void setExtended(boolean extended)
{
setExtended_0(nativeObj, extended);
return;
}
//
// C++: void setNOctaveLayers(int octaveLayers)
//
//javadoc: KAZE::setNOctaveLayers(octaveLayers)
public void setNOctaveLayers(int octaveLayers)
{
setNOctaveLayers_0(nativeObj, octaveLayers);
return;
}
//
// C++: void setNOctaves(int octaves)
//
//javadoc: KAZE::setNOctaves(octaves)
public void setNOctaves(int octaves)
{
setNOctaves_0(nativeObj, octaves);
return;
}
//
// C++: void setThreshold(double threshold)
//
//javadoc: KAZE::setThreshold(threshold)
public void setThreshold(double threshold)
{
setThreshold_0(nativeObj, threshold);
return;
}
//
// C++: void setUpright(bool upright)
//
//javadoc: KAZE::setUpright(upright)
public void setUpright(boolean upright)
{
setUpright_0(nativeObj, upright);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_KAZE create(bool extended = false, bool upright = false, float threshold = 0.001f, int nOctaves = 4, int nOctaveLayers = 4, int diffusivity = KAZE::DIFF_PM_G2)
private static native long create_0(boolean extended, boolean upright, float threshold, int nOctaves, int nOctaveLayers, int diffusivity);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getExtended()
private static native boolean getExtended_0(long nativeObj);
// C++: bool getUpright()
private static native boolean getUpright_0(long nativeObj);
// C++: double getThreshold()
private static native double getThreshold_0(long nativeObj);
// C++: int getDiffusivity()
private static native int getDiffusivity_0(long nativeObj);
// C++: int getNOctaveLayers()
private static native int getNOctaveLayers_0(long nativeObj);
// C++: int getNOctaves()
private static native int getNOctaves_0(long nativeObj);
// C++: void setDiffusivity(int diff)
private static native void setDiffusivity_0(long nativeObj, int diff);
// C++: void setExtended(bool extended)
private static native void setExtended_0(long nativeObj, boolean extended);
// C++: void setNOctaveLayers(int octaveLayers)
private static native void setNOctaveLayers_0(long nativeObj, int octaveLayers);
// C++: void setNOctaves(int octaves)
private static native void setNOctaves_0(long nativeObj, int octaves);
// C++: void setThreshold(double threshold)
private static native void setThreshold_0(long nativeObj, double threshold);
// C++: void setUpright(bool upright)
private static native void setUpright_0(long nativeObj, boolean upright);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/MSER.java
+235
View File
@@ -0,0 +1,235 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfRect;
import org.opencv.features2d.Feature2D;
import org.opencv.features2d.MSER;
import org.opencv.utils.Converters;
// C++: class MSER
//javadoc: MSER
public class MSER extends Feature2D {
protected MSER(long addr) { super(addr); }
// internal usage only
public static MSER __fromPtr__(long addr) { return new MSER(addr); }
//
// C++: static Ptr_MSER create(int _delta = 5, int _min_area = 60, int _max_area = 14400, double _max_variation = 0.25, double _min_diversity = .2, int _max_evolution = 200, double _area_threshold = 1.01, double _min_margin = 0.003, int _edge_blur_size = 5)
//
//javadoc: MSER::create(_delta, _min_area, _max_area, _max_variation, _min_diversity, _max_evolution, _area_threshold, _min_margin, _edge_blur_size)
public static MSER create(int _delta, int _min_area, int _max_area, double _max_variation, double _min_diversity, int _max_evolution, double _area_threshold, double _min_margin, int _edge_blur_size)
{
MSER retVal = MSER.__fromPtr__(create_0(_delta, _min_area, _max_area, _max_variation, _min_diversity, _max_evolution, _area_threshold, _min_margin, _edge_blur_size));
return retVal;
}
//javadoc: MSER::create()
public static MSER create()
{
MSER retVal = MSER.__fromPtr__(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: MSER::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getPass2Only()
//
//javadoc: MSER::getPass2Only()
public boolean getPass2Only()
{
boolean retVal = getPass2Only_0(nativeObj);
return retVal;
}
//
// C++: int getDelta()
//
//javadoc: MSER::getDelta()
public int getDelta()
{
int retVal = getDelta_0(nativeObj);
return retVal;
}
//
// C++: int getMaxArea()
//
//javadoc: MSER::getMaxArea()
public int getMaxArea()
{
int retVal = getMaxArea_0(nativeObj);
return retVal;
}
//
// C++: int getMinArea()
//
//javadoc: MSER::getMinArea()
public int getMinArea()
{
int retVal = getMinArea_0(nativeObj);
return retVal;
}
//
// C++: void detectRegions(Mat image, vector_vector_Point& msers, vector_Rect& bboxes)
//
//javadoc: MSER::detectRegions(image, msers, bboxes)
public void detectRegions(Mat image, List<MatOfPoint> msers, MatOfRect bboxes)
{
Mat msers_mat = new Mat();
Mat bboxes_mat = bboxes;
detectRegions_0(nativeObj, image.nativeObj, msers_mat.nativeObj, bboxes_mat.nativeObj);
Converters.Mat_to_vector_vector_Point(msers_mat, msers);
msers_mat.release();
return;
}
//
// C++: void setDelta(int delta)
//
//javadoc: MSER::setDelta(delta)
public void setDelta(int delta)
{
setDelta_0(nativeObj, delta);
return;
}
//
// C++: void setMaxArea(int maxArea)
//
//javadoc: MSER::setMaxArea(maxArea)
public void setMaxArea(int maxArea)
{
setMaxArea_0(nativeObj, maxArea);
return;
}
//
// C++: void setMinArea(int minArea)
//
//javadoc: MSER::setMinArea(minArea)
public void setMinArea(int minArea)
{
setMinArea_0(nativeObj, minArea);
return;
}
//
// C++: void setPass2Only(bool f)
//
//javadoc: MSER::setPass2Only(f)
public void setPass2Only(boolean f)
{
setPass2Only_0(nativeObj, f);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_MSER create(int _delta = 5, int _min_area = 60, int _max_area = 14400, double _max_variation = 0.25, double _min_diversity = .2, int _max_evolution = 200, double _area_threshold = 1.01, double _min_margin = 0.003, int _edge_blur_size = 5)
private static native long create_0(int _delta, int _min_area, int _max_area, double _max_variation, double _min_diversity, int _max_evolution, double _area_threshold, double _min_margin, int _edge_blur_size);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getPass2Only()
private static native boolean getPass2Only_0(long nativeObj);
// C++: int getDelta()
private static native int getDelta_0(long nativeObj);
// C++: int getMaxArea()
private static native int getMaxArea_0(long nativeObj);
// C++: int getMinArea()
private static native int getMinArea_0(long nativeObj);
// C++: void detectRegions(Mat image, vector_vector_Point& msers, vector_Rect& bboxes)
private static native void detectRegions_0(long nativeObj, long image_nativeObj, long msers_mat_nativeObj, long bboxes_mat_nativeObj);
// C++: void setDelta(int delta)
private static native void setDelta_0(long nativeObj, int delta);
// C++: void setMaxArea(int maxArea)
private static native void setMaxArea_0(long nativeObj, int maxArea);
// C++: void setMinArea(int minArea)
private static native void setMinArea_0(long nativeObj, int minArea);
// C++: void setPass2Only(bool f)
private static native void setPass2Only_0(long nativeObj, boolean f);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/ORB.java
+386
View File
@@ -0,0 +1,386 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import org.opencv.features2d.Feature2D;
import org.opencv.features2d.ORB;
// C++: class ORB
//javadoc: ORB
public class ORB extends Feature2D {
protected ORB(long addr) { super(addr); }
// internal usage only
public static ORB __fromPtr__(long addr) { return new ORB(addr); }
public static final int
kBytes = 32,
HARRIS_SCORE = 0,
FAST_SCORE = 1;
//
// C++: static Ptr_ORB create(int nfeatures = 500, float scaleFactor = 1.2f, int nlevels = 8, int edgeThreshold = 31, int firstLevel = 0, int WTA_K = 2, int scoreType = ORB::HARRIS_SCORE, int patchSize = 31, int fastThreshold = 20)
//
//javadoc: ORB::create(nfeatures, scaleFactor, nlevels, edgeThreshold, firstLevel, WTA_K, scoreType, patchSize, fastThreshold)
public static ORB create(int nfeatures, float scaleFactor, int nlevels, int edgeThreshold, int firstLevel, int WTA_K, int scoreType, int patchSize, int fastThreshold)
{
ORB retVal = ORB.__fromPtr__(create_0(nfeatures, scaleFactor, nlevels, edgeThreshold, firstLevel, WTA_K, scoreType, patchSize, fastThreshold));
return retVal;
}
//javadoc: ORB::create()
public static ORB create()
{
ORB retVal = ORB.__fromPtr__(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: ORB::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: double getScaleFactor()
//
//javadoc: ORB::getScaleFactor()
public double getScaleFactor()
{
double retVal = getScaleFactor_0(nativeObj);
return retVal;
}
//
// C++: int getEdgeThreshold()
//
//javadoc: ORB::getEdgeThreshold()
public int getEdgeThreshold()
{
int retVal = getEdgeThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getFastThreshold()
//
//javadoc: ORB::getFastThreshold()
public int getFastThreshold()
{
int retVal = getFastThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getFirstLevel()
//
//javadoc: ORB::getFirstLevel()
public int getFirstLevel()
{
int retVal = getFirstLevel_0(nativeObj);
return retVal;
}
//
// C++: int getMaxFeatures()
//
//javadoc: ORB::getMaxFeatures()
public int getMaxFeatures()
{
int retVal = getMaxFeatures_0(nativeObj);
return retVal;
}
//
// C++: int getNLevels()
//
//javadoc: ORB::getNLevels()
public int getNLevels()
{
int retVal = getNLevels_0(nativeObj);
return retVal;
}
//
// C++: int getPatchSize()
//
//javadoc: ORB::getPatchSize()
public int getPatchSize()
{
int retVal = getPatchSize_0(nativeObj);
return retVal;
}
//
// C++: int getScoreType()
//
//javadoc: ORB::getScoreType()
public int getScoreType()
{
int retVal = getScoreType_0(nativeObj);
return retVal;
}
//
// C++: int getWTA_K()
//
//javadoc: ORB::getWTA_K()
public int getWTA_K()
{
int retVal = getWTA_K_0(nativeObj);
return retVal;
}
//
// C++: void setEdgeThreshold(int edgeThreshold)
//
//javadoc: ORB::setEdgeThreshold(edgeThreshold)
public void setEdgeThreshold(int edgeThreshold)
{
setEdgeThreshold_0(nativeObj, edgeThreshold);
return;
}
//
// C++: void setFastThreshold(int fastThreshold)
//
//javadoc: ORB::setFastThreshold(fastThreshold)
public void setFastThreshold(int fastThreshold)
{
setFastThreshold_0(nativeObj, fastThreshold);
return;
}
//
// C++: void setFirstLevel(int firstLevel)
//
//javadoc: ORB::setFirstLevel(firstLevel)
public void setFirstLevel(int firstLevel)
{
setFirstLevel_0(nativeObj, firstLevel);
return;
}
//
// C++: void setMaxFeatures(int maxFeatures)
//
//javadoc: ORB::setMaxFeatures(maxFeatures)
public void setMaxFeatures(int maxFeatures)
{
setMaxFeatures_0(nativeObj, maxFeatures);
return;
}
//
// C++: void setNLevels(int nlevels)
//
//javadoc: ORB::setNLevels(nlevels)
public void setNLevels(int nlevels)
{
setNLevels_0(nativeObj, nlevels);
return;
}
//
// C++: void setPatchSize(int patchSize)
//
//javadoc: ORB::setPatchSize(patchSize)
public void setPatchSize(int patchSize)
{
setPatchSize_0(nativeObj, patchSize);
return;
}
//
// C++: void setScaleFactor(double scaleFactor)
//
//javadoc: ORB::setScaleFactor(scaleFactor)
public void setScaleFactor(double scaleFactor)
{
setScaleFactor_0(nativeObj, scaleFactor);
return;
}
//
// C++: void setScoreType(int scoreType)
//
//javadoc: ORB::setScoreType(scoreType)
public void setScoreType(int scoreType)
{
setScoreType_0(nativeObj, scoreType);
return;
}
//
// C++: void setWTA_K(int wta_k)
//
//javadoc: ORB::setWTA_K(wta_k)
public void setWTA_K(int wta_k)
{
setWTA_K_0(nativeObj, wta_k);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_ORB create(int nfeatures = 500, float scaleFactor = 1.2f, int nlevels = 8, int edgeThreshold = 31, int firstLevel = 0, int WTA_K = 2, int scoreType = ORB::HARRIS_SCORE, int patchSize = 31, int fastThreshold = 20)
private static native long create_0(int nfeatures, float scaleFactor, int nlevels, int edgeThreshold, int firstLevel, int WTA_K, int scoreType, int patchSize, int fastThreshold);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: double getScaleFactor()
private static native double getScaleFactor_0(long nativeObj);
// C++: int getEdgeThreshold()
private static native int getEdgeThreshold_0(long nativeObj);
// C++: int getFastThreshold()
private static native int getFastThreshold_0(long nativeObj);
// C++: int getFirstLevel()
private static native int getFirstLevel_0(long nativeObj);
// C++: int getMaxFeatures()
private static native int getMaxFeatures_0(long nativeObj);
// C++: int getNLevels()
private static native int getNLevels_0(long nativeObj);
// C++: int getPatchSize()
private static native int getPatchSize_0(long nativeObj);
// C++: int getScoreType()
private static native int getScoreType_0(long nativeObj);
// C++: int getWTA_K()
private static native int getWTA_K_0(long nativeObj);
// C++: void setEdgeThreshold(int edgeThreshold)
private static native void setEdgeThreshold_0(long nativeObj, int edgeThreshold);
// C++: void setFastThreshold(int fastThreshold)
private static native void setFastThreshold_0(long nativeObj, int fastThreshold);
// C++: void setFirstLevel(int firstLevel)
private static native void setFirstLevel_0(long nativeObj, int firstLevel);
// C++: void setMaxFeatures(int maxFeatures)
private static native void setMaxFeatures_0(long nativeObj, int maxFeatures);
// C++: void setNLevels(int nlevels)
private static native void setNLevels_0(long nativeObj, int nlevels);
// C++: void setPatchSize(int patchSize)
private static native void setPatchSize_0(long nativeObj, int patchSize);
// C++: void setScaleFactor(double scaleFactor)
private static native void setScaleFactor_0(long nativeObj, double scaleFactor);
// C++: void setScoreType(int scoreType)
private static native void setScoreType_0(long nativeObj, int scoreType);
// C++: void setWTA_K(int wta_k)
private static native void setWTA_K_0(long nativeObj, int wta_k);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/features2d/Params.java
+674
View File
@@ -0,0 +1,674 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
// C++: class Params
//javadoc: Params
public class Params {
protected final long nativeObj;
protected Params(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static Params __fromPtr__(long addr) { return new Params(addr); }
//
// C++: Params()
//
//javadoc: Params::Params()
public Params()
{
nativeObj = Params_0();
return;
}
//
// C++: float Params::thresholdStep
//
//javadoc: Params::get_thresholdStep()
public float get_thresholdStep()
{
float retVal = get_thresholdStep_0(nativeObj);
return retVal;
}
//
// C++: void Params::thresholdStep
//
//javadoc: Params::set_thresholdStep(thresholdStep)
public void set_thresholdStep(float thresholdStep)
{
set_thresholdStep_0(nativeObj, thresholdStep);
return;
}
//
// C++: float Params::minThreshold
//
//javadoc: Params::get_minThreshold()
public float get_minThreshold()
{
float retVal = get_minThreshold_0(nativeObj);
return retVal;
}
//
// C++: void Params::minThreshold
//
//javadoc: Params::set_minThreshold(minThreshold)
public void set_minThreshold(float minThreshold)
{
set_minThreshold_0(nativeObj, minThreshold);
return;
}
//
// C++: float Params::maxThreshold
//
//javadoc: Params::get_maxThreshold()
public float get_maxThreshold()
{
float retVal = get_maxThreshold_0(nativeObj);
return retVal;
}
//
// C++: void Params::maxThreshold
//
//javadoc: Params::set_maxThreshold(maxThreshold)
public void set_maxThreshold(float maxThreshold)
{
set_maxThreshold_0(nativeObj, maxThreshold);
return;
}
//
// C++: size_t Params::minRepeatability
//
//javadoc: Params::get_minRepeatability()
public long get_minRepeatability()
{
long retVal = get_minRepeatability_0(nativeObj);
return retVal;
}
//
// C++: void Params::minRepeatability
//
//javadoc: Params::set_minRepeatability(minRepeatability)
public void set_minRepeatability(long minRepeatability)
{
set_minRepeatability_0(nativeObj, minRepeatability);
return;
}
//
// C++: float Params::minDistBetweenBlobs
//
//javadoc: Params::get_minDistBetweenBlobs()
public float get_minDistBetweenBlobs()
{
float retVal = get_minDistBetweenBlobs_0(nativeObj);
return retVal;
}
//
// C++: void Params::minDistBetweenBlobs
//
//javadoc: Params::set_minDistBetweenBlobs(minDistBetweenBlobs)
public void set_minDistBetweenBlobs(float minDistBetweenBlobs)
{
set_minDistBetweenBlobs_0(nativeObj, minDistBetweenBlobs);
return;
}
//
// C++: bool Params::filterByColor
//
//javadoc: Params::get_filterByColor()
public boolean get_filterByColor()
{
boolean retVal = get_filterByColor_0(nativeObj);
return retVal;
}
//
// C++: void Params::filterByColor
//
//javadoc: Params::set_filterByColor(filterByColor)
public void set_filterByColor(boolean filterByColor)
{
set_filterByColor_0(nativeObj, filterByColor);
return;
}
//
// C++: uchar Params::blobColor
//
// Return type 'uchar' is not supported, skipping the function
//
// C++: void Params::blobColor
//
// Unknown type 'uchar' (I), skipping the function
//
// C++: bool Params::filterByArea
//
//javadoc: Params::get_filterByArea()
public boolean get_filterByArea()
{
boolean retVal = get_filterByArea_0(nativeObj);
return retVal;
}
//
// C++: void Params::filterByArea
//
//javadoc: Params::set_filterByArea(filterByArea)
public void set_filterByArea(boolean filterByArea)
{
set_filterByArea_0(nativeObj, filterByArea);
return;
}
//
// C++: float Params::minArea
//
//javadoc: Params::get_minArea()
public float get_minArea()
{
float retVal = get_minArea_0(nativeObj);
return retVal;
}
//
// C++: void Params::minArea
//
//javadoc: Params::set_minArea(minArea)
public void set_minArea(float minArea)
{
set_minArea_0(nativeObj, minArea);
return;
}
//
// C++: float Params::maxArea
//
//javadoc: Params::get_maxArea()
public float get_maxArea()
{
float retVal = get_maxArea_0(nativeObj);
return retVal;
}
//
// C++: void Params::maxArea
//
//javadoc: Params::set_maxArea(maxArea)
public void set_maxArea(float maxArea)
{
set_maxArea_0(nativeObj, maxArea);
return;
}
//
// C++: bool Params::filterByCircularity
//
//javadoc: Params::get_filterByCircularity()
public boolean get_filterByCircularity()
{
boolean retVal = get_filterByCircularity_0(nativeObj);
return retVal;
}
//
// C++: void Params::filterByCircularity
//
//javadoc: Params::set_filterByCircularity(filterByCircularity)
public void set_filterByCircularity(boolean filterByCircularity)
{
set_filterByCircularity_0(nativeObj, filterByCircularity);
return;
}
//
// C++: float Params::minCircularity
//
//javadoc: Params::get_minCircularity()
public float get_minCircularity()
{
float retVal = get_minCircularity_0(nativeObj);
return retVal;
}
//
// C++: void Params::minCircularity
//
//javadoc: Params::set_minCircularity(minCircularity)
public void set_minCircularity(float minCircularity)
{
set_minCircularity_0(nativeObj, minCircularity);
return;
}
//
// C++: float Params::maxCircularity
//
//javadoc: Params::get_maxCircularity()
public float get_maxCircularity()
{
float retVal = get_maxCircularity_0(nativeObj);
return retVal;
}
//
// C++: void Params::maxCircularity
//
//javadoc: Params::set_maxCircularity(maxCircularity)
public void set_maxCircularity(float maxCircularity)
{
set_maxCircularity_0(nativeObj, maxCircularity);
return;
}
//
// C++: bool Params::filterByInertia
//
//javadoc: Params::get_filterByInertia()
public boolean get_filterByInertia()
{
boolean retVal = get_filterByInertia_0(nativeObj);
return retVal;
}
//
// C++: void Params::filterByInertia
//
//javadoc: Params::set_filterByInertia(filterByInertia)
public void set_filterByInertia(boolean filterByInertia)
{
set_filterByInertia_0(nativeObj, filterByInertia);
return;
}
//
// C++: float Params::minInertiaRatio
//
//javadoc: Params::get_minInertiaRatio()
public float get_minInertiaRatio()
{
float retVal = get_minInertiaRatio_0(nativeObj);
return retVal;
}
//
// C++: void Params::minInertiaRatio
//
//javadoc: Params::set_minInertiaRatio(minInertiaRatio)
public void set_minInertiaRatio(float minInertiaRatio)
{
set_minInertiaRatio_0(nativeObj, minInertiaRatio);
return;
}
//
// C++: float Params::maxInertiaRatio
//
//javadoc: Params::get_maxInertiaRatio()
public float get_maxInertiaRatio()
{
float retVal = get_maxInertiaRatio_0(nativeObj);
return retVal;
}
//
// C++: void Params::maxInertiaRatio
//
//javadoc: Params::set_maxInertiaRatio(maxInertiaRatio)
public void set_maxInertiaRatio(float maxInertiaRatio)
{
set_maxInertiaRatio_0(nativeObj, maxInertiaRatio);
return;
}
//
// C++: bool Params::filterByConvexity
//
//javadoc: Params::get_filterByConvexity()
public boolean get_filterByConvexity()
{
boolean retVal = get_filterByConvexity_0(nativeObj);
return retVal;
}
//
// C++: void Params::filterByConvexity
//
//javadoc: Params::set_filterByConvexity(filterByConvexity)
public void set_filterByConvexity(boolean filterByConvexity)
{
set_filterByConvexity_0(nativeObj, filterByConvexity);
return;
}
//
// C++: float Params::minConvexity
//
//javadoc: Params::get_minConvexity()
public float get_minConvexity()
{
float retVal = get_minConvexity_0(nativeObj);
return retVal;
}
//
// C++: void Params::minConvexity
//
//javadoc: Params::set_minConvexity(minConvexity)
public void set_minConvexity(float minConvexity)
{
set_minConvexity_0(nativeObj, minConvexity);
return;
}
//
// C++: float Params::maxConvexity
//
//javadoc: Params::get_maxConvexity()
public float get_maxConvexity()
{
float retVal = get_maxConvexity_0(nativeObj);
return retVal;
}
//
// C++: void Params::maxConvexity
//
//javadoc: Params::set_maxConvexity(maxConvexity)
public void set_maxConvexity(float maxConvexity)
{
set_maxConvexity_0(nativeObj, maxConvexity);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Params()
private static native long Params_0();
// C++: float Params::thresholdStep
private static native float get_thresholdStep_0(long nativeObj);
// C++: void Params::thresholdStep
private static native void set_thresholdStep_0(long nativeObj, float thresholdStep);
// C++: float Params::minThreshold
private static native float get_minThreshold_0(long nativeObj);
// C++: void Params::minThreshold
private static native void set_minThreshold_0(long nativeObj, float minThreshold);
// C++: float Params::maxThreshold
private static native float get_maxThreshold_0(long nativeObj);
// C++: void Params::maxThreshold
private static native void set_maxThreshold_0(long nativeObj, float maxThreshold);
// C++: size_t Params::minRepeatability
private static native long get_minRepeatability_0(long nativeObj);
// C++: void Params::minRepeatability
private static native void set_minRepeatability_0(long nativeObj, long minRepeatability);
// C++: float Params::minDistBetweenBlobs
private static native float get_minDistBetweenBlobs_0(long nativeObj);
// C++: void Params::minDistBetweenBlobs
private static native void set_minDistBetweenBlobs_0(long nativeObj, float minDistBetweenBlobs);
// C++: bool Params::filterByColor
private static native boolean get_filterByColor_0(long nativeObj);
// C++: void Params::filterByColor
private static native void set_filterByColor_0(long nativeObj, boolean filterByColor);
// C++: bool Params::filterByArea
private static native boolean get_filterByArea_0(long nativeObj);
// C++: void Params::filterByArea
private static native void set_filterByArea_0(long nativeObj, boolean filterByArea);
// C++: float Params::minArea
private static native float get_minArea_0(long nativeObj);
// C++: void Params::minArea
private static native void set_minArea_0(long nativeObj, float minArea);
// C++: float Params::maxArea
private static native float get_maxArea_0(long nativeObj);
// C++: void Params::maxArea
private static native void set_maxArea_0(long nativeObj, float maxArea);
// C++: bool Params::filterByCircularity
private static native boolean get_filterByCircularity_0(long nativeObj);
// C++: void Params::filterByCircularity
private static native void set_filterByCircularity_0(long nativeObj, boolean filterByCircularity);
// C++: float Params::minCircularity
private static native float get_minCircularity_0(long nativeObj);
// C++: void Params::minCircularity
private static native void set_minCircularity_0(long nativeObj, float minCircularity);
// C++: float Params::maxCircularity
private static native float get_maxCircularity_0(long nativeObj);
// C++: void Params::maxCircularity
private static native void set_maxCircularity_0(long nativeObj, float maxCircularity);
// C++: bool Params::filterByInertia
private static native boolean get_filterByInertia_0(long nativeObj);
// C++: void Params::filterByInertia
private static native void set_filterByInertia_0(long nativeObj, boolean filterByInertia);
// C++: float Params::minInertiaRatio
private static native float get_minInertiaRatio_0(long nativeObj);
// C++: void Params::minInertiaRatio
private static native void set_minInertiaRatio_0(long nativeObj, float minInertiaRatio);
// C++: float Params::maxInertiaRatio
private static native float get_maxInertiaRatio_0(long nativeObj);
// C++: void Params::maxInertiaRatio
private static native void set_maxInertiaRatio_0(long nativeObj, float maxInertiaRatio);
// C++: bool Params::filterByConvexity
private static native boolean get_filterByConvexity_0(long nativeObj);
// C++: void Params::filterByConvexity
private static native void set_filterByConvexity_0(long nativeObj, boolean filterByConvexity);
// C++: float Params::minConvexity
private static native float get_minConvexity_0(long nativeObj);
// C++: void Params::minConvexity
private static native void set_minConvexity_0(long nativeObj, float minConvexity);
// C++: float Params::maxConvexity
private static native float get_maxConvexity_0(long nativeObj);
// C++: void Params::maxConvexity
private static native void set_maxConvexity_0(long nativeObj, float maxConvexity);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/imgcodecs/Imgcodecs.java
+226
View File
@@ -0,0 +1,226 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.imgcodecs;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.core.MatOfInt;
import org.opencv.utils.Converters;
// C++: class Imgcodecs
//javadoc: Imgcodecs
public class Imgcodecs {
public static final int
CV_LOAD_IMAGE_UNCHANGED = -1,
CV_LOAD_IMAGE_GRAYSCALE = 0,
CV_LOAD_IMAGE_COLOR = 1,
CV_LOAD_IMAGE_ANYDEPTH = 2,
CV_LOAD_IMAGE_ANYCOLOR = 4,
CV_LOAD_IMAGE_IGNORE_ORIENTATION = 128,
CV_IMWRITE_JPEG_QUALITY = 1,
CV_IMWRITE_JPEG_PROGRESSIVE = 2,
CV_IMWRITE_JPEG_OPTIMIZE = 3,
CV_IMWRITE_JPEG_RST_INTERVAL = 4,
CV_IMWRITE_JPEG_LUMA_QUALITY = 5,
CV_IMWRITE_JPEG_CHROMA_QUALITY = 6,
CV_IMWRITE_PNG_COMPRESSION = 16,
CV_IMWRITE_PNG_STRATEGY = 17,
CV_IMWRITE_PNG_BILEVEL = 18,
CV_IMWRITE_PNG_STRATEGY_DEFAULT = 0,
CV_IMWRITE_PNG_STRATEGY_FILTERED = 1,
CV_IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY = 2,
CV_IMWRITE_PNG_STRATEGY_RLE = 3,
CV_IMWRITE_PNG_STRATEGY_FIXED = 4,
CV_IMWRITE_PXM_BINARY = 32,
CV_IMWRITE_EXR_TYPE = 48,
CV_IMWRITE_WEBP_QUALITY = 64,
CV_IMWRITE_PAM_TUPLETYPE = 128,
CV_IMWRITE_PAM_FORMAT_NULL = 0,
CV_IMWRITE_PAM_FORMAT_BLACKANDWHITE = 1,
CV_IMWRITE_PAM_FORMAT_GRAYSCALE = 2,
CV_IMWRITE_PAM_FORMAT_GRAYSCALE_ALPHA = 3,
CV_IMWRITE_PAM_FORMAT_RGB = 4,
CV_IMWRITE_PAM_FORMAT_RGB_ALPHA = 5,
CV_CVTIMG_FLIP = 1,
CV_CVTIMG_SWAP_RB = 2,
IMREAD_UNCHANGED = -1,
IMREAD_GRAYSCALE = 0,
IMREAD_COLOR = 1,
IMREAD_ANYDEPTH = 2,
IMREAD_ANYCOLOR = 4,
IMREAD_LOAD_GDAL = 8,
IMREAD_REDUCED_GRAYSCALE_2 = 16,
IMREAD_REDUCED_COLOR_2 = 17,
IMREAD_REDUCED_GRAYSCALE_4 = 32,
IMREAD_REDUCED_COLOR_4 = 33,
IMREAD_REDUCED_GRAYSCALE_8 = 64,
IMREAD_REDUCED_COLOR_8 = 65,
IMREAD_IGNORE_ORIENTATION = 128,
IMWRITE_JPEG_QUALITY = 1,
IMWRITE_JPEG_PROGRESSIVE = 2,
IMWRITE_JPEG_OPTIMIZE = 3,
IMWRITE_JPEG_RST_INTERVAL = 4,
IMWRITE_JPEG_LUMA_QUALITY = 5,
IMWRITE_JPEG_CHROMA_QUALITY = 6,
IMWRITE_PNG_COMPRESSION = 16,
IMWRITE_PNG_STRATEGY = 17,
IMWRITE_PNG_BILEVEL = 18,
IMWRITE_PXM_BINARY = 32,
IMWRITE_EXR_TYPE = (3 << 4) + 0,
IMWRITE_WEBP_QUALITY = 64,
IMWRITE_PAM_TUPLETYPE = 128,
IMWRITE_TIFF_RESUNIT = 256,
IMWRITE_TIFF_XDPI = 257,
IMWRITE_TIFF_YDPI = 258,
IMWRITE_EXR_TYPE_HALF = 1,
IMWRITE_EXR_TYPE_FLOAT = 2,
IMWRITE_PNG_STRATEGY_DEFAULT = 0,
IMWRITE_PNG_STRATEGY_FILTERED = 1,
IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY = 2,
IMWRITE_PNG_STRATEGY_RLE = 3,
IMWRITE_PNG_STRATEGY_FIXED = 4,
IMWRITE_PAM_FORMAT_NULL = 0,
IMWRITE_PAM_FORMAT_BLACKANDWHITE = 1,
IMWRITE_PAM_FORMAT_GRAYSCALE = 2,
IMWRITE_PAM_FORMAT_GRAYSCALE_ALPHA = 3,
IMWRITE_PAM_FORMAT_RGB = 4,
IMWRITE_PAM_FORMAT_RGB_ALPHA = 5;
//
// C++: Mat imdecode(Mat buf, int flags)
//
//javadoc: imdecode(buf, flags)
public static Mat imdecode(Mat buf, int flags)
{
Mat retVal = new Mat(imdecode_0(buf.nativeObj, flags));
return retVal;
}
//
// C++: Mat imread(String filename, int flags = IMREAD_COLOR)
//
//javadoc: imread(filename, flags)
public static Mat imread(String filename, int flags)
{
Mat retVal = new Mat(imread_0(filename, flags));
return retVal;
}
//javadoc: imread(filename)
public static Mat imread(String filename)
{
Mat retVal = new Mat(imread_1(filename));
return retVal;
}
//
// C++: bool imencode(String ext, Mat img, vector_uchar& buf, vector_int params = std::vector<int>())
//
//javadoc: imencode(ext, img, buf, params)
public static boolean imencode(String ext, Mat img, MatOfByte buf, MatOfInt params)
{
Mat buf_mat = buf;
Mat params_mat = params;
boolean retVal = imencode_0(ext, img.nativeObj, buf_mat.nativeObj, params_mat.nativeObj);
return retVal;
}
//javadoc: imencode(ext, img, buf)
public static boolean imencode(String ext, Mat img, MatOfByte buf)
{
Mat buf_mat = buf;
boolean retVal = imencode_1(ext, img.nativeObj, buf_mat.nativeObj);
return retVal;
}
//
// C++: bool imreadmulti(String filename, vector_Mat& mats, int flags = IMREAD_ANYCOLOR)
//
//javadoc: imreadmulti(filename, mats, flags)
public static boolean imreadmulti(String filename, List<Mat> mats, int flags)
{
Mat mats_mat = new Mat();
boolean retVal = imreadmulti_0(filename, mats_mat.nativeObj, flags);
Converters.Mat_to_vector_Mat(mats_mat, mats);
mats_mat.release();
return retVal;
}
//javadoc: imreadmulti(filename, mats)
public static boolean imreadmulti(String filename, List<Mat> mats)
{
Mat mats_mat = new Mat();
boolean retVal = imreadmulti_1(filename, mats_mat.nativeObj);
Converters.Mat_to_vector_Mat(mats_mat, mats);
mats_mat.release();
return retVal;
}
//
// C++: bool imwrite(String filename, Mat img, vector_int params = std::vector<int>())
//
//javadoc: imwrite(filename, img, params)
public static boolean imwrite(String filename, Mat img, MatOfInt params)
{
Mat params_mat = params;
boolean retVal = imwrite_0(filename, img.nativeObj, params_mat.nativeObj);
return retVal;
}
//javadoc: imwrite(filename, img)
public static boolean imwrite(String filename, Mat img)
{
boolean retVal = imwrite_1(filename, img.nativeObj);
return retVal;
}
// C++: Mat imdecode(Mat buf, int flags)
private static native long imdecode_0(long buf_nativeObj, int flags);
// C++: Mat imread(String filename, int flags = IMREAD_COLOR)
private static native long imread_0(String filename, int flags);
private static native long imread_1(String filename);
// C++: bool imencode(String ext, Mat img, vector_uchar& buf, vector_int params = std::vector<int>())
private static native boolean imencode_0(String ext, long img_nativeObj, long buf_mat_nativeObj, long params_mat_nativeObj);
private static native boolean imencode_1(String ext, long img_nativeObj, long buf_mat_nativeObj);
// C++: bool imreadmulti(String filename, vector_Mat& mats, int flags = IMREAD_ANYCOLOR)
private static native boolean imreadmulti_0(String filename, long mats_mat_nativeObj, int flags);
private static native boolean imreadmulti_1(String filename, long mats_mat_nativeObj);
// C++: bool imwrite(String filename, Mat img, vector_int params = std::vector<int>())
private static native boolean imwrite_0(String filename, long img_nativeObj, long params_mat_nativeObj);
private static native boolean imwrite_1(String filename, long img_nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/imgproc/CLAHE.java
+132
View File
@@ -0,0 +1,132 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.imgproc;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.Size;
// C++: class CLAHE
//javadoc: CLAHE
public class CLAHE extends Algorithm {
protected CLAHE(long addr) { super(addr); }
// internal usage only
public static CLAHE __fromPtr__(long addr) { return new CLAHE(addr); }
//
// C++: Size getTilesGridSize()
//
//javadoc: CLAHE::getTilesGridSize()
public Size getTilesGridSize()
{
Size retVal = new Size(getTilesGridSize_0(nativeObj));
return retVal;
}
//
// C++: double getClipLimit()
//
//javadoc: CLAHE::getClipLimit()
public double getClipLimit()
{
double retVal = getClipLimit_0(nativeObj);
return retVal;
}
//
// C++: void apply(Mat src, Mat& dst)
//
//javadoc: CLAHE::apply(src, dst)
public void apply(Mat src, Mat dst)
{
apply_0(nativeObj, src.nativeObj, dst.nativeObj);
return;
}
//
// C++: void collectGarbage()
//
//javadoc: CLAHE::collectGarbage()
public void collectGarbage()
{
collectGarbage_0(nativeObj);
return;
}
//
// C++: void setClipLimit(double clipLimit)
//
//javadoc: CLAHE::setClipLimit(clipLimit)
public void setClipLimit(double clipLimit)
{
setClipLimit_0(nativeObj, clipLimit);
return;
}
//
// C++: void setTilesGridSize(Size tileGridSize)
//
//javadoc: CLAHE::setTilesGridSize(tileGridSize)
public void setTilesGridSize(Size tileGridSize)
{
setTilesGridSize_0(nativeObj, tileGridSize.width, tileGridSize.height);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Size getTilesGridSize()
private static native double[] getTilesGridSize_0(long nativeObj);
// C++: double getClipLimit()
private static native double getClipLimit_0(long nativeObj);
// C++: void apply(Mat src, Mat& dst)
private static native void apply_0(long nativeObj, long src_nativeObj, long dst_nativeObj);
// C++: void collectGarbage()
private static native void collectGarbage_0(long nativeObj);
// C++: void setClipLimit(double clipLimit)
private static native void setClipLimit_0(long nativeObj, double clipLimit);
// C++: void setTilesGridSize(Size tileGridSize)
private static native void setTilesGridSize_0(long nativeObj, double tileGridSize_width, double tileGridSize_height);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/imgproc/Imgproc.java
+3677
View File
File diff suppressed because it is too large Load Diff
Prj-Android/openCVLibrary342/src/main/java/org/opencv/imgproc/LineSegmentDetector.java
+101
View File
@@ -0,0 +1,101 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.imgproc;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.Size;
// C++: class LineSegmentDetector
//javadoc: LineSegmentDetector
public class LineSegmentDetector extends Algorithm {
protected LineSegmentDetector(long addr) { super(addr); }
// internal usage only
public static LineSegmentDetector __fromPtr__(long addr) { return new LineSegmentDetector(addr); }
//
// C++: int compareSegments(Size size, Mat lines1, Mat lines2, Mat& _image = Mat())
//
//javadoc: LineSegmentDetector::compareSegments(size, lines1, lines2, _image)
public int compareSegments(Size size, Mat lines1, Mat lines2, Mat _image)
{
int retVal = compareSegments_0(nativeObj, size.width, size.height, lines1.nativeObj, lines2.nativeObj, _image.nativeObj);
return retVal;
}
//javadoc: LineSegmentDetector::compareSegments(size, lines1, lines2)
public int compareSegments(Size size, Mat lines1, Mat lines2)
{
int retVal = compareSegments_1(nativeObj, size.width, size.height, lines1.nativeObj, lines2.nativeObj);
return retVal;
}
//
// C++: void detect(Mat _image, Mat& _lines, Mat& width = Mat(), Mat& prec = Mat(), Mat& nfa = Mat())
//
//javadoc: LineSegmentDetector::detect(_image, _lines, width, prec, nfa)
public void detect(Mat _image, Mat _lines, Mat width, Mat prec, Mat nfa)
{
detect_0(nativeObj, _image.nativeObj, _lines.nativeObj, width.nativeObj, prec.nativeObj, nfa.nativeObj);
return;
}
//javadoc: LineSegmentDetector::detect(_image, _lines)
public void detect(Mat _image, Mat _lines)
{
detect_1(nativeObj, _image.nativeObj, _lines.nativeObj);
return;
}
//
// C++: void drawSegments(Mat& _image, Mat lines)
//
//javadoc: LineSegmentDetector::drawSegments(_image, lines)
public void drawSegments(Mat _image, Mat lines)
{
drawSegments_0(nativeObj, _image.nativeObj, lines.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: int compareSegments(Size size, Mat lines1, Mat lines2, Mat& _image = Mat())
private static native int compareSegments_0(long nativeObj, double size_width, double size_height, long lines1_nativeObj, long lines2_nativeObj, long _image_nativeObj);
private static native int compareSegments_1(long nativeObj, double size_width, double size_height, long lines1_nativeObj, long lines2_nativeObj);
// C++: void detect(Mat _image, Mat& _lines, Mat& width = Mat(), Mat& prec = Mat(), Mat& nfa = Mat())
private static native void detect_0(long nativeObj, long _image_nativeObj, long _lines_nativeObj, long width_nativeObj, long prec_nativeObj, long nfa_nativeObj);
private static native void detect_1(long nativeObj, long _image_nativeObj, long _lines_nativeObj);
// C++: void drawSegments(Mat& _image, Mat lines)
private static native void drawSegments_0(long nativeObj, long _image_nativeObj, long lines_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/imgproc/Moments.java
+244
View File
@@ -0,0 +1,244 @@
package org.opencv.imgproc;
import java.lang.Math;
//javadoc:Moments
public class Moments {
public double m00;
public double m10;
public double m01;
public double m20;
public double m11;
public double m02;
public double m30;
public double m21;
public double m12;
public double m03;
public double mu20;
public double mu11;
public double mu02;
public double mu30;
public double mu21;
public double mu12;
public double mu03;
public double nu20;
public double nu11;
public double nu02;
public double nu30;
public double nu21;
public double nu12;
public double nu03;
public Moments(
double m00,
double m10,
double m01,
double m20,
double m11,
double m02,
double m30,
double m21,
double m12,
double m03)
{
this.m00 = m00;
this.m10 = m10;
this.m01 = m01;
this.m20 = m20;
this.m11 = m11;
this.m02 = m02;
this.m30 = m30;
this.m21 = m21;
this.m12 = m12;
this.m03 = m03;
this.completeState();
}
public Moments() {
this(0, 0, 0, 0, 0, 0, 0, 0, 0, 0);
}
public Moments(double[] vals) {
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
m00 = vals.length > 0 ? vals[0] : 0;
m10 = vals.length > 1 ? vals[1] : 0;
m01 = vals.length > 2 ? vals[2] : 0;
m20 = vals.length > 3 ? vals[3] : 0;
m11 = vals.length > 4 ? vals[4] : 0;
m02 = vals.length > 5 ? vals[5] : 0;
m30 = vals.length > 6 ? vals[6] : 0;
m21 = vals.length > 7 ? vals[7] : 0;
m12 = vals.length > 8 ? vals[8] : 0;
m03 = vals.length > 9 ? vals[9] : 0;
this.completeState();
} else {
m00 = 0;
m10 = 0;
m01 = 0;
m20 = 0;
m11 = 0;
m02 = 0;
m30 = 0;
m21 = 0;
m12 = 0;
m03 = 0;
mu20 = 0;
mu11 = 0;
mu02 = 0;
mu30 = 0;
mu21 = 0;
mu12 = 0;
mu03 = 0;
nu20 = 0;
nu11 = 0;
nu02 = 0;
nu30 = 0;
nu21 = 0;
nu12 = 0;
nu03 = 0;
}
}
@Override
public String toString() {
return "Moments [ " +
"\n" +
"m00=" + m00 + ", " +
"\n" +
"m10=" + m10 + ", " +
"m01=" + m01 + ", " +
"\n" +
"m20=" + m20 + ", " +
"m11=" + m11 + ", " +
"m02=" + m02 + ", " +
"\n" +
"m30=" + m30 + ", " +
"m21=" + m21 + ", " +
"m12=" + m12 + ", " +
"m03=" + m03 + ", " +
"\n" +
"mu20=" + mu20 + ", " +
"mu11=" + mu11 + ", " +
"mu02=" + mu02 + ", " +
"\n" +
"mu30=" + mu30 + ", " +
"mu21=" + mu21 + ", " +
"mu12=" + mu12 + ", " +
"mu03=" + mu03 + ", " +
"\n" +
"nu20=" + nu20 + ", " +
"nu11=" + nu11 + ", " +
"nu02=" + nu02 + ", " +
"\n" +
"nu30=" + nu30 + ", " +
"nu21=" + nu21 + ", " +
"nu12=" + nu12 + ", " +
"nu03=" + nu03 + ", " +
"\n]";
}
protected void completeState()
{
double cx = 0, cy = 0;
double mu20, mu11, mu02;
double inv_m00 = 0.0;
if( Math.abs(this.m00) > 0.00000001 )
{
inv_m00 = 1. / this.m00;
cx = this.m10 * inv_m00;
cy = this.m01 * inv_m00;
}
// mu20 = m20 - m10*cx
mu20 = this.m20 - this.m10 * cx;
// mu11 = m11 - m10*cy
mu11 = this.m11 - this.m10 * cy;
// mu02 = m02 - m01*cy
mu02 = this.m02 - this.m01 * cy;
this.mu20 = mu20;
this.mu11 = mu11;
this.mu02 = mu02;
// mu30 = m30 - cx*(3*mu20 + cx*m10)
this.mu30 = this.m30 - cx * (3 * mu20 + cx * this.m10);
mu11 += mu11;
// mu21 = m21 - cx*(2*mu11 + cx*m01) - cy*mu20
this.mu21 = this.m21 - cx * (mu11 + cx * this.m01) - cy * mu20;
// mu12 = m12 - cy*(2*mu11 + cy*m10) - cx*mu02
this.mu12 = this.m12 - cy * (mu11 + cy * this.m10) - cx * mu02;
// mu03 = m03 - cy*(3*mu02 + cy*m01)
this.mu03 = this.m03 - cy * (3 * mu02 + cy * this.m01);
double inv_sqrt_m00 = Math.sqrt(Math.abs(inv_m00));
double s2 = inv_m00*inv_m00, s3 = s2*inv_sqrt_m00;
this.nu20 = this.mu20*s2;
this.nu11 = this.mu11*s2;
this.nu02 = this.mu02*s2;
this.nu30 = this.mu30*s3;
this.nu21 = this.mu21*s3;
this.nu12 = this.mu12*s3;
this.nu03 = this.mu03*s3;
}
public double get_m00() { return this.m00; }
public double get_m10() { return this.m10; }
public double get_m01() { return this.m01; }
public double get_m20() { return this.m20; }
public double get_m11() { return this.m11; }
public double get_m02() { return this.m02; }
public double get_m30() { return this.m30; }
public double get_m21() { return this.m21; }
public double get_m12() { return this.m12; }
public double get_m03() { return this.m03; }
public double get_mu20() { return this.mu20; }
public double get_mu11() { return this.mu11; }
public double get_mu02() { return this.mu02; }
public double get_mu30() { return this.mu30; }
public double get_mu21() { return this.mu21; }
public double get_mu12() { return this.mu12; }
public double get_mu03() { return this.mu03; }
public double get_nu20() { return this.nu20; }
public double get_nu11() { return this.nu11; }
public double get_nu02() { return this.nu02; }
public double get_nu30() { return this.nu30; }
public double get_nu21() { return this.nu21; }
public double get_nu12() { return this.nu12; }
public double get_nu03() { return this.nu03; }
public void set_m00(double m00) { this.m00 = m00; }
public void set_m10(double m10) { this.m10 = m10; }
public void set_m01(double m01) { this.m01 = m01; }
public void set_m20(double m20) { this.m20 = m20; }
public void set_m11(double m11) { this.m11 = m11; }
public void set_m02(double m02) { this.m02 = m02; }
public void set_m30(double m30) { this.m30 = m30; }
public void set_m21(double m21) { this.m21 = m21; }
public void set_m12(double m12) { this.m12 = m12; }
public void set_m03(double m03) { this.m03 = m03; }
public void set_mu20(double mu20) { this.mu20 = mu20; }
public void set_mu11(double mu11) { this.mu11 = mu11; }
public void set_mu02(double mu02) { this.mu02 = mu02; }
public void set_mu30(double mu30) { this.mu30 = mu30; }
public void set_mu21(double mu21) { this.mu21 = mu21; }
public void set_mu12(double mu12) { this.mu12 = mu12; }
public void set_mu03(double mu03) { this.mu03 = mu03; }
public void set_nu20(double nu20) { this.nu20 = nu20; }
public void set_nu11(double nu11) { this.nu11 = nu11; }
public void set_nu02(double nu02) { this.nu02 = nu02; }
public void set_nu30(double nu30) { this.nu30 = nu30; }
public void set_nu21(double nu21) { this.nu21 = nu21; }
public void set_nu12(double nu12) { this.nu12 = nu12; }
public void set_nu03(double nu03) { this.nu03 = nu03; }
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/imgproc/Subdiv2D.java
+407
View File
@@ -0,0 +1,407 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.imgproc;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat4;
import org.opencv.core.MatOfFloat6;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.utils.Converters;
// C++: class Subdiv2D
//javadoc: Subdiv2D
public class Subdiv2D {
protected final long nativeObj;
protected Subdiv2D(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static Subdiv2D __fromPtr__(long addr) { return new Subdiv2D(addr); }
public static final int
PTLOC_ERROR = -2,
PTLOC_OUTSIDE_RECT = -1,
PTLOC_INSIDE = 0,
PTLOC_VERTEX = 1,
PTLOC_ON_EDGE = 2,
NEXT_AROUND_ORG = 0x00,
NEXT_AROUND_DST = 0x22,
PREV_AROUND_ORG = 0x11,
PREV_AROUND_DST = 0x33,
NEXT_AROUND_LEFT = 0x13,
NEXT_AROUND_RIGHT = 0x31,
PREV_AROUND_LEFT = 0x20,
PREV_AROUND_RIGHT = 0x02;
//
// C++: Subdiv2D(Rect rect)
//
//javadoc: Subdiv2D::Subdiv2D(rect)
public Subdiv2D(Rect rect)
{
nativeObj = Subdiv2D_0(rect.x, rect.y, rect.width, rect.height);
return;
}
//
// C++: Subdiv2D()
//
//javadoc: Subdiv2D::Subdiv2D()
public Subdiv2D()
{
nativeObj = Subdiv2D_1();
return;
}
//
// C++: Point2f getVertex(int vertex, int* firstEdge = 0)
//
//javadoc: Subdiv2D::getVertex(vertex, firstEdge)
public Point getVertex(int vertex, int[] firstEdge)
{
double[] firstEdge_out = new double[1];
Point retVal = new Point(getVertex_0(nativeObj, vertex, firstEdge_out));
if(firstEdge!=null) firstEdge[0] = (int)firstEdge_out[0];
return retVal;
}
//javadoc: Subdiv2D::getVertex(vertex)
public Point getVertex(int vertex)
{
Point retVal = new Point(getVertex_1(nativeObj, vertex));
return retVal;
}
//
// C++: int edgeDst(int edge, Point2f* dstpt = 0)
//
//javadoc: Subdiv2D::edgeDst(edge, dstpt)
public int edgeDst(int edge, Point dstpt)
{
double[] dstpt_out = new double[2];
int retVal = edgeDst_0(nativeObj, edge, dstpt_out);
if(dstpt!=null){ dstpt.x = dstpt_out[0]; dstpt.y = dstpt_out[1]; }
return retVal;
}
//javadoc: Subdiv2D::edgeDst(edge)
public int edgeDst(int edge)
{
int retVal = edgeDst_1(nativeObj, edge);
return retVal;
}
//
// C++: int edgeOrg(int edge, Point2f* orgpt = 0)
//
//javadoc: Subdiv2D::edgeOrg(edge, orgpt)
public int edgeOrg(int edge, Point orgpt)
{
double[] orgpt_out = new double[2];
int retVal = edgeOrg_0(nativeObj, edge, orgpt_out);
if(orgpt!=null){ orgpt.x = orgpt_out[0]; orgpt.y = orgpt_out[1]; }
return retVal;
}
//javadoc: Subdiv2D::edgeOrg(edge)
public int edgeOrg(int edge)
{
int retVal = edgeOrg_1(nativeObj, edge);
return retVal;
}
//
// C++: int findNearest(Point2f pt, Point2f* nearestPt = 0)
//
//javadoc: Subdiv2D::findNearest(pt, nearestPt)
public int findNearest(Point pt, Point nearestPt)
{
double[] nearestPt_out = new double[2];
int retVal = findNearest_0(nativeObj, pt.x, pt.y, nearestPt_out);
if(nearestPt!=null){ nearestPt.x = nearestPt_out[0]; nearestPt.y = nearestPt_out[1]; }
return retVal;
}
//javadoc: Subdiv2D::findNearest(pt)
public int findNearest(Point pt)
{
int retVal = findNearest_1(nativeObj, pt.x, pt.y);
return retVal;
}
//
// C++: int getEdge(int edge, int nextEdgeType)
//
//javadoc: Subdiv2D::getEdge(edge, nextEdgeType)
public int getEdge(int edge, int nextEdgeType)
{
int retVal = getEdge_0(nativeObj, edge, nextEdgeType);
return retVal;
}
//
// C++: int insert(Point2f pt)
//
//javadoc: Subdiv2D::insert(pt)
public int insert(Point pt)
{
int retVal = insert_0(nativeObj, pt.x, pt.y);
return retVal;
}
//
// C++: int locate(Point2f pt, int& edge, int& vertex)
//
//javadoc: Subdiv2D::locate(pt, edge, vertex)
public int locate(Point pt, int[] edge, int[] vertex)
{
double[] edge_out = new double[1];
double[] vertex_out = new double[1];
int retVal = locate_0(nativeObj, pt.x, pt.y, edge_out, vertex_out);
if(edge!=null) edge[0] = (int)edge_out[0];
if(vertex!=null) vertex[0] = (int)vertex_out[0];
return retVal;
}
//
// C++: int nextEdge(int edge)
//
//javadoc: Subdiv2D::nextEdge(edge)
public int nextEdge(int edge)
{
int retVal = nextEdge_0(nativeObj, edge);
return retVal;
}
//
// C++: int rotateEdge(int edge, int rotate)
//
//javadoc: Subdiv2D::rotateEdge(edge, rotate)
public int rotateEdge(int edge, int rotate)
{
int retVal = rotateEdge_0(nativeObj, edge, rotate);
return retVal;
}
//
// C++: int symEdge(int edge)
//
//javadoc: Subdiv2D::symEdge(edge)
public int symEdge(int edge)
{
int retVal = symEdge_0(nativeObj, edge);
return retVal;
}
//
// C++: void getEdgeList(vector_Vec4f& edgeList)
//
//javadoc: Subdiv2D::getEdgeList(edgeList)
public void getEdgeList(MatOfFloat4 edgeList)
{
Mat edgeList_mat = edgeList;
getEdgeList_0(nativeObj, edgeList_mat.nativeObj);
return;
}
//
// C++: void getLeadingEdgeList(vector_int& leadingEdgeList)
//
//javadoc: Subdiv2D::getLeadingEdgeList(leadingEdgeList)
public void getLeadingEdgeList(MatOfInt leadingEdgeList)
{
Mat leadingEdgeList_mat = leadingEdgeList;
getLeadingEdgeList_0(nativeObj, leadingEdgeList_mat.nativeObj);
return;
}
//
// C++: void getTriangleList(vector_Vec6f& triangleList)
//
//javadoc: Subdiv2D::getTriangleList(triangleList)
public void getTriangleList(MatOfFloat6 triangleList)
{
Mat triangleList_mat = triangleList;
getTriangleList_0(nativeObj, triangleList_mat.nativeObj);
return;
}
//
// C++: void getVoronoiFacetList(vector_int idx, vector_vector_Point2f& facetList, vector_Point2f& facetCenters)
//
//javadoc: Subdiv2D::getVoronoiFacetList(idx, facetList, facetCenters)
public void getVoronoiFacetList(MatOfInt idx, List<MatOfPoint2f> facetList, MatOfPoint2f facetCenters)
{
Mat idx_mat = idx;
Mat facetList_mat = new Mat();
Mat facetCenters_mat = facetCenters;
getVoronoiFacetList_0(nativeObj, idx_mat.nativeObj, facetList_mat.nativeObj, facetCenters_mat.nativeObj);
Converters.Mat_to_vector_vector_Point2f(facetList_mat, facetList);
facetList_mat.release();
return;
}
//
// C++: void initDelaunay(Rect rect)
//
//javadoc: Subdiv2D::initDelaunay(rect)
public void initDelaunay(Rect rect)
{
initDelaunay_0(nativeObj, rect.x, rect.y, rect.width, rect.height);
return;
}
//
// C++: void insert(vector_Point2f ptvec)
//
//javadoc: Subdiv2D::insert(ptvec)
public void insert(MatOfPoint2f ptvec)
{
Mat ptvec_mat = ptvec;
insert_1(nativeObj, ptvec_mat.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Subdiv2D(Rect rect)
private static native long Subdiv2D_0(int rect_x, int rect_y, int rect_width, int rect_height);
// C++: Subdiv2D()
private static native long Subdiv2D_1();
// C++: Point2f getVertex(int vertex, int* firstEdge = 0)
private static native double[] getVertex_0(long nativeObj, int vertex, double[] firstEdge_out);
private static native double[] getVertex_1(long nativeObj, int vertex);
// C++: int edgeDst(int edge, Point2f* dstpt = 0)
private static native int edgeDst_0(long nativeObj, int edge, double[] dstpt_out);
private static native int edgeDst_1(long nativeObj, int edge);
// C++: int edgeOrg(int edge, Point2f* orgpt = 0)
private static native int edgeOrg_0(long nativeObj, int edge, double[] orgpt_out);
private static native int edgeOrg_1(long nativeObj, int edge);
// C++: int findNearest(Point2f pt, Point2f* nearestPt = 0)
private static native int findNearest_0(long nativeObj, double pt_x, double pt_y, double[] nearestPt_out);
private static native int findNearest_1(long nativeObj, double pt_x, double pt_y);
// C++: int getEdge(int edge, int nextEdgeType)
private static native int getEdge_0(long nativeObj, int edge, int nextEdgeType);
// C++: int insert(Point2f pt)
private static native int insert_0(long nativeObj, double pt_x, double pt_y);
// C++: int locate(Point2f pt, int& edge, int& vertex)
private static native int locate_0(long nativeObj, double pt_x, double pt_y, double[] edge_out, double[] vertex_out);
// C++: int nextEdge(int edge)
private static native int nextEdge_0(long nativeObj, int edge);
// C++: int rotateEdge(int edge, int rotate)
private static native int rotateEdge_0(long nativeObj, int edge, int rotate);
// C++: int symEdge(int edge)
private static native int symEdge_0(long nativeObj, int edge);
// C++: void getEdgeList(vector_Vec4f& edgeList)
private static native void getEdgeList_0(long nativeObj, long edgeList_mat_nativeObj);
// C++: void getLeadingEdgeList(vector_int& leadingEdgeList)
private static native void getLeadingEdgeList_0(long nativeObj, long leadingEdgeList_mat_nativeObj);
// C++: void getTriangleList(vector_Vec6f& triangleList)
private static native void getTriangleList_0(long nativeObj, long triangleList_mat_nativeObj);
// C++: void getVoronoiFacetList(vector_int idx, vector_vector_Point2f& facetList, vector_Point2f& facetCenters)
private static native void getVoronoiFacetList_0(long nativeObj, long idx_mat_nativeObj, long facetList_mat_nativeObj, long facetCenters_mat_nativeObj);
// C++: void initDelaunay(Rect rect)
private static native void initDelaunay_0(long nativeObj, int rect_x, int rect_y, int rect_width, int rect_height);
// C++: void insert(vector_Point2f ptvec)
private static native void insert_1(long nativeObj, long ptvec_mat_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/ANN_MLP.java
+610
View File
@@ -0,0 +1,610 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.ml.ANN_MLP;
import org.opencv.ml.StatModel;
// C++: class ANN_MLP
//javadoc: ANN_MLP
public class ANN_MLP extends StatModel {
protected ANN_MLP(long addr) { super(addr); }
// internal usage only
public static ANN_MLP __fromPtr__(long addr) { return new ANN_MLP(addr); }
public static final int
BACKPROP = 0,
RPROP = 1,
ANNEAL = 2,
IDENTITY = 0,
SIGMOID_SYM = 1,
GAUSSIAN = 2,
RELU = 3,
LEAKYRELU = 4,
UPDATE_WEIGHTS = 1,
NO_INPUT_SCALE = 2,
NO_OUTPUT_SCALE = 4;
//
// C++: Mat getLayerSizes()
//
//javadoc: ANN_MLP::getLayerSizes()
public Mat getLayerSizes()
{
Mat retVal = new Mat(getLayerSizes_0(nativeObj));
return retVal;
}
//
// C++: Mat getWeights(int layerIdx)
//
//javadoc: ANN_MLP::getWeights(layerIdx)
public Mat getWeights(int layerIdx)
{
Mat retVal = new Mat(getWeights_0(nativeObj, layerIdx));
return retVal;
}
//
// C++: static Ptr_ANN_MLP create()
//
//javadoc: ANN_MLP::create()
public static ANN_MLP create()
{
ANN_MLP retVal = ANN_MLP.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_ANN_MLP load(String filepath)
//
//javadoc: ANN_MLP::load(filepath)
public static ANN_MLP load(String filepath)
{
ANN_MLP retVal = ANN_MLP.__fromPtr__(load_0(filepath));
return retVal;
}
//
// C++: TermCriteria getTermCriteria()
//
//javadoc: ANN_MLP::getTermCriteria()
public TermCriteria getTermCriteria()
{
TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj));
return retVal;
}
//
// C++: double getAnnealCoolingRatio()
//
//javadoc: ANN_MLP::getAnnealCoolingRatio()
public double getAnnealCoolingRatio()
{
double retVal = getAnnealCoolingRatio_0(nativeObj);
return retVal;
}
//
// C++: double getAnnealFinalT()
//
//javadoc: ANN_MLP::getAnnealFinalT()
public double getAnnealFinalT()
{
double retVal = getAnnealFinalT_0(nativeObj);
return retVal;
}
//
// C++: double getAnnealInitialT()
//
//javadoc: ANN_MLP::getAnnealInitialT()
public double getAnnealInitialT()
{
double retVal = getAnnealInitialT_0(nativeObj);
return retVal;
}
//
// C++: double getBackpropMomentumScale()
//
//javadoc: ANN_MLP::getBackpropMomentumScale()
public double getBackpropMomentumScale()
{
double retVal = getBackpropMomentumScale_0(nativeObj);
return retVal;
}
//
// C++: double getBackpropWeightScale()
//
//javadoc: ANN_MLP::getBackpropWeightScale()
public double getBackpropWeightScale()
{
double retVal = getBackpropWeightScale_0(nativeObj);
return retVal;
}
//
// C++: double getRpropDW0()
//
//javadoc: ANN_MLP::getRpropDW0()
public double getRpropDW0()
{
double retVal = getRpropDW0_0(nativeObj);
return retVal;
}
//
// C++: double getRpropDWMax()
//
//javadoc: ANN_MLP::getRpropDWMax()
public double getRpropDWMax()
{
double retVal = getRpropDWMax_0(nativeObj);
return retVal;
}
//
// C++: double getRpropDWMin()
//
//javadoc: ANN_MLP::getRpropDWMin()
public double getRpropDWMin()
{
double retVal = getRpropDWMin_0(nativeObj);
return retVal;
}
//
// C++: double getRpropDWMinus()
//
//javadoc: ANN_MLP::getRpropDWMinus()
public double getRpropDWMinus()
{
double retVal = getRpropDWMinus_0(nativeObj);
return retVal;
}
//
// C++: double getRpropDWPlus()
//
//javadoc: ANN_MLP::getRpropDWPlus()
public double getRpropDWPlus()
{
double retVal = getRpropDWPlus_0(nativeObj);
return retVal;
}
//
// C++: int getAnnealItePerStep()
//
//javadoc: ANN_MLP::getAnnealItePerStep()
public int getAnnealItePerStep()
{
int retVal = getAnnealItePerStep_0(nativeObj);
return retVal;
}
//
// C++: int getTrainMethod()
//
//javadoc: ANN_MLP::getTrainMethod()
public int getTrainMethod()
{
int retVal = getTrainMethod_0(nativeObj);
return retVal;
}
//
// C++: void setActivationFunction(int type, double param1 = 0, double param2 = 0)
//
//javadoc: ANN_MLP::setActivationFunction(type, param1, param2)
public void setActivationFunction(int type, double param1, double param2)
{
setActivationFunction_0(nativeObj, type, param1, param2);
return;
}
//javadoc: ANN_MLP::setActivationFunction(type)
public void setActivationFunction(int type)
{
setActivationFunction_1(nativeObj, type);
return;
}
//
// C++: void setAnnealCoolingRatio(double val)
//
//javadoc: ANN_MLP::setAnnealCoolingRatio(val)
public void setAnnealCoolingRatio(double val)
{
setAnnealCoolingRatio_0(nativeObj, val);
return;
}
//
// C++: void setAnnealFinalT(double val)
//
//javadoc: ANN_MLP::setAnnealFinalT(val)
public void setAnnealFinalT(double val)
{
setAnnealFinalT_0(nativeObj, val);
return;
}
//
// C++: void setAnnealInitialT(double val)
//
//javadoc: ANN_MLP::setAnnealInitialT(val)
public void setAnnealInitialT(double val)
{
setAnnealInitialT_0(nativeObj, val);
return;
}
//
// C++: void setAnnealItePerStep(int val)
//
//javadoc: ANN_MLP::setAnnealItePerStep(val)
public void setAnnealItePerStep(int val)
{
setAnnealItePerStep_0(nativeObj, val);
return;
}
//
// C++: void setBackpropMomentumScale(double val)
//
//javadoc: ANN_MLP::setBackpropMomentumScale(val)
public void setBackpropMomentumScale(double val)
{
setBackpropMomentumScale_0(nativeObj, val);
return;
}
//
// C++: void setBackpropWeightScale(double val)
//
//javadoc: ANN_MLP::setBackpropWeightScale(val)
public void setBackpropWeightScale(double val)
{
setBackpropWeightScale_0(nativeObj, val);
return;
}
//
// C++: void setLayerSizes(Mat _layer_sizes)
//
//javadoc: ANN_MLP::setLayerSizes(_layer_sizes)
public void setLayerSizes(Mat _layer_sizes)
{
setLayerSizes_0(nativeObj, _layer_sizes.nativeObj);
return;
}
//
// C++: void setRpropDW0(double val)
//
//javadoc: ANN_MLP::setRpropDW0(val)
public void setRpropDW0(double val)
{
setRpropDW0_0(nativeObj, val);
return;
}
//
// C++: void setRpropDWMax(double val)
//
//javadoc: ANN_MLP::setRpropDWMax(val)
public void setRpropDWMax(double val)
{
setRpropDWMax_0(nativeObj, val);
return;
}
//
// C++: void setRpropDWMin(double val)
//
//javadoc: ANN_MLP::setRpropDWMin(val)
public void setRpropDWMin(double val)
{
setRpropDWMin_0(nativeObj, val);
return;
}
//
// C++: void setRpropDWMinus(double val)
//
//javadoc: ANN_MLP::setRpropDWMinus(val)
public void setRpropDWMinus(double val)
{
setRpropDWMinus_0(nativeObj, val);
return;
}
//
// C++: void setRpropDWPlus(double val)
//
//javadoc: ANN_MLP::setRpropDWPlus(val)
public void setRpropDWPlus(double val)
{
setRpropDWPlus_0(nativeObj, val);
return;
}
//
// C++: void setTermCriteria(TermCriteria val)
//
//javadoc: ANN_MLP::setTermCriteria(val)
public void setTermCriteria(TermCriteria val)
{
setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
return;
}
//
// C++: void setTrainMethod(int method, double param1 = 0, double param2 = 0)
//
//javadoc: ANN_MLP::setTrainMethod(method, param1, param2)
public void setTrainMethod(int method, double param1, double param2)
{
setTrainMethod_0(nativeObj, method, param1, param2);
return;
}
//javadoc: ANN_MLP::setTrainMethod(method)
public void setTrainMethod(int method)
{
setTrainMethod_1(nativeObj, method);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getLayerSizes()
private static native long getLayerSizes_0(long nativeObj);
// C++: Mat getWeights(int layerIdx)
private static native long getWeights_0(long nativeObj, int layerIdx);
// C++: static Ptr_ANN_MLP create()
private static native long create_0();
// C++: static Ptr_ANN_MLP load(String filepath)
private static native long load_0(String filepath);
// C++: TermCriteria getTermCriteria()
private static native double[] getTermCriteria_0(long nativeObj);
// C++: double getAnnealCoolingRatio()
private static native double getAnnealCoolingRatio_0(long nativeObj);
// C++: double getAnnealFinalT()
private static native double getAnnealFinalT_0(long nativeObj);
// C++: double getAnnealInitialT()
private static native double getAnnealInitialT_0(long nativeObj);
// C++: double getBackpropMomentumScale()
private static native double getBackpropMomentumScale_0(long nativeObj);
// C++: double getBackpropWeightScale()
private static native double getBackpropWeightScale_0(long nativeObj);
// C++: double getRpropDW0()
private static native double getRpropDW0_0(long nativeObj);
// C++: double getRpropDWMax()
private static native double getRpropDWMax_0(long nativeObj);
// C++: double getRpropDWMin()
private static native double getRpropDWMin_0(long nativeObj);
// C++: double getRpropDWMinus()
private static native double getRpropDWMinus_0(long nativeObj);
// C++: double getRpropDWPlus()
private static native double getRpropDWPlus_0(long nativeObj);
// C++: int getAnnealItePerStep()
private static native int getAnnealItePerStep_0(long nativeObj);
// C++: int getTrainMethod()
private static native int getTrainMethod_0(long nativeObj);
// C++: void setActivationFunction(int type, double param1 = 0, double param2 = 0)
private static native void setActivationFunction_0(long nativeObj, int type, double param1, double param2);
private static native void setActivationFunction_1(long nativeObj, int type);
// C++: void setAnnealCoolingRatio(double val)
private static native void setAnnealCoolingRatio_0(long nativeObj, double val);
// C++: void setAnnealFinalT(double val)
private static native void setAnnealFinalT_0(long nativeObj, double val);
// C++: void setAnnealInitialT(double val)
private static native void setAnnealInitialT_0(long nativeObj, double val);
// C++: void setAnnealItePerStep(int val)
private static native void setAnnealItePerStep_0(long nativeObj, int val);
// C++: void setBackpropMomentumScale(double val)
private static native void setBackpropMomentumScale_0(long nativeObj, double val);
// C++: void setBackpropWeightScale(double val)
private static native void setBackpropWeightScale_0(long nativeObj, double val);
// C++: void setLayerSizes(Mat _layer_sizes)
private static native void setLayerSizes_0(long nativeObj, long _layer_sizes_nativeObj);
// C++: void setRpropDW0(double val)
private static native void setRpropDW0_0(long nativeObj, double val);
// C++: void setRpropDWMax(double val)
private static native void setRpropDWMax_0(long nativeObj, double val);
// C++: void setRpropDWMin(double val)
private static native void setRpropDWMin_0(long nativeObj, double val);
// C++: void setRpropDWMinus(double val)
private static native void setRpropDWMinus_0(long nativeObj, double val);
// C++: void setRpropDWPlus(double val)
private static native void setRpropDWPlus_0(long nativeObj, double val);
// C++: void setTermCriteria(TermCriteria val)
private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon);
// C++: void setTrainMethod(int method, double param1 = 0, double param2 = 0)
private static native void setTrainMethod_0(long nativeObj, int method, double param1, double param2);
private static native void setTrainMethod_1(long nativeObj, int method);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/ANN_MLP_ANNEAL.java
+164
View File
@@ -0,0 +1,164 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import org.opencv.ml.ANN_MLP;
// C++: class ANN_MLP_ANNEAL
//javadoc: ANN_MLP_ANNEAL
public class ANN_MLP_ANNEAL extends ANN_MLP {
protected ANN_MLP_ANNEAL(long addr) { super(addr); }
// internal usage only
public static ANN_MLP_ANNEAL __fromPtr__(long addr) { return new ANN_MLP_ANNEAL(addr); }
//
// C++: double getAnnealCoolingRatio()
//
//javadoc: ANN_MLP_ANNEAL::getAnnealCoolingRatio()
public double getAnnealCoolingRatio()
{
double retVal = getAnnealCoolingRatio_0(nativeObj);
return retVal;
}
//
// C++: double getAnnealFinalT()
//
//javadoc: ANN_MLP_ANNEAL::getAnnealFinalT()
public double getAnnealFinalT()
{
double retVal = getAnnealFinalT_0(nativeObj);
return retVal;
}
//
// C++: double getAnnealInitialT()
//
//javadoc: ANN_MLP_ANNEAL::getAnnealInitialT()
public double getAnnealInitialT()
{
double retVal = getAnnealInitialT_0(nativeObj);
return retVal;
}
//
// C++: int getAnnealItePerStep()
//
//javadoc: ANN_MLP_ANNEAL::getAnnealItePerStep()
public int getAnnealItePerStep()
{
int retVal = getAnnealItePerStep_0(nativeObj);
return retVal;
}
//
// C++: void setAnnealCoolingRatio(double val)
//
//javadoc: ANN_MLP_ANNEAL::setAnnealCoolingRatio(val)
public void setAnnealCoolingRatio(double val)
{
setAnnealCoolingRatio_0(nativeObj, val);
return;
}
//
// C++: void setAnnealFinalT(double val)
//
//javadoc: ANN_MLP_ANNEAL::setAnnealFinalT(val)
public void setAnnealFinalT(double val)
{
setAnnealFinalT_0(nativeObj, val);
return;
}
//
// C++: void setAnnealInitialT(double val)
//
//javadoc: ANN_MLP_ANNEAL::setAnnealInitialT(val)
public void setAnnealInitialT(double val)
{
setAnnealInitialT_0(nativeObj, val);
return;
}
//
// C++: void setAnnealItePerStep(int val)
//
//javadoc: ANN_MLP_ANNEAL::setAnnealItePerStep(val)
public void setAnnealItePerStep(int val)
{
setAnnealItePerStep_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: double getAnnealCoolingRatio()
private static native double getAnnealCoolingRatio_0(long nativeObj);
// C++: double getAnnealFinalT()
private static native double getAnnealFinalT_0(long nativeObj);
// C++: double getAnnealInitialT()
private static native double getAnnealInitialT_0(long nativeObj);
// C++: int getAnnealItePerStep()
private static native int getAnnealItePerStep_0(long nativeObj);
// C++: void setAnnealCoolingRatio(double val)
private static native void setAnnealCoolingRatio_0(long nativeObj, double val);
// C++: void setAnnealFinalT(double val)
private static native void setAnnealFinalT_0(long nativeObj, double val);
// C++: void setAnnealInitialT(double val)
private static native void setAnnealInitialT_0(long nativeObj, double val);
// C++: void setAnnealItePerStep(int val)
private static native void setAnnealItePerStep_0(long nativeObj, int val);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/Boost.java
+183
View File
@@ -0,0 +1,183 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.ml.Boost;
import org.opencv.ml.DTrees;
// C++: class Boost
//javadoc: Boost
public class Boost extends DTrees {
protected Boost(long addr) { super(addr); }
// internal usage only
public static Boost __fromPtr__(long addr) { return new Boost(addr); }
public static final int
DISCRETE = 0,
REAL = 1,
LOGIT = 2,
GENTLE = 3;
//
// C++: static Ptr_Boost create()
//
//javadoc: Boost::create()
public static Boost create()
{
Boost retVal = Boost.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_Boost load(String filepath, String nodeName = String())
//
//javadoc: Boost::load(filepath, nodeName)
public static Boost load(String filepath, String nodeName)
{
Boost retVal = Boost.__fromPtr__(load_0(filepath, nodeName));
return retVal;
}
//javadoc: Boost::load(filepath)
public static Boost load(String filepath)
{
Boost retVal = Boost.__fromPtr__(load_1(filepath));
return retVal;
}
//
// C++: double getWeightTrimRate()
//
//javadoc: Boost::getWeightTrimRate()
public double getWeightTrimRate()
{
double retVal = getWeightTrimRate_0(nativeObj);
return retVal;
}
//
// C++: int getBoostType()
//
//javadoc: Boost::getBoostType()
public int getBoostType()
{
int retVal = getBoostType_0(nativeObj);
return retVal;
}
//
// C++: int getWeakCount()
//
//javadoc: Boost::getWeakCount()
public int getWeakCount()
{
int retVal = getWeakCount_0(nativeObj);
return retVal;
}
//
// C++: void setBoostType(int val)
//
//javadoc: Boost::setBoostType(val)
public void setBoostType(int val)
{
setBoostType_0(nativeObj, val);
return;
}
//
// C++: void setWeakCount(int val)
//
//javadoc: Boost::setWeakCount(val)
public void setWeakCount(int val)
{
setWeakCount_0(nativeObj, val);
return;
}
//
// C++: void setWeightTrimRate(double val)
//
//javadoc: Boost::setWeightTrimRate(val)
public void setWeightTrimRate(double val)
{
setWeightTrimRate_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_Boost create()
private static native long create_0();
// C++: static Ptr_Boost load(String filepath, String nodeName = String())
private static native long load_0(String filepath, String nodeName);
private static native long load_1(String filepath);
// C++: double getWeightTrimRate()
private static native double getWeightTrimRate_0(long nativeObj);
// C++: int getBoostType()
private static native int getBoostType_0(long nativeObj);
// C++: int getWeakCount()
private static native int getWeakCount_0(long nativeObj);
// C++: void setBoostType(int val)
private static native void setBoostType_0(long nativeObj, int val);
// C++: void setWeakCount(int val)
private static native void setWeakCount_0(long nativeObj, int val);
// C++: void setWeightTrimRate(double val)
private static native void setWeightTrimRate_0(long nativeObj, double val);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/DTrees.java
+388
View File
@@ -0,0 +1,388 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.ml.DTrees;
import org.opencv.ml.StatModel;
// C++: class DTrees
//javadoc: DTrees
public class DTrees extends StatModel {
protected DTrees(long addr) { super(addr); }
// internal usage only
public static DTrees __fromPtr__(long addr) { return new DTrees(addr); }
public static final int
PREDICT_AUTO = 0,
PREDICT_SUM = (1<<8),
PREDICT_MAX_VOTE = (2<<8),
PREDICT_MASK = (3<<8);
//
// C++: Mat getPriors()
//
//javadoc: DTrees::getPriors()
public Mat getPriors()
{
Mat retVal = new Mat(getPriors_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_DTrees create()
//
//javadoc: DTrees::create()
public static DTrees create()
{
DTrees retVal = DTrees.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_DTrees load(String filepath, String nodeName = String())
//
//javadoc: DTrees::load(filepath, nodeName)
public static DTrees load(String filepath, String nodeName)
{
DTrees retVal = DTrees.__fromPtr__(load_0(filepath, nodeName));
return retVal;
}
//javadoc: DTrees::load(filepath)
public static DTrees load(String filepath)
{
DTrees retVal = DTrees.__fromPtr__(load_1(filepath));
return retVal;
}
//
// C++: bool getTruncatePrunedTree()
//
//javadoc: DTrees::getTruncatePrunedTree()
public boolean getTruncatePrunedTree()
{
boolean retVal = getTruncatePrunedTree_0(nativeObj);
return retVal;
}
//
// C++: bool getUse1SERule()
//
//javadoc: DTrees::getUse1SERule()
public boolean getUse1SERule()
{
boolean retVal = getUse1SERule_0(nativeObj);
return retVal;
}
//
// C++: bool getUseSurrogates()
//
//javadoc: DTrees::getUseSurrogates()
public boolean getUseSurrogates()
{
boolean retVal = getUseSurrogates_0(nativeObj);
return retVal;
}
//
// C++: float getRegressionAccuracy()
//
//javadoc: DTrees::getRegressionAccuracy()
public float getRegressionAccuracy()
{
float retVal = getRegressionAccuracy_0(nativeObj);
return retVal;
}
//
// C++: int getCVFolds()
//
//javadoc: DTrees::getCVFolds()
public int getCVFolds()
{
int retVal = getCVFolds_0(nativeObj);
return retVal;
}
//
// C++: int getMaxCategories()
//
//javadoc: DTrees::getMaxCategories()
public int getMaxCategories()
{
int retVal = getMaxCategories_0(nativeObj);
return retVal;
}
//
// C++: int getMaxDepth()
//
//javadoc: DTrees::getMaxDepth()
public int getMaxDepth()
{
int retVal = getMaxDepth_0(nativeObj);
return retVal;
}
//
// C++: int getMinSampleCount()
//
//javadoc: DTrees::getMinSampleCount()
public int getMinSampleCount()
{
int retVal = getMinSampleCount_0(nativeObj);
return retVal;
}
//
// C++: void setCVFolds(int val)
//
//javadoc: DTrees::setCVFolds(val)
public void setCVFolds(int val)
{
setCVFolds_0(nativeObj, val);
return;
}
//
// C++: void setMaxCategories(int val)
//
//javadoc: DTrees::setMaxCategories(val)
public void setMaxCategories(int val)
{
setMaxCategories_0(nativeObj, val);
return;
}
//
// C++: void setMaxDepth(int val)
//
//javadoc: DTrees::setMaxDepth(val)
public void setMaxDepth(int val)
{
setMaxDepth_0(nativeObj, val);
return;
}
//
// C++: void setMinSampleCount(int val)
//
//javadoc: DTrees::setMinSampleCount(val)
public void setMinSampleCount(int val)
{
setMinSampleCount_0(nativeObj, val);
return;
}
//
// C++: void setPriors(Mat val)
//
//javadoc: DTrees::setPriors(val)
public void setPriors(Mat val)
{
setPriors_0(nativeObj, val.nativeObj);
return;
}
//
// C++: void setRegressionAccuracy(float val)
//
//javadoc: DTrees::setRegressionAccuracy(val)
public void setRegressionAccuracy(float val)
{
setRegressionAccuracy_0(nativeObj, val);
return;
}
//
// C++: void setTruncatePrunedTree(bool val)
//
//javadoc: DTrees::setTruncatePrunedTree(val)
public void setTruncatePrunedTree(boolean val)
{
setTruncatePrunedTree_0(nativeObj, val);
return;
}
//
// C++: void setUse1SERule(bool val)
//
//javadoc: DTrees::setUse1SERule(val)
public void setUse1SERule(boolean val)
{
setUse1SERule_0(nativeObj, val);
return;
}
//
// C++: void setUseSurrogates(bool val)
//
//javadoc: DTrees::setUseSurrogates(val)
public void setUseSurrogates(boolean val)
{
setUseSurrogates_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getPriors()
private static native long getPriors_0(long nativeObj);
// C++: static Ptr_DTrees create()
private static native long create_0();
// C++: static Ptr_DTrees load(String filepath, String nodeName = String())
private static native long load_0(String filepath, String nodeName);
private static native long load_1(String filepath);
// C++: bool getTruncatePrunedTree()
private static native boolean getTruncatePrunedTree_0(long nativeObj);
// C++: bool getUse1SERule()
private static native boolean getUse1SERule_0(long nativeObj);
// C++: bool getUseSurrogates()
private static native boolean getUseSurrogates_0(long nativeObj);
// C++: float getRegressionAccuracy()
private static native float getRegressionAccuracy_0(long nativeObj);
// C++: int getCVFolds()
private static native int getCVFolds_0(long nativeObj);
// C++: int getMaxCategories()
private static native int getMaxCategories_0(long nativeObj);
// C++: int getMaxDepth()
private static native int getMaxDepth_0(long nativeObj);
// C++: int getMinSampleCount()
private static native int getMinSampleCount_0(long nativeObj);
// C++: void setCVFolds(int val)
private static native void setCVFolds_0(long nativeObj, int val);
// C++: void setMaxCategories(int val)
private static native void setMaxCategories_0(long nativeObj, int val);
// C++: void setMaxDepth(int val)
private static native void setMaxDepth_0(long nativeObj, int val);
// C++: void setMinSampleCount(int val)
private static native void setMinSampleCount_0(long nativeObj, int val);
// C++: void setPriors(Mat val)
private static native void setPriors_0(long nativeObj, long val_nativeObj);
// C++: void setRegressionAccuracy(float val)
private static native void setRegressionAccuracy_0(long nativeObj, float val);
// C++: void setTruncatePrunedTree(bool val)
private static native void setTruncatePrunedTree_0(long nativeObj, boolean val);
// C++: void setUse1SERule(bool val)
private static native void setUse1SERule_0(long nativeObj, boolean val);
// C++: void setUseSurrogates(bool val)
private static native void setUseSurrogates_0(long nativeObj, boolean val);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/EM.java
+370
View File
@@ -0,0 +1,370 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.ml.EM;
import org.opencv.ml.StatModel;
import org.opencv.utils.Converters;
// C++: class EM
//javadoc: EM
public class EM extends StatModel {
protected EM(long addr) { super(addr); }
// internal usage only
public static EM __fromPtr__(long addr) { return new EM(addr); }
public static final int
COV_MAT_SPHERICAL = 0,
COV_MAT_DIAGONAL = 1,
COV_MAT_GENERIC = 2,
COV_MAT_DEFAULT = COV_MAT_DIAGONAL,
DEFAULT_NCLUSTERS = 5,
DEFAULT_MAX_ITERS = 100,
START_E_STEP = 1,
START_M_STEP = 2,
START_AUTO_STEP = 0;
//
// C++: Mat getMeans()
//
//javadoc: EM::getMeans()
public Mat getMeans()
{
Mat retVal = new Mat(getMeans_0(nativeObj));
return retVal;
}
//
// C++: Mat getWeights()
//
//javadoc: EM::getWeights()
public Mat getWeights()
{
Mat retVal = new Mat(getWeights_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_EM create()
//
//javadoc: EM::create()
public static EM create()
{
EM retVal = EM.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_EM load(String filepath, String nodeName = String())
//
//javadoc: EM::load(filepath, nodeName)
public static EM load(String filepath, String nodeName)
{
EM retVal = EM.__fromPtr__(load_0(filepath, nodeName));
return retVal;
}
//javadoc: EM::load(filepath)
public static EM load(String filepath)
{
EM retVal = EM.__fromPtr__(load_1(filepath));
return retVal;
}
//
// C++: TermCriteria getTermCriteria()
//
//javadoc: EM::getTermCriteria()
public TermCriteria getTermCriteria()
{
TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj));
return retVal;
}
//
// C++: Vec2d predict2(Mat sample, Mat& probs)
//
//javadoc: EM::predict2(sample, probs)
public double[] predict2(Mat sample, Mat probs)
{
double[] retVal = predict2_0(nativeObj, sample.nativeObj, probs.nativeObj);
return retVal;
}
//
// C++: bool trainE(Mat samples, Mat means0, Mat covs0 = Mat(), Mat weights0 = Mat(), Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
//
//javadoc: EM::trainE(samples, means0, covs0, weights0, logLikelihoods, labels, probs)
public boolean trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods, Mat labels, Mat probs)
{
boolean retVal = trainE_0(nativeObj, samples.nativeObj, means0.nativeObj, covs0.nativeObj, weights0.nativeObj, logLikelihoods.nativeObj, labels.nativeObj, probs.nativeObj);
return retVal;
}
//javadoc: EM::trainE(samples, means0)
public boolean trainE(Mat samples, Mat means0)
{
boolean retVal = trainE_1(nativeObj, samples.nativeObj, means0.nativeObj);
return retVal;
}
//
// C++: bool trainEM(Mat samples, Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
//
//javadoc: EM::trainEM(samples, logLikelihoods, labels, probs)
public boolean trainEM(Mat samples, Mat logLikelihoods, Mat labels, Mat probs)
{
boolean retVal = trainEM_0(nativeObj, samples.nativeObj, logLikelihoods.nativeObj, labels.nativeObj, probs.nativeObj);
return retVal;
}
//javadoc: EM::trainEM(samples)
public boolean trainEM(Mat samples)
{
boolean retVal = trainEM_1(nativeObj, samples.nativeObj);
return retVal;
}
//
// C++: bool trainM(Mat samples, Mat probs0, Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
//
//javadoc: EM::trainM(samples, probs0, logLikelihoods, labels, probs)
public boolean trainM(Mat samples, Mat probs0, Mat logLikelihoods, Mat labels, Mat probs)
{
boolean retVal = trainM_0(nativeObj, samples.nativeObj, probs0.nativeObj, logLikelihoods.nativeObj, labels.nativeObj, probs.nativeObj);
return retVal;
}
//javadoc: EM::trainM(samples, probs0)
public boolean trainM(Mat samples, Mat probs0)
{
boolean retVal = trainM_1(nativeObj, samples.nativeObj, probs0.nativeObj);
return retVal;
}
//
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
//
//javadoc: EM::predict(samples, results, flags)
public float predict(Mat samples, Mat results, int flags)
{
float retVal = predict_0(nativeObj, samples.nativeObj, results.nativeObj, flags);
return retVal;
}
//javadoc: EM::predict(samples)
public float predict(Mat samples)
{
float retVal = predict_1(nativeObj, samples.nativeObj);
return retVal;
}
//
// C++: int getClustersNumber()
//
//javadoc: EM::getClustersNumber()
public int getClustersNumber()
{
int retVal = getClustersNumber_0(nativeObj);
return retVal;
}
//
// C++: int getCovarianceMatrixType()
//
//javadoc: EM::getCovarianceMatrixType()
public int getCovarianceMatrixType()
{
int retVal = getCovarianceMatrixType_0(nativeObj);
return retVal;
}
//
// C++: void getCovs(vector_Mat& covs)
//
//javadoc: EM::getCovs(covs)
public void getCovs(List<Mat> covs)
{
Mat covs_mat = new Mat();
getCovs_0(nativeObj, covs_mat.nativeObj);
Converters.Mat_to_vector_Mat(covs_mat, covs);
covs_mat.release();
return;
}
//
// C++: void setClustersNumber(int val)
//
//javadoc: EM::setClustersNumber(val)
public void setClustersNumber(int val)
{
setClustersNumber_0(nativeObj, val);
return;
}
//
// C++: void setCovarianceMatrixType(int val)
//
//javadoc: EM::setCovarianceMatrixType(val)
public void setCovarianceMatrixType(int val)
{
setCovarianceMatrixType_0(nativeObj, val);
return;
}
//
// C++: void setTermCriteria(TermCriteria val)
//
//javadoc: EM::setTermCriteria(val)
public void setTermCriteria(TermCriteria val)
{
setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getMeans()
private static native long getMeans_0(long nativeObj);
// C++: Mat getWeights()
private static native long getWeights_0(long nativeObj);
// C++: static Ptr_EM create()
private static native long create_0();
// C++: static Ptr_EM load(String filepath, String nodeName = String())
private static native long load_0(String filepath, String nodeName);
private static native long load_1(String filepath);
// C++: TermCriteria getTermCriteria()
private static native double[] getTermCriteria_0(long nativeObj);
// C++: Vec2d predict2(Mat sample, Mat& probs)
private static native double[] predict2_0(long nativeObj, long sample_nativeObj, long probs_nativeObj);
// C++: bool trainE(Mat samples, Mat means0, Mat covs0 = Mat(), Mat weights0 = Mat(), Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
private static native boolean trainE_0(long nativeObj, long samples_nativeObj, long means0_nativeObj, long covs0_nativeObj, long weights0_nativeObj, long logLikelihoods_nativeObj, long labels_nativeObj, long probs_nativeObj);
private static native boolean trainE_1(long nativeObj, long samples_nativeObj, long means0_nativeObj);
// C++: bool trainEM(Mat samples, Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
private static native boolean trainEM_0(long nativeObj, long samples_nativeObj, long logLikelihoods_nativeObj, long labels_nativeObj, long probs_nativeObj);
private static native boolean trainEM_1(long nativeObj, long samples_nativeObj);
// C++: bool trainM(Mat samples, Mat probs0, Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
private static native boolean trainM_0(long nativeObj, long samples_nativeObj, long probs0_nativeObj, long logLikelihoods_nativeObj, long labels_nativeObj, long probs_nativeObj);
private static native boolean trainM_1(long nativeObj, long samples_nativeObj, long probs0_nativeObj);
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
private static native float predict_0(long nativeObj, long samples_nativeObj, long results_nativeObj, int flags);
private static native float predict_1(long nativeObj, long samples_nativeObj);
// C++: int getClustersNumber()
private static native int getClustersNumber_0(long nativeObj);
// C++: int getCovarianceMatrixType()
private static native int getCovarianceMatrixType_0(long nativeObj);
// C++: void getCovs(vector_Mat& covs)
private static native void getCovs_0(long nativeObj, long covs_mat_nativeObj);
// C++: void setClustersNumber(int val)
private static native void setClustersNumber_0(long nativeObj, int val);
// C++: void setCovarianceMatrixType(int val)
private static native void setCovarianceMatrixType_0(long nativeObj, int val);
// C++: void setTermCriteria(TermCriteria val)
private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/KNearest.java
+215
View File
@@ -0,0 +1,215 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import org.opencv.core.Mat;
import org.opencv.ml.KNearest;
import org.opencv.ml.StatModel;
// C++: class KNearest
//javadoc: KNearest
public class KNearest extends StatModel {
protected KNearest(long addr) { super(addr); }
// internal usage only
public static KNearest __fromPtr__(long addr) { return new KNearest(addr); }
public static final int
BRUTE_FORCE = 1,
KDTREE = 2;
//
// C++: static Ptr_KNearest create()
//
//javadoc: KNearest::create()
public static KNearest create()
{
KNearest retVal = KNearest.__fromPtr__(create_0());
return retVal;
}
//
// C++: bool getIsClassifier()
//
//javadoc: KNearest::getIsClassifier()
public boolean getIsClassifier()
{
boolean retVal = getIsClassifier_0(nativeObj);
return retVal;
}
//
// C++: float findNearest(Mat samples, int k, Mat& results, Mat& neighborResponses = Mat(), Mat& dist = Mat())
//
//javadoc: KNearest::findNearest(samples, k, results, neighborResponses, dist)
public float findNearest(Mat samples, int k, Mat results, Mat neighborResponses, Mat dist)
{
float retVal = findNearest_0(nativeObj, samples.nativeObj, k, results.nativeObj, neighborResponses.nativeObj, dist.nativeObj);
return retVal;
}
//javadoc: KNearest::findNearest(samples, k, results)
public float findNearest(Mat samples, int k, Mat results)
{
float retVal = findNearest_1(nativeObj, samples.nativeObj, k, results.nativeObj);
return retVal;
}
//
// C++: int getAlgorithmType()
//
//javadoc: KNearest::getAlgorithmType()
public int getAlgorithmType()
{
int retVal = getAlgorithmType_0(nativeObj);
return retVal;
}
//
// C++: int getDefaultK()
//
//javadoc: KNearest::getDefaultK()
public int getDefaultK()
{
int retVal = getDefaultK_0(nativeObj);
return retVal;
}
//
// C++: int getEmax()
//
//javadoc: KNearest::getEmax()
public int getEmax()
{
int retVal = getEmax_0(nativeObj);
return retVal;
}
//
// C++: void setAlgorithmType(int val)
//
//javadoc: KNearest::setAlgorithmType(val)
public void setAlgorithmType(int val)
{
setAlgorithmType_0(nativeObj, val);
return;
}
//
// C++: void setDefaultK(int val)
//
//javadoc: KNearest::setDefaultK(val)
public void setDefaultK(int val)
{
setDefaultK_0(nativeObj, val);
return;
}
//
// C++: void setEmax(int val)
//
//javadoc: KNearest::setEmax(val)
public void setEmax(int val)
{
setEmax_0(nativeObj, val);
return;
}
//
// C++: void setIsClassifier(bool val)
//
//javadoc: KNearest::setIsClassifier(val)
public void setIsClassifier(boolean val)
{
setIsClassifier_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_KNearest create()
private static native long create_0();
// C++: bool getIsClassifier()
private static native boolean getIsClassifier_0(long nativeObj);
// C++: float findNearest(Mat samples, int k, Mat& results, Mat& neighborResponses = Mat(), Mat& dist = Mat())
private static native float findNearest_0(long nativeObj, long samples_nativeObj, int k, long results_nativeObj, long neighborResponses_nativeObj, long dist_nativeObj);
private static native float findNearest_1(long nativeObj, long samples_nativeObj, int k, long results_nativeObj);
// C++: int getAlgorithmType()
private static native int getAlgorithmType_0(long nativeObj);
// C++: int getDefaultK()
private static native int getDefaultK_0(long nativeObj);
// C++: int getEmax()
private static native int getEmax_0(long nativeObj);
// C++: void setAlgorithmType(int val)
private static native void setAlgorithmType_0(long nativeObj, int val);
// C++: void setDefaultK(int val)
private static native void setDefaultK_0(long nativeObj, int val);
// C++: void setEmax(int val)
private static native void setEmax_0(long nativeObj, int val);
// C++: void setIsClassifier(bool val)
private static native void setIsClassifier_0(long nativeObj, boolean val);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/LogisticRegression.java
+332
View File
@@ -0,0 +1,332 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.ml.LogisticRegression;
import org.opencv.ml.StatModel;
// C++: class LogisticRegression
//javadoc: LogisticRegression
public class LogisticRegression extends StatModel {
protected LogisticRegression(long addr) { super(addr); }
// internal usage only
public static LogisticRegression __fromPtr__(long addr) { return new LogisticRegression(addr); }
public static final int
REG_DISABLE = -1,
REG_L1 = 0,
REG_L2 = 1,
BATCH = 0,
MINI_BATCH = 1;
//
// C++: Mat get_learnt_thetas()
//
//javadoc: LogisticRegression::get_learnt_thetas()
public Mat get_learnt_thetas()
{
Mat retVal = new Mat(get_learnt_thetas_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_LogisticRegression create()
//
//javadoc: LogisticRegression::create()
public static LogisticRegression create()
{
LogisticRegression retVal = LogisticRegression.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_LogisticRegression load(String filepath, String nodeName = String())
//
//javadoc: LogisticRegression::load(filepath, nodeName)
public static LogisticRegression load(String filepath, String nodeName)
{
LogisticRegression retVal = LogisticRegression.__fromPtr__(load_0(filepath, nodeName));
return retVal;
}
//javadoc: LogisticRegression::load(filepath)
public static LogisticRegression load(String filepath)
{
LogisticRegression retVal = LogisticRegression.__fromPtr__(load_1(filepath));
return retVal;
}
//
// C++: TermCriteria getTermCriteria()
//
//javadoc: LogisticRegression::getTermCriteria()
public TermCriteria getTermCriteria()
{
TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj));
return retVal;
}
//
// C++: double getLearningRate()
//
//javadoc: LogisticRegression::getLearningRate()
public double getLearningRate()
{
double retVal = getLearningRate_0(nativeObj);
return retVal;
}
//
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
//
//javadoc: LogisticRegression::predict(samples, results, flags)
public float predict(Mat samples, Mat results, int flags)
{
float retVal = predict_0(nativeObj, samples.nativeObj, results.nativeObj, flags);
return retVal;
}
//javadoc: LogisticRegression::predict(samples)
public float predict(Mat samples)
{
float retVal = predict_1(nativeObj, samples.nativeObj);
return retVal;
}
//
// C++: int getIterations()
//
//javadoc: LogisticRegression::getIterations()
public int getIterations()
{
int retVal = getIterations_0(nativeObj);
return retVal;
}
//
// C++: int getMiniBatchSize()
//
//javadoc: LogisticRegression::getMiniBatchSize()
public int getMiniBatchSize()
{
int retVal = getMiniBatchSize_0(nativeObj);
return retVal;
}
//
// C++: int getRegularization()
//
//javadoc: LogisticRegression::getRegularization()
public int getRegularization()
{
int retVal = getRegularization_0(nativeObj);
return retVal;
}
//
// C++: int getTrainMethod()
//
//javadoc: LogisticRegression::getTrainMethod()
public int getTrainMethod()
{
int retVal = getTrainMethod_0(nativeObj);
return retVal;
}
//
// C++: void setIterations(int val)
//
//javadoc: LogisticRegression::setIterations(val)
public void setIterations(int val)
{
setIterations_0(nativeObj, val);
return;
}
//
// C++: void setLearningRate(double val)
//
//javadoc: LogisticRegression::setLearningRate(val)
public void setLearningRate(double val)
{
setLearningRate_0(nativeObj, val);
return;
}
//
// C++: void setMiniBatchSize(int val)
//
//javadoc: LogisticRegression::setMiniBatchSize(val)
public void setMiniBatchSize(int val)
{
setMiniBatchSize_0(nativeObj, val);
return;
}
//
// C++: void setRegularization(int val)
//
//javadoc: LogisticRegression::setRegularization(val)
public void setRegularization(int val)
{
setRegularization_0(nativeObj, val);
return;
}
//
// C++: void setTermCriteria(TermCriteria val)
//
//javadoc: LogisticRegression::setTermCriteria(val)
public void setTermCriteria(TermCriteria val)
{
setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
return;
}
//
// C++: void setTrainMethod(int val)
//
//javadoc: LogisticRegression::setTrainMethod(val)
public void setTrainMethod(int val)
{
setTrainMethod_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat get_learnt_thetas()
private static native long get_learnt_thetas_0(long nativeObj);
// C++: static Ptr_LogisticRegression create()
private static native long create_0();
// C++: static Ptr_LogisticRegression load(String filepath, String nodeName = String())
private static native long load_0(String filepath, String nodeName);
private static native long load_1(String filepath);
// C++: TermCriteria getTermCriteria()
private static native double[] getTermCriteria_0(long nativeObj);
// C++: double getLearningRate()
private static native double getLearningRate_0(long nativeObj);
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
private static native float predict_0(long nativeObj, long samples_nativeObj, long results_nativeObj, int flags);
private static native float predict_1(long nativeObj, long samples_nativeObj);
// C++: int getIterations()
private static native int getIterations_0(long nativeObj);
// C++: int getMiniBatchSize()
private static native int getMiniBatchSize_0(long nativeObj);
// C++: int getRegularization()
private static native int getRegularization_0(long nativeObj);
// C++: int getTrainMethod()
private static native int getTrainMethod_0(long nativeObj);
// C++: void setIterations(int val)
private static native void setIterations_0(long nativeObj, int val);
// C++: void setLearningRate(double val)
private static native void setLearningRate_0(long nativeObj, double val);
// C++: void setMiniBatchSize(int val)
private static native void setMiniBatchSize_0(long nativeObj, int val);
// C++: void setRegularization(int val)
private static native void setRegularization_0(long nativeObj, int val);
// C++: void setTermCriteria(TermCriteria val)
private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon);
// C++: void setTrainMethod(int val)
private static native void setTrainMethod_0(long nativeObj, int val);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/Ml.java
+25
View File
@@ -0,0 +1,25 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
// C++: class Ml
//javadoc: Ml
public class Ml {
public static final int
VAR_NUMERICAL = 0,
VAR_ORDERED = 0,
VAR_CATEGORICAL = 1,
TEST_ERROR = 0,
TRAIN_ERROR = 1,
ROW_SAMPLE = 0,
COL_SAMPLE = 1;
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/NormalBayesClassifier.java
+102
View File
@@ -0,0 +1,102 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.ml.NormalBayesClassifier;
import org.opencv.ml.StatModel;
// C++: class NormalBayesClassifier
//javadoc: NormalBayesClassifier
public class NormalBayesClassifier extends StatModel {
protected NormalBayesClassifier(long addr) { super(addr); }
// internal usage only
public static NormalBayesClassifier __fromPtr__(long addr) { return new NormalBayesClassifier(addr); }
//
// C++: static Ptr_NormalBayesClassifier create()
//
//javadoc: NormalBayesClassifier::create()
public static NormalBayesClassifier create()
{
NormalBayesClassifier retVal = NormalBayesClassifier.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_NormalBayesClassifier load(String filepath, String nodeName = String())
//
//javadoc: NormalBayesClassifier::load(filepath, nodeName)
public static NormalBayesClassifier load(String filepath, String nodeName)
{
NormalBayesClassifier retVal = NormalBayesClassifier.__fromPtr__(load_0(filepath, nodeName));
return retVal;
}
//javadoc: NormalBayesClassifier::load(filepath)
public static NormalBayesClassifier load(String filepath)
{
NormalBayesClassifier retVal = NormalBayesClassifier.__fromPtr__(load_1(filepath));
return retVal;
}
//
// C++: float predictProb(Mat inputs, Mat& outputs, Mat& outputProbs, int flags = 0)
//
//javadoc: NormalBayesClassifier::predictProb(inputs, outputs, outputProbs, flags)
public float predictProb(Mat inputs, Mat outputs, Mat outputProbs, int flags)
{
float retVal = predictProb_0(nativeObj, inputs.nativeObj, outputs.nativeObj, outputProbs.nativeObj, flags);
return retVal;
}
//javadoc: NormalBayesClassifier::predictProb(inputs, outputs, outputProbs)
public float predictProb(Mat inputs, Mat outputs, Mat outputProbs)
{
float retVal = predictProb_1(nativeObj, inputs.nativeObj, outputs.nativeObj, outputProbs.nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_NormalBayesClassifier create()
private static native long create_0();
// C++: static Ptr_NormalBayesClassifier load(String filepath, String nodeName = String())
private static native long load_0(String filepath, String nodeName);
private static native long load_1(String filepath);
// C++: float predictProb(Mat inputs, Mat& outputs, Mat& outputProbs, int flags = 0)
private static native float predictProb_0(long nativeObj, long inputs_nativeObj, long outputs_nativeObj, long outputProbs_nativeObj, int flags);
private static native float predictProb_1(long nativeObj, long inputs_nativeObj, long outputs_nativeObj, long outputProbs_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/ParamGrid.java
+160
View File
@@ -0,0 +1,160 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import org.opencv.ml.ParamGrid;
// C++: class ParamGrid
//javadoc: ParamGrid
public class ParamGrid {
protected final long nativeObj;
protected ParamGrid(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static ParamGrid __fromPtr__(long addr) { return new ParamGrid(addr); }
//
// C++: static Ptr_ParamGrid create(double minVal = 0., double maxVal = 0., double logstep = 1.)
//
//javadoc: ParamGrid::create(minVal, maxVal, logstep)
public static ParamGrid create(double minVal, double maxVal, double logstep)
{
ParamGrid retVal = ParamGrid.__fromPtr__(create_0(minVal, maxVal, logstep));
return retVal;
}
//javadoc: ParamGrid::create()
public static ParamGrid create()
{
ParamGrid retVal = ParamGrid.__fromPtr__(create_1());
return retVal;
}
//
// C++: double ParamGrid::minVal
//
//javadoc: ParamGrid::get_minVal()
public double get_minVal()
{
double retVal = get_minVal_0(nativeObj);
return retVal;
}
//
// C++: void ParamGrid::minVal
//
//javadoc: ParamGrid::set_minVal(minVal)
public void set_minVal(double minVal)
{
set_minVal_0(nativeObj, minVal);
return;
}
//
// C++: double ParamGrid::maxVal
//
//javadoc: ParamGrid::get_maxVal()
public double get_maxVal()
{
double retVal = get_maxVal_0(nativeObj);
return retVal;
}
//
// C++: void ParamGrid::maxVal
//
//javadoc: ParamGrid::set_maxVal(maxVal)
public void set_maxVal(double maxVal)
{
set_maxVal_0(nativeObj, maxVal);
return;
}
//
// C++: double ParamGrid::logStep
//
//javadoc: ParamGrid::get_logStep()
public double get_logStep()
{
double retVal = get_logStep_0(nativeObj);
return retVal;
}
//
// C++: void ParamGrid::logStep
//
//javadoc: ParamGrid::set_logStep(logStep)
public void set_logStep(double logStep)
{
set_logStep_0(nativeObj, logStep);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_ParamGrid create(double minVal = 0., double maxVal = 0., double logstep = 1.)
private static native long create_0(double minVal, double maxVal, double logstep);
private static native long create_1();
// C++: double ParamGrid::minVal
private static native double get_minVal_0(long nativeObj);
// C++: void ParamGrid::minVal
private static native void set_minVal_0(long nativeObj, double minVal);
// C++: double ParamGrid::maxVal
private static native double get_maxVal_0(long nativeObj);
// C++: void ParamGrid::maxVal
private static native void set_maxVal_0(long nativeObj, double maxVal);
// C++: double ParamGrid::logStep
private static native double get_logStep_0(long nativeObj);
// C++: void ParamGrid::logStep
private static native void set_logStep_0(long nativeObj, double logStep);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/RTrees.java
+212
View File
@@ -0,0 +1,212 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.ml.DTrees;
import org.opencv.ml.RTrees;
// C++: class RTrees
//javadoc: RTrees
public class RTrees extends DTrees {
protected RTrees(long addr) { super(addr); }
// internal usage only
public static RTrees __fromPtr__(long addr) { return new RTrees(addr); }
//
// C++: Mat getVarImportance()
//
//javadoc: RTrees::getVarImportance()
public Mat getVarImportance()
{
Mat retVal = new Mat(getVarImportance_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_RTrees create()
//
//javadoc: RTrees::create()
public static RTrees create()
{
RTrees retVal = RTrees.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_RTrees load(String filepath, String nodeName = String())
//
//javadoc: RTrees::load(filepath, nodeName)
public static RTrees load(String filepath, String nodeName)
{
RTrees retVal = RTrees.__fromPtr__(load_0(filepath, nodeName));
return retVal;
}
//javadoc: RTrees::load(filepath)
public static RTrees load(String filepath)
{
RTrees retVal = RTrees.__fromPtr__(load_1(filepath));
return retVal;
}
//
// C++: TermCriteria getTermCriteria()
//
//javadoc: RTrees::getTermCriteria()
public TermCriteria getTermCriteria()
{
TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj));
return retVal;
}
//
// C++: bool getCalculateVarImportance()
//
//javadoc: RTrees::getCalculateVarImportance()
public boolean getCalculateVarImportance()
{
boolean retVal = getCalculateVarImportance_0(nativeObj);
return retVal;
}
//
// C++: int getActiveVarCount()
//
//javadoc: RTrees::getActiveVarCount()
public int getActiveVarCount()
{
int retVal = getActiveVarCount_0(nativeObj);
return retVal;
}
//
// C++: void getVotes(Mat samples, Mat& results, int flags)
//
//javadoc: RTrees::getVotes(samples, results, flags)
public void getVotes(Mat samples, Mat results, int flags)
{
getVotes_0(nativeObj, samples.nativeObj, results.nativeObj, flags);
return;
}
//
// C++: void setActiveVarCount(int val)
//
//javadoc: RTrees::setActiveVarCount(val)
public void setActiveVarCount(int val)
{
setActiveVarCount_0(nativeObj, val);
return;
}
//
// C++: void setCalculateVarImportance(bool val)
//
//javadoc: RTrees::setCalculateVarImportance(val)
public void setCalculateVarImportance(boolean val)
{
setCalculateVarImportance_0(nativeObj, val);
return;
}
//
// C++: void setTermCriteria(TermCriteria val)
//
//javadoc: RTrees::setTermCriteria(val)
public void setTermCriteria(TermCriteria val)
{
setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getVarImportance()
private static native long getVarImportance_0(long nativeObj);
// C++: static Ptr_RTrees create()
private static native long create_0();
// C++: static Ptr_RTrees load(String filepath, String nodeName = String())
private static native long load_0(String filepath, String nodeName);
private static native long load_1(String filepath);
// C++: TermCriteria getTermCriteria()
private static native double[] getTermCriteria_0(long nativeObj);
// C++: bool getCalculateVarImportance()
private static native boolean getCalculateVarImportance_0(long nativeObj);
// C++: int getActiveVarCount()
private static native int getActiveVarCount_0(long nativeObj);
// C++: void getVotes(Mat samples, Mat& results, int flags)
private static native void getVotes_0(long nativeObj, long samples_nativeObj, long results_nativeObj, int flags);
// C++: void setActiveVarCount(int val)
private static native void setActiveVarCount_0(long nativeObj, int val);
// C++: void setCalculateVarImportance(bool val)
private static native void setCalculateVarImportance_0(long nativeObj, boolean val);
// C++: void setTermCriteria(TermCriteria val)
private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/SVM.java
+523
View File
@@ -0,0 +1,523 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.ml.ParamGrid;
import org.opencv.ml.SVM;
import org.opencv.ml.StatModel;
// C++: class SVM
//javadoc: SVM
public class SVM extends StatModel {
protected SVM(long addr) { super(addr); }
// internal usage only
public static SVM __fromPtr__(long addr) { return new SVM(addr); }
public static final int
C_SVC = 100,
NU_SVC = 101,
ONE_CLASS = 102,
EPS_SVR = 103,
NU_SVR = 104,
CUSTOM = -1,
LINEAR = 0,
POLY = 1,
RBF = 2,
SIGMOID = 3,
CHI2 = 4,
INTER = 5,
C = 0,
GAMMA = 1,
P = 2,
NU = 3,
COEF = 4,
DEGREE = 5;
//
// C++: Mat getClassWeights()
//
//javadoc: SVM::getClassWeights()
public Mat getClassWeights()
{
Mat retVal = new Mat(getClassWeights_0(nativeObj));
return retVal;
}
//
// C++: Mat getSupportVectors()
//
//javadoc: SVM::getSupportVectors()
public Mat getSupportVectors()
{
Mat retVal = new Mat(getSupportVectors_0(nativeObj));
return retVal;
}
//
// C++: Mat getUncompressedSupportVectors()
//
//javadoc: SVM::getUncompressedSupportVectors()
public Mat getUncompressedSupportVectors()
{
Mat retVal = new Mat(getUncompressedSupportVectors_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_ParamGrid getDefaultGridPtr(int param_id)
//
//javadoc: SVM::getDefaultGridPtr(param_id)
public static ParamGrid getDefaultGridPtr(int param_id)
{
ParamGrid retVal = ParamGrid.__fromPtr__(getDefaultGridPtr_0(param_id));
return retVal;
}
//
// C++: static Ptr_SVM create()
//
//javadoc: SVM::create()
public static SVM create()
{
SVM retVal = SVM.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_SVM load(String filepath)
//
//javadoc: SVM::load(filepath)
public static SVM load(String filepath)
{
SVM retVal = SVM.__fromPtr__(load_0(filepath));
return retVal;
}
//
// C++: TermCriteria getTermCriteria()
//
//javadoc: SVM::getTermCriteria()
public TermCriteria getTermCriteria()
{
TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj));
return retVal;
}
//
// C++: bool trainAuto(Mat samples, int layout, Mat responses, int kFold = 10, Ptr_ParamGrid Cgrid = SVM::getDefaultGridPtr(SVM::C), Ptr_ParamGrid gammaGrid = SVM::getDefaultGridPtr(SVM::GAMMA), Ptr_ParamGrid pGrid = SVM::getDefaultGridPtr(SVM::P), Ptr_ParamGrid nuGrid = SVM::getDefaultGridPtr(SVM::NU), Ptr_ParamGrid coeffGrid = SVM::getDefaultGridPtr(SVM::COEF), Ptr_ParamGrid degreeGrid = SVM::getDefaultGridPtr(SVM::DEGREE), bool balanced = false)
//
//javadoc: SVM::trainAuto(samples, layout, responses, kFold, Cgrid, gammaGrid, pGrid, nuGrid, coeffGrid, degreeGrid, balanced)
public boolean trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid, ParamGrid degreeGrid, boolean balanced)
{
boolean retVal = trainAuto_0(nativeObj, samples.nativeObj, layout, responses.nativeObj, kFold, Cgrid.getNativeObjAddr(), gammaGrid.getNativeObjAddr(), pGrid.getNativeObjAddr(), nuGrid.getNativeObjAddr(), coeffGrid.getNativeObjAddr(), degreeGrid.getNativeObjAddr(), balanced);
return retVal;
}
//javadoc: SVM::trainAuto(samples, layout, responses)
public boolean trainAuto(Mat samples, int layout, Mat responses)
{
boolean retVal = trainAuto_1(nativeObj, samples.nativeObj, layout, responses.nativeObj);
return retVal;
}
//
// C++: double getC()
//
//javadoc: SVM::getC()
public double getC()
{
double retVal = getC_0(nativeObj);
return retVal;
}
//
// C++: double getCoef0()
//
//javadoc: SVM::getCoef0()
public double getCoef0()
{
double retVal = getCoef0_0(nativeObj);
return retVal;
}
//
// C++: double getDecisionFunction(int i, Mat& alpha, Mat& svidx)
//
//javadoc: SVM::getDecisionFunction(i, alpha, svidx)
public double getDecisionFunction(int i, Mat alpha, Mat svidx)
{
double retVal = getDecisionFunction_0(nativeObj, i, alpha.nativeObj, svidx.nativeObj);
return retVal;
}
//
// C++: double getDegree()
//
//javadoc: SVM::getDegree()
public double getDegree()
{
double retVal = getDegree_0(nativeObj);
return retVal;
}
//
// C++: double getGamma()
//
//javadoc: SVM::getGamma()
public double getGamma()
{
double retVal = getGamma_0(nativeObj);
return retVal;
}
//
// C++: double getNu()
//
//javadoc: SVM::getNu()
public double getNu()
{
double retVal = getNu_0(nativeObj);
return retVal;
}
//
// C++: double getP()
//
//javadoc: SVM::getP()
public double getP()
{
double retVal = getP_0(nativeObj);
return retVal;
}
//
// C++: int getKernelType()
//
//javadoc: SVM::getKernelType()
public int getKernelType()
{
int retVal = getKernelType_0(nativeObj);
return retVal;
}
//
// C++: int getType()
//
//javadoc: SVM::getType()
public int getType()
{
int retVal = getType_0(nativeObj);
return retVal;
}
//
// C++: void setC(double val)
//
//javadoc: SVM::setC(val)
public void setC(double val)
{
setC_0(nativeObj, val);
return;
}
//
// C++: void setClassWeights(Mat val)
//
//javadoc: SVM::setClassWeights(val)
public void setClassWeights(Mat val)
{
setClassWeights_0(nativeObj, val.nativeObj);
return;
}
//
// C++: void setCoef0(double val)
//
//javadoc: SVM::setCoef0(val)
public void setCoef0(double val)
{
setCoef0_0(nativeObj, val);
return;
}
//
// C++: void setDegree(double val)
//
//javadoc: SVM::setDegree(val)
public void setDegree(double val)
{
setDegree_0(nativeObj, val);
return;
}
//
// C++: void setGamma(double val)
//
//javadoc: SVM::setGamma(val)
public void setGamma(double val)
{
setGamma_0(nativeObj, val);
return;
}
//
// C++: void setKernel(int kernelType)
//
//javadoc: SVM::setKernel(kernelType)
public void setKernel(int kernelType)
{
setKernel_0(nativeObj, kernelType);
return;
}
//
// C++: void setNu(double val)
//
//javadoc: SVM::setNu(val)
public void setNu(double val)
{
setNu_0(nativeObj, val);
return;
}
//
// C++: void setP(double val)
//
//javadoc: SVM::setP(val)
public void setP(double val)
{
setP_0(nativeObj, val);
return;
}
//
// C++: void setTermCriteria(TermCriteria val)
//
//javadoc: SVM::setTermCriteria(val)
public void setTermCriteria(TermCriteria val)
{
setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
return;
}
//
// C++: void setType(int val)
//
//javadoc: SVM::setType(val)
public void setType(int val)
{
setType_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getClassWeights()
private static native long getClassWeights_0(long nativeObj);
// C++: Mat getSupportVectors()
private static native long getSupportVectors_0(long nativeObj);
// C++: Mat getUncompressedSupportVectors()
private static native long getUncompressedSupportVectors_0(long nativeObj);
// C++: static Ptr_ParamGrid getDefaultGridPtr(int param_id)
private static native long getDefaultGridPtr_0(int param_id);
// C++: static Ptr_SVM create()
private static native long create_0();
// C++: static Ptr_SVM load(String filepath)
private static native long load_0(String filepath);
// C++: TermCriteria getTermCriteria()
private static native double[] getTermCriteria_0(long nativeObj);
// C++: bool trainAuto(Mat samples, int layout, Mat responses, int kFold = 10, Ptr_ParamGrid Cgrid = SVM::getDefaultGridPtr(SVM::C), Ptr_ParamGrid gammaGrid = SVM::getDefaultGridPtr(SVM::GAMMA), Ptr_ParamGrid pGrid = SVM::getDefaultGridPtr(SVM::P), Ptr_ParamGrid nuGrid = SVM::getDefaultGridPtr(SVM::NU), Ptr_ParamGrid coeffGrid = SVM::getDefaultGridPtr(SVM::COEF), Ptr_ParamGrid degreeGrid = SVM::getDefaultGridPtr(SVM::DEGREE), bool balanced = false)
private static native boolean trainAuto_0(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj, int kFold, long Cgrid_nativeObj, long gammaGrid_nativeObj, long pGrid_nativeObj, long nuGrid_nativeObj, long coeffGrid_nativeObj, long degreeGrid_nativeObj, boolean balanced);
private static native boolean trainAuto_1(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj);
// C++: double getC()
private static native double getC_0(long nativeObj);
// C++: double getCoef0()
private static native double getCoef0_0(long nativeObj);
// C++: double getDecisionFunction(int i, Mat& alpha, Mat& svidx)
private static native double getDecisionFunction_0(long nativeObj, int i, long alpha_nativeObj, long svidx_nativeObj);
// C++: double getDegree()
private static native double getDegree_0(long nativeObj);
// C++: double getGamma()
private static native double getGamma_0(long nativeObj);
// C++: double getNu()
private static native double getNu_0(long nativeObj);
// C++: double getP()
private static native double getP_0(long nativeObj);
// C++: int getKernelType()
private static native int getKernelType_0(long nativeObj);
// C++: int getType()
private static native int getType_0(long nativeObj);
// C++: void setC(double val)
private static native void setC_0(long nativeObj, double val);
// C++: void setClassWeights(Mat val)
private static native void setClassWeights_0(long nativeObj, long val_nativeObj);
// C++: void setCoef0(double val)
private static native void setCoef0_0(long nativeObj, double val);
// C++: void setDegree(double val)
private static native void setDegree_0(long nativeObj, double val);
// C++: void setGamma(double val)
private static native void setGamma_0(long nativeObj, double val);
// C++: void setKernel(int kernelType)
private static native void setKernel_0(long nativeObj, int kernelType);
// C++: void setNu(double val)
private static native void setNu_0(long nativeObj, double val);
// C++: void setP(double val)
private static native void setP_0(long nativeObj, double val);
// C++: void setTermCriteria(TermCriteria val)
private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon);
// C++: void setType(int val)
private static native void setType_0(long nativeObj, int val);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/SVMSGD.java
+348
View File
@@ -0,0 +1,348 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.ml.SVMSGD;
import org.opencv.ml.StatModel;
// C++: class SVMSGD
//javadoc: SVMSGD
public class SVMSGD extends StatModel {
protected SVMSGD(long addr) { super(addr); }
// internal usage only
public static SVMSGD __fromPtr__(long addr) { return new SVMSGD(addr); }
public static final int
SGD = 0,
ASGD = 1,
SOFT_MARGIN = 0,
HARD_MARGIN = 1;
//
// C++: Mat getWeights()
//
//javadoc: SVMSGD::getWeights()
public Mat getWeights()
{
Mat retVal = new Mat(getWeights_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_SVMSGD create()
//
//javadoc: SVMSGD::create()
public static SVMSGD create()
{
SVMSGD retVal = SVMSGD.__fromPtr__(create_0());
return retVal;
}
//
// C++: static Ptr_SVMSGD load(String filepath, String nodeName = String())
//
//javadoc: SVMSGD::load(filepath, nodeName)
public static SVMSGD load(String filepath, String nodeName)
{
SVMSGD retVal = SVMSGD.__fromPtr__(load_0(filepath, nodeName));
return retVal;
}
//javadoc: SVMSGD::load(filepath)
public static SVMSGD load(String filepath)
{
SVMSGD retVal = SVMSGD.__fromPtr__(load_1(filepath));
return retVal;
}
//
// C++: TermCriteria getTermCriteria()
//
//javadoc: SVMSGD::getTermCriteria()
public TermCriteria getTermCriteria()
{
TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj));
return retVal;
}
//
// C++: float getInitialStepSize()
//
//javadoc: SVMSGD::getInitialStepSize()
public float getInitialStepSize()
{
float retVal = getInitialStepSize_0(nativeObj);
return retVal;
}
//
// C++: float getMarginRegularization()
//
//javadoc: SVMSGD::getMarginRegularization()
public float getMarginRegularization()
{
float retVal = getMarginRegularization_0(nativeObj);
return retVal;
}
//
// C++: float getShift()
//
//javadoc: SVMSGD::getShift()
public float getShift()
{
float retVal = getShift_0(nativeObj);
return retVal;
}
//
// C++: float getStepDecreasingPower()
//
//javadoc: SVMSGD::getStepDecreasingPower()
public float getStepDecreasingPower()
{
float retVal = getStepDecreasingPower_0(nativeObj);
return retVal;
}
//
// C++: int getMarginType()
//
//javadoc: SVMSGD::getMarginType()
public int getMarginType()
{
int retVal = getMarginType_0(nativeObj);
return retVal;
}
//
// C++: int getSvmsgdType()
//
//javadoc: SVMSGD::getSvmsgdType()
public int getSvmsgdType()
{
int retVal = getSvmsgdType_0(nativeObj);
return retVal;
}
//
// C++: void setInitialStepSize(float InitialStepSize)
//
//javadoc: SVMSGD::setInitialStepSize(InitialStepSize)
public void setInitialStepSize(float InitialStepSize)
{
setInitialStepSize_0(nativeObj, InitialStepSize);
return;
}
//
// C++: void setMarginRegularization(float marginRegularization)
//
//javadoc: SVMSGD::setMarginRegularization(marginRegularization)
public void setMarginRegularization(float marginRegularization)
{
setMarginRegularization_0(nativeObj, marginRegularization);
return;
}
//
// C++: void setMarginType(int marginType)
//
//javadoc: SVMSGD::setMarginType(marginType)
public void setMarginType(int marginType)
{
setMarginType_0(nativeObj, marginType);
return;
}
//
// C++: void setOptimalParameters(int svmsgdType = SVMSGD::ASGD, int marginType = SVMSGD::SOFT_MARGIN)
//
//javadoc: SVMSGD::setOptimalParameters(svmsgdType, marginType)
public void setOptimalParameters(int svmsgdType, int marginType)
{
setOptimalParameters_0(nativeObj, svmsgdType, marginType);
return;
}
//javadoc: SVMSGD::setOptimalParameters()
public void setOptimalParameters()
{
setOptimalParameters_1(nativeObj);
return;
}
//
// C++: void setStepDecreasingPower(float stepDecreasingPower)
//
//javadoc: SVMSGD::setStepDecreasingPower(stepDecreasingPower)
public void setStepDecreasingPower(float stepDecreasingPower)
{
setStepDecreasingPower_0(nativeObj, stepDecreasingPower);
return;
}
//
// C++: void setSvmsgdType(int svmsgdType)
//
//javadoc: SVMSGD::setSvmsgdType(svmsgdType)
public void setSvmsgdType(int svmsgdType)
{
setSvmsgdType_0(nativeObj, svmsgdType);
return;
}
//
// C++: void setTermCriteria(TermCriteria val)
//
//javadoc: SVMSGD::setTermCriteria(val)
public void setTermCriteria(TermCriteria val)
{
setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getWeights()
private static native long getWeights_0(long nativeObj);
// C++: static Ptr_SVMSGD create()
private static native long create_0();
// C++: static Ptr_SVMSGD load(String filepath, String nodeName = String())
private static native long load_0(String filepath, String nodeName);
private static native long load_1(String filepath);
// C++: TermCriteria getTermCriteria()
private static native double[] getTermCriteria_0(long nativeObj);
// C++: float getInitialStepSize()
private static native float getInitialStepSize_0(long nativeObj);
// C++: float getMarginRegularization()
private static native float getMarginRegularization_0(long nativeObj);
// C++: float getShift()
private static native float getShift_0(long nativeObj);
// C++: float getStepDecreasingPower()
private static native float getStepDecreasingPower_0(long nativeObj);
// C++: int getMarginType()
private static native int getMarginType_0(long nativeObj);
// C++: int getSvmsgdType()
private static native int getSvmsgdType_0(long nativeObj);
// C++: void setInitialStepSize(float InitialStepSize)
private static native void setInitialStepSize_0(long nativeObj, float InitialStepSize);
// C++: void setMarginRegularization(float marginRegularization)
private static native void setMarginRegularization_0(long nativeObj, float marginRegularization);
// C++: void setMarginType(int marginType)
private static native void setMarginType_0(long nativeObj, int marginType);
// C++: void setOptimalParameters(int svmsgdType = SVMSGD::ASGD, int marginType = SVMSGD::SOFT_MARGIN)
private static native void setOptimalParameters_0(long nativeObj, int svmsgdType, int marginType);
private static native void setOptimalParameters_1(long nativeObj);
// C++: void setStepDecreasingPower(float stepDecreasingPower)
private static native void setStepDecreasingPower_0(long nativeObj, float stepDecreasingPower);
// C++: void setSvmsgdType(int svmsgdType)
private static native void setSvmsgdType_0(long nativeObj, int svmsgdType);
// C++: void setTermCriteria(TermCriteria val)
private static native void setTermCriteria_0(long nativeObj, int val_type, int val_maxCount, double val_epsilon);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/StatModel.java
+193
View File
@@ -0,0 +1,193 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.ml.TrainData;
// C++: class StatModel
//javadoc: StatModel
public class StatModel extends Algorithm {
protected StatModel(long addr) { super(addr); }
// internal usage only
public static StatModel __fromPtr__(long addr) { return new StatModel(addr); }
public static final int
UPDATE_MODEL = 1,
RAW_OUTPUT = 1,
COMPRESSED_INPUT = 2,
PREPROCESSED_INPUT = 4;
//
// C++: bool empty()
//
//javadoc: StatModel::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: bool isClassifier()
//
//javadoc: StatModel::isClassifier()
public boolean isClassifier()
{
boolean retVal = isClassifier_0(nativeObj);
return retVal;
}
//
// C++: bool isTrained()
//
//javadoc: StatModel::isTrained()
public boolean isTrained()
{
boolean retVal = isTrained_0(nativeObj);
return retVal;
}
//
// C++: bool train(Mat samples, int layout, Mat responses)
//
//javadoc: StatModel::train(samples, layout, responses)
public boolean train(Mat samples, int layout, Mat responses)
{
boolean retVal = train_0(nativeObj, samples.nativeObj, layout, responses.nativeObj);
return retVal;
}
//
// C++: bool train(Ptr_TrainData trainData, int flags = 0)
//
//javadoc: StatModel::train(trainData, flags)
public boolean train(TrainData trainData, int flags)
{
boolean retVal = train_1(nativeObj, trainData.getNativeObjAddr(), flags);
return retVal;
}
//javadoc: StatModel::train(trainData)
public boolean train(TrainData trainData)
{
boolean retVal = train_2(nativeObj, trainData.getNativeObjAddr());
return retVal;
}
//
// C++: float calcError(Ptr_TrainData data, bool test, Mat& resp)
//
//javadoc: StatModel::calcError(data, test, resp)
public float calcError(TrainData data, boolean test, Mat resp)
{
float retVal = calcError_0(nativeObj, data.getNativeObjAddr(), test, resp.nativeObj);
return retVal;
}
//
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
//
//javadoc: StatModel::predict(samples, results, flags)
public float predict(Mat samples, Mat results, int flags)
{
float retVal = predict_0(nativeObj, samples.nativeObj, results.nativeObj, flags);
return retVal;
}
//javadoc: StatModel::predict(samples)
public float predict(Mat samples)
{
float retVal = predict_1(nativeObj, samples.nativeObj);
return retVal;
}
//
// C++: int getVarCount()
//
//javadoc: StatModel::getVarCount()
public int getVarCount()
{
int retVal = getVarCount_0(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: bool isClassifier()
private static native boolean isClassifier_0(long nativeObj);
// C++: bool isTrained()
private static native boolean isTrained_0(long nativeObj);
// C++: bool train(Mat samples, int layout, Mat responses)
private static native boolean train_0(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj);
// C++: bool train(Ptr_TrainData trainData, int flags = 0)
private static native boolean train_1(long nativeObj, long trainData_nativeObj, int flags);
private static native boolean train_2(long nativeObj, long trainData_nativeObj);
// C++: float calcError(Ptr_TrainData data, bool test, Mat& resp)
private static native float calcError_0(long nativeObj, long data_nativeObj, boolean test, long resp_nativeObj);
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
private static native float predict_0(long nativeObj, long samples_nativeObj, long results_nativeObj, int flags);
private static native float predict_1(long nativeObj, long samples_nativeObj);
// C++: int getVarCount()
private static native int getVarCount_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/ml/TrainData.java
+722
View File
@@ -0,0 +1,722 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.ml.TrainData;
import org.opencv.utils.Converters;
// C++: class TrainData
//javadoc: TrainData
public class TrainData {
protected final long nativeObj;
protected TrainData(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static TrainData __fromPtr__(long addr) { return new TrainData(addr); }
//
// C++: Mat getCatMap()
//
//javadoc: TrainData::getCatMap()
public Mat getCatMap()
{
Mat retVal = new Mat(getCatMap_0(nativeObj));
return retVal;
}
//
// C++: Mat getCatOfs()
//
//javadoc: TrainData::getCatOfs()
public Mat getCatOfs()
{
Mat retVal = new Mat(getCatOfs_0(nativeObj));
return retVal;
}
//
// C++: Mat getClassLabels()
//
//javadoc: TrainData::getClassLabels()
public Mat getClassLabels()
{
Mat retVal = new Mat(getClassLabels_0(nativeObj));
return retVal;
}
//
// C++: Mat getDefaultSubstValues()
//
//javadoc: TrainData::getDefaultSubstValues()
public Mat getDefaultSubstValues()
{
Mat retVal = new Mat(getDefaultSubstValues_0(nativeObj));
return retVal;
}
//
// C++: Mat getMissing()
//
//javadoc: TrainData::getMissing()
public Mat getMissing()
{
Mat retVal = new Mat(getMissing_0(nativeObj));
return retVal;
}
//
// C++: Mat getNormCatResponses()
//
//javadoc: TrainData::getNormCatResponses()
public Mat getNormCatResponses()
{
Mat retVal = new Mat(getNormCatResponses_0(nativeObj));
return retVal;
}
//
// C++: Mat getResponses()
//
//javadoc: TrainData::getResponses()
public Mat getResponses()
{
Mat retVal = new Mat(getResponses_0(nativeObj));
return retVal;
}
//
// C++: Mat getSampleWeights()
//
//javadoc: TrainData::getSampleWeights()
public Mat getSampleWeights()
{
Mat retVal = new Mat(getSampleWeights_0(nativeObj));
return retVal;
}
//
// C++: Mat getSamples()
//
//javadoc: TrainData::getSamples()
public Mat getSamples()
{
Mat retVal = new Mat(getSamples_0(nativeObj));
return retVal;
}
//
// C++: static Mat getSubVector(Mat vec, Mat idx)
//
//javadoc: TrainData::getSubVector(vec, idx)
public static Mat getSubVector(Mat vec, Mat idx)
{
Mat retVal = new Mat(getSubVector_0(vec.nativeObj, idx.nativeObj));
return retVal;
}
//
// C++: Mat getTestNormCatResponses()
//
//javadoc: TrainData::getTestNormCatResponses()
public Mat getTestNormCatResponses()
{
Mat retVal = new Mat(getTestNormCatResponses_0(nativeObj));
return retVal;
}
//
// C++: Mat getTestResponses()
//
//javadoc: TrainData::getTestResponses()
public Mat getTestResponses()
{
Mat retVal = new Mat(getTestResponses_0(nativeObj));
return retVal;
}
//
// C++: Mat getTestSampleIdx()
//
//javadoc: TrainData::getTestSampleIdx()
public Mat getTestSampleIdx()
{
Mat retVal = new Mat(getTestSampleIdx_0(nativeObj));
return retVal;
}
//
// C++: Mat getTestSampleWeights()
//
//javadoc: TrainData::getTestSampleWeights()
public Mat getTestSampleWeights()
{
Mat retVal = new Mat(getTestSampleWeights_0(nativeObj));
return retVal;
}
//
// C++: Mat getTestSamples()
//
//javadoc: TrainData::getTestSamples()
public Mat getTestSamples()
{
Mat retVal = new Mat(getTestSamples_0(nativeObj));
return retVal;
}
//
// C++: Mat getTrainNormCatResponses()
//
//javadoc: TrainData::getTrainNormCatResponses()
public Mat getTrainNormCatResponses()
{
Mat retVal = new Mat(getTrainNormCatResponses_0(nativeObj));
return retVal;
}
//
// C++: Mat getTrainResponses()
//
//javadoc: TrainData::getTrainResponses()
public Mat getTrainResponses()
{
Mat retVal = new Mat(getTrainResponses_0(nativeObj));
return retVal;
}
//
// C++: Mat getTrainSampleIdx()
//
//javadoc: TrainData::getTrainSampleIdx()
public Mat getTrainSampleIdx()
{
Mat retVal = new Mat(getTrainSampleIdx_0(nativeObj));
return retVal;
}
//
// C++: Mat getTrainSampleWeights()
//
//javadoc: TrainData::getTrainSampleWeights()
public Mat getTrainSampleWeights()
{
Mat retVal = new Mat(getTrainSampleWeights_0(nativeObj));
return retVal;
}
//
// C++: Mat getTrainSamples(int layout = ROW_SAMPLE, bool compressSamples = true, bool compressVars = true)
//
//javadoc: TrainData::getTrainSamples(layout, compressSamples, compressVars)
public Mat getTrainSamples(int layout, boolean compressSamples, boolean compressVars)
{
Mat retVal = new Mat(getTrainSamples_0(nativeObj, layout, compressSamples, compressVars));
return retVal;
}
//javadoc: TrainData::getTrainSamples()
public Mat getTrainSamples()
{
Mat retVal = new Mat(getTrainSamples_1(nativeObj));
return retVal;
}
//
// C++: Mat getVarIdx()
//
//javadoc: TrainData::getVarIdx()
public Mat getVarIdx()
{
Mat retVal = new Mat(getVarIdx_0(nativeObj));
return retVal;
}
//
// C++: Mat getVarSymbolFlags()
//
//javadoc: TrainData::getVarSymbolFlags()
public Mat getVarSymbolFlags()
{
Mat retVal = new Mat(getVarSymbolFlags_0(nativeObj));
return retVal;
}
//
// C++: Mat getVarType()
//
//javadoc: TrainData::getVarType()
public Mat getVarType()
{
Mat retVal = new Mat(getVarType_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_TrainData create(Mat samples, int layout, Mat responses, Mat varIdx = Mat(), Mat sampleIdx = Mat(), Mat sampleWeights = Mat(), Mat varType = Mat())
//
//javadoc: TrainData::create(samples, layout, responses, varIdx, sampleIdx, sampleWeights, varType)
public static TrainData create(Mat samples, int layout, Mat responses, Mat varIdx, Mat sampleIdx, Mat sampleWeights, Mat varType)
{
TrainData retVal = TrainData.__fromPtr__(create_0(samples.nativeObj, layout, responses.nativeObj, varIdx.nativeObj, sampleIdx.nativeObj, sampleWeights.nativeObj, varType.nativeObj));
return retVal;
}
//javadoc: TrainData::create(samples, layout, responses)
public static TrainData create(Mat samples, int layout, Mat responses)
{
TrainData retVal = TrainData.__fromPtr__(create_1(samples.nativeObj, layout, responses.nativeObj));
return retVal;
}
//
// C++: int getCatCount(int vi)
//
//javadoc: TrainData::getCatCount(vi)
public int getCatCount(int vi)
{
int retVal = getCatCount_0(nativeObj, vi);
return retVal;
}
//
// C++: int getLayout()
//
//javadoc: TrainData::getLayout()
public int getLayout()
{
int retVal = getLayout_0(nativeObj);
return retVal;
}
//
// C++: int getNAllVars()
//
//javadoc: TrainData::getNAllVars()
public int getNAllVars()
{
int retVal = getNAllVars_0(nativeObj);
return retVal;
}
//
// C++: int getNSamples()
//
//javadoc: TrainData::getNSamples()
public int getNSamples()
{
int retVal = getNSamples_0(nativeObj);
return retVal;
}
//
// C++: int getNTestSamples()
//
//javadoc: TrainData::getNTestSamples()
public int getNTestSamples()
{
int retVal = getNTestSamples_0(nativeObj);
return retVal;
}
//
// C++: int getNTrainSamples()
//
//javadoc: TrainData::getNTrainSamples()
public int getNTrainSamples()
{
int retVal = getNTrainSamples_0(nativeObj);
return retVal;
}
//
// C++: int getNVars()
//
//javadoc: TrainData::getNVars()
public int getNVars()
{
int retVal = getNVars_0(nativeObj);
return retVal;
}
//
// C++: int getResponseType()
//
//javadoc: TrainData::getResponseType()
public int getResponseType()
{
int retVal = getResponseType_0(nativeObj);
return retVal;
}
//
// C++: void getNames(vector_String names)
//
//javadoc: TrainData::getNames(names)
public void getNames(List<String> names)
{
getNames_0(nativeObj, names);
return;
}
//
// C++: void getSample(Mat varIdx, int sidx, float* buf)
//
//javadoc: TrainData::getSample(varIdx, sidx, buf)
public void getSample(Mat varIdx, int sidx, float buf)
{
getSample_0(nativeObj, varIdx.nativeObj, sidx, buf);
return;
}
//
// C++: void getValues(int vi, Mat sidx, float* values)
//
//javadoc: TrainData::getValues(vi, sidx, values)
public void getValues(int vi, Mat sidx, float values)
{
getValues_0(nativeObj, vi, sidx.nativeObj, values);
return;
}
//
// C++: void setTrainTestSplit(int count, bool shuffle = true)
//
//javadoc: TrainData::setTrainTestSplit(count, shuffle)
public void setTrainTestSplit(int count, boolean shuffle)
{
setTrainTestSplit_0(nativeObj, count, shuffle);
return;
}
//javadoc: TrainData::setTrainTestSplit(count)
public void setTrainTestSplit(int count)
{
setTrainTestSplit_1(nativeObj, count);
return;
}
//
// C++: void setTrainTestSplitRatio(double ratio, bool shuffle = true)
//
//javadoc: TrainData::setTrainTestSplitRatio(ratio, shuffle)
public void setTrainTestSplitRatio(double ratio, boolean shuffle)
{
setTrainTestSplitRatio_0(nativeObj, ratio, shuffle);
return;
}
//javadoc: TrainData::setTrainTestSplitRatio(ratio)
public void setTrainTestSplitRatio(double ratio)
{
setTrainTestSplitRatio_1(nativeObj, ratio);
return;
}
//
// C++: void shuffleTrainTest()
//
//javadoc: TrainData::shuffleTrainTest()
public void shuffleTrainTest()
{
shuffleTrainTest_0(nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getCatMap()
private static native long getCatMap_0(long nativeObj);
// C++: Mat getCatOfs()
private static native long getCatOfs_0(long nativeObj);
// C++: Mat getClassLabels()
private static native long getClassLabels_0(long nativeObj);
// C++: Mat getDefaultSubstValues()
private static native long getDefaultSubstValues_0(long nativeObj);
// C++: Mat getMissing()
private static native long getMissing_0(long nativeObj);
// C++: Mat getNormCatResponses()
private static native long getNormCatResponses_0(long nativeObj);
// C++: Mat getResponses()
private static native long getResponses_0(long nativeObj);
// C++: Mat getSampleWeights()
private static native long getSampleWeights_0(long nativeObj);
// C++: Mat getSamples()
private static native long getSamples_0(long nativeObj);
// C++: static Mat getSubVector(Mat vec, Mat idx)
private static native long getSubVector_0(long vec_nativeObj, long idx_nativeObj);
// C++: Mat getTestNormCatResponses()
private static native long getTestNormCatResponses_0(long nativeObj);
// C++: Mat getTestResponses()
private static native long getTestResponses_0(long nativeObj);
// C++: Mat getTestSampleIdx()
private static native long getTestSampleIdx_0(long nativeObj);
// C++: Mat getTestSampleWeights()
private static native long getTestSampleWeights_0(long nativeObj);
// C++: Mat getTestSamples()
private static native long getTestSamples_0(long nativeObj);
// C++: Mat getTrainNormCatResponses()
private static native long getTrainNormCatResponses_0(long nativeObj);
// C++: Mat getTrainResponses()
private static native long getTrainResponses_0(long nativeObj);
// C++: Mat getTrainSampleIdx()
private static native long getTrainSampleIdx_0(long nativeObj);
// C++: Mat getTrainSampleWeights()
private static native long getTrainSampleWeights_0(long nativeObj);
// C++: Mat getTrainSamples(int layout = ROW_SAMPLE, bool compressSamples = true, bool compressVars = true)
private static native long getTrainSamples_0(long nativeObj, int layout, boolean compressSamples, boolean compressVars);
private static native long getTrainSamples_1(long nativeObj);
// C++: Mat getVarIdx()
private static native long getVarIdx_0(long nativeObj);
// C++: Mat getVarSymbolFlags()
private static native long getVarSymbolFlags_0(long nativeObj);
// C++: Mat getVarType()
private static native long getVarType_0(long nativeObj);
// C++: static Ptr_TrainData create(Mat samples, int layout, Mat responses, Mat varIdx = Mat(), Mat sampleIdx = Mat(), Mat sampleWeights = Mat(), Mat varType = Mat())
private static native long create_0(long samples_nativeObj, int layout, long responses_nativeObj, long varIdx_nativeObj, long sampleIdx_nativeObj, long sampleWeights_nativeObj, long varType_nativeObj);
private static native long create_1(long samples_nativeObj, int layout, long responses_nativeObj);
// C++: int getCatCount(int vi)
private static native int getCatCount_0(long nativeObj, int vi);
// C++: int getLayout()
private static native int getLayout_0(long nativeObj);
// C++: int getNAllVars()
private static native int getNAllVars_0(long nativeObj);
// C++: int getNSamples()
private static native int getNSamples_0(long nativeObj);
// C++: int getNTestSamples()
private static native int getNTestSamples_0(long nativeObj);
// C++: int getNTrainSamples()
private static native int getNTrainSamples_0(long nativeObj);
// C++: int getNVars()
private static native int getNVars_0(long nativeObj);
// C++: int getResponseType()
private static native int getResponseType_0(long nativeObj);
// C++: void getNames(vector_String names)
private static native void getNames_0(long nativeObj, List<String> names);
// C++: void getSample(Mat varIdx, int sidx, float* buf)
private static native void getSample_0(long nativeObj, long varIdx_nativeObj, int sidx, float buf);
// C++: void getValues(int vi, Mat sidx, float* values)
private static native void getValues_0(long nativeObj, int vi, long sidx_nativeObj, float values);
// C++: void setTrainTestSplit(int count, bool shuffle = true)
private static native void setTrainTestSplit_0(long nativeObj, int count, boolean shuffle);
private static native void setTrainTestSplit_1(long nativeObj, int count);
// C++: void setTrainTestSplitRatio(double ratio, bool shuffle = true)
private static native void setTrainTestSplitRatio_0(long nativeObj, double ratio, boolean shuffle);
private static native void setTrainTestSplitRatio_1(long nativeObj, double ratio);
// C++: void shuffleTrainTest()
private static native void shuffleTrainTest_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/objdetect/BaseCascadeClassifier.java
+28
View File
@@ -0,0 +1,28 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.objdetect;
import org.opencv.core.Algorithm;
// C++: class BaseCascadeClassifier
//javadoc: BaseCascadeClassifier
public class BaseCascadeClassifier extends Algorithm {
protected BaseCascadeClassifier(long addr) { super(addr); }
// internal usage only
public static BaseCascadeClassifier __fromPtr__(long addr) { return new BaseCascadeClassifier(addr); }
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/objdetect/CascadeClassifier.java
+269
View File
@@ -0,0 +1,269 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.objdetect;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfRect;
import org.opencv.core.Size;
import org.opencv.utils.Converters;
// C++: class CascadeClassifier
//javadoc: CascadeClassifier
public class CascadeClassifier {
protected final long nativeObj;
protected CascadeClassifier(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static CascadeClassifier __fromPtr__(long addr) { return new CascadeClassifier(addr); }
//
// C++: CascadeClassifier(String filename)
//
//javadoc: CascadeClassifier::CascadeClassifier(filename)
public CascadeClassifier(String filename)
{
nativeObj = CascadeClassifier_0(filename);
return;
}
//
// C++: CascadeClassifier()
//
//javadoc: CascadeClassifier::CascadeClassifier()
public CascadeClassifier()
{
nativeObj = CascadeClassifier_1();
return;
}
//
// C++: Size getOriginalWindowSize()
//
//javadoc: CascadeClassifier::getOriginalWindowSize()
public Size getOriginalWindowSize()
{
Size retVal = new Size(getOriginalWindowSize_0(nativeObj));
return retVal;
}
//
// C++: static bool convert(String oldcascade, String newcascade)
//
//javadoc: CascadeClassifier::convert(oldcascade, newcascade)
public static boolean convert(String oldcascade, String newcascade)
{
boolean retVal = convert_0(oldcascade, newcascade);
return retVal;
}
//
// C++: bool empty()
//
//javadoc: CascadeClassifier::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: bool isOldFormatCascade()
//
//javadoc: CascadeClassifier::isOldFormatCascade()
public boolean isOldFormatCascade()
{
boolean retVal = isOldFormatCascade_0(nativeObj);
return retVal;
}
//
// C++: bool load(String filename)
//
//javadoc: CascadeClassifier::load(filename)
public boolean load(String filename)
{
boolean retVal = load_0(nativeObj, filename);
return retVal;
}
//
// C++: bool read(FileNode node)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: int getFeatureType()
//
//javadoc: CascadeClassifier::getFeatureType()
public int getFeatureType()
{
int retVal = getFeatureType_0(nativeObj);
return retVal;
}
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, scaleFactor, minNeighbors, flags, minSize, maxSize)
public void detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
Mat objects_mat = objects;
detectMultiScale_0(nativeObj, image.nativeObj, objects_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);
return;
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects)
public void detectMultiScale(Mat image, MatOfRect objects)
{
Mat objects_mat = objects;
detectMultiScale_1(nativeObj, image.nativeObj, objects_mat.nativeObj);
return;
}
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& numDetections, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, numDetections, scaleFactor, minNeighbors, flags, minSize, maxSize)
public void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
Mat objects_mat = objects;
Mat numDetections_mat = numDetections;
detectMultiScale2_0(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);
return;
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects, numDetections)
public void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections)
{
Mat objects_mat = objects;
Mat numDetections_mat = numDetections;
detectMultiScale2_1(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj);
return;
}
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& rejectLevels, vector_double& levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size(), bool outputRejectLevels = false)
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, rejectLevels, levelWeights, scaleFactor, minNeighbors, flags, minSize, maxSize, outputRejectLevels)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize, boolean outputRejectLevels)
{
Mat objects_mat = objects;
Mat rejectLevels_mat = rejectLevels;
Mat levelWeights_mat = levelWeights;
detectMultiScale3_0(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height, outputRejectLevels);
return;
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects, rejectLevels, levelWeights)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights)
{
Mat objects_mat = objects;
Mat rejectLevels_mat = rejectLevels;
Mat levelWeights_mat = levelWeights;
detectMultiScale3_1(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: CascadeClassifier(String filename)
private static native long CascadeClassifier_0(String filename);
// C++: CascadeClassifier()
private static native long CascadeClassifier_1();
// C++: Size getOriginalWindowSize()
private static native double[] getOriginalWindowSize_0(long nativeObj);
// C++: static bool convert(String oldcascade, String newcascade)
private static native boolean convert_0(String oldcascade, String newcascade);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: bool isOldFormatCascade()
private static native boolean isOldFormatCascade_0(long nativeObj);
// C++: bool load(String filename)
private static native boolean load_0(long nativeObj, String filename);
// C++: int getFeatureType()
private static native int getFeatureType_0(long nativeObj);
// C++: void detectMultiScale(Mat image, vector_Rect& objects, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
private static native void detectMultiScale_0(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, double scaleFactor, int minNeighbors, int flags, double minSize_width, double minSize_height, double maxSize_width, double maxSize_height);
private static native void detectMultiScale_1(long nativeObj, long image_nativeObj, long objects_mat_nativeObj);
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& numDetections, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
private static native void detectMultiScale2_0(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long numDetections_mat_nativeObj, double scaleFactor, int minNeighbors, int flags, double minSize_width, double minSize_height, double maxSize_width, double maxSize_height);
private static native void detectMultiScale2_1(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long numDetections_mat_nativeObj);
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& rejectLevels, vector_double& levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size(), bool outputRejectLevels = false)
private static native void detectMultiScale3_0(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long rejectLevels_mat_nativeObj, long levelWeights_mat_nativeObj, double scaleFactor, int minNeighbors, int flags, double minSize_width, double minSize_height, double maxSize_width, double maxSize_height, boolean outputRejectLevels);
private static native void detectMultiScale3_1(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long rejectLevels_mat_nativeObj, long levelWeights_mat_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/objdetect/HOGDescriptor.java
+597
View File
@@ -0,0 +1,597 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.objdetect;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfRect;
import org.opencv.core.Size;
import org.opencv.utils.Converters;
// C++: class HOGDescriptor
//javadoc: HOGDescriptor
public class HOGDescriptor {
protected final long nativeObj;
protected HOGDescriptor(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static HOGDescriptor __fromPtr__(long addr) { return new HOGDescriptor(addr); }
public static final int
L2Hys = 0,
DEFAULT_NLEVELS = 64;
//
// C++: HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture = 1, double _winSigma = -1, int _histogramNormType = HOGDescriptor::L2Hys, double _L2HysThreshold = 0.2, bool _gammaCorrection = false, int _nlevels = HOGDescriptor::DEFAULT_NLEVELS, bool _signedGradient = false)
//
//javadoc: HOGDescriptor::HOGDescriptor(_winSize, _blockSize, _blockStride, _cellSize, _nbins, _derivAperture, _winSigma, _histogramNormType, _L2HysThreshold, _gammaCorrection, _nlevels, _signedGradient)
public HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType, double _L2HysThreshold, boolean _gammaCorrection, int _nlevels, boolean _signedGradient)
{
nativeObj = HOGDescriptor_0(_winSize.width, _winSize.height, _blockSize.width, _blockSize.height, _blockStride.width, _blockStride.height, _cellSize.width, _cellSize.height, _nbins, _derivAperture, _winSigma, _histogramNormType, _L2HysThreshold, _gammaCorrection, _nlevels, _signedGradient);
return;
}
//javadoc: HOGDescriptor::HOGDescriptor(_winSize, _blockSize, _blockStride, _cellSize, _nbins)
public HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins)
{
nativeObj = HOGDescriptor_1(_winSize.width, _winSize.height, _blockSize.width, _blockSize.height, _blockStride.width, _blockStride.height, _cellSize.width, _cellSize.height, _nbins);
return;
}
//
// C++: HOGDescriptor(String filename)
//
//javadoc: HOGDescriptor::HOGDescriptor(filename)
public HOGDescriptor(String filename)
{
nativeObj = HOGDescriptor_2(filename);
return;
}
//
// C++: HOGDescriptor()
//
//javadoc: HOGDescriptor::HOGDescriptor()
public HOGDescriptor()
{
nativeObj = HOGDescriptor_3();
return;
}
//
// C++: bool checkDetectorSize()
//
//javadoc: HOGDescriptor::checkDetectorSize()
public boolean checkDetectorSize()
{
boolean retVal = checkDetectorSize_0(nativeObj);
return retVal;
}
//
// C++: bool load(String filename, String objname = String())
//
//javadoc: HOGDescriptor::load(filename, objname)
public boolean load(String filename, String objname)
{
boolean retVal = load_0(nativeObj, filename, objname);
return retVal;
}
//javadoc: HOGDescriptor::load(filename)
public boolean load(String filename)
{
boolean retVal = load_1(nativeObj, filename);
return retVal;
}
//
// C++: double getWinSigma()
//
//javadoc: HOGDescriptor::getWinSigma()
public double getWinSigma()
{
double retVal = getWinSigma_0(nativeObj);
return retVal;
}
//
// C++: size_t getDescriptorSize()
//
//javadoc: HOGDescriptor::getDescriptorSize()
public long getDescriptorSize()
{
long retVal = getDescriptorSize_0(nativeObj);
return retVal;
}
//
// C++: static vector_float getDaimlerPeopleDetector()
//
//javadoc: HOGDescriptor::getDaimlerPeopleDetector()
public static MatOfFloat getDaimlerPeopleDetector()
{
MatOfFloat retVal = MatOfFloat.fromNativeAddr(getDaimlerPeopleDetector_0());
return retVal;
}
//
// C++: static vector_float getDefaultPeopleDetector()
//
//javadoc: HOGDescriptor::getDefaultPeopleDetector()
public static MatOfFloat getDefaultPeopleDetector()
{
MatOfFloat retVal = MatOfFloat.fromNativeAddr(getDefaultPeopleDetector_0());
return retVal;
}
//
// C++: void compute(Mat img, vector_float& descriptors, Size winStride = Size(), Size padding = Size(), vector_Point locations = std::vector<Point>())
//
//javadoc: HOGDescriptor::compute(img, descriptors, winStride, padding, locations)
public void compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
{
Mat descriptors_mat = descriptors;
Mat locations_mat = locations;
compute_0(nativeObj, img.nativeObj, descriptors_mat.nativeObj, winStride.width, winStride.height, padding.width, padding.height, locations_mat.nativeObj);
return;
}
//javadoc: HOGDescriptor::compute(img, descriptors)
public void compute(Mat img, MatOfFloat descriptors)
{
Mat descriptors_mat = descriptors;
compute_1(nativeObj, img.nativeObj, descriptors_mat.nativeObj);
return;
}
//
// C++: void computeGradient(Mat img, Mat& grad, Mat& angleOfs, Size paddingTL = Size(), Size paddingBR = Size())
//
//javadoc: HOGDescriptor::computeGradient(img, grad, angleOfs, paddingTL, paddingBR)
public void computeGradient(Mat img, Mat grad, Mat angleOfs, Size paddingTL, Size paddingBR)
{
computeGradient_0(nativeObj, img.nativeObj, grad.nativeObj, angleOfs.nativeObj, paddingTL.width, paddingTL.height, paddingBR.width, paddingBR.height);
return;
}
//javadoc: HOGDescriptor::computeGradient(img, grad, angleOfs)
public void computeGradient(Mat img, Mat grad, Mat angleOfs)
{
computeGradient_1(nativeObj, img.nativeObj, grad.nativeObj, angleOfs.nativeObj);
return;
}
//
// C++: void detect(Mat img, vector_Point& foundLocations, vector_double& weights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), vector_Point searchLocations = std::vector<Point>())
//
//javadoc: HOGDescriptor::detect(img, foundLocations, weights, hitThreshold, winStride, padding, searchLocations)
public void detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride, Size padding, MatOfPoint searchLocations)
{
Mat foundLocations_mat = foundLocations;
Mat weights_mat = weights;
Mat searchLocations_mat = searchLocations;
detect_0(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, weights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, searchLocations_mat.nativeObj);
return;
}
//javadoc: HOGDescriptor::detect(img, foundLocations, weights)
public void detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights)
{
Mat foundLocations_mat = foundLocations;
Mat weights_mat = weights;
detect_1(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, weights_mat.nativeObj);
return;
}
//
// C++: void detectMultiScale(Mat img, vector_Rect& foundLocations, vector_double& foundWeights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), double scale = 1.05, double finalThreshold = 2.0, bool useMeanshiftGrouping = false)
//
//javadoc: HOGDescriptor::detectMultiScale(img, foundLocations, foundWeights, hitThreshold, winStride, padding, scale, finalThreshold, useMeanshiftGrouping)
public void detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping)
{
Mat foundLocations_mat = foundLocations;
Mat foundWeights_mat = foundWeights;
detectMultiScale_0(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, foundWeights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, scale, finalThreshold, useMeanshiftGrouping);
return;
}
//javadoc: HOGDescriptor::detectMultiScale(img, foundLocations, foundWeights)
public void detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights)
{
Mat foundLocations_mat = foundLocations;
Mat foundWeights_mat = foundWeights;
detectMultiScale_1(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, foundWeights_mat.nativeObj);
return;
}
//
// C++: void save(String filename, String objname = String())
//
//javadoc: HOGDescriptor::save(filename, objname)
public void save(String filename, String objname)
{
save_0(nativeObj, filename, objname);
return;
}
//javadoc: HOGDescriptor::save(filename)
public void save(String filename)
{
save_1(nativeObj, filename);
return;
}
//
// C++: void setSVMDetector(Mat _svmdetector)
//
//javadoc: HOGDescriptor::setSVMDetector(_svmdetector)
public void setSVMDetector(Mat _svmdetector)
{
setSVMDetector_0(nativeObj, _svmdetector.nativeObj);
return;
}
//
// C++: Size HOGDescriptor::winSize
//
//javadoc: HOGDescriptor::get_winSize()
public Size get_winSize()
{
Size retVal = new Size(get_winSize_0(nativeObj));
return retVal;
}
//
// C++: Size HOGDescriptor::blockSize
//
//javadoc: HOGDescriptor::get_blockSize()
public Size get_blockSize()
{
Size retVal = new Size(get_blockSize_0(nativeObj));
return retVal;
}
//
// C++: Size HOGDescriptor::blockStride
//
//javadoc: HOGDescriptor::get_blockStride()
public Size get_blockStride()
{
Size retVal = new Size(get_blockStride_0(nativeObj));
return retVal;
}
//
// C++: Size HOGDescriptor::cellSize
//
//javadoc: HOGDescriptor::get_cellSize()
public Size get_cellSize()
{
Size retVal = new Size(get_cellSize_0(nativeObj));
return retVal;
}
//
// C++: int HOGDescriptor::nbins
//
//javadoc: HOGDescriptor::get_nbins()
public int get_nbins()
{
int retVal = get_nbins_0(nativeObj);
return retVal;
}
//
// C++: int HOGDescriptor::derivAperture
//
//javadoc: HOGDescriptor::get_derivAperture()
public int get_derivAperture()
{
int retVal = get_derivAperture_0(nativeObj);
return retVal;
}
//
// C++: double HOGDescriptor::winSigma
//
//javadoc: HOGDescriptor::get_winSigma()
public double get_winSigma()
{
double retVal = get_winSigma_0(nativeObj);
return retVal;
}
//
// C++: int HOGDescriptor::histogramNormType
//
//javadoc: HOGDescriptor::get_histogramNormType()
public int get_histogramNormType()
{
int retVal = get_histogramNormType_0(nativeObj);
return retVal;
}
//
// C++: double HOGDescriptor::L2HysThreshold
//
//javadoc: HOGDescriptor::get_L2HysThreshold()
public double get_L2HysThreshold()
{
double retVal = get_L2HysThreshold_0(nativeObj);
return retVal;
}
//
// C++: bool HOGDescriptor::gammaCorrection
//
//javadoc: HOGDescriptor::get_gammaCorrection()
public boolean get_gammaCorrection()
{
boolean retVal = get_gammaCorrection_0(nativeObj);
return retVal;
}
//
// C++: vector_float HOGDescriptor::svmDetector
//
//javadoc: HOGDescriptor::get_svmDetector()
public MatOfFloat get_svmDetector()
{
MatOfFloat retVal = MatOfFloat.fromNativeAddr(get_svmDetector_0(nativeObj));
return retVal;
}
//
// C++: int HOGDescriptor::nlevels
//
//javadoc: HOGDescriptor::get_nlevels()
public int get_nlevels()
{
int retVal = get_nlevels_0(nativeObj);
return retVal;
}
//
// C++: bool HOGDescriptor::signedGradient
//
//javadoc: HOGDescriptor::get_signedGradient()
public boolean get_signedGradient()
{
boolean retVal = get_signedGradient_0(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture = 1, double _winSigma = -1, int _histogramNormType = HOGDescriptor::L2Hys, double _L2HysThreshold = 0.2, bool _gammaCorrection = false, int _nlevels = HOGDescriptor::DEFAULT_NLEVELS, bool _signedGradient = false)
private static native long HOGDescriptor_0(double _winSize_width, double _winSize_height, double _blockSize_width, double _blockSize_height, double _blockStride_width, double _blockStride_height, double _cellSize_width, double _cellSize_height, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType, double _L2HysThreshold, boolean _gammaCorrection, int _nlevels, boolean _signedGradient);
private static native long HOGDescriptor_1(double _winSize_width, double _winSize_height, double _blockSize_width, double _blockSize_height, double _blockStride_width, double _blockStride_height, double _cellSize_width, double _cellSize_height, int _nbins);
// C++: HOGDescriptor(String filename)
private static native long HOGDescriptor_2(String filename);
// C++: HOGDescriptor()
private static native long HOGDescriptor_3();
// C++: bool checkDetectorSize()
private static native boolean checkDetectorSize_0(long nativeObj);
// C++: bool load(String filename, String objname = String())
private static native boolean load_0(long nativeObj, String filename, String objname);
private static native boolean load_1(long nativeObj, String filename);
// C++: double getWinSigma()
private static native double getWinSigma_0(long nativeObj);
// C++: size_t getDescriptorSize()
private static native long getDescriptorSize_0(long nativeObj);
// C++: static vector_float getDaimlerPeopleDetector()
private static native long getDaimlerPeopleDetector_0();
// C++: static vector_float getDefaultPeopleDetector()
private static native long getDefaultPeopleDetector_0();
// C++: void compute(Mat img, vector_float& descriptors, Size winStride = Size(), Size padding = Size(), vector_Point locations = std::vector<Point>())
private static native void compute_0(long nativeObj, long img_nativeObj, long descriptors_mat_nativeObj, double winStride_width, double winStride_height, double padding_width, double padding_height, long locations_mat_nativeObj);
private static native void compute_1(long nativeObj, long img_nativeObj, long descriptors_mat_nativeObj);
// C++: void computeGradient(Mat img, Mat& grad, Mat& angleOfs, Size paddingTL = Size(), Size paddingBR = Size())
private static native void computeGradient_0(long nativeObj, long img_nativeObj, long grad_nativeObj, long angleOfs_nativeObj, double paddingTL_width, double paddingTL_height, double paddingBR_width, double paddingBR_height);
private static native void computeGradient_1(long nativeObj, long img_nativeObj, long grad_nativeObj, long angleOfs_nativeObj);
// C++: void detect(Mat img, vector_Point& foundLocations, vector_double& weights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), vector_Point searchLocations = std::vector<Point>())
private static native void detect_0(long nativeObj, long img_nativeObj, long foundLocations_mat_nativeObj, long weights_mat_nativeObj, double hitThreshold, double winStride_width, double winStride_height, double padding_width, double padding_height, long searchLocations_mat_nativeObj);
private static native void detect_1(long nativeObj, long img_nativeObj, long foundLocations_mat_nativeObj, long weights_mat_nativeObj);
// C++: void detectMultiScale(Mat img, vector_Rect& foundLocations, vector_double& foundWeights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), double scale = 1.05, double finalThreshold = 2.0, bool useMeanshiftGrouping = false)
private static native void detectMultiScale_0(long nativeObj, long img_nativeObj, long foundLocations_mat_nativeObj, long foundWeights_mat_nativeObj, double hitThreshold, double winStride_width, double winStride_height, double padding_width, double padding_height, double scale, double finalThreshold, boolean useMeanshiftGrouping);
private static native void detectMultiScale_1(long nativeObj, long img_nativeObj, long foundLocations_mat_nativeObj, long foundWeights_mat_nativeObj);
// C++: void save(String filename, String objname = String())
private static native void save_0(long nativeObj, String filename, String objname);
private static native void save_1(long nativeObj, String filename);
// C++: void setSVMDetector(Mat _svmdetector)
private static native void setSVMDetector_0(long nativeObj, long _svmdetector_nativeObj);
// C++: Size HOGDescriptor::winSize
private static native double[] get_winSize_0(long nativeObj);
// C++: Size HOGDescriptor::blockSize
private static native double[] get_blockSize_0(long nativeObj);
// C++: Size HOGDescriptor::blockStride
private static native double[] get_blockStride_0(long nativeObj);
// C++: Size HOGDescriptor::cellSize
private static native double[] get_cellSize_0(long nativeObj);
// C++: int HOGDescriptor::nbins
private static native int get_nbins_0(long nativeObj);
// C++: int HOGDescriptor::derivAperture
private static native int get_derivAperture_0(long nativeObj);
// C++: double HOGDescriptor::winSigma
private static native double get_winSigma_0(long nativeObj);
// C++: int HOGDescriptor::histogramNormType
private static native int get_histogramNormType_0(long nativeObj);
// C++: double HOGDescriptor::L2HysThreshold
private static native double get_L2HysThreshold_0(long nativeObj);
// C++: bool HOGDescriptor::gammaCorrection
private static native boolean get_gammaCorrection_0(long nativeObj);
// C++: vector_float HOGDescriptor::svmDetector
private static native long get_svmDetector_0(long nativeObj);
// C++: int HOGDescriptor::nlevels
private static native int get_nlevels_0(long nativeObj);
// C++: bool HOGDescriptor::signedGradient
private static native boolean get_signedGradient_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/objdetect/Objdetect.java
+56
View File
@@ -0,0 +1,56 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.objdetect;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfRect;
import org.opencv.utils.Converters;
// C++: class Objdetect
//javadoc: Objdetect
public class Objdetect {
public static final int
CASCADE_DO_CANNY_PRUNING = 1,
CASCADE_SCALE_IMAGE = 2,
CASCADE_FIND_BIGGEST_OBJECT = 4,
CASCADE_DO_ROUGH_SEARCH = 8;
//
// C++: void groupRectangles(vector_Rect& rectList, vector_int& weights, int groupThreshold, double eps = 0.2)
//
//javadoc: groupRectangles(rectList, weights, groupThreshold, eps)
public static void groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold, double eps)
{
Mat rectList_mat = rectList;
Mat weights_mat = weights;
groupRectangles_0(rectList_mat.nativeObj, weights_mat.nativeObj, groupThreshold, eps);
return;
}
//javadoc: groupRectangles(rectList, weights, groupThreshold)
public static void groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold)
{
Mat rectList_mat = rectList;
Mat weights_mat = weights;
groupRectangles_1(rectList_mat.nativeObj, weights_mat.nativeObj, groupThreshold);
return;
}
// C++: void groupRectangles(vector_Rect& rectList, vector_int& weights, int groupThreshold, double eps = 0.2)
private static native void groupRectangles_0(long rectList_mat_nativeObj, long weights_mat_nativeObj, int groupThreshold, double eps);
private static native void groupRectangles_1(long rectList_mat_nativeObj, long weights_mat_nativeObj, int groupThreshold);
}
Prj-Android/openCVLibrary342/src/main/java/org/opencv/osgi/OpenCVInterface.java
+8
View File
@@ -0,0 +1,8 @@
package org.opencv.osgi;
/**
* Dummy interface to allow some integration testing within OSGi implementation.
*/
public interface OpenCVInterface
{
}

Some files were not shown because too many files have changed in this diff Show More