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cxf 2026-02-01 15:09:30 +08:00
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22
.gitignore vendored Normal file
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*.iml
.gradle
/local.properties
/.idea/caches
/.idea/libraries
/.idea/modules.xml
/.idea/workspace.xml
/.idea/navEditor.xml
/.idea/assetWizardSettings.xml
.DS_Store
/build
/captures
.externalNativeBuild
.cxx
local.properties
# 新增：DJI SDK 子模块的 build 目录（关键！）
android-sdk-v5-uxsdk/build/
android-sdk-v5-uxsdk/.gradle/
android-sdk-v5-mission/build/
*/build/ # 捕获所有子模块的 build

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.idea/.gitignore vendored Normal file
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# Default ignored files
/shelf/
/workspace.xml

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.idea/.name Normal file
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ApronV5

6
.idea/AndroidProjectSystem.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="AndroidProjectSystem">
<option name="providerId" value="com.android.tools.idea.GradleProjectSystem" />
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="CompilerConfiguration">
<bytecodeTargetLevel target="17" />
</component>
</project>

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.idea/deploymentTargetSelector.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="deploymentTargetSelector">
<selectionStates>
<SelectionState runConfigName="app">
<option name="selectionMode" value="DROPDOWN" />
</SelectionState>
</selectionStates>
</component>
</project>

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.idea/gradle.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="GradleMigrationSettings" migrationVersion="1" />
<component name="GradleSettings">
<option name="linkedExternalProjectsSettings">
<GradleProjectSettings>
<option name="testRunner" value="CHOOSE_PER_TEST" />
<option name="externalProjectPath" value="$PROJECT_DIR$" />
<option name="gradleJvm" value="#GRADLE_LOCAL_JAVA_HOME" />
<option name="modules">
<set>
<option value="$PROJECT_DIR$" />
<option value="$PROJECT_DIR$/android-sdk-v5-uxsdk" />
<option value="$PROJECT_DIR$/app" />
</set>
</option>
</GradleProjectSettings>
</option>
</component>
</project>

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.idea/jarRepositories.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="RemoteRepositoriesConfiguration">
<remote-repository>
<option name="id" value="central" />
<option name="name" value="Maven Central repository" />
<option name="url" value="https://repo1.maven.org/maven2" />
</remote-repository>
<remote-repository>
<option name="id" value="jboss.community" />
<option name="name" value="JBoss Community repository" />
<option name="url" value="https://repository.jboss.org/nexus/content/repositories/public/" />
</remote-repository>
<remote-repository>
<option name="id" value="maven6" />
<option name="name" value="maven6" />
<option name="url" value="https://s3.amazonaws.com/repo.commonsware.com" />
</remote-repository>
<remote-repository>
<option name="id" value="maven5" />
<option name="name" value="maven5" />
<option name="url" value="https://maven.aliyun.com/nexus/content/repositories/releases" />
</remote-repository>
<remote-repository>
<option name="id" value="MavenRepo" />
<option name="name" value="MavenRepo" />
<option name="url" value="https://repo.maven.apache.org/maven2/" />
</remote-repository>
<remote-repository>
<option name="id" value="maven2" />
<option name="name" value="maven2" />
<option name="url" value="https://maven.aliyun.com/nexus/content/repositories/google" />
</remote-repository>
<remote-repository>
<option name="id" value="maven9" />
<option name="name" value="maven9" />
<option name="url" value="https://dl.bintray.com/kotlin/kotlin-eap" />
</remote-repository>
<remote-repository>
<option name="id" value="BintrayJCenter2" />
<option name="name" value="BintrayJCenter2" />
<option name="url" value="https://jcenter.bintray.com/" />
</remote-repository>
<remote-repository>
<option name="id" value="maven10" />
<option name="name" value="maven10" />
<option name="url" value="https://jitpack.io" />
</remote-repository>
<remote-repository>
<option name="id" value="maven7" />
<option name="name" value="maven7" />
<option name="url" value="http://repo.sunhitech.com:1338/repository/sunhi-java/" />
</remote-repository>
<remote-repository>
<option name="id" value="maven3" />
<option name="name" value="maven3" />
<option name="url" value="https://maven.aliyun.com/repository/public" />
</remote-repository>
<remote-repository>
<option name="id" value="maven4" />
<option name="name" value="maven4" />
<option name="url" value="https://maven.aliyun.com/nexus/content/repositories/jcenter" />
</remote-repository>
<remote-repository>
<option name="id" value="Google" />
<option name="name" value="Google" />
<option name="url" value="https://dl.google.com/dl/android/maven2/" />
</remote-repository>
</component>
</project>

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.idea/kotlinc.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="KotlinJpsPluginSettings">
<option name="version" value="1.7.21" />
</component>
</project>

10
.idea/migrations.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectMigrations">
<option name="MigrateToGradleLocalJavaHome">
<set>
<option value="$PROJECT_DIR$" />
</set>
</option>
</component>
</project>

6
.idea/misc.xml Normal file
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<project version="4">
<component name="ExternalStorageConfigurationManager" enabled="true" />
<component name="ProjectRootManager" version="2" languageLevel="JDK_17" default="true" project-jdk-name="jbr-17" project-jdk-type="JavaSDK">
<output url="file://$PROJECT_DIR$/build/classes" />
</component>
</project>

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.idea/runConfigurations.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="RunConfigurationProducerService">
<option name="ignoredProducers">
<set>
<option value="com.intellij.execution.junit.AbstractAllInDirectoryConfigurationProducer" />
<option value="com.intellij.execution.junit.AllInPackageConfigurationProducer" />
<option value="com.intellij.execution.junit.PatternConfigurationProducer" />
<option value="com.intellij.execution.junit.TestInClassConfigurationProducer" />
<option value="com.intellij.execution.junit.UniqueIdConfigurationProducer" />
<option value="com.intellij.execution.junit.testDiscovery.JUnitTestDiscoveryConfigurationProducer" />
<option value="org.jetbrains.kotlin.idea.junit.KotlinJUnitRunConfigurationProducer" />
<option value="org.jetbrains.kotlin.idea.junit.KotlinPatternConfigurationProducer" />
</set>
</option>
</component>
</project>

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.idea/vcs.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
<mapping directory="$PROJECT_DIR$" vcs="Git" />
</component>
</project>

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OpenCV/build.gradle Normal file
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apply plugin: 'com.android.library'
android {
compileSdkVersion 29
buildToolsVersion "29.0.2"
defaultConfig {
}
buildTypes {
release {
minifyEnabled false
proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.txt'
}
}
}

6
OpenCV/src/main/AndroidManifest.xml Normal file
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<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.opencv"
android:versionCode="4100"
android:versionName="4.1.0-dev">
</manifest>

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OpenCV/src/main/aidl/org/opencv/engine/OpenCVEngineInterface.aidl Normal file
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package org.opencv.engine;
/**
* Class provides a Java interface for OpenCV Engine Service. It's synchronous with native OpenCVEngine class.
*/
interface OpenCVEngineInterface
{
/**
* @return Returns service version.
*/
int getEngineVersion();
/**
* Finds an installed OpenCV library.
* @param OpenCV version.
* @return Returns path to OpenCV native libs or an empty string if OpenCV can not be found.
*/
String getLibPathByVersion(String version);
/**
* Tries to install defined version of OpenCV from Google Play Market.
* @param OpenCV version.
* @return Returns true if installation was successful or OpenCV package has been already installed.
*/
boolean installVersion(String version);
/**
* Returns list of libraries in loading order, separated by semicolon.
* @param OpenCV version.
* @return Returns names of OpenCV libraries, separated by semicolon.
*/
String getLibraryList(String version);
}

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OpenCV/src/main/java/org/opencv/android/AsyncServiceHelper.java Normal file
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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_java4.so";
result = loadLibrary(AbsLibraryPath);
}
return result;
}
else
{
Log.d(TAG, "Library path \"" + Path + "\" is empty");
return false;
}
}
}

141
OpenCV/src/main/java/org/opencv/android/BaseLoaderCallback.java Normal file
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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 = "OCV/BaseLoaderCallback";
}

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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);
}
}
}

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OpenCV/src/main/java/org/opencv/android/CameraBridgeViewBase.java Normal file
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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);
}
}

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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;
}
}

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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();
}
}

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OpenCV/src/main/java/org/opencv/android/CameraRenderer.java Normal file
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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;
}
}

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OpenCV/src/main/java/org/opencv/android/FpsMeter.java Normal file
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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 mFramesCounter;
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCounter = 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 {
mFramesCounter++;
if (mFramesCounter % 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);
}
}

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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();
};

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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);
} else { // make JavaCamera2View behaves in the same way as JavaCameraView
Log.i(LOGTAG, "Trying to open camera with the value (" + mCameraIndex + ")");
if (mCameraIndex < camList.length) {
mCameraID = camList[mCameraIndex];
manager.openCamera(mCameraID, mStateCallback, mBackgroundHandler);
} else {
// CAMERA_DISCONNECTED is used when the camera id is no longer valid
throw new CameraAccessException(CameraAccessException.CAMERA_DISCONNECTED);
}
}
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);
JavaCamera2Frame tempFrame = new JavaCamera2Frame(image);
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() {
Image.Plane[] planes = mImage.getPlanes();
int w = mImage.getWidth();
int h = mImage.getHeight();
ByteBuffer y_plane = planes[0].getBuffer();
mGray = new Mat(h, w, CvType.CV_8UC1, y_plane);
return mGray;
}
@Override
public Mat rgba() {
Image.Plane[] planes = mImage.getPlanes();
int w = mImage.getWidth();
int h = mImage.getHeight();
int chromaPixelStride = planes[1].getPixelStride();
if (chromaPixelStride == 2) { // Chroma channels are interleaved
assert(planes[0].getPixelStride() == 1);
assert(planes[2].getPixelStride() == 2);
ByteBuffer y_plane = planes[0].getBuffer();
ByteBuffer uv_plane1 = planes[1].getBuffer();
ByteBuffer uv_plane2 = planes[2].getBuffer();
Mat y_mat = new Mat(h, w, CvType.CV_8UC1, y_plane);
Mat uv_mat1 = new Mat(h / 2, w / 2, CvType.CV_8UC2, uv_plane1);
Mat uv_mat2 = new Mat(h / 2, w / 2, CvType.CV_8UC2, uv_plane2);
long addr_diff = uv_mat2.dataAddr() - uv_mat1.dataAddr();
if (addr_diff > 0) {
assert(addr_diff == 1);
Imgproc.cvtColorTwoPlane(y_mat, uv_mat1, mRgba, Imgproc.COLOR_YUV2RGBA_NV12);
} else {
assert(addr_diff == -1);
Imgproc.cvtColorTwoPlane(y_mat, uv_mat2, mRgba, Imgproc.COLOR_YUV2RGBA_NV21);
}
return mRgba;
} else { // Chroma channels are not interleaved
byte[] yuv_bytes = new byte[w*(h+h/2)];
ByteBuffer y_plane = planes[0].getBuffer();
ByteBuffer u_plane = planes[1].getBuffer();
ByteBuffer v_plane = planes[2].getBuffer();
y_plane.get(yuv_bytes, 0, w*h);
int chromaRowStride = planes[1].getRowStride();
int chromaRowPadding = chromaRowStride - w/2;
int offset = w*h;
if (chromaRowPadding == 0){
// When the row stride of the chroma channels equals their width, we can copy
// the entire channels in one go
u_plane.get(yuv_bytes, offset, w*h/4);
offset += w*h/4;
v_plane.get(yuv_bytes, offset, w*h/4);
} else {
// When not equal, we need to copy the channels row by row
for (int i = 0; i < h/2; i++){
u_plane.get(yuv_bytes, offset, w/2);
offset += w/2;
if (i < h/2-1){
u_plane.position(u_plane.position() + chromaRowPadding);
}
}
for (int i = 0; i < h/2; i++){
v_plane.get(yuv_bytes, offset, w/2);
offset += w/2;
if (i < h/2-1){
v_plane.position(v_plane.position() + chromaRowPadding);
}
}
}
Mat yuv_mat = new Mat(h+h/2, w, CvType.CV_8UC1);
yuv_mat.put(0, 0, yuv_bytes);
Imgproc.cvtColor(yuv_mat, mRgba, Imgproc.COLOR_YUV2RGBA_I420, 4);
return mRgba;
}
}
public JavaCamera2Frame(Image image) {
super();
mImage = image;
mRgba = new Mat();
mGray = new Mat();
}
public void release() {
mRgba.release();
mGray.release();
}
private Image mImage;
private Mat mRgba;
private Mat mGray;
};
}

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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");
}
}
}

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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);
};

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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 = "4.1.0";
/**
* 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);
}
}

104
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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_java4");
}
return result;
}
private static final String TAG = "OpenCV/StaticHelper";
private static native String getLibraryList();
}

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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 IllegalArgumentException("bmp == null");
if (mat == null)
throw new 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 IllegalArgumentException("mat == null");
if (bmp == null)
throw new 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);
}

955
OpenCV/src/main/java/org/opencv/aruco/Aruco.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.aruco;
import java.util.ArrayList;
import java.util.List;
import org.opencv.aruco.Board;
import org.opencv.aruco.CharucoBoard;
import org.opencv.aruco.DetectorParameters;
import org.opencv.aruco.Dictionary;
import org.opencv.core.Mat;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.core.TermCriteria;
import org.opencv.utils.Converters;
// C++: class Aruco
//javadoc: Aruco
public class Aruco {
// C++: enum CornerRefineMethod
public static final int
CORNER_REFINE_NONE = 0,
CORNER_REFINE_SUBPIX = 1,
CORNER_REFINE_CONTOUR = 2,
CORNER_REFINE_APRILTAG = 3;
// C++: enum PREDEFINED_DICTIONARY_NAME
public static final int
DICT_4X4_50 = 0,
DICT_4X4_100 = 0+1,
DICT_4X4_250 = 0+2,
DICT_4X4_1000 = 0+3,
DICT_5X5_50 = 0+4,
DICT_5X5_100 = 0+5,
DICT_5X5_250 = 0+6,
DICT_5X5_1000 = 0+7,
DICT_6X6_50 = 0+8,
DICT_6X6_100 = 0+9,
DICT_6X6_250 = 0+10,
DICT_6X6_1000 = 0+11,
DICT_7X7_50 = 0+12,
DICT_7X7_100 = 0+13,
DICT_7X7_250 = 0+14,
DICT_7X7_1000 = 0+15,
DICT_ARUCO_ORIGINAL = 0+16,
DICT_APRILTAG_16h5 = 0+17,
DICT_APRILTAG_25h9 = 0+18,
DICT_APRILTAG_36h10 = 0+19,
DICT_APRILTAG_36h11 = 0+20;
//
// C++: Ptr_Dictionary cv::aruco::generateCustomDictionary(int nMarkers, int markerSize, Ptr_Dictionary baseDictionary, int randomSeed = 0)
//
//javadoc: custom_dictionary_from(nMarkers, markerSize, baseDictionary, randomSeed)
public static Dictionary custom_dictionary_from(int nMarkers, int markerSize, Dictionary baseDictionary, int randomSeed)
{
Dictionary retVal = Dictionary.__fromPtr__(custom_dictionary_from_0(nMarkers, markerSize, baseDictionary.getNativeObjAddr(), randomSeed));
return retVal;
}
//javadoc: custom_dictionary_from(nMarkers, markerSize, baseDictionary)
public static Dictionary custom_dictionary_from(int nMarkers, int markerSize, Dictionary baseDictionary)
{
Dictionary retVal = Dictionary.__fromPtr__(custom_dictionary_from_1(nMarkers, markerSize, baseDictionary.getNativeObjAddr()));
return retVal;
}
//
// C++: Ptr_Dictionary cv::aruco::generateCustomDictionary(int nMarkers, int markerSize, int randomSeed = 0)
//
//javadoc: custom_dictionary(nMarkers, markerSize, randomSeed)
public static Dictionary custom_dictionary(int nMarkers, int markerSize, int randomSeed)
{
Dictionary retVal = Dictionary.__fromPtr__(custom_dictionary_0(nMarkers, markerSize, randomSeed));
return retVal;
}
//javadoc: custom_dictionary(nMarkers, markerSize)
public static Dictionary custom_dictionary(int nMarkers, int markerSize)
{
Dictionary retVal = Dictionary.__fromPtr__(custom_dictionary_1(nMarkers, markerSize));
return retVal;
}
//
// C++: Ptr_Dictionary cv::aruco::getPredefinedDictionary(int dict)
//
//javadoc: getPredefinedDictionary(dict)
public static Dictionary getPredefinedDictionary(int dict)
{
Dictionary retVal = Dictionary.__fromPtr__(getPredefinedDictionary_0(dict));
return retVal;
}
//
// C++: bool cv::aruco::estimatePoseCharucoBoard(Mat charucoCorners, Mat charucoIds, Ptr_CharucoBoard board, Mat cameraMatrix, Mat distCoeffs, Mat& rvec, Mat& tvec, bool useExtrinsicGuess = false)
//
//javadoc: estimatePoseCharucoBoard(charucoCorners, charucoIds, board, cameraMatrix, distCoeffs, rvec, tvec, useExtrinsicGuess)
public static boolean estimatePoseCharucoBoard(Mat charucoCorners, Mat charucoIds, CharucoBoard board, Mat cameraMatrix, Mat distCoeffs, Mat rvec, Mat tvec, boolean useExtrinsicGuess)
{
boolean retVal = estimatePoseCharucoBoard_0(charucoCorners.nativeObj, charucoIds.nativeObj, board.getNativeObjAddr(), cameraMatrix.nativeObj, distCoeffs.nativeObj, rvec.nativeObj, tvec.nativeObj, useExtrinsicGuess);
return retVal;
}
//javadoc: estimatePoseCharucoBoard(charucoCorners, charucoIds, board, cameraMatrix, distCoeffs, rvec, tvec)
public static boolean estimatePoseCharucoBoard(Mat charucoCorners, Mat charucoIds, CharucoBoard board, Mat cameraMatrix, Mat distCoeffs, Mat rvec, Mat tvec)
{
boolean retVal = estimatePoseCharucoBoard_1(charucoCorners.nativeObj, charucoIds.nativeObj, board.getNativeObjAddr(), cameraMatrix.nativeObj, distCoeffs.nativeObj, rvec.nativeObj, tvec.nativeObj);
return retVal;
}
//
// C++: double cv::aruco::calibrateCameraAruco(vector_Mat corners, Mat ids, Mat counter, Ptr_Board board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs, vector_Mat& tvecs, Mat& stdDeviationsIntrinsics, Mat& stdDeviationsExtrinsics, Mat& perViewErrors, int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
//
//javadoc: calibrateCameraArucoExtended(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, stdDeviationsIntrinsics, stdDeviationsExtrinsics, perViewErrors, flags, criteria)
public static double calibrateCameraArucoExtended(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors, int flags, TermCriteria criteria)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraArucoExtended_0(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraArucoExtended(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, stdDeviationsIntrinsics, stdDeviationsExtrinsics, perViewErrors, flags)
public static double calibrateCameraArucoExtended(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors, int flags)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraArucoExtended_1(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj, flags);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraArucoExtended(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, stdDeviationsIntrinsics, stdDeviationsExtrinsics, perViewErrors)
public static double calibrateCameraArucoExtended(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraArucoExtended_2(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//
// C++: double cv::aruco::calibrateCameraAruco(vector_Mat corners, Mat ids, Mat counter, Ptr_Board board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs = vector_Mat(), vector_Mat& tvecs = vector_Mat(), int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
//
//javadoc: calibrateCameraAruco(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags, criteria)
public static double calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraAruco_0(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraAruco(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags)
public static double calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraAruco_1(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, flags);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraAruco(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs)
public static double calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraAruco_2(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraAruco(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs, rvecs)
public static double calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
Mat rvecs_mat = new Mat();
double retVal = calibrateCameraAruco_3(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraAruco(corners, ids, counter, board, imageSize, cameraMatrix, distCoeffs)
public static double calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
double retVal = calibrateCameraAruco_4(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj);
return retVal;
}
//
// C++: double cv::aruco::calibrateCameraCharuco(vector_Mat charucoCorners, vector_Mat charucoIds, Ptr_CharucoBoard board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs, vector_Mat& tvecs, Mat& stdDeviationsIntrinsics, Mat& stdDeviationsExtrinsics, Mat& perViewErrors, int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
//
//javadoc: calibrateCameraCharucoExtended(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, stdDeviationsIntrinsics, stdDeviationsExtrinsics, perViewErrors, flags, criteria)
public static double calibrateCameraCharucoExtended(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors, int flags, TermCriteria criteria)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraCharucoExtended_0(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraCharucoExtended(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, stdDeviationsIntrinsics, stdDeviationsExtrinsics, perViewErrors, flags)
public static double calibrateCameraCharucoExtended(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors, int flags)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraCharucoExtended_1(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj, flags);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraCharucoExtended(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, stdDeviationsIntrinsics, stdDeviationsExtrinsics, perViewErrors)
public static double calibrateCameraCharucoExtended(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraCharucoExtended_2(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//
// C++: double cv::aruco::calibrateCameraCharuco(vector_Mat charucoCorners, vector_Mat charucoIds, Ptr_CharucoBoard board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs = vector_Mat(), vector_Mat& tvecs = vector_Mat(), int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
//
//javadoc: calibrateCameraCharuco(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags, criteria)
public static double calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraCharuco_0(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraCharuco(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags)
public static double calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraCharuco_1(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, flags);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraCharuco(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs)
public static double calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
Mat rvecs_mat = new Mat();
Mat tvecs_mat = new Mat();
double retVal = calibrateCameraCharuco_2(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
tvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraCharuco(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs, rvecs)
public static double calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
Mat rvecs_mat = new Mat();
double retVal = calibrateCameraCharuco_3(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj);
Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
rvecs_mat.release();
return retVal;
}
//javadoc: calibrateCameraCharuco(charucoCorners, charucoIds, board, imageSize, cameraMatrix, distCoeffs)
public static double calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs)
{
Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
double retVal = calibrateCameraCharuco_4(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj);
return retVal;
}
//
// C++: int cv::aruco::estimatePoseBoard(vector_Mat corners, Mat ids, Ptr_Board board, Mat cameraMatrix, Mat distCoeffs, Mat& rvec, Mat& tvec, bool useExtrinsicGuess = false)
//
//javadoc: estimatePoseBoard(corners, ids, board, cameraMatrix, distCoeffs, rvec, tvec, useExtrinsicGuess)
public static int estimatePoseBoard(List<Mat> corners, Mat ids, Board board, Mat cameraMatrix, Mat distCoeffs, Mat rvec, Mat tvec, boolean useExtrinsicGuess)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
int retVal = estimatePoseBoard_0(corners_mat.nativeObj, ids.nativeObj, board.getNativeObjAddr(), cameraMatrix.nativeObj, distCoeffs.nativeObj, rvec.nativeObj, tvec.nativeObj, useExtrinsicGuess);
return retVal;
}
//javadoc: estimatePoseBoard(corners, ids, board, cameraMatrix, distCoeffs, rvec, tvec)
public static int estimatePoseBoard(List<Mat> corners, Mat ids, Board board, Mat cameraMatrix, Mat distCoeffs, Mat rvec, Mat tvec)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
int retVal = estimatePoseBoard_1(corners_mat.nativeObj, ids.nativeObj, board.getNativeObjAddr(), cameraMatrix.nativeObj, distCoeffs.nativeObj, rvec.nativeObj, tvec.nativeObj);
return retVal;
}
//
// C++: int cv::aruco::interpolateCornersCharuco(vector_Mat markerCorners, Mat markerIds, Mat image, Ptr_CharucoBoard board, Mat& charucoCorners, Mat& charucoIds, Mat cameraMatrix = Mat(), Mat distCoeffs = Mat(), int minMarkers = 2)
//
//javadoc: interpolateCornersCharuco(markerCorners, markerIds, image, board, charucoCorners, charucoIds, cameraMatrix, distCoeffs, minMarkers)
public static int interpolateCornersCharuco(List<Mat> markerCorners, Mat markerIds, Mat image, CharucoBoard board, Mat charucoCorners, Mat charucoIds, Mat cameraMatrix, Mat distCoeffs, int minMarkers)
{
Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
int retVal = interpolateCornersCharuco_0(markerCorners_mat.nativeObj, markerIds.nativeObj, image.nativeObj, board.getNativeObjAddr(), charucoCorners.nativeObj, charucoIds.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj, minMarkers);
return retVal;
}
//javadoc: interpolateCornersCharuco(markerCorners, markerIds, image, board, charucoCorners, charucoIds, cameraMatrix, distCoeffs)
public static int interpolateCornersCharuco(List<Mat> markerCorners, Mat markerIds, Mat image, CharucoBoard board, Mat charucoCorners, Mat charucoIds, Mat cameraMatrix, Mat distCoeffs)
{
Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
int retVal = interpolateCornersCharuco_1(markerCorners_mat.nativeObj, markerIds.nativeObj, image.nativeObj, board.getNativeObjAddr(), charucoCorners.nativeObj, charucoIds.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj);
return retVal;
}
//javadoc: interpolateCornersCharuco(markerCorners, markerIds, image, board, charucoCorners, charucoIds, cameraMatrix)
public static int interpolateCornersCharuco(List<Mat> markerCorners, Mat markerIds, Mat image, CharucoBoard board, Mat charucoCorners, Mat charucoIds, Mat cameraMatrix)
{
Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
int retVal = interpolateCornersCharuco_2(markerCorners_mat.nativeObj, markerIds.nativeObj, image.nativeObj, board.getNativeObjAddr(), charucoCorners.nativeObj, charucoIds.nativeObj, cameraMatrix.nativeObj);
return retVal;
}
//javadoc: interpolateCornersCharuco(markerCorners, markerIds, image, board, charucoCorners, charucoIds)
public static int interpolateCornersCharuco(List<Mat> markerCorners, Mat markerIds, Mat image, CharucoBoard board, Mat charucoCorners, Mat charucoIds)
{
Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
int retVal = interpolateCornersCharuco_3(markerCorners_mat.nativeObj, markerIds.nativeObj, image.nativeObj, board.getNativeObjAddr(), charucoCorners.nativeObj, charucoIds.nativeObj);
return retVal;
}
//
// C++: void cv::aruco::detectCharucoDiamond(Mat image, vector_Mat markerCorners, Mat markerIds, float squareMarkerLengthRate, vector_Mat& diamondCorners, Mat& diamondIds, Mat cameraMatrix = Mat(), Mat distCoeffs = Mat())
//
//javadoc: detectCharucoDiamond(image, markerCorners, markerIds, squareMarkerLengthRate, diamondCorners, diamondIds, cameraMatrix, distCoeffs)
public static void detectCharucoDiamond(Mat image, List<Mat> markerCorners, Mat markerIds, float squareMarkerLengthRate, List<Mat> diamondCorners, Mat diamondIds, Mat cameraMatrix, Mat distCoeffs)
{
Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
Mat diamondCorners_mat = new Mat();
detectCharucoDiamond_0(image.nativeObj, markerCorners_mat.nativeObj, markerIds.nativeObj, squareMarkerLengthRate, diamondCorners_mat.nativeObj, diamondIds.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj);
Converters.Mat_to_vector_Mat(diamondCorners_mat, diamondCorners);
diamondCorners_mat.release();
return;
}
//javadoc: detectCharucoDiamond(image, markerCorners, markerIds, squareMarkerLengthRate, diamondCorners, diamondIds, cameraMatrix)
public static void detectCharucoDiamond(Mat image, List<Mat> markerCorners, Mat markerIds, float squareMarkerLengthRate, List<Mat> diamondCorners, Mat diamondIds, Mat cameraMatrix)
{
Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
Mat diamondCorners_mat = new Mat();
detectCharucoDiamond_1(image.nativeObj, markerCorners_mat.nativeObj, markerIds.nativeObj, squareMarkerLengthRate, diamondCorners_mat.nativeObj, diamondIds.nativeObj, cameraMatrix.nativeObj);
Converters.Mat_to_vector_Mat(diamondCorners_mat, diamondCorners);
diamondCorners_mat.release();
return;
}
//javadoc: detectCharucoDiamond(image, markerCorners, markerIds, squareMarkerLengthRate, diamondCorners, diamondIds)
public static void detectCharucoDiamond(Mat image, List<Mat> markerCorners, Mat markerIds, float squareMarkerLengthRate, List<Mat> diamondCorners, Mat diamondIds)
{
Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
Mat diamondCorners_mat = new Mat();
detectCharucoDiamond_2(image.nativeObj, markerCorners_mat.nativeObj, markerIds.nativeObj, squareMarkerLengthRate, diamondCorners_mat.nativeObj, diamondIds.nativeObj);
Converters.Mat_to_vector_Mat(diamondCorners_mat, diamondCorners);
diamondCorners_mat.release();
return;
}
//
// C++: void cv::aruco::detectMarkers(Mat image, Ptr_Dictionary dictionary, vector_Mat& corners, Mat& ids, Ptr_DetectorParameters parameters = DetectorParameters::create(), vector_Mat& rejectedImgPoints = vector_Mat(), Mat cameraMatrix = Mat(), Mat distCoeff = Mat())
//
//javadoc: detectMarkers(image, dictionary, corners, ids, parameters, rejectedImgPoints, cameraMatrix, distCoeff)
public static void detectMarkers(Mat image, Dictionary dictionary, List<Mat> corners, Mat ids, DetectorParameters parameters, List<Mat> rejectedImgPoints, Mat cameraMatrix, Mat distCoeff)
{
Mat corners_mat = new Mat();
Mat rejectedImgPoints_mat = new Mat();
detectMarkers_0(image.nativeObj, dictionary.getNativeObjAddr(), corners_mat.nativeObj, ids.nativeObj, parameters.getNativeObjAddr(), rejectedImgPoints_mat.nativeObj, cameraMatrix.nativeObj, distCoeff.nativeObj);
Converters.Mat_to_vector_Mat(corners_mat, corners);
corners_mat.release();
Converters.Mat_to_vector_Mat(rejectedImgPoints_mat, rejectedImgPoints);
rejectedImgPoints_mat.release();
return;
}
//javadoc: detectMarkers(image, dictionary, corners, ids, parameters, rejectedImgPoints, cameraMatrix)
public static void detectMarkers(Mat image, Dictionary dictionary, List<Mat> corners, Mat ids, DetectorParameters parameters, List<Mat> rejectedImgPoints, Mat cameraMatrix)
{
Mat corners_mat = new Mat();
Mat rejectedImgPoints_mat = new Mat();
detectMarkers_1(image.nativeObj, dictionary.getNativeObjAddr(), corners_mat.nativeObj, ids.nativeObj, parameters.getNativeObjAddr(), rejectedImgPoints_mat.nativeObj, cameraMatrix.nativeObj);
Converters.Mat_to_vector_Mat(corners_mat, corners);
corners_mat.release();
Converters.Mat_to_vector_Mat(rejectedImgPoints_mat, rejectedImgPoints);
rejectedImgPoints_mat.release();
return;
}
//javadoc: detectMarkers(image, dictionary, corners, ids, parameters, rejectedImgPoints)
public static void detectMarkers(Mat image, Dictionary dictionary, List<Mat> corners, Mat ids, DetectorParameters parameters, List<Mat> rejectedImgPoints)
{
Mat corners_mat = new Mat();
Mat rejectedImgPoints_mat = new Mat();
detectMarkers_2(image.nativeObj, dictionary.getNativeObjAddr(), corners_mat.nativeObj, ids.nativeObj, parameters.getNativeObjAddr(), rejectedImgPoints_mat.nativeObj);
Converters.Mat_to_vector_Mat(corners_mat, corners);
corners_mat.release();
Converters.Mat_to_vector_Mat(rejectedImgPoints_mat, rejectedImgPoints);
rejectedImgPoints_mat.release();
return;
}
//javadoc: detectMarkers(image, dictionary, corners, ids, parameters)
public static void detectMarkers(Mat image, Dictionary dictionary, List<Mat> corners, Mat ids, DetectorParameters parameters)
{
Mat corners_mat = new Mat();
detectMarkers_3(image.nativeObj, dictionary.getNativeObjAddr(), corners_mat.nativeObj, ids.nativeObj, parameters.getNativeObjAddr());
Converters.Mat_to_vector_Mat(corners_mat, corners);
corners_mat.release();
return;
}
//javadoc: detectMarkers(image, dictionary, corners, ids)
public static void detectMarkers(Mat image, Dictionary dictionary, List<Mat> corners, Mat ids)
{
Mat corners_mat = new Mat();
detectMarkers_4(image.nativeObj, dictionary.getNativeObjAddr(), corners_mat.nativeObj, ids.nativeObj);
Converters.Mat_to_vector_Mat(corners_mat, corners);
corners_mat.release();
return;
}
//
// C++: void cv::aruco::drawAxis(Mat& image, Mat cameraMatrix, Mat distCoeffs, Mat rvec, Mat tvec, float length)
//
//javadoc: drawAxis(image, cameraMatrix, distCoeffs, rvec, tvec, length)
@Deprecated
public static void drawAxis(Mat image, Mat cameraMatrix, Mat distCoeffs, Mat rvec, Mat tvec, float length)
{
drawAxis_0(image.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvec.nativeObj, tvec.nativeObj, length);
return;
}
//
// C++: void cv::aruco::drawDetectedCornersCharuco(Mat& image, Mat charucoCorners, Mat charucoIds = Mat(), Scalar cornerColor = Scalar(255, 0, 0))
//
//javadoc: drawDetectedCornersCharuco(image, charucoCorners, charucoIds, cornerColor)
public static void drawDetectedCornersCharuco(Mat image, Mat charucoCorners, Mat charucoIds, Scalar cornerColor)
{
drawDetectedCornersCharuco_0(image.nativeObj, charucoCorners.nativeObj, charucoIds.nativeObj, cornerColor.val[0], cornerColor.val[1], cornerColor.val[2], cornerColor.val[3]);
return;
}
//javadoc: drawDetectedCornersCharuco(image, charucoCorners, charucoIds)
public static void drawDetectedCornersCharuco(Mat image, Mat charucoCorners, Mat charucoIds)
{
drawDetectedCornersCharuco_1(image.nativeObj, charucoCorners.nativeObj, charucoIds.nativeObj);
return;
}
//javadoc: drawDetectedCornersCharuco(image, charucoCorners)
public static void drawDetectedCornersCharuco(Mat image, Mat charucoCorners)
{
drawDetectedCornersCharuco_2(image.nativeObj, charucoCorners.nativeObj);
return;
}
//
// C++: void cv::aruco::drawDetectedDiamonds(Mat& image, vector_Mat diamondCorners, Mat diamondIds = Mat(), Scalar borderColor = Scalar(0, 0, 255))
//
//javadoc: drawDetectedDiamonds(image, diamondCorners, diamondIds, borderColor)
public static void drawDetectedDiamonds(Mat image, List<Mat> diamondCorners, Mat diamondIds, Scalar borderColor)
{
Mat diamondCorners_mat = Converters.vector_Mat_to_Mat(diamondCorners);
drawDetectedDiamonds_0(image.nativeObj, diamondCorners_mat.nativeObj, diamondIds.nativeObj, borderColor.val[0], borderColor.val[1], borderColor.val[2], borderColor.val[3]);
return;
}
//javadoc: drawDetectedDiamonds(image, diamondCorners, diamondIds)
public static void drawDetectedDiamonds(Mat image, List<Mat> diamondCorners, Mat diamondIds)
{
Mat diamondCorners_mat = Converters.vector_Mat_to_Mat(diamondCorners);
drawDetectedDiamonds_1(image.nativeObj, diamondCorners_mat.nativeObj, diamondIds.nativeObj);
return;
}
//javadoc: drawDetectedDiamonds(image, diamondCorners)
public static void drawDetectedDiamonds(Mat image, List<Mat> diamondCorners)
{
Mat diamondCorners_mat = Converters.vector_Mat_to_Mat(diamondCorners);
drawDetectedDiamonds_2(image.nativeObj, diamondCorners_mat.nativeObj);
return;
}
//
// C++: void cv::aruco::drawDetectedMarkers(Mat& image, vector_Mat corners, Mat ids = Mat(), Scalar borderColor = Scalar(0, 255, 0))
//
//javadoc: drawDetectedMarkers(image, corners, ids, borderColor)
public static void drawDetectedMarkers(Mat image, List<Mat> corners, Mat ids, Scalar borderColor)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
drawDetectedMarkers_0(image.nativeObj, corners_mat.nativeObj, ids.nativeObj, borderColor.val[0], borderColor.val[1], borderColor.val[2], borderColor.val[3]);
return;
}
//javadoc: drawDetectedMarkers(image, corners, ids)
public static void drawDetectedMarkers(Mat image, List<Mat> corners, Mat ids)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
drawDetectedMarkers_1(image.nativeObj, corners_mat.nativeObj, ids.nativeObj);
return;
}
//javadoc: drawDetectedMarkers(image, corners)
public static void drawDetectedMarkers(Mat image, List<Mat> corners)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
drawDetectedMarkers_2(image.nativeObj, corners_mat.nativeObj);
return;
}
//
// C++: void cv::aruco::drawMarker(Ptr_Dictionary dictionary, int id, int sidePixels, Mat& img, int borderBits = 1)
//
//javadoc: drawMarker(dictionary, id, sidePixels, img, borderBits)
public static void drawMarker(Dictionary dictionary, int id, int sidePixels, Mat img, int borderBits)
{
drawMarker_0(dictionary.getNativeObjAddr(), id, sidePixels, img.nativeObj, borderBits);
return;
}
//javadoc: drawMarker(dictionary, id, sidePixels, img)
public static void drawMarker(Dictionary dictionary, int id, int sidePixels, Mat img)
{
drawMarker_1(dictionary.getNativeObjAddr(), id, sidePixels, img.nativeObj);
return;
}
//
// C++: void cv::aruco::drawPlanarBoard(Ptr_Board board, Size outSize, Mat& img, int marginSize = 0, int borderBits = 1)
//
//javadoc: drawPlanarBoard(board, outSize, img, marginSize, borderBits)
public static void drawPlanarBoard(Board board, Size outSize, Mat img, int marginSize, int borderBits)
{
drawPlanarBoard_0(board.getNativeObjAddr(), outSize.width, outSize.height, img.nativeObj, marginSize, borderBits);
return;
}
//javadoc: drawPlanarBoard(board, outSize, img, marginSize)
public static void drawPlanarBoard(Board board, Size outSize, Mat img, int marginSize)
{
drawPlanarBoard_1(board.getNativeObjAddr(), outSize.width, outSize.height, img.nativeObj, marginSize);
return;
}
//javadoc: drawPlanarBoard(board, outSize, img)
public static void drawPlanarBoard(Board board, Size outSize, Mat img)
{
drawPlanarBoard_2(board.getNativeObjAddr(), outSize.width, outSize.height, img.nativeObj);
return;
}
//
// C++: void cv::aruco::estimatePoseSingleMarkers(vector_Mat corners, float markerLength, Mat cameraMatrix, Mat distCoeffs, Mat& rvecs, Mat& tvecs, Mat& _objPoints = Mat())
//
//javadoc: estimatePoseSingleMarkers(corners, markerLength, cameraMatrix, distCoeffs, rvecs, tvecs, _objPoints)
public static void estimatePoseSingleMarkers(List<Mat> corners, float markerLength, Mat cameraMatrix, Mat distCoeffs, Mat rvecs, Mat tvecs, Mat _objPoints)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
estimatePoseSingleMarkers_0(corners_mat.nativeObj, markerLength, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs.nativeObj, tvecs.nativeObj, _objPoints.nativeObj);
return;
}
//javadoc: estimatePoseSingleMarkers(corners, markerLength, cameraMatrix, distCoeffs, rvecs, tvecs)
public static void estimatePoseSingleMarkers(List<Mat> corners, float markerLength, Mat cameraMatrix, Mat distCoeffs, Mat rvecs, Mat tvecs)
{
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
estimatePoseSingleMarkers_1(corners_mat.nativeObj, markerLength, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs.nativeObj, tvecs.nativeObj);
return;
}
//
// C++: void cv::aruco::getBoardObjectAndImagePoints(Ptr_Board board, vector_Mat detectedCorners, Mat detectedIds, Mat& objPoints, Mat& imgPoints)
//
//javadoc: getBoardObjectAndImagePoints(board, detectedCorners, detectedIds, objPoints, imgPoints)
public static void getBoardObjectAndImagePoints(Board board, List<Mat> detectedCorners, Mat detectedIds, Mat objPoints, Mat imgPoints)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
getBoardObjectAndImagePoints_0(board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, objPoints.nativeObj, imgPoints.nativeObj);
return;
}
//
// C++: void cv::aruco::refineDetectedMarkers(Mat image, Ptr_Board board, vector_Mat& detectedCorners, Mat& detectedIds, vector_Mat& rejectedCorners, Mat cameraMatrix = Mat(), Mat distCoeffs = Mat(), float minRepDistance = 10.f, float errorCorrectionRate = 3.f, bool checkAllOrders = true, Mat& recoveredIdxs = Mat(), Ptr_DetectorParameters parameters = DetectorParameters::create())
//
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners, cameraMatrix, distCoeffs, minRepDistance, errorCorrectionRate, checkAllOrders, recoveredIdxs, parameters)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners, Mat cameraMatrix, Mat distCoeffs, float minRepDistance, float errorCorrectionRate, boolean checkAllOrders, Mat recoveredIdxs, DetectorParameters parameters)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_0(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj, minRepDistance, errorCorrectionRate, checkAllOrders, recoveredIdxs.nativeObj, parameters.getNativeObjAddr());
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners, cameraMatrix, distCoeffs, minRepDistance, errorCorrectionRate, checkAllOrders, recoveredIdxs)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners, Mat cameraMatrix, Mat distCoeffs, float minRepDistance, float errorCorrectionRate, boolean checkAllOrders, Mat recoveredIdxs)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_1(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj, minRepDistance, errorCorrectionRate, checkAllOrders, recoveredIdxs.nativeObj);
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners, cameraMatrix, distCoeffs, minRepDistance, errorCorrectionRate, checkAllOrders)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners, Mat cameraMatrix, Mat distCoeffs, float minRepDistance, float errorCorrectionRate, boolean checkAllOrders)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_2(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj, minRepDistance, errorCorrectionRate, checkAllOrders);
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners, cameraMatrix, distCoeffs, minRepDistance, errorCorrectionRate)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners, Mat cameraMatrix, Mat distCoeffs, float minRepDistance, float errorCorrectionRate)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_3(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj, minRepDistance, errorCorrectionRate);
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners, cameraMatrix, distCoeffs, minRepDistance)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners, Mat cameraMatrix, Mat distCoeffs, float minRepDistance)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_4(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj, minRepDistance);
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners, cameraMatrix, distCoeffs)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners, Mat cameraMatrix, Mat distCoeffs)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_5(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj);
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners, cameraMatrix)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners, Mat cameraMatrix)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_6(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj, cameraMatrix.nativeObj);
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
//javadoc: refineDetectedMarkers(image, board, detectedCorners, detectedIds, rejectedCorners)
public static void refineDetectedMarkers(Mat image, Board board, List<Mat> detectedCorners, Mat detectedIds, List<Mat> rejectedCorners)
{
Mat detectedCorners_mat = Converters.vector_Mat_to_Mat(detectedCorners);
Mat rejectedCorners_mat = Converters.vector_Mat_to_Mat(rejectedCorners);
refineDetectedMarkers_7(image.nativeObj, board.getNativeObjAddr(), detectedCorners_mat.nativeObj, detectedIds.nativeObj, rejectedCorners_mat.nativeObj);
Converters.Mat_to_vector_Mat(detectedCorners_mat, detectedCorners);
detectedCorners_mat.release();
Converters.Mat_to_vector_Mat(rejectedCorners_mat, rejectedCorners);
rejectedCorners_mat.release();
return;
}
// C++: Ptr_Dictionary cv::aruco::generateCustomDictionary(int nMarkers, int markerSize, Ptr_Dictionary baseDictionary, int randomSeed = 0)
private static native long custom_dictionary_from_0(int nMarkers, int markerSize, long baseDictionary_nativeObj, int randomSeed);
private static native long custom_dictionary_from_1(int nMarkers, int markerSize, long baseDictionary_nativeObj);
// C++: Ptr_Dictionary cv::aruco::generateCustomDictionary(int nMarkers, int markerSize, int randomSeed = 0)
private static native long custom_dictionary_0(int nMarkers, int markerSize, int randomSeed);
private static native long custom_dictionary_1(int nMarkers, int markerSize);
// C++: Ptr_Dictionary cv::aruco::getPredefinedDictionary(int dict)
private static native long getPredefinedDictionary_0(int dict);
// C++: bool cv::aruco::estimatePoseCharucoBoard(Mat charucoCorners, Mat charucoIds, Ptr_CharucoBoard board, Mat cameraMatrix, Mat distCoeffs, Mat& rvec, Mat& tvec, bool useExtrinsicGuess = false)
private static native boolean estimatePoseCharucoBoard_0(long charucoCorners_nativeObj, long charucoIds_nativeObj, long board_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvec_nativeObj, long tvec_nativeObj, boolean useExtrinsicGuess);
private static native boolean estimatePoseCharucoBoard_1(long charucoCorners_nativeObj, long charucoIds_nativeObj, long board_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvec_nativeObj, long tvec_nativeObj);
// C++: double cv::aruco::calibrateCameraAruco(vector_Mat corners, Mat ids, Mat counter, Ptr_Board board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs, vector_Mat& tvecs, Mat& stdDeviationsIntrinsics, Mat& stdDeviationsExtrinsics, Mat& perViewErrors, int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
private static native double calibrateCameraArucoExtended_0(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, long stdDeviationsIntrinsics_nativeObj, long stdDeviationsExtrinsics_nativeObj, long perViewErrors_nativeObj, int flags, int criteria_type, int criteria_maxCount, double criteria_epsilon);
private static native double calibrateCameraArucoExtended_1(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, long stdDeviationsIntrinsics_nativeObj, long stdDeviationsExtrinsics_nativeObj, long perViewErrors_nativeObj, int flags);
private static native double calibrateCameraArucoExtended_2(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, long stdDeviationsIntrinsics_nativeObj, long stdDeviationsExtrinsics_nativeObj, long perViewErrors_nativeObj);
// C++: double cv::aruco::calibrateCameraAruco(vector_Mat corners, Mat ids, Mat counter, Ptr_Board board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs = vector_Mat(), vector_Mat& tvecs = vector_Mat(), int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
private static native double calibrateCameraAruco_0(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, int flags, int criteria_type, int criteria_maxCount, double criteria_epsilon);
private static native double calibrateCameraAruco_1(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, int flags);
private static native double calibrateCameraAruco_2(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj);
private static native double calibrateCameraAruco_3(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj);
private static native double calibrateCameraAruco_4(long corners_mat_nativeObj, long ids_nativeObj, long counter_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj);
// C++: double cv::aruco::calibrateCameraCharuco(vector_Mat charucoCorners, vector_Mat charucoIds, Ptr_CharucoBoard board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs, vector_Mat& tvecs, Mat& stdDeviationsIntrinsics, Mat& stdDeviationsExtrinsics, Mat& perViewErrors, int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
private static native double calibrateCameraCharucoExtended_0(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, long stdDeviationsIntrinsics_nativeObj, long stdDeviationsExtrinsics_nativeObj, long perViewErrors_nativeObj, int flags, int criteria_type, int criteria_maxCount, double criteria_epsilon);
private static native double calibrateCameraCharucoExtended_1(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, long stdDeviationsIntrinsics_nativeObj, long stdDeviationsExtrinsics_nativeObj, long perViewErrors_nativeObj, int flags);
private static native double calibrateCameraCharucoExtended_2(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, long stdDeviationsIntrinsics_nativeObj, long stdDeviationsExtrinsics_nativeObj, long perViewErrors_nativeObj);
// C++: double cv::aruco::calibrateCameraCharuco(vector_Mat charucoCorners, vector_Mat charucoIds, Ptr_CharucoBoard board, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs, vector_Mat& rvecs = vector_Mat(), vector_Mat& tvecs = vector_Mat(), int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON))
private static native double calibrateCameraCharuco_0(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, int flags, int criteria_type, int criteria_maxCount, double criteria_epsilon);
private static native double calibrateCameraCharuco_1(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj, int flags);
private static native double calibrateCameraCharuco_2(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj, long tvecs_mat_nativeObj);
private static native double calibrateCameraCharuco_3(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_mat_nativeObj);
private static native double calibrateCameraCharuco_4(long charucoCorners_mat_nativeObj, long charucoIds_mat_nativeObj, long board_nativeObj, double imageSize_width, double imageSize_height, long cameraMatrix_nativeObj, long distCoeffs_nativeObj);
// C++: int cv::aruco::estimatePoseBoard(vector_Mat corners, Mat ids, Ptr_Board board, Mat cameraMatrix, Mat distCoeffs, Mat& rvec, Mat& tvec, bool useExtrinsicGuess = false)
private static native int estimatePoseBoard_0(long corners_mat_nativeObj, long ids_nativeObj, long board_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvec_nativeObj, long tvec_nativeObj, boolean useExtrinsicGuess);
private static native int estimatePoseBoard_1(long corners_mat_nativeObj, long ids_nativeObj, long board_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvec_nativeObj, long tvec_nativeObj);
// C++: int cv::aruco::interpolateCornersCharuco(vector_Mat markerCorners, Mat markerIds, Mat image, Ptr_CharucoBoard board, Mat& charucoCorners, Mat& charucoIds, Mat cameraMatrix = Mat(), Mat distCoeffs = Mat(), int minMarkers = 2)
private static native int interpolateCornersCharuco_0(long markerCorners_mat_nativeObj, long markerIds_nativeObj, long image_nativeObj, long board_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, int minMarkers);
private static native int interpolateCornersCharuco_1(long markerCorners_mat_nativeObj, long markerIds_nativeObj, long image_nativeObj, long board_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj);
private static native int interpolateCornersCharuco_2(long markerCorners_mat_nativeObj, long markerIds_nativeObj, long image_nativeObj, long board_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj, long cameraMatrix_nativeObj);
private static native int interpolateCornersCharuco_3(long markerCorners_mat_nativeObj, long markerIds_nativeObj, long image_nativeObj, long board_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj);
// C++: void cv::aruco::detectCharucoDiamond(Mat image, vector_Mat markerCorners, Mat markerIds, float squareMarkerLengthRate, vector_Mat& diamondCorners, Mat& diamondIds, Mat cameraMatrix = Mat(), Mat distCoeffs = Mat())
private static native void detectCharucoDiamond_0(long image_nativeObj, long markerCorners_mat_nativeObj, long markerIds_nativeObj, float squareMarkerLengthRate, long diamondCorners_mat_nativeObj, long diamondIds_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj);
private static native void detectCharucoDiamond_1(long image_nativeObj, long markerCorners_mat_nativeObj, long markerIds_nativeObj, float squareMarkerLengthRate, long diamondCorners_mat_nativeObj, long diamondIds_nativeObj, long cameraMatrix_nativeObj);
private static native void detectCharucoDiamond_2(long image_nativeObj, long markerCorners_mat_nativeObj, long markerIds_nativeObj, float squareMarkerLengthRate, long diamondCorners_mat_nativeObj, long diamondIds_nativeObj);
// C++: void cv::aruco::detectMarkers(Mat image, Ptr_Dictionary dictionary, vector_Mat& corners, Mat& ids, Ptr_DetectorParameters parameters = DetectorParameters::create(), vector_Mat& rejectedImgPoints = vector_Mat(), Mat cameraMatrix = Mat(), Mat distCoeff = Mat())
private static native void detectMarkers_0(long image_nativeObj, long dictionary_nativeObj, long corners_mat_nativeObj, long ids_nativeObj, long parameters_nativeObj, long rejectedImgPoints_mat_nativeObj, long cameraMatrix_nativeObj, long distCoeff_nativeObj);
private static native void detectMarkers_1(long image_nativeObj, long dictionary_nativeObj, long corners_mat_nativeObj, long ids_nativeObj, long parameters_nativeObj, long rejectedImgPoints_mat_nativeObj, long cameraMatrix_nativeObj);
private static native void detectMarkers_2(long image_nativeObj, long dictionary_nativeObj, long corners_mat_nativeObj, long ids_nativeObj, long parameters_nativeObj, long rejectedImgPoints_mat_nativeObj);
private static native void detectMarkers_3(long image_nativeObj, long dictionary_nativeObj, long corners_mat_nativeObj, long ids_nativeObj, long parameters_nativeObj);
private static native void detectMarkers_4(long image_nativeObj, long dictionary_nativeObj, long corners_mat_nativeObj, long ids_nativeObj);
// C++: void cv::aruco::drawAxis(Mat& image, Mat cameraMatrix, Mat distCoeffs, Mat rvec, Mat tvec, float length)
private static native void drawAxis_0(long image_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvec_nativeObj, long tvec_nativeObj, float length);
// C++: void cv::aruco::drawDetectedCornersCharuco(Mat& image, Mat charucoCorners, Mat charucoIds = Mat(), Scalar cornerColor = Scalar(255, 0, 0))
private static native void drawDetectedCornersCharuco_0(long image_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj, double cornerColor_val0, double cornerColor_val1, double cornerColor_val2, double cornerColor_val3);
private static native void drawDetectedCornersCharuco_1(long image_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj);
private static native void drawDetectedCornersCharuco_2(long image_nativeObj, long charucoCorners_nativeObj);
// C++: void cv::aruco::drawDetectedDiamonds(Mat& image, vector_Mat diamondCorners, Mat diamondIds = Mat(), Scalar borderColor = Scalar(0, 0, 255))
private static native void drawDetectedDiamonds_0(long image_nativeObj, long diamondCorners_mat_nativeObj, long diamondIds_nativeObj, double borderColor_val0, double borderColor_val1, double borderColor_val2, double borderColor_val3);
private static native void drawDetectedDiamonds_1(long image_nativeObj, long diamondCorners_mat_nativeObj, long diamondIds_nativeObj);
private static native void drawDetectedDiamonds_2(long image_nativeObj, long diamondCorners_mat_nativeObj);
// C++: void cv::aruco::drawDetectedMarkers(Mat& image, vector_Mat corners, Mat ids = Mat(), Scalar borderColor = Scalar(0, 255, 0))
private static native void drawDetectedMarkers_0(long image_nativeObj, long corners_mat_nativeObj, long ids_nativeObj, double borderColor_val0, double borderColor_val1, double borderColor_val2, double borderColor_val3);
private static native void drawDetectedMarkers_1(long image_nativeObj, long corners_mat_nativeObj, long ids_nativeObj);
private static native void drawDetectedMarkers_2(long image_nativeObj, long corners_mat_nativeObj);
// C++: void cv::aruco::drawMarker(Ptr_Dictionary dictionary, int id, int sidePixels, Mat& img, int borderBits = 1)
private static native void drawMarker_0(long dictionary_nativeObj, int id, int sidePixels, long img_nativeObj, int borderBits);
private static native void drawMarker_1(long dictionary_nativeObj, int id, int sidePixels, long img_nativeObj);
// C++: void cv::aruco::drawPlanarBoard(Ptr_Board board, Size outSize, Mat& img, int marginSize = 0, int borderBits = 1)
private static native void drawPlanarBoard_0(long board_nativeObj, double outSize_width, double outSize_height, long img_nativeObj, int marginSize, int borderBits);
private static native void drawPlanarBoard_1(long board_nativeObj, double outSize_width, double outSize_height, long img_nativeObj, int marginSize);
private static native void drawPlanarBoard_2(long board_nativeObj, double outSize_width, double outSize_height, long img_nativeObj);
// C++: void cv::aruco::estimatePoseSingleMarkers(vector_Mat corners, float markerLength, Mat cameraMatrix, Mat distCoeffs, Mat& rvecs, Mat& tvecs, Mat& _objPoints = Mat())
private static native void estimatePoseSingleMarkers_0(long corners_mat_nativeObj, float markerLength, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_nativeObj, long tvecs_nativeObj, long _objPoints_nativeObj);
private static native void estimatePoseSingleMarkers_1(long corners_mat_nativeObj, float markerLength, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, long rvecs_nativeObj, long tvecs_nativeObj);
// C++: void cv::aruco::getBoardObjectAndImagePoints(Ptr_Board board, vector_Mat detectedCorners, Mat detectedIds, Mat& objPoints, Mat& imgPoints)
private static native void getBoardObjectAndImagePoints_0(long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long objPoints_nativeObj, long imgPoints_nativeObj);
// C++: void cv::aruco::refineDetectedMarkers(Mat image, Ptr_Board board, vector_Mat& detectedCorners, Mat& detectedIds, vector_Mat& rejectedCorners, Mat cameraMatrix = Mat(), Mat distCoeffs = Mat(), float minRepDistance = 10.f, float errorCorrectionRate = 3.f, bool checkAllOrders = true, Mat& recoveredIdxs = Mat(), Ptr_DetectorParameters parameters = DetectorParameters::create())
private static native void refineDetectedMarkers_0(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, float minRepDistance, float errorCorrectionRate, boolean checkAllOrders, long recoveredIdxs_nativeObj, long parameters_nativeObj);
private static native void refineDetectedMarkers_1(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, float minRepDistance, float errorCorrectionRate, boolean checkAllOrders, long recoveredIdxs_nativeObj);
private static native void refineDetectedMarkers_2(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, float minRepDistance, float errorCorrectionRate, boolean checkAllOrders);
private static native void refineDetectedMarkers_3(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, float minRepDistance, float errorCorrectionRate);
private static native void refineDetectedMarkers_4(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj, float minRepDistance);
private static native void refineDetectedMarkers_5(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj, long cameraMatrix_nativeObj, long distCoeffs_nativeObj);
private static native void refineDetectedMarkers_6(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj, long cameraMatrix_nativeObj);
private static native void refineDetectedMarkers_7(long image_nativeObj, long board_nativeObj, long detectedCorners_mat_nativeObj, long detectedIds_nativeObj, long rejectedCorners_mat_nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.aruco;
import java.util.ArrayList;
import java.util.List;
import org.opencv.aruco.Board;
import org.opencv.aruco.Dictionary;
import org.opencv.core.Mat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfPoint3f;
import org.opencv.utils.Converters;
// C++: class Board
//javadoc: Board
public class Board {
protected final long nativeObj;
protected Board(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static Board __fromPtr__(long addr) { return new Board(addr); }
//
// C++: static Ptr_Board cv::aruco::Board::create(vector_Mat objPoints, Ptr_Dictionary dictionary, Mat ids)
//
//javadoc: Board::create(objPoints, dictionary, ids)
public static Board create(List<Mat> objPoints, Dictionary dictionary, Mat ids)
{
Mat objPoints_mat = Converters.vector_Mat_to_Mat(objPoints);
Board retVal = Board.__fromPtr__(create_0(objPoints_mat.nativeObj, dictionary.getNativeObjAddr(), ids.nativeObj));
return retVal;
}
//
// C++: vector_vector_Point3f Board::objPoints
//
//javadoc: Board::get_objPoints()
public List<MatOfPoint3f> get_objPoints()
{
List<MatOfPoint3f> retVal = new ArrayList<MatOfPoint3f>();
Mat retValMat = new Mat(get_objPoints_0(nativeObj));
Converters.Mat_to_vector_vector_Point3f(retValMat, retVal);
return retVal;
}
//
// C++: Ptr_Dictionary Board::dictionary
//
//javadoc: Board::get_dictionary()
public Dictionary get_dictionary()
{
Dictionary retVal = Dictionary.__fromPtr__(get_dictionary_0(nativeObj));
return retVal;
}
//
// C++: vector_int Board::ids
//
//javadoc: Board::get_ids()
public MatOfInt get_ids()
{
MatOfInt retVal = MatOfInt.fromNativeAddr(get_ids_0(nativeObj));
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_Board cv::aruco::Board::create(vector_Mat objPoints, Ptr_Dictionary dictionary, Mat ids)
private static native long create_0(long objPoints_mat_nativeObj, long dictionary_nativeObj, long ids_nativeObj);
// C++: vector_vector_Point3f Board::objPoints
private static native long get_objPoints_0(long nativeObj);
// C++: Ptr_Dictionary Board::dictionary
private static native long get_dictionary_0(long nativeObj);
// C++: vector_int Board::ids
private static native long get_ids_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.aruco;
import java.util.ArrayList;
import java.util.List;
import org.opencv.aruco.Board;
import org.opencv.aruco.CharucoBoard;
import org.opencv.aruco.Dictionary;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint3f;
import org.opencv.core.Size;
import org.opencv.utils.Converters;
// C++: class CharucoBoard
//javadoc: CharucoBoard
public class CharucoBoard extends Board {
protected CharucoBoard(long addr) { super(addr); }
// internal usage only
public static CharucoBoard __fromPtr__(long addr) { return new CharucoBoard(addr); }
//
// C++: static Ptr_CharucoBoard cv::aruco::CharucoBoard::create(int squaresX, int squaresY, float squareLength, float markerLength, Ptr_Dictionary dictionary)
//
//javadoc: CharucoBoard::create(squaresX, squaresY, squareLength, markerLength, dictionary)
public static CharucoBoard create(int squaresX, int squaresY, float squareLength, float markerLength, Dictionary dictionary)
{
CharucoBoard retVal = CharucoBoard.__fromPtr__(create_0(squaresX, squaresY, squareLength, markerLength, dictionary.getNativeObjAddr()));
return retVal;
}
//
// C++: Size cv::aruco::CharucoBoard::getChessboardSize()
//
//javadoc: CharucoBoard::getChessboardSize()
public Size getChessboardSize()
{
Size retVal = new Size(getChessboardSize_0(nativeObj));
return retVal;
}
//
// C++: float cv::aruco::CharucoBoard::getMarkerLength()
//
//javadoc: CharucoBoard::getMarkerLength()
public float getMarkerLength()
{
float retVal = getMarkerLength_0(nativeObj);
return retVal;
}
//
// C++: float cv::aruco::CharucoBoard::getSquareLength()
//
//javadoc: CharucoBoard::getSquareLength()
public float getSquareLength()
{
float retVal = getSquareLength_0(nativeObj);
return retVal;
}
//
// C++: void cv::aruco::CharucoBoard::draw(Size outSize, Mat& img, int marginSize = 0, int borderBits = 1)
//
//javadoc: CharucoBoard::draw(outSize, img, marginSize, borderBits)
public void draw(Size outSize, Mat img, int marginSize, int borderBits)
{
draw_0(nativeObj, outSize.width, outSize.height, img.nativeObj, marginSize, borderBits);
return;
}
//javadoc: CharucoBoard::draw(outSize, img, marginSize)
public void draw(Size outSize, Mat img, int marginSize)
{
draw_1(nativeObj, outSize.width, outSize.height, img.nativeObj, marginSize);
return;
}
//javadoc: CharucoBoard::draw(outSize, img)
public void draw(Size outSize, Mat img)
{
draw_2(nativeObj, outSize.width, outSize.height, img.nativeObj);
return;
}
//
// C++: vector_Point3f CharucoBoard::chessboardCorners
//
//javadoc: CharucoBoard::get_chessboardCorners()
public MatOfPoint3f get_chessboardCorners()
{
MatOfPoint3f retVal = MatOfPoint3f.fromNativeAddr(get_chessboardCorners_0(nativeObj));
return retVal;
}
//
// C++: vector_vector_int CharucoBoard::nearestMarkerIdx
//
// Return type 'vector_vector_int' is not supported, skipping the function
//
// C++: vector_vector_int CharucoBoard::nearestMarkerCorners
//
// Return type 'vector_vector_int' is not supported, skipping the function
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_CharucoBoard cv::aruco::CharucoBoard::create(int squaresX, int squaresY, float squareLength, float markerLength, Ptr_Dictionary dictionary)
private static native long create_0(int squaresX, int squaresY, float squareLength, float markerLength, long dictionary_nativeObj);
// C++: Size cv::aruco::CharucoBoard::getChessboardSize()
private static native double[] getChessboardSize_0(long nativeObj);
// C++: float cv::aruco::CharucoBoard::getMarkerLength()
private static native float getMarkerLength_0(long nativeObj);
// C++: float cv::aruco::CharucoBoard::getSquareLength()
private static native float getSquareLength_0(long nativeObj);
// C++: void cv::aruco::CharucoBoard::draw(Size outSize, Mat& img, int marginSize = 0, int borderBits = 1)
private static native void draw_0(long nativeObj, double outSize_width, double outSize_height, long img_nativeObj, int marginSize, int borderBits);
private static native void draw_1(long nativeObj, double outSize_width, double outSize_height, long img_nativeObj, int marginSize);
private static native void draw_2(long nativeObj, double outSize_width, double outSize_height, long img_nativeObj);
// C++: vector_Point3f CharucoBoard::chessboardCorners
private static native long get_chessboardCorners_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.aruco;
import org.opencv.aruco.Dictionary;
import org.opencv.core.Mat;
// C++: class Dictionary
//javadoc: Dictionary
public class Dictionary {
protected final long nativeObj;
protected Dictionary(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static Dictionary __fromPtr__(long addr) { return new Dictionary(addr); }
//
// C++: static Mat cv::aruco::Dictionary::getBitsFromByteList(Mat byteList, int markerSize)
//
//javadoc: Dictionary::getBitsFromByteList(byteList, markerSize)
public static Mat getBitsFromByteList(Mat byteList, int markerSize)
{
Mat retVal = new Mat(getBitsFromByteList_0(byteList.nativeObj, markerSize));
return retVal;
}
//
// C++: static Mat cv::aruco::Dictionary::getByteListFromBits(Mat bits)
//
//javadoc: Dictionary::getByteListFromBits(bits)
public static Mat getByteListFromBits(Mat bits)
{
Mat retVal = new Mat(getByteListFromBits_0(bits.nativeObj));
return retVal;
}
//
// C++: static Ptr_Dictionary cv::aruco::Dictionary::create(int nMarkers, int markerSize, Ptr_Dictionary baseDictionary, int randomSeed = 0)
//
//javadoc: Dictionary::create_from(nMarkers, markerSize, baseDictionary, randomSeed)
public static Dictionary create_from(int nMarkers, int markerSize, Dictionary baseDictionary, int randomSeed)
{
Dictionary retVal = Dictionary.__fromPtr__(create_from_0(nMarkers, markerSize, baseDictionary.getNativeObjAddr(), randomSeed));
return retVal;
}
//javadoc: Dictionary::create_from(nMarkers, markerSize, baseDictionary)
public static Dictionary create_from(int nMarkers, int markerSize, Dictionary baseDictionary)
{
Dictionary retVal = Dictionary.__fromPtr__(create_from_1(nMarkers, markerSize, baseDictionary.getNativeObjAddr()));
return retVal;
}
//
// C++: static Ptr_Dictionary cv::aruco::Dictionary::create(int nMarkers, int markerSize, int randomSeed = 0)
//
//javadoc: Dictionary::create(nMarkers, markerSize, randomSeed)
public static Dictionary create(int nMarkers, int markerSize, int randomSeed)
{
Dictionary retVal = Dictionary.__fromPtr__(create_0(nMarkers, markerSize, randomSeed));
return retVal;
}
//javadoc: Dictionary::create(nMarkers, markerSize)
public static Dictionary create(int nMarkers, int markerSize)
{
Dictionary retVal = Dictionary.__fromPtr__(create_1(nMarkers, markerSize));
return retVal;
}
//
// C++: static Ptr_Dictionary cv::aruco::Dictionary::get(int dict)
//
//javadoc: Dictionary::get(dict)
public static Dictionary get(int dict)
{
Dictionary retVal = Dictionary.__fromPtr__(get_0(dict));
return retVal;
}
//
// C++: void cv::aruco::Dictionary::drawMarker(int id, int sidePixels, Mat& _img, int borderBits = 1)
//
//javadoc: Dictionary::drawMarker(id, sidePixels, _img, borderBits)
public void drawMarker(int id, int sidePixels, Mat _img, int borderBits)
{
drawMarker_0(nativeObj, id, sidePixels, _img.nativeObj, borderBits);
return;
}
//javadoc: Dictionary::drawMarker(id, sidePixels, _img)
public void drawMarker(int id, int sidePixels, Mat _img)
{
drawMarker_1(nativeObj, id, sidePixels, _img.nativeObj);
return;
}
//
// C++: Mat Dictionary::bytesList
//
//javadoc: Dictionary::get_bytesList()
public Mat get_bytesList()
{
Mat retVal = new Mat(get_bytesList_0(nativeObj));
return retVal;
}
//
// C++: void Dictionary::bytesList
//
//javadoc: Dictionary::set_bytesList(bytesList)
public void set_bytesList(Mat bytesList)
{
set_bytesList_0(nativeObj, bytesList.nativeObj);
return;
}
//
// C++: int Dictionary::markerSize
//
//javadoc: Dictionary::get_markerSize()
public int get_markerSize()
{
int retVal = get_markerSize_0(nativeObj);
return retVal;
}
//
// C++: void Dictionary::markerSize
//
//javadoc: Dictionary::set_markerSize(markerSize)
public void set_markerSize(int markerSize)
{
set_markerSize_0(nativeObj, markerSize);
return;
}
//
// C++: int Dictionary::maxCorrectionBits
//
//javadoc: Dictionary::get_maxCorrectionBits()
public int get_maxCorrectionBits()
{
int retVal = get_maxCorrectionBits_0(nativeObj);
return retVal;
}
//
// C++: void Dictionary::maxCorrectionBits
//
//javadoc: Dictionary::set_maxCorrectionBits(maxCorrectionBits)
public void set_maxCorrectionBits(int maxCorrectionBits)
{
set_maxCorrectionBits_0(nativeObj, maxCorrectionBits);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Mat cv::aruco::Dictionary::getBitsFromByteList(Mat byteList, int markerSize)
private static native long getBitsFromByteList_0(long byteList_nativeObj, int markerSize);
// C++: static Mat cv::aruco::Dictionary::getByteListFromBits(Mat bits)
private static native long getByteListFromBits_0(long bits_nativeObj);
// C++: static Ptr_Dictionary cv::aruco::Dictionary::create(int nMarkers, int markerSize, Ptr_Dictionary baseDictionary, int randomSeed = 0)
private static native long create_from_0(int nMarkers, int markerSize, long baseDictionary_nativeObj, int randomSeed);
private static native long create_from_1(int nMarkers, int markerSize, long baseDictionary_nativeObj);
// C++: static Ptr_Dictionary cv::aruco::Dictionary::create(int nMarkers, int markerSize, int randomSeed = 0)
private static native long create_0(int nMarkers, int markerSize, int randomSeed);
private static native long create_1(int nMarkers, int markerSize);
// C++: static Ptr_Dictionary cv::aruco::Dictionary::get(int dict)
private static native long get_0(int dict);
// C++: void cv::aruco::Dictionary::drawMarker(int id, int sidePixels, Mat& _img, int borderBits = 1)
private static native void drawMarker_0(long nativeObj, int id, int sidePixels, long _img_nativeObj, int borderBits);
private static native void drawMarker_1(long nativeObj, int id, int sidePixels, long _img_nativeObj);
// C++: Mat Dictionary::bytesList
private static native long get_bytesList_0(long nativeObj);
// C++: void Dictionary::bytesList
private static native void set_bytesList_0(long nativeObj, long bytesList_nativeObj);
// C++: int Dictionary::markerSize
private static native int get_markerSize_0(long nativeObj);
// C++: void Dictionary::markerSize
private static native void set_markerSize_0(long nativeObj, int markerSize);
// C++: int Dictionary::maxCorrectionBits
private static native int get_maxCorrectionBits_0(long nativeObj);
// C++: void Dictionary::maxCorrectionBits
private static native void set_maxCorrectionBits_0(long nativeObj, int maxCorrectionBits);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.aruco;
import org.opencv.aruco.Board;
import org.opencv.aruco.Dictionary;
import org.opencv.aruco.GridBoard;
import org.opencv.core.Mat;
import org.opencv.core.Size;
// C++: class GridBoard
//javadoc: GridBoard
public class GridBoard extends Board {
protected GridBoard(long addr) { super(addr); }
// internal usage only
public static GridBoard __fromPtr__(long addr) { return new GridBoard(addr); }
//
// C++: static Ptr_GridBoard cv::aruco::GridBoard::create(int markersX, int markersY, float markerLength, float markerSeparation, Ptr_Dictionary dictionary, int firstMarker = 0)
//
//javadoc: GridBoard::create(markersX, markersY, markerLength, markerSeparation, dictionary, firstMarker)
public static GridBoard create(int markersX, int markersY, float markerLength, float markerSeparation, Dictionary dictionary, int firstMarker)
{
GridBoard retVal = GridBoard.__fromPtr__(create_0(markersX, markersY, markerLength, markerSeparation, dictionary.getNativeObjAddr(), firstMarker));
return retVal;
}
//javadoc: GridBoard::create(markersX, markersY, markerLength, markerSeparation, dictionary)
public static GridBoard create(int markersX, int markersY, float markerLength, float markerSeparation, Dictionary dictionary)
{
GridBoard retVal = GridBoard.__fromPtr__(create_1(markersX, markersY, markerLength, markerSeparation, dictionary.getNativeObjAddr()));
return retVal;
}
//
// C++: Size cv::aruco::GridBoard::getGridSize()
//
//javadoc: GridBoard::getGridSize()
public Size getGridSize()
{
Size retVal = new Size(getGridSize_0(nativeObj));
return retVal;
}
//
// C++: float cv::aruco::GridBoard::getMarkerLength()
//
//javadoc: GridBoard::getMarkerLength()
public float getMarkerLength()
{
float retVal = getMarkerLength_0(nativeObj);
return retVal;
}
//
// C++: float cv::aruco::GridBoard::getMarkerSeparation()
//
//javadoc: GridBoard::getMarkerSeparation()
public float getMarkerSeparation()
{
float retVal = getMarkerSeparation_0(nativeObj);
return retVal;
}
//
// C++: void cv::aruco::GridBoard::draw(Size outSize, Mat& img, int marginSize = 0, int borderBits = 1)
//
//javadoc: GridBoard::draw(outSize, img, marginSize, borderBits)
public void draw(Size outSize, Mat img, int marginSize, int borderBits)
{
draw_0(nativeObj, outSize.width, outSize.height, img.nativeObj, marginSize, borderBits);
return;
}
//javadoc: GridBoard::draw(outSize, img, marginSize)
public void draw(Size outSize, Mat img, int marginSize)
{
draw_1(nativeObj, outSize.width, outSize.height, img.nativeObj, marginSize);
return;
}
//javadoc: GridBoard::draw(outSize, img)
public void draw(Size outSize, Mat img)
{
draw_2(nativeObj, outSize.width, outSize.height, img.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_GridBoard cv::aruco::GridBoard::create(int markersX, int markersY, float markerLength, float markerSeparation, Ptr_Dictionary dictionary, int firstMarker = 0)
private static native long create_0(int markersX, int markersY, float markerLength, float markerSeparation, long dictionary_nativeObj, int firstMarker);
private static native long create_1(int markersX, int markersY, float markerLength, float markerSeparation, long dictionary_nativeObj);
// C++: Size cv::aruco::GridBoard::getGridSize()
private static native double[] getGridSize_0(long nativeObj);
// C++: float cv::aruco::GridBoard::getMarkerLength()
private static native float getMarkerLength_0(long nativeObj);
// C++: float cv::aruco::GridBoard::getMarkerSeparation()
private static native float getMarkerSeparation_0(long nativeObj);
// C++: void cv::aruco::GridBoard::draw(Size outSize, Mat& img, int marginSize = 0, int borderBits = 1)
private static native void draw_0(long nativeObj, double outSize_width, double outSize_height, long img_nativeObj, int marginSize, int borderBits);
private static native void draw_1(long nativeObj, double outSize_width, double outSize_height, long img_nativeObj, int marginSize);
private static native void draw_2(long nativeObj, double outSize_width, double outSize_height, long img_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
import org.opencv.core.Mat;
import org.opencv.video.BackgroundSubtractor;
// C++: class BackgroundSubtractorCNT
//javadoc: BackgroundSubtractorCNT
public class BackgroundSubtractorCNT extends BackgroundSubtractor {
protected BackgroundSubtractorCNT(long addr) { super(addr); }
// internal usage only
public static BackgroundSubtractorCNT __fromPtr__(long addr) { return new BackgroundSubtractorCNT(addr); }
//
// C++: bool cv::bgsegm::BackgroundSubtractorCNT::getIsParallel()
//
//javadoc: BackgroundSubtractorCNT::getIsParallel()
public boolean getIsParallel()
{
boolean retVal = getIsParallel_0(nativeObj);
return retVal;
}
//
// C++: bool cv::bgsegm::BackgroundSubtractorCNT::getUseHistory()
//
//javadoc: BackgroundSubtractorCNT::getUseHistory()
public boolean getUseHistory()
{
boolean retVal = getUseHistory_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorCNT::getMaxPixelStability()
//
//javadoc: BackgroundSubtractorCNT::getMaxPixelStability()
public int getMaxPixelStability()
{
int retVal = getMaxPixelStability_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorCNT::getMinPixelStability()
//
//javadoc: BackgroundSubtractorCNT::getMinPixelStability()
public int getMinPixelStability()
{
int retVal = getMinPixelStability_0(nativeObj);
return retVal;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorCNT::apply(Mat image, Mat& fgmask, double learningRate = -1)
//
//javadoc: BackgroundSubtractorCNT::apply(image, fgmask, learningRate)
public void apply(Mat image, Mat fgmask, double learningRate)
{
apply_0(nativeObj, image.nativeObj, fgmask.nativeObj, learningRate);
return;
}
//javadoc: BackgroundSubtractorCNT::apply(image, fgmask)
public void apply(Mat image, Mat fgmask)
{
apply_1(nativeObj, image.nativeObj, fgmask.nativeObj);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorCNT::getBackgroundImage(Mat& backgroundImage)
//
//javadoc: BackgroundSubtractorCNT::getBackgroundImage(backgroundImage)
public void getBackgroundImage(Mat backgroundImage)
{
getBackgroundImage_0(nativeObj, backgroundImage.nativeObj);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setIsParallel(bool value)
//
//javadoc: BackgroundSubtractorCNT::setIsParallel(value)
public void setIsParallel(boolean value)
{
setIsParallel_0(nativeObj, value);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setMaxPixelStability(int value)
//
//javadoc: BackgroundSubtractorCNT::setMaxPixelStability(value)
public void setMaxPixelStability(int value)
{
setMaxPixelStability_0(nativeObj, value);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setMinPixelStability(int value)
//
//javadoc: BackgroundSubtractorCNT::setMinPixelStability(value)
public void setMinPixelStability(int value)
{
setMinPixelStability_0(nativeObj, value);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setUseHistory(bool value)
//
//javadoc: BackgroundSubtractorCNT::setUseHistory(value)
public void setUseHistory(boolean value)
{
setUseHistory_0(nativeObj, value);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: bool cv::bgsegm::BackgroundSubtractorCNT::getIsParallel()
private static native boolean getIsParallel_0(long nativeObj);
// C++: bool cv::bgsegm::BackgroundSubtractorCNT::getUseHistory()
private static native boolean getUseHistory_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorCNT::getMaxPixelStability()
private static native int getMaxPixelStability_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorCNT::getMinPixelStability()
private static native int getMinPixelStability_0(long nativeObj);
// C++: void cv::bgsegm::BackgroundSubtractorCNT::apply(Mat image, Mat& fgmask, double learningRate = -1)
private static native void apply_0(long nativeObj, long image_nativeObj, long fgmask_nativeObj, double learningRate);
private static native void apply_1(long nativeObj, long image_nativeObj, long fgmask_nativeObj);
// C++: void cv::bgsegm::BackgroundSubtractorCNT::getBackgroundImage(Mat& backgroundImage)
private static native void getBackgroundImage_0(long nativeObj, long backgroundImage_nativeObj);
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setIsParallel(bool value)
private static native void setIsParallel_0(long nativeObj, boolean value);
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setMaxPixelStability(int value)
private static native void setMaxPixelStability_0(long nativeObj, int value);
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setMinPixelStability(int value)
private static native void setMinPixelStability_0(long nativeObj, int value);
// C++: void cv::bgsegm::BackgroundSubtractorCNT::setUseHistory(bool value)
private static native void setUseHistory_0(long nativeObj, boolean value);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
import org.opencv.video.BackgroundSubtractor;
// C++: class BackgroundSubtractorGMG
//javadoc: BackgroundSubtractorGMG
public class BackgroundSubtractorGMG extends BackgroundSubtractor {
protected BackgroundSubtractorGMG(long addr) { super(addr); }
// internal usage only
public static BackgroundSubtractorGMG __fromPtr__(long addr) { return new BackgroundSubtractorGMG(addr); }
//
// C++: bool cv::bgsegm::BackgroundSubtractorGMG::getUpdateBackgroundModel()
//
//javadoc: BackgroundSubtractorGMG::getUpdateBackgroundModel()
public boolean getUpdateBackgroundModel()
{
boolean retVal = getUpdateBackgroundModel_0(nativeObj);
return retVal;
}
//
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getBackgroundPrior()
//
//javadoc: BackgroundSubtractorGMG::getBackgroundPrior()
public double getBackgroundPrior()
{
double retVal = getBackgroundPrior_0(nativeObj);
return retVal;
}
//
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getDecisionThreshold()
//
//javadoc: BackgroundSubtractorGMG::getDecisionThreshold()
public double getDecisionThreshold()
{
double retVal = getDecisionThreshold_0(nativeObj);
return retVal;
}
//
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getDefaultLearningRate()
//
//javadoc: BackgroundSubtractorGMG::getDefaultLearningRate()
public double getDefaultLearningRate()
{
double retVal = getDefaultLearningRate_0(nativeObj);
return retVal;
}
//
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getMaxVal()
//
//javadoc: BackgroundSubtractorGMG::getMaxVal()
public double getMaxVal()
{
double retVal = getMaxVal_0(nativeObj);
return retVal;
}
//
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getMinVal()
//
//javadoc: BackgroundSubtractorGMG::getMinVal()
public double getMinVal()
{
double retVal = getMinVal_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getMaxFeatures()
//
//javadoc: BackgroundSubtractorGMG::getMaxFeatures()
public int getMaxFeatures()
{
int retVal = getMaxFeatures_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getNumFrames()
//
//javadoc: BackgroundSubtractorGMG::getNumFrames()
public int getNumFrames()
{
int retVal = getNumFrames_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getQuantizationLevels()
//
//javadoc: BackgroundSubtractorGMG::getQuantizationLevels()
public int getQuantizationLevels()
{
int retVal = getQuantizationLevels_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getSmoothingRadius()
//
//javadoc: BackgroundSubtractorGMG::getSmoothingRadius()
public int getSmoothingRadius()
{
int retVal = getSmoothingRadius_0(nativeObj);
return retVal;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setBackgroundPrior(double bgprior)
//
//javadoc: BackgroundSubtractorGMG::setBackgroundPrior(bgprior)
public void setBackgroundPrior(double bgprior)
{
setBackgroundPrior_0(nativeObj, bgprior);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setDecisionThreshold(double thresh)
//
//javadoc: BackgroundSubtractorGMG::setDecisionThreshold(thresh)
public void setDecisionThreshold(double thresh)
{
setDecisionThreshold_0(nativeObj, thresh);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setDefaultLearningRate(double lr)
//
//javadoc: BackgroundSubtractorGMG::setDefaultLearningRate(lr)
public void setDefaultLearningRate(double lr)
{
setDefaultLearningRate_0(nativeObj, lr);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setMaxFeatures(int maxFeatures)
//
//javadoc: BackgroundSubtractorGMG::setMaxFeatures(maxFeatures)
public void setMaxFeatures(int maxFeatures)
{
setMaxFeatures_0(nativeObj, maxFeatures);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setMaxVal(double val)
//
//javadoc: BackgroundSubtractorGMG::setMaxVal(val)
public void setMaxVal(double val)
{
setMaxVal_0(nativeObj, val);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setMinVal(double val)
//
//javadoc: BackgroundSubtractorGMG::setMinVal(val)
public void setMinVal(double val)
{
setMinVal_0(nativeObj, val);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setNumFrames(int nframes)
//
//javadoc: BackgroundSubtractorGMG::setNumFrames(nframes)
public void setNumFrames(int nframes)
{
setNumFrames_0(nativeObj, nframes);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setQuantizationLevels(int nlevels)
//
//javadoc: BackgroundSubtractorGMG::setQuantizationLevels(nlevels)
public void setQuantizationLevels(int nlevels)
{
setQuantizationLevels_0(nativeObj, nlevels);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setSmoothingRadius(int radius)
//
//javadoc: BackgroundSubtractorGMG::setSmoothingRadius(radius)
public void setSmoothingRadius(int radius)
{
setSmoothingRadius_0(nativeObj, radius);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setUpdateBackgroundModel(bool update)
//
//javadoc: BackgroundSubtractorGMG::setUpdateBackgroundModel(update)
public void setUpdateBackgroundModel(boolean update)
{
setUpdateBackgroundModel_0(nativeObj, update);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: bool cv::bgsegm::BackgroundSubtractorGMG::getUpdateBackgroundModel()
private static native boolean getUpdateBackgroundModel_0(long nativeObj);
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getBackgroundPrior()
private static native double getBackgroundPrior_0(long nativeObj);
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getDecisionThreshold()
private static native double getDecisionThreshold_0(long nativeObj);
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getDefaultLearningRate()
private static native double getDefaultLearningRate_0(long nativeObj);
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getMaxVal()
private static native double getMaxVal_0(long nativeObj);
// C++: double cv::bgsegm::BackgroundSubtractorGMG::getMinVal()
private static native double getMinVal_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getMaxFeatures()
private static native int getMaxFeatures_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getNumFrames()
private static native int getNumFrames_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getQuantizationLevels()
private static native int getQuantizationLevels_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorGMG::getSmoothingRadius()
private static native int getSmoothingRadius_0(long nativeObj);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setBackgroundPrior(double bgprior)
private static native void setBackgroundPrior_0(long nativeObj, double bgprior);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setDecisionThreshold(double thresh)
private static native void setDecisionThreshold_0(long nativeObj, double thresh);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setDefaultLearningRate(double lr)
private static native void setDefaultLearningRate_0(long nativeObj, double lr);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setMaxFeatures(int maxFeatures)
private static native void setMaxFeatures_0(long nativeObj, int maxFeatures);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setMaxVal(double val)
private static native void setMaxVal_0(long nativeObj, double val);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setMinVal(double val)
private static native void setMinVal_0(long nativeObj, double val);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setNumFrames(int nframes)
private static native void setNumFrames_0(long nativeObj, int nframes);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setQuantizationLevels(int nlevels)
private static native void setQuantizationLevels_0(long nativeObj, int nlevels);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setSmoothingRadius(int radius)
private static native void setSmoothingRadius_0(long nativeObj, int radius);
// C++: void cv::bgsegm::BackgroundSubtractorGMG::setUpdateBackgroundModel(bool update)
private static native void setUpdateBackgroundModel_0(long nativeObj, boolean update);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
import org.opencv.core.Mat;
import org.opencv.video.BackgroundSubtractor;
// C++: class BackgroundSubtractorGSOC
//javadoc: BackgroundSubtractorGSOC
public class BackgroundSubtractorGSOC extends BackgroundSubtractor {
protected BackgroundSubtractorGSOC(long addr) { super(addr); }
// internal usage only
public static BackgroundSubtractorGSOC __fromPtr__(long addr) { return new BackgroundSubtractorGSOC(addr); }
//
// C++: void cv::bgsegm::BackgroundSubtractorGSOC::apply(Mat image, Mat& fgmask, double learningRate = -1)
//
//javadoc: BackgroundSubtractorGSOC::apply(image, fgmask, learningRate)
public void apply(Mat image, Mat fgmask, double learningRate)
{
apply_0(nativeObj, image.nativeObj, fgmask.nativeObj, learningRate);
return;
}
//javadoc: BackgroundSubtractorGSOC::apply(image, fgmask)
public void apply(Mat image, Mat fgmask)
{
apply_1(nativeObj, image.nativeObj, fgmask.nativeObj);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorGSOC::getBackgroundImage(Mat& backgroundImage)
//
//javadoc: BackgroundSubtractorGSOC::getBackgroundImage(backgroundImage)
public void getBackgroundImage(Mat backgroundImage)
{
getBackgroundImage_0(nativeObj, backgroundImage.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: void cv::bgsegm::BackgroundSubtractorGSOC::apply(Mat image, Mat& fgmask, double learningRate = -1)
private static native void apply_0(long nativeObj, long image_nativeObj, long fgmask_nativeObj, double learningRate);
private static native void apply_1(long nativeObj, long image_nativeObj, long fgmask_nativeObj);
// C++: void cv::bgsegm::BackgroundSubtractorGSOC::getBackgroundImage(Mat& backgroundImage)
private static native void getBackgroundImage_0(long nativeObj, long backgroundImage_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
import org.opencv.core.Mat;
import org.opencv.video.BackgroundSubtractor;
// C++: class BackgroundSubtractorLSBP
//javadoc: BackgroundSubtractorLSBP
public class BackgroundSubtractorLSBP extends BackgroundSubtractor {
protected BackgroundSubtractorLSBP(long addr) { super(addr); }
// internal usage only
public static BackgroundSubtractorLSBP __fromPtr__(long addr) { return new BackgroundSubtractorLSBP(addr); }
//
// C++: void cv::bgsegm::BackgroundSubtractorLSBP::apply(Mat image, Mat& fgmask, double learningRate = -1)
//
//javadoc: BackgroundSubtractorLSBP::apply(image, fgmask, learningRate)
public void apply(Mat image, Mat fgmask, double learningRate)
{
apply_0(nativeObj, image.nativeObj, fgmask.nativeObj, learningRate);
return;
}
//javadoc: BackgroundSubtractorLSBP::apply(image, fgmask)
public void apply(Mat image, Mat fgmask)
{
apply_1(nativeObj, image.nativeObj, fgmask.nativeObj);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorLSBP::getBackgroundImage(Mat& backgroundImage)
//
//javadoc: BackgroundSubtractorLSBP::getBackgroundImage(backgroundImage)
public void getBackgroundImage(Mat backgroundImage)
{
getBackgroundImage_0(nativeObj, backgroundImage.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: void cv::bgsegm::BackgroundSubtractorLSBP::apply(Mat image, Mat& fgmask, double learningRate = -1)
private static native void apply_0(long nativeObj, long image_nativeObj, long fgmask_nativeObj, double learningRate);
private static native void apply_1(long nativeObj, long image_nativeObj, long fgmask_nativeObj);
// C++: void cv::bgsegm::BackgroundSubtractorLSBP::getBackgroundImage(Mat& backgroundImage)
private static native void getBackgroundImage_0(long nativeObj, long backgroundImage_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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OpenCV/src/main/java/org/opencv/bgsegm/BackgroundSubtractorLSBPDesc.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
// C++: class BackgroundSubtractorLSBPDesc
//javadoc: BackgroundSubtractorLSBPDesc
public class BackgroundSubtractorLSBPDesc {
protected final long nativeObj;
protected BackgroundSubtractorLSBPDesc(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
// internal usage only
public static BackgroundSubtractorLSBPDesc __fromPtr__(long addr) { return new BackgroundSubtractorLSBPDesc(addr); }
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// native support for java finalize()
private static native void delete(long nativeObj);
}

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OpenCV/src/main/java/org/opencv/bgsegm/BackgroundSubtractorMOG.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
import org.opencv.video.BackgroundSubtractor;
// C++: class BackgroundSubtractorMOG
//javadoc: BackgroundSubtractorMOG
public class BackgroundSubtractorMOG extends BackgroundSubtractor {
protected BackgroundSubtractorMOG(long addr) { super(addr); }
// internal usage only
public static BackgroundSubtractorMOG __fromPtr__(long addr) { return new BackgroundSubtractorMOG(addr); }
//
// C++: double cv::bgsegm::BackgroundSubtractorMOG::getBackgroundRatio()
//
//javadoc: BackgroundSubtractorMOG::getBackgroundRatio()
public double getBackgroundRatio()
{
double retVal = getBackgroundRatio_0(nativeObj);
return retVal;
}
//
// C++: double cv::bgsegm::BackgroundSubtractorMOG::getNoiseSigma()
//
//javadoc: BackgroundSubtractorMOG::getNoiseSigma()
public double getNoiseSigma()
{
double retVal = getNoiseSigma_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorMOG::getHistory()
//
//javadoc: BackgroundSubtractorMOG::getHistory()
public int getHistory()
{
int retVal = getHistory_0(nativeObj);
return retVal;
}
//
// C++: int cv::bgsegm::BackgroundSubtractorMOG::getNMixtures()
//
//javadoc: BackgroundSubtractorMOG::getNMixtures()
public int getNMixtures()
{
int retVal = getNMixtures_0(nativeObj);
return retVal;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setBackgroundRatio(double backgroundRatio)
//
//javadoc: BackgroundSubtractorMOG::setBackgroundRatio(backgroundRatio)
public void setBackgroundRatio(double backgroundRatio)
{
setBackgroundRatio_0(nativeObj, backgroundRatio);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setHistory(int nframes)
//
//javadoc: BackgroundSubtractorMOG::setHistory(nframes)
public void setHistory(int nframes)
{
setHistory_0(nativeObj, nframes);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setNMixtures(int nmix)
//
//javadoc: BackgroundSubtractorMOG::setNMixtures(nmix)
public void setNMixtures(int nmix)
{
setNMixtures_0(nativeObj, nmix);
return;
}
//
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setNoiseSigma(double noiseSigma)
//
//javadoc: BackgroundSubtractorMOG::setNoiseSigma(noiseSigma)
public void setNoiseSigma(double noiseSigma)
{
setNoiseSigma_0(nativeObj, noiseSigma);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: double cv::bgsegm::BackgroundSubtractorMOG::getBackgroundRatio()
private static native double getBackgroundRatio_0(long nativeObj);
// C++: double cv::bgsegm::BackgroundSubtractorMOG::getNoiseSigma()
private static native double getNoiseSigma_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorMOG::getHistory()
private static native int getHistory_0(long nativeObj);
// C++: int cv::bgsegm::BackgroundSubtractorMOG::getNMixtures()
private static native int getNMixtures_0(long nativeObj);
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setBackgroundRatio(double backgroundRatio)
private static native void setBackgroundRatio_0(long nativeObj, double backgroundRatio);
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setHistory(int nframes)
private static native void setHistory_0(long nativeObj, int nframes);
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setNMixtures(int nmix)
private static native void setNMixtures_0(long nativeObj, int nmix);
// C++: void cv::bgsegm::BackgroundSubtractorMOG::setNoiseSigma(double noiseSigma)
private static native void setNoiseSigma_0(long nativeObj, double noiseSigma);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
import org.opencv.bgsegm.BackgroundSubtractorCNT;
import org.opencv.bgsegm.BackgroundSubtractorGMG;
import org.opencv.bgsegm.BackgroundSubtractorGSOC;
import org.opencv.bgsegm.BackgroundSubtractorLSBP;
import org.opencv.bgsegm.BackgroundSubtractorMOG;
import org.opencv.bgsegm.SyntheticSequenceGenerator;
import org.opencv.core.Mat;
// C++: class Bgsegm
//javadoc: Bgsegm
public class Bgsegm {
// C++: enum LSBPCameraMotionCompensation
public static final int
LSBP_CAMERA_MOTION_COMPENSATION_NONE = 0,
LSBP_CAMERA_MOTION_COMPENSATION_LK = 0+1;
//
// C++: Ptr_BackgroundSubtractorCNT cv::bgsegm::createBackgroundSubtractorCNT(int minPixelStability = 15, bool useHistory = true, int maxPixelStability = 15*60, bool isParallel = true)
//
//javadoc: createBackgroundSubtractorCNT(minPixelStability, useHistory, maxPixelStability, isParallel)
public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability, boolean useHistory, int maxPixelStability, boolean isParallel)
{
BackgroundSubtractorCNT retVal = BackgroundSubtractorCNT.__fromPtr__(createBackgroundSubtractorCNT_0(minPixelStability, useHistory, maxPixelStability, isParallel));
return retVal;
}
//javadoc: createBackgroundSubtractorCNT(minPixelStability, useHistory, maxPixelStability)
public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability, boolean useHistory, int maxPixelStability)
{
BackgroundSubtractorCNT retVal = BackgroundSubtractorCNT.__fromPtr__(createBackgroundSubtractorCNT_1(minPixelStability, useHistory, maxPixelStability));
return retVal;
}
//javadoc: createBackgroundSubtractorCNT(minPixelStability, useHistory)
public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability, boolean useHistory)
{
BackgroundSubtractorCNT retVal = BackgroundSubtractorCNT.__fromPtr__(createBackgroundSubtractorCNT_2(minPixelStability, useHistory));
return retVal;
}
//javadoc: createBackgroundSubtractorCNT(minPixelStability)
public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability)
{
BackgroundSubtractorCNT retVal = BackgroundSubtractorCNT.__fromPtr__(createBackgroundSubtractorCNT_3(minPixelStability));
return retVal;
}
//javadoc: createBackgroundSubtractorCNT()
public static BackgroundSubtractorCNT createBackgroundSubtractorCNT()
{
BackgroundSubtractorCNT retVal = BackgroundSubtractorCNT.__fromPtr__(createBackgroundSubtractorCNT_4());
return retVal;
}
//
// C++: Ptr_BackgroundSubtractorGMG cv::bgsegm::createBackgroundSubtractorGMG(int initializationFrames = 120, double decisionThreshold = 0.8)
//
//javadoc: createBackgroundSubtractorGMG(initializationFrames, decisionThreshold)
public static BackgroundSubtractorGMG createBackgroundSubtractorGMG(int initializationFrames, double decisionThreshold)
{
BackgroundSubtractorGMG retVal = BackgroundSubtractorGMG.__fromPtr__(createBackgroundSubtractorGMG_0(initializationFrames, decisionThreshold));
return retVal;
}
//javadoc: createBackgroundSubtractorGMG(initializationFrames)
public static BackgroundSubtractorGMG createBackgroundSubtractorGMG(int initializationFrames)
{
BackgroundSubtractorGMG retVal = BackgroundSubtractorGMG.__fromPtr__(createBackgroundSubtractorGMG_1(initializationFrames));
return retVal;
}
//javadoc: createBackgroundSubtractorGMG()
public static BackgroundSubtractorGMG createBackgroundSubtractorGMG()
{
BackgroundSubtractorGMG retVal = BackgroundSubtractorGMG.__fromPtr__(createBackgroundSubtractorGMG_2());
return retVal;
}
//
// C++: Ptr_BackgroundSubtractorGSOC cv::bgsegm::createBackgroundSubtractorGSOC(int mc = LSBP_CAMERA_MOTION_COMPENSATION_NONE, int nSamples = 20, float replaceRate = 0.003f, float propagationRate = 0.01f, int hitsThreshold = 32, float alpha = 0.01f, float beta = 0.0022f, float blinkingSupressionDecay = 0.1f, float blinkingSupressionMultiplier = 0.1f, float noiseRemovalThresholdFacBG = 0.0004f, float noiseRemovalThresholdFacFG = 0.0008f)
//
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay, blinkingSupressionMultiplier, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_0(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay, blinkingSupressionMultiplier, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay, blinkingSupressionMultiplier, noiseRemovalThresholdFacBG)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_1(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay, blinkingSupressionMultiplier, noiseRemovalThresholdFacBG));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay, blinkingSupressionMultiplier)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_2(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay, blinkingSupressionMultiplier));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_3(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta, blinkingSupressionDecay));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_4(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha, beta));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_5(mc, nSamples, replaceRate, propagationRate, hitsThreshold, alpha));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate, hitsThreshold)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_6(mc, nSamples, replaceRate, propagationRate, hitsThreshold));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate, propagationRate)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_7(mc, nSamples, replaceRate, propagationRate));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples, replaceRate)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_8(mc, nSamples, replaceRate));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc, nSamples)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc, int nSamples)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_9(mc, nSamples));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC(mc)
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc)
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_10(mc));
return retVal;
}
//javadoc: createBackgroundSubtractorGSOC()
public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC()
{
BackgroundSubtractorGSOC retVal = BackgroundSubtractorGSOC.__fromPtr__(createBackgroundSubtractorGSOC_11());
return retVal;
}
//
// C++: Ptr_BackgroundSubtractorLSBP cv::bgsegm::createBackgroundSubtractorLSBP(int mc = LSBP_CAMERA_MOTION_COMPENSATION_NONE, int nSamples = 20, int LSBPRadius = 16, float Tlower = 2.0f, float Tupper = 32.0f, float Tinc = 1.0f, float Tdec = 0.05f, float Rscale = 10.0f, float Rincdec = 0.005f, float noiseRemovalThresholdFacBG = 0.0004f, float noiseRemovalThresholdFacFG = 0.0008f, int LSBPthreshold = 8, int minCount = 2)
//
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG, LSBPthreshold, minCount)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold, int minCount)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_0(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG, LSBPthreshold, minCount));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG, LSBPthreshold)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_1(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG, LSBPthreshold));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_2(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG, noiseRemovalThresholdFacFG));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_3(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec, noiseRemovalThresholdFacBG));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_4(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale, Rincdec));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_5(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec, Rscale));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_6(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc, Tdec));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_7(mc, nSamples, LSBPRadius, Tlower, Tupper, Tinc));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower, Tupper)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_8(mc, nSamples, LSBPRadius, Tlower, Tupper));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius, Tlower)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_9(mc, nSamples, LSBPRadius, Tlower));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples, LSBPRadius)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_10(mc, nSamples, LSBPRadius));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc, nSamples)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc, int nSamples)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_11(mc, nSamples));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP(mc)
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc)
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_12(mc));
return retVal;
}
//javadoc: createBackgroundSubtractorLSBP()
public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP()
{
BackgroundSubtractorLSBP retVal = BackgroundSubtractorLSBP.__fromPtr__(createBackgroundSubtractorLSBP_13());
return retVal;
}
//
// C++: Ptr_BackgroundSubtractorMOG cv::bgsegm::createBackgroundSubtractorMOG(int history = 200, int nmixtures = 5, double backgroundRatio = 0.7, double noiseSigma = 0)
//
//javadoc: createBackgroundSubtractorMOG(history, nmixtures, backgroundRatio, noiseSigma)
public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history, int nmixtures, double backgroundRatio, double noiseSigma)
{
BackgroundSubtractorMOG retVal = BackgroundSubtractorMOG.__fromPtr__(createBackgroundSubtractorMOG_0(history, nmixtures, backgroundRatio, noiseSigma));
return retVal;
}
//javadoc: createBackgroundSubtractorMOG(history, nmixtures, backgroundRatio)
public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history, int nmixtures, double backgroundRatio)
{
BackgroundSubtractorMOG retVal = BackgroundSubtractorMOG.__fromPtr__(createBackgroundSubtractorMOG_1(history, nmixtures, backgroundRatio));
return retVal;
}
//javadoc: createBackgroundSubtractorMOG(history, nmixtures)
public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history, int nmixtures)
{
BackgroundSubtractorMOG retVal = BackgroundSubtractorMOG.__fromPtr__(createBackgroundSubtractorMOG_2(history, nmixtures));
return retVal;
}
//javadoc: createBackgroundSubtractorMOG(history)
public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history)
{
BackgroundSubtractorMOG retVal = BackgroundSubtractorMOG.__fromPtr__(createBackgroundSubtractorMOG_3(history));
return retVal;
}
//javadoc: createBackgroundSubtractorMOG()
public static BackgroundSubtractorMOG createBackgroundSubtractorMOG()
{
BackgroundSubtractorMOG retVal = BackgroundSubtractorMOG.__fromPtr__(createBackgroundSubtractorMOG_4());
return retVal;
}
//
// C++: Ptr_SyntheticSequenceGenerator cv::bgsegm::createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude = 2.0, double wavelength = 20.0, double wavespeed = 0.2, double objspeed = 6.0)
//
//javadoc: createSyntheticSequenceGenerator(background, object, amplitude, wavelength, wavespeed, objspeed)
public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength, double wavespeed, double objspeed)
{
SyntheticSequenceGenerator retVal = SyntheticSequenceGenerator.__fromPtr__(createSyntheticSequenceGenerator_0(background.nativeObj, object.nativeObj, amplitude, wavelength, wavespeed, objspeed));
return retVal;
}
//javadoc: createSyntheticSequenceGenerator(background, object, amplitude, wavelength, wavespeed)
public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength, double wavespeed)
{
SyntheticSequenceGenerator retVal = SyntheticSequenceGenerator.__fromPtr__(createSyntheticSequenceGenerator_1(background.nativeObj, object.nativeObj, amplitude, wavelength, wavespeed));
return retVal;
}
//javadoc: createSyntheticSequenceGenerator(background, object, amplitude, wavelength)
public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength)
{
SyntheticSequenceGenerator retVal = SyntheticSequenceGenerator.__fromPtr__(createSyntheticSequenceGenerator_2(background.nativeObj, object.nativeObj, amplitude, wavelength));
return retVal;
}
//javadoc: createSyntheticSequenceGenerator(background, object, amplitude)
public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude)
{
SyntheticSequenceGenerator retVal = SyntheticSequenceGenerator.__fromPtr__(createSyntheticSequenceGenerator_3(background.nativeObj, object.nativeObj, amplitude));
return retVal;
}
//javadoc: createSyntheticSequenceGenerator(background, object)
public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background, Mat object)
{
SyntheticSequenceGenerator retVal = SyntheticSequenceGenerator.__fromPtr__(createSyntheticSequenceGenerator_4(background.nativeObj, object.nativeObj));
return retVal;
}
// C++: Ptr_BackgroundSubtractorCNT cv::bgsegm::createBackgroundSubtractorCNT(int minPixelStability = 15, bool useHistory = true, int maxPixelStability = 15*60, bool isParallel = true)
private static native long createBackgroundSubtractorCNT_0(int minPixelStability, boolean useHistory, int maxPixelStability, boolean isParallel);
private static native long createBackgroundSubtractorCNT_1(int minPixelStability, boolean useHistory, int maxPixelStability);
private static native long createBackgroundSubtractorCNT_2(int minPixelStability, boolean useHistory);
private static native long createBackgroundSubtractorCNT_3(int minPixelStability);
private static native long createBackgroundSubtractorCNT_4();
// C++: Ptr_BackgroundSubtractorGMG cv::bgsegm::createBackgroundSubtractorGMG(int initializationFrames = 120, double decisionThreshold = 0.8)
private static native long createBackgroundSubtractorGMG_0(int initializationFrames, double decisionThreshold);
private static native long createBackgroundSubtractorGMG_1(int initializationFrames);
private static native long createBackgroundSubtractorGMG_2();
// C++: Ptr_BackgroundSubtractorGSOC cv::bgsegm::createBackgroundSubtractorGSOC(int mc = LSBP_CAMERA_MOTION_COMPENSATION_NONE, int nSamples = 20, float replaceRate = 0.003f, float propagationRate = 0.01f, int hitsThreshold = 32, float alpha = 0.01f, float beta = 0.0022f, float blinkingSupressionDecay = 0.1f, float blinkingSupressionMultiplier = 0.1f, float noiseRemovalThresholdFacBG = 0.0004f, float noiseRemovalThresholdFacFG = 0.0008f)
private static native long createBackgroundSubtractorGSOC_0(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG);
private static native long createBackgroundSubtractorGSOC_1(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG);
private static native long createBackgroundSubtractorGSOC_2(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier);
private static native long createBackgroundSubtractorGSOC_3(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay);
private static native long createBackgroundSubtractorGSOC_4(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta);
private static native long createBackgroundSubtractorGSOC_5(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha);
private static native long createBackgroundSubtractorGSOC_6(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold);
private static native long createBackgroundSubtractorGSOC_7(int mc, int nSamples, float replaceRate, float propagationRate);
private static native long createBackgroundSubtractorGSOC_8(int mc, int nSamples, float replaceRate);
private static native long createBackgroundSubtractorGSOC_9(int mc, int nSamples);
private static native long createBackgroundSubtractorGSOC_10(int mc);
private static native long createBackgroundSubtractorGSOC_11();
// C++: Ptr_BackgroundSubtractorLSBP cv::bgsegm::createBackgroundSubtractorLSBP(int mc = LSBP_CAMERA_MOTION_COMPENSATION_NONE, int nSamples = 20, int LSBPRadius = 16, float Tlower = 2.0f, float Tupper = 32.0f, float Tinc = 1.0f, float Tdec = 0.05f, float Rscale = 10.0f, float Rincdec = 0.005f, float noiseRemovalThresholdFacBG = 0.0004f, float noiseRemovalThresholdFacFG = 0.0008f, int LSBPthreshold = 8, int minCount = 2)
private static native long createBackgroundSubtractorLSBP_0(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold, int minCount);
private static native long createBackgroundSubtractorLSBP_1(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold);
private static native long createBackgroundSubtractorLSBP_2(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG);
private static native long createBackgroundSubtractorLSBP_3(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG);
private static native long createBackgroundSubtractorLSBP_4(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec);
private static native long createBackgroundSubtractorLSBP_5(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale);
private static native long createBackgroundSubtractorLSBP_6(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec);
private static native long createBackgroundSubtractorLSBP_7(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc);
private static native long createBackgroundSubtractorLSBP_8(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper);
private static native long createBackgroundSubtractorLSBP_9(int mc, int nSamples, int LSBPRadius, float Tlower);
private static native long createBackgroundSubtractorLSBP_10(int mc, int nSamples, int LSBPRadius);
private static native long createBackgroundSubtractorLSBP_11(int mc, int nSamples);
private static native long createBackgroundSubtractorLSBP_12(int mc);
private static native long createBackgroundSubtractorLSBP_13();
// C++: Ptr_BackgroundSubtractorMOG cv::bgsegm::createBackgroundSubtractorMOG(int history = 200, int nmixtures = 5, double backgroundRatio = 0.7, double noiseSigma = 0)
private static native long createBackgroundSubtractorMOG_0(int history, int nmixtures, double backgroundRatio, double noiseSigma);
private static native long createBackgroundSubtractorMOG_1(int history, int nmixtures, double backgroundRatio);
private static native long createBackgroundSubtractorMOG_2(int history, int nmixtures);
private static native long createBackgroundSubtractorMOG_3(int history);
private static native long createBackgroundSubtractorMOG_4();
// C++: Ptr_SyntheticSequenceGenerator cv::bgsegm::createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude = 2.0, double wavelength = 20.0, double wavespeed = 0.2, double objspeed = 6.0)
private static native long createSyntheticSequenceGenerator_0(long background_nativeObj, long object_nativeObj, double amplitude, double wavelength, double wavespeed, double objspeed);
private static native long createSyntheticSequenceGenerator_1(long background_nativeObj, long object_nativeObj, double amplitude, double wavelength, double wavespeed);
private static native long createSyntheticSequenceGenerator_2(long background_nativeObj, long object_nativeObj, double amplitude, double wavelength);
private static native long createSyntheticSequenceGenerator_3(long background_nativeObj, long object_nativeObj, double amplitude);
private static native long createSyntheticSequenceGenerator_4(long background_nativeObj, long object_nativeObj);
}

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OpenCV/src/main/java/org/opencv/bgsegm/SyntheticSequenceGenerator.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bgsegm;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
// C++: class SyntheticSequenceGenerator
//javadoc: SyntheticSequenceGenerator
public class SyntheticSequenceGenerator extends Algorithm {
protected SyntheticSequenceGenerator(long addr) { super(addr); }
// internal usage only
public static SyntheticSequenceGenerator __fromPtr__(long addr) { return new SyntheticSequenceGenerator(addr); }
//
// C++: cv::bgsegm::SyntheticSequenceGenerator::SyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength, double wavespeed, double objspeed)
//
//javadoc: SyntheticSequenceGenerator::SyntheticSequenceGenerator(background, object, amplitude, wavelength, wavespeed, objspeed)
public SyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength, double wavespeed, double objspeed)
{
super( SyntheticSequenceGenerator_0(background.nativeObj, object.nativeObj, amplitude, wavelength, wavespeed, objspeed) );
return;
}
//
// C++: void cv::bgsegm::SyntheticSequenceGenerator::getNextFrame(Mat& frame, Mat& gtMask)
//
//javadoc: SyntheticSequenceGenerator::getNextFrame(frame, gtMask)
public void getNextFrame(Mat frame, Mat gtMask)
{
getNextFrame_0(nativeObj, frame.nativeObj, gtMask.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: cv::bgsegm::SyntheticSequenceGenerator::SyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength, double wavespeed, double objspeed)
private static native long SyntheticSequenceGenerator_0(long background_nativeObj, long object_nativeObj, double amplitude, double wavelength, double wavespeed, double objspeed);
// C++: void cv::bgsegm::SyntheticSequenceGenerator::getNextFrame(Mat& frame, Mat& gtMask)
private static native void getNextFrame_0(long nativeObj, long frame_nativeObj, long gtMask_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

22
OpenCV/src/main/java/org/opencv/bioinspired/Bioinspired.java Normal file
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@ -0,0 +1,22 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bioinspired;
// C++: class Bioinspired
//javadoc: Bioinspired
public class Bioinspired {
// C++: enum <unnamed>
public static final int
RETINA_COLOR_RANDOM = 0,
RETINA_COLOR_DIAGONAL = 1,
RETINA_COLOR_BAYER = 2;
}

639
OpenCV/src/main/java/org/opencv/bioinspired/Retina.java Normal file
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@ -0,0 +1,639 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bioinspired;
import java.lang.String;
import org.opencv.bioinspired.Retina;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.Size;
// C++: class Retina
//javadoc: Retina
public class Retina extends Algorithm {
protected Retina(long addr) { super(addr); }
// internal usage only
public static Retina __fromPtr__(long addr) { return new Retina(addr); }
//
// C++: Mat cv::bioinspired::Retina::getMagnoRAW()
//
//javadoc: Retina::getMagnoRAW()
public Mat getMagnoRAW()
{
Mat retVal = new Mat(getMagnoRAW_0(nativeObj));
return retVal;
}
//
// C++: Mat cv::bioinspired::Retina::getParvoRAW()
//
//javadoc: Retina::getParvoRAW()
public Mat getParvoRAW()
{
Mat retVal = new Mat(getParvoRAW_0(nativeObj));
return retVal;
}
//
// C++: static Ptr_Retina cv::bioinspired::Retina::create(Size inputSize, bool colorMode, int colorSamplingMethod = RETINA_COLOR_BAYER, bool useRetinaLogSampling = false, float reductionFactor = 1.0f, float samplingStrenght = 10.0f)
//
//javadoc: Retina::create(inputSize, colorMode, colorSamplingMethod, useRetinaLogSampling, reductionFactor, samplingStrenght)
public static Retina create(Size inputSize, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling, float reductionFactor, float samplingStrenght)
{
Retina retVal = Retina.__fromPtr__(create_0(inputSize.width, inputSize.height, colorMode, colorSamplingMethod, useRetinaLogSampling, reductionFactor, samplingStrenght));
return retVal;
}
//javadoc: Retina::create(inputSize, colorMode, colorSamplingMethod, useRetinaLogSampling, reductionFactor)
public static Retina create(Size inputSize, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling, float reductionFactor)
{
Retina retVal = Retina.__fromPtr__(create_1(inputSize.width, inputSize.height, colorMode, colorSamplingMethod, useRetinaLogSampling, reductionFactor));
return retVal;
}
//javadoc: Retina::create(inputSize, colorMode, colorSamplingMethod, useRetinaLogSampling)
public static Retina create(Size inputSize, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling)
{
Retina retVal = Retina.__fromPtr__(create_2(inputSize.width, inputSize.height, colorMode, colorSamplingMethod, useRetinaLogSampling));
return retVal;
}
//javadoc: Retina::create(inputSize, colorMode, colorSamplingMethod)
public static Retina create(Size inputSize, boolean colorMode, int colorSamplingMethod)
{
Retina retVal = Retina.__fromPtr__(create_3(inputSize.width, inputSize.height, colorMode, colorSamplingMethod));
return retVal;
}
//javadoc: Retina::create(inputSize, colorMode)
public static Retina create(Size inputSize, boolean colorMode)
{
Retina retVal = Retina.__fromPtr__(create_4(inputSize.width, inputSize.height, colorMode));
return retVal;
}
//
// C++: static Ptr_Retina cv::bioinspired::Retina::create(Size inputSize)
//
//javadoc: Retina::create(inputSize)
public static Retina create(Size inputSize)
{
Retina retVal = Retina.__fromPtr__(create_5(inputSize.width, inputSize.height));
return retVal;
}
//
// C++: Size cv::bioinspired::Retina::getInputSize()
//
//javadoc: Retina::getInputSize()
public Size getInputSize()
{
Size retVal = new Size(getInputSize_0(nativeObj));
return retVal;
}
//
// C++: Size cv::bioinspired::Retina::getOutputSize()
//
//javadoc: Retina::getOutputSize()
public Size getOutputSize()
{
Size retVal = new Size(getOutputSize_0(nativeObj));
return retVal;
}
//
// C++: String cv::bioinspired::Retina::printSetup()
//
//javadoc: Retina::printSetup()
public String printSetup()
{
String retVal = printSetup_0(nativeObj);
return retVal;
}
//
// C++: void cv::bioinspired::Retina::activateContoursProcessing(bool activate)
//
//javadoc: Retina::activateContoursProcessing(activate)
public void activateContoursProcessing(boolean activate)
{
activateContoursProcessing_0(nativeObj, activate);
return;
}
//
// C++: void cv::bioinspired::Retina::activateMovingContoursProcessing(bool activate)
//
//javadoc: Retina::activateMovingContoursProcessing(activate)
public void activateMovingContoursProcessing(boolean activate)
{
activateMovingContoursProcessing_0(nativeObj, activate);
return;
}
//
// C++: void cv::bioinspired::Retina::applyFastToneMapping(Mat inputImage, Mat& outputToneMappedImage)
//
//javadoc: Retina::applyFastToneMapping(inputImage, outputToneMappedImage)
public void applyFastToneMapping(Mat inputImage, Mat outputToneMappedImage)
{
applyFastToneMapping_0(nativeObj, inputImage.nativeObj, outputToneMappedImage.nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::clearBuffers()
//
//javadoc: Retina::clearBuffers()
public void clearBuffers()
{
clearBuffers_0(nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::getMagno(Mat& retinaOutput_magno)
//
//javadoc: Retina::getMagno(retinaOutput_magno)
public void getMagno(Mat retinaOutput_magno)
{
getMagno_0(nativeObj, retinaOutput_magno.nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::getMagnoRAW(Mat& retinaOutput_magno)
//
//javadoc: Retina::getMagnoRAW(retinaOutput_magno)
public void getMagnoRAW(Mat retinaOutput_magno)
{
getMagnoRAW_1(nativeObj, retinaOutput_magno.nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::getParvo(Mat& retinaOutput_parvo)
//
//javadoc: Retina::getParvo(retinaOutput_parvo)
public void getParvo(Mat retinaOutput_parvo)
{
getParvo_0(nativeObj, retinaOutput_parvo.nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::getParvoRAW(Mat& retinaOutput_parvo)
//
//javadoc: Retina::getParvoRAW(retinaOutput_parvo)
public void getParvoRAW(Mat retinaOutput_parvo)
{
getParvoRAW_1(nativeObj, retinaOutput_parvo.nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::run(Mat inputImage)
//
//javadoc: Retina::run(inputImage)
public void run(Mat inputImage)
{
run_0(nativeObj, inputImage.nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::setColorSaturation(bool saturateColors = true, float colorSaturationValue = 4.0f)
//
//javadoc: Retina::setColorSaturation(saturateColors, colorSaturationValue)
public void setColorSaturation(boolean saturateColors, float colorSaturationValue)
{
setColorSaturation_0(nativeObj, saturateColors, colorSaturationValue);
return;
}
//javadoc: Retina::setColorSaturation(saturateColors)
public void setColorSaturation(boolean saturateColors)
{
setColorSaturation_1(nativeObj, saturateColors);
return;
}
//javadoc: Retina::setColorSaturation()
public void setColorSaturation()
{
setColorSaturation_2(nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::setup(String retinaParameterFile = "", bool applyDefaultSetupOnFailure = true)
//
//javadoc: Retina::setup(retinaParameterFile, applyDefaultSetupOnFailure)
public void setup(String retinaParameterFile, boolean applyDefaultSetupOnFailure)
{
setup_0(nativeObj, retinaParameterFile, applyDefaultSetupOnFailure);
return;
}
//javadoc: Retina::setup(retinaParameterFile)
public void setup(String retinaParameterFile)
{
setup_1(nativeObj, retinaParameterFile);
return;
}
//javadoc: Retina::setup()
public void setup()
{
setup_2(nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::setupIPLMagnoChannel(bool normaliseOutput = true, float parasolCells_beta = 0.f, float parasolCells_tau = 0.f, float parasolCells_k = 7.f, float amacrinCellsTemporalCutFrequency = 1.2f, float V0CompressionParameter = 0.95f, float localAdaptintegration_tau = 0.f, float localAdaptintegration_k = 7.f)
//
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency, V0CompressionParameter, localAdaptintegration_tau, localAdaptintegration_k)
public void setupIPLMagnoChannel(boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency, float V0CompressionParameter, float localAdaptintegration_tau, float localAdaptintegration_k)
{
setupIPLMagnoChannel_0(nativeObj, normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency, V0CompressionParameter, localAdaptintegration_tau, localAdaptintegration_k);
return;
}
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency, V0CompressionParameter, localAdaptintegration_tau)
public void setupIPLMagnoChannel(boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency, float V0CompressionParameter, float localAdaptintegration_tau)
{
setupIPLMagnoChannel_1(nativeObj, normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency, V0CompressionParameter, localAdaptintegration_tau);
return;
}
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency, V0CompressionParameter)
public void setupIPLMagnoChannel(boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency, float V0CompressionParameter)
{
setupIPLMagnoChannel_2(nativeObj, normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency, V0CompressionParameter);
return;
}
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency)
public void setupIPLMagnoChannel(boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency)
{
setupIPLMagnoChannel_3(nativeObj, normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency);
return;
}
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k)
public void setupIPLMagnoChannel(boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k)
{
setupIPLMagnoChannel_4(nativeObj, normaliseOutput, parasolCells_beta, parasolCells_tau, parasolCells_k);
return;
}
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput, parasolCells_beta, parasolCells_tau)
public void setupIPLMagnoChannel(boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau)
{
setupIPLMagnoChannel_5(nativeObj, normaliseOutput, parasolCells_beta, parasolCells_tau);
return;
}
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput, parasolCells_beta)
public void setupIPLMagnoChannel(boolean normaliseOutput, float parasolCells_beta)
{
setupIPLMagnoChannel_6(nativeObj, normaliseOutput, parasolCells_beta);
return;
}
//javadoc: Retina::setupIPLMagnoChannel(normaliseOutput)
public void setupIPLMagnoChannel(boolean normaliseOutput)
{
setupIPLMagnoChannel_7(nativeObj, normaliseOutput);
return;
}
//javadoc: Retina::setupIPLMagnoChannel()
public void setupIPLMagnoChannel()
{
setupIPLMagnoChannel_8(nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::setupOPLandIPLParvoChannel(bool colorMode = true, bool normaliseOutput = true, float photoreceptorsLocalAdaptationSensitivity = 0.7f, float photoreceptorsTemporalConstant = 0.5f, float photoreceptorsSpatialConstant = 0.53f, float horizontalCellsGain = 0.f, float HcellsTemporalConstant = 1.f, float HcellsSpatialConstant = 7.f, float ganglionCellsSensitivity = 0.7f)
//
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain, HcellsTemporalConstant, HcellsSpatialConstant, ganglionCellsSensitivity)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain, float HcellsTemporalConstant, float HcellsSpatialConstant, float ganglionCellsSensitivity)
{
setupOPLandIPLParvoChannel_0(nativeObj, colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain, HcellsTemporalConstant, HcellsSpatialConstant, ganglionCellsSensitivity);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain, HcellsTemporalConstant, HcellsSpatialConstant)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain, float HcellsTemporalConstant, float HcellsSpatialConstant)
{
setupOPLandIPLParvoChannel_1(nativeObj, colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain, HcellsTemporalConstant, HcellsSpatialConstant);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain, HcellsTemporalConstant)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain, float HcellsTemporalConstant)
{
setupOPLandIPLParvoChannel_2(nativeObj, colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain, HcellsTemporalConstant);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain)
{
setupOPLandIPLParvoChannel_3(nativeObj, colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant)
{
setupOPLandIPLParvoChannel_4(nativeObj, colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant)
{
setupOPLandIPLParvoChannel_5(nativeObj, colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity)
{
setupOPLandIPLParvoChannel_6(nativeObj, colorMode, normaliseOutput, photoreceptorsLocalAdaptationSensitivity);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode, normaliseOutput)
public void setupOPLandIPLParvoChannel(boolean colorMode, boolean normaliseOutput)
{
setupOPLandIPLParvoChannel_7(nativeObj, colorMode, normaliseOutput);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel(colorMode)
public void setupOPLandIPLParvoChannel(boolean colorMode)
{
setupOPLandIPLParvoChannel_8(nativeObj, colorMode);
return;
}
//javadoc: Retina::setupOPLandIPLParvoChannel()
public void setupOPLandIPLParvoChannel()
{
setupOPLandIPLParvoChannel_9(nativeObj);
return;
}
//
// C++: void cv::bioinspired::Retina::write(String fs)
//
//javadoc: Retina::write(fs)
public void write(String fs)
{
write_0(nativeObj, fs);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat cv::bioinspired::Retina::getMagnoRAW()
private static native long getMagnoRAW_0(long nativeObj);
// C++: Mat cv::bioinspired::Retina::getParvoRAW()
private static native long getParvoRAW_0(long nativeObj);
// C++: static Ptr_Retina cv::bioinspired::Retina::create(Size inputSize, bool colorMode, int colorSamplingMethod = RETINA_COLOR_BAYER, bool useRetinaLogSampling = false, float reductionFactor = 1.0f, float samplingStrenght = 10.0f)
private static native long create_0(double inputSize_width, double inputSize_height, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling, float reductionFactor, float samplingStrenght);
private static native long create_1(double inputSize_width, double inputSize_height, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling, float reductionFactor);
private static native long create_2(double inputSize_width, double inputSize_height, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling);
private static native long create_3(double inputSize_width, double inputSize_height, boolean colorMode, int colorSamplingMethod);
private static native long create_4(double inputSize_width, double inputSize_height, boolean colorMode);
// C++: static Ptr_Retina cv::bioinspired::Retina::create(Size inputSize)
private static native long create_5(double inputSize_width, double inputSize_height);
// C++: Size cv::bioinspired::Retina::getInputSize()
private static native double[] getInputSize_0(long nativeObj);
// C++: Size cv::bioinspired::Retina::getOutputSize()
private static native double[] getOutputSize_0(long nativeObj);
// C++: String cv::bioinspired::Retina::printSetup()
private static native String printSetup_0(long nativeObj);
// C++: void cv::bioinspired::Retina::activateContoursProcessing(bool activate)
private static native void activateContoursProcessing_0(long nativeObj, boolean activate);
// C++: void cv::bioinspired::Retina::activateMovingContoursProcessing(bool activate)
private static native void activateMovingContoursProcessing_0(long nativeObj, boolean activate);
// C++: void cv::bioinspired::Retina::applyFastToneMapping(Mat inputImage, Mat& outputToneMappedImage)
private static native void applyFastToneMapping_0(long nativeObj, long inputImage_nativeObj, long outputToneMappedImage_nativeObj);
// C++: void cv::bioinspired::Retina::clearBuffers()
private static native void clearBuffers_0(long nativeObj);
// C++: void cv::bioinspired::Retina::getMagno(Mat& retinaOutput_magno)
private static native void getMagno_0(long nativeObj, long retinaOutput_magno_nativeObj);
// C++: void cv::bioinspired::Retina::getMagnoRAW(Mat& retinaOutput_magno)
private static native void getMagnoRAW_1(long nativeObj, long retinaOutput_magno_nativeObj);
// C++: void cv::bioinspired::Retina::getParvo(Mat& retinaOutput_parvo)
private static native void getParvo_0(long nativeObj, long retinaOutput_parvo_nativeObj);
// C++: void cv::bioinspired::Retina::getParvoRAW(Mat& retinaOutput_parvo)
private static native void getParvoRAW_1(long nativeObj, long retinaOutput_parvo_nativeObj);
// C++: void cv::bioinspired::Retina::run(Mat inputImage)
private static native void run_0(long nativeObj, long inputImage_nativeObj);
// C++: void cv::bioinspired::Retina::setColorSaturation(bool saturateColors = true, float colorSaturationValue = 4.0f)
private static native void setColorSaturation_0(long nativeObj, boolean saturateColors, float colorSaturationValue);
private static native void setColorSaturation_1(long nativeObj, boolean saturateColors);
private static native void setColorSaturation_2(long nativeObj);
// C++: void cv::bioinspired::Retina::setup(String retinaParameterFile = "", bool applyDefaultSetupOnFailure = true)
private static native void setup_0(long nativeObj, String retinaParameterFile, boolean applyDefaultSetupOnFailure);
private static native void setup_1(long nativeObj, String retinaParameterFile);
private static native void setup_2(long nativeObj);
// C++: void cv::bioinspired::Retina::setupIPLMagnoChannel(bool normaliseOutput = true, float parasolCells_beta = 0.f, float parasolCells_tau = 0.f, float parasolCells_k = 7.f, float amacrinCellsTemporalCutFrequency = 1.2f, float V0CompressionParameter = 0.95f, float localAdaptintegration_tau = 0.f, float localAdaptintegration_k = 7.f)
private static native void setupIPLMagnoChannel_0(long nativeObj, boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency, float V0CompressionParameter, float localAdaptintegration_tau, float localAdaptintegration_k);
private static native void setupIPLMagnoChannel_1(long nativeObj, boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency, float V0CompressionParameter, float localAdaptintegration_tau);
private static native void setupIPLMagnoChannel_2(long nativeObj, boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency, float V0CompressionParameter);
private static native void setupIPLMagnoChannel_3(long nativeObj, boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k, float amacrinCellsTemporalCutFrequency);
private static native void setupIPLMagnoChannel_4(long nativeObj, boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau, float parasolCells_k);
private static native void setupIPLMagnoChannel_5(long nativeObj, boolean normaliseOutput, float parasolCells_beta, float parasolCells_tau);
private static native void setupIPLMagnoChannel_6(long nativeObj, boolean normaliseOutput, float parasolCells_beta);
private static native void setupIPLMagnoChannel_7(long nativeObj, boolean normaliseOutput);
private static native void setupIPLMagnoChannel_8(long nativeObj);
// C++: void cv::bioinspired::Retina::setupOPLandIPLParvoChannel(bool colorMode = true, bool normaliseOutput = true, float photoreceptorsLocalAdaptationSensitivity = 0.7f, float photoreceptorsTemporalConstant = 0.5f, float photoreceptorsSpatialConstant = 0.53f, float horizontalCellsGain = 0.f, float HcellsTemporalConstant = 1.f, float HcellsSpatialConstant = 7.f, float ganglionCellsSensitivity = 0.7f)
private static native void setupOPLandIPLParvoChannel_0(long nativeObj, boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain, float HcellsTemporalConstant, float HcellsSpatialConstant, float ganglionCellsSensitivity);
private static native void setupOPLandIPLParvoChannel_1(long nativeObj, boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain, float HcellsTemporalConstant, float HcellsSpatialConstant);
private static native void setupOPLandIPLParvoChannel_2(long nativeObj, boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain, float HcellsTemporalConstant);
private static native void setupOPLandIPLParvoChannel_3(long nativeObj, boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant, float horizontalCellsGain);
private static native void setupOPLandIPLParvoChannel_4(long nativeObj, boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant, float photoreceptorsSpatialConstant);
private static native void setupOPLandIPLParvoChannel_5(long nativeObj, boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity, float photoreceptorsTemporalConstant);
private static native void setupOPLandIPLParvoChannel_6(long nativeObj, boolean colorMode, boolean normaliseOutput, float photoreceptorsLocalAdaptationSensitivity);
private static native void setupOPLandIPLParvoChannel_7(long nativeObj, boolean colorMode, boolean normaliseOutput);
private static native void setupOPLandIPLParvoChannel_8(long nativeObj, boolean colorMode);
private static native void setupOPLandIPLParvoChannel_9(long nativeObj);
// C++: void cv::bioinspired::Retina::write(String fs)
private static native void write_0(long nativeObj, String fs);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bioinspired;
import org.opencv.bioinspired.RetinaFastToneMapping;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.Size;
// C++: class RetinaFastToneMapping
//javadoc: RetinaFastToneMapping
public class RetinaFastToneMapping extends Algorithm {
protected RetinaFastToneMapping(long addr) { super(addr); }
// internal usage only
public static RetinaFastToneMapping __fromPtr__(long addr) { return new RetinaFastToneMapping(addr); }
//
// C++: static Ptr_RetinaFastToneMapping cv::bioinspired::RetinaFastToneMapping::create(Size inputSize)
//
//javadoc: RetinaFastToneMapping::create(inputSize)
public static RetinaFastToneMapping create(Size inputSize)
{
RetinaFastToneMapping retVal = RetinaFastToneMapping.__fromPtr__(create_0(inputSize.width, inputSize.height));
return retVal;
}
//
// C++: void cv::bioinspired::RetinaFastToneMapping::applyFastToneMapping(Mat inputImage, Mat& outputToneMappedImage)
//
//javadoc: RetinaFastToneMapping::applyFastToneMapping(inputImage, outputToneMappedImage)
public void applyFastToneMapping(Mat inputImage, Mat outputToneMappedImage)
{
applyFastToneMapping_0(nativeObj, inputImage.nativeObj, outputToneMappedImage.nativeObj);
return;
}
//
// C++: void cv::bioinspired::RetinaFastToneMapping::setup(float photoreceptorsNeighborhoodRadius = 3.f, float ganglioncellsNeighborhoodRadius = 1.f, float meanLuminanceModulatorK = 1.f)
//
//javadoc: RetinaFastToneMapping::setup(photoreceptorsNeighborhoodRadius, ganglioncellsNeighborhoodRadius, meanLuminanceModulatorK)
public void setup(float photoreceptorsNeighborhoodRadius, float ganglioncellsNeighborhoodRadius, float meanLuminanceModulatorK)
{
setup_0(nativeObj, photoreceptorsNeighborhoodRadius, ganglioncellsNeighborhoodRadius, meanLuminanceModulatorK);
return;
}
//javadoc: RetinaFastToneMapping::setup(photoreceptorsNeighborhoodRadius, ganglioncellsNeighborhoodRadius)
public void setup(float photoreceptorsNeighborhoodRadius, float ganglioncellsNeighborhoodRadius)
{
setup_1(nativeObj, photoreceptorsNeighborhoodRadius, ganglioncellsNeighborhoodRadius);
return;
}
//javadoc: RetinaFastToneMapping::setup(photoreceptorsNeighborhoodRadius)
public void setup(float photoreceptorsNeighborhoodRadius)
{
setup_2(nativeObj, photoreceptorsNeighborhoodRadius);
return;
}
//javadoc: RetinaFastToneMapping::setup()
public void setup()
{
setup_3(nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_RetinaFastToneMapping cv::bioinspired::RetinaFastToneMapping::create(Size inputSize)
private static native long create_0(double inputSize_width, double inputSize_height);
// C++: void cv::bioinspired::RetinaFastToneMapping::applyFastToneMapping(Mat inputImage, Mat& outputToneMappedImage)
private static native void applyFastToneMapping_0(long nativeObj, long inputImage_nativeObj, long outputToneMappedImage_nativeObj);
// C++: void cv::bioinspired::RetinaFastToneMapping::setup(float photoreceptorsNeighborhoodRadius = 3.f, float ganglioncellsNeighborhoodRadius = 1.f, float meanLuminanceModulatorK = 1.f)
private static native void setup_0(long nativeObj, float photoreceptorsNeighborhoodRadius, float ganglioncellsNeighborhoodRadius, float meanLuminanceModulatorK);
private static native void setup_1(long nativeObj, float photoreceptorsNeighborhoodRadius, float ganglioncellsNeighborhoodRadius);
private static native void setup_2(long nativeObj, float photoreceptorsNeighborhoodRadius);
private static native void setup_3(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.bioinspired;
import java.lang.String;
import org.opencv.bioinspired.TransientAreasSegmentationModule;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.Size;
// C++: class TransientAreasSegmentationModule
//javadoc: TransientAreasSegmentationModule
public class TransientAreasSegmentationModule extends Algorithm {
protected TransientAreasSegmentationModule(long addr) { super(addr); }
// internal usage only
public static TransientAreasSegmentationModule __fromPtr__(long addr) { return new TransientAreasSegmentationModule(addr); }
//
// C++: static Ptr_TransientAreasSegmentationModule cv::bioinspired::TransientAreasSegmentationModule::create(Size inputSize)
//
//javadoc: TransientAreasSegmentationModule::create(inputSize)
public static TransientAreasSegmentationModule create(Size inputSize)
{
TransientAreasSegmentationModule retVal = TransientAreasSegmentationModule.__fromPtr__(create_0(inputSize.width, inputSize.height));
return retVal;
}
//
// C++: Size cv::bioinspired::TransientAreasSegmentationModule::getSize()
//
//javadoc: TransientAreasSegmentationModule::getSize()
public Size getSize()
{
Size retVal = new Size(getSize_0(nativeObj));
return retVal;
}
//
// C++: String cv::bioinspired::TransientAreasSegmentationModule::printSetup()
//
//javadoc: TransientAreasSegmentationModule::printSetup()
public String printSetup()
{
String retVal = printSetup_0(nativeObj);
return retVal;
}
//
// C++: void cv::bioinspired::TransientAreasSegmentationModule::clearAllBuffers()
//
//javadoc: TransientAreasSegmentationModule::clearAllBuffers()
public void clearAllBuffers()
{
clearAllBuffers_0(nativeObj);
return;
}
//
// C++: void cv::bioinspired::TransientAreasSegmentationModule::getSegmentationPicture(Mat& transientAreas)
//
//javadoc: TransientAreasSegmentationModule::getSegmentationPicture(transientAreas)
public void getSegmentationPicture(Mat transientAreas)
{
getSegmentationPicture_0(nativeObj, transientAreas.nativeObj);
return;
}
//
// C++: void cv::bioinspired::TransientAreasSegmentationModule::run(Mat inputToSegment, int channelIndex = 0)
//
//javadoc: TransientAreasSegmentationModule::run(inputToSegment, channelIndex)
public void run(Mat inputToSegment, int channelIndex)
{
run_0(nativeObj, inputToSegment.nativeObj, channelIndex);
return;
}
//javadoc: TransientAreasSegmentationModule::run(inputToSegment)
public void run(Mat inputToSegment)
{
run_1(nativeObj, inputToSegment.nativeObj);
return;
}
//
// C++: void cv::bioinspired::TransientAreasSegmentationModule::setup(String segmentationParameterFile = "", bool applyDefaultSetupOnFailure = true)
//
//javadoc: TransientAreasSegmentationModule::setup(segmentationParameterFile, applyDefaultSetupOnFailure)
public void setup(String segmentationParameterFile, boolean applyDefaultSetupOnFailure)
{
setup_0(nativeObj, segmentationParameterFile, applyDefaultSetupOnFailure);
return;
}
//javadoc: TransientAreasSegmentationModule::setup(segmentationParameterFile)
public void setup(String segmentationParameterFile)
{
setup_1(nativeObj, segmentationParameterFile);
return;
}
//javadoc: TransientAreasSegmentationModule::setup()
public void setup()
{
setup_2(nativeObj);
return;
}
//
// C++: void cv::bioinspired::TransientAreasSegmentationModule::write(String fs)
//
//javadoc: TransientAreasSegmentationModule::write(fs)
public void write(String fs)
{
write_0(nativeObj, fs);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_TransientAreasSegmentationModule cv::bioinspired::TransientAreasSegmentationModule::create(Size inputSize)
private static native long create_0(double inputSize_width, double inputSize_height);
// C++: Size cv::bioinspired::TransientAreasSegmentationModule::getSize()
private static native double[] getSize_0(long nativeObj);
// C++: String cv::bioinspired::TransientAreasSegmentationModule::printSetup()
private static native String printSetup_0(long nativeObj);
// C++: void cv::bioinspired::TransientAreasSegmentationModule::clearAllBuffers()
private static native void clearAllBuffers_0(long nativeObj);
// C++: void cv::bioinspired::TransientAreasSegmentationModule::getSegmentationPicture(Mat& transientAreas)
private static native void getSegmentationPicture_0(long nativeObj, long transientAreas_nativeObj);
// C++: void cv::bioinspired::TransientAreasSegmentationModule::run(Mat inputToSegment, int channelIndex = 0)
private static native void run_0(long nativeObj, long inputToSegment_nativeObj, int channelIndex);
private static native void run_1(long nativeObj, long inputToSegment_nativeObj);
// C++: void cv::bioinspired::TransientAreasSegmentationModule::setup(String segmentationParameterFile = "", bool applyDefaultSetupOnFailure = true)
private static native void setup_0(long nativeObj, String segmentationParameterFile, boolean applyDefaultSetupOnFailure);
private static native void setup_1(long nativeObj, String segmentationParameterFile);
private static native void setup_2(long nativeObj);
// C++: void cv::bioinspired::TransientAreasSegmentationModule::write(String fs)
private static native void write_0(long nativeObj, String fs);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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//
// 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); }
// C++: enum <unnamed>
public static final int
PREFILTER_NORMALIZED_RESPONSE = 0,
PREFILTER_XSOBEL = 1;
//
// C++: static Ptr_StereoBM cv::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(numDisparities)
public static StereoBM create(int numDisparities)
{
StereoBM retVal = StereoBM.__fromPtr__(create_1(numDisparities));
return retVal;
}
//javadoc: StereoBM::create()
public static StereoBM create()
{
StereoBM retVal = StereoBM.__fromPtr__(create_2());
return retVal;
}
//
// C++: Rect cv::StereoBM::getROI1()
//
//javadoc: StereoBM::getROI1()
public Rect getROI1()
{
Rect retVal = new Rect(getROI1_0(nativeObj));
return retVal;
}
//
// C++: Rect cv::StereoBM::getROI2()
//
//javadoc: StereoBM::getROI2()
public Rect getROI2()
{
Rect retVal = new Rect(getROI2_0(nativeObj));
return retVal;
}
//
// C++: int cv::StereoBM::getPreFilterCap()
//
//javadoc: StereoBM::getPreFilterCap()
public int getPreFilterCap()
{
int retVal = getPreFilterCap_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoBM::getPreFilterSize()
//
//javadoc: StereoBM::getPreFilterSize()
public int getPreFilterSize()
{
int retVal = getPreFilterSize_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoBM::getPreFilterType()
//
//javadoc: StereoBM::getPreFilterType()
public int getPreFilterType()
{
int retVal = getPreFilterType_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoBM::getSmallerBlockSize()
//
//javadoc: StereoBM::getSmallerBlockSize()
public int getSmallerBlockSize()
{
int retVal = getSmallerBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoBM::getTextureThreshold()
//
//javadoc: StereoBM::getTextureThreshold()
public int getTextureThreshold()
{
int retVal = getTextureThreshold_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoBM::getUniquenessRatio()
//
//javadoc: StereoBM::getUniquenessRatio()
public int getUniquenessRatio()
{
int retVal = getUniquenessRatio_0(nativeObj);
return retVal;
}
//
// C++: void cv::StereoBM::setPreFilterCap(int preFilterCap)
//
//javadoc: StereoBM::setPreFilterCap(preFilterCap)
public void setPreFilterCap(int preFilterCap)
{
setPreFilterCap_0(nativeObj, preFilterCap);
return;
}
//
// C++: void cv::StereoBM::setPreFilterSize(int preFilterSize)
//
//javadoc: StereoBM::setPreFilterSize(preFilterSize)
public void setPreFilterSize(int preFilterSize)
{
setPreFilterSize_0(nativeObj, preFilterSize);
return;
}
//
// C++: void cv::StereoBM::setPreFilterType(int preFilterType)
//
//javadoc: StereoBM::setPreFilterType(preFilterType)
public void setPreFilterType(int preFilterType)
{
setPreFilterType_0(nativeObj, preFilterType);
return;
}
//
// C++: void cv::StereoBM::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 cv::StereoBM::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 cv::StereoBM::setSmallerBlockSize(int blockSize)
//
//javadoc: StereoBM::setSmallerBlockSize(blockSize)
public void setSmallerBlockSize(int blockSize)
{
setSmallerBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void cv::StereoBM::setTextureThreshold(int textureThreshold)
//
//javadoc: StereoBM::setTextureThreshold(textureThreshold)
public void setTextureThreshold(int textureThreshold)
{
setTextureThreshold_0(nativeObj, textureThreshold);
return;
}
//
// C++: void cv::StereoBM::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 cv::StereoBM::create(int numDisparities = 0, int blockSize = 21)
private static native long create_0(int numDisparities, int blockSize);
private static native long create_1(int numDisparities);
private static native long create_2();
// C++: Rect cv::StereoBM::getROI1()
private static native double[] getROI1_0(long nativeObj);
// C++: Rect cv::StereoBM::getROI2()
private static native double[] getROI2_0(long nativeObj);
// C++: int cv::StereoBM::getPreFilterCap()
private static native int getPreFilterCap_0(long nativeObj);
// C++: int cv::StereoBM::getPreFilterSize()
private static native int getPreFilterSize_0(long nativeObj);
// C++: int cv::StereoBM::getPreFilterType()
private static native int getPreFilterType_0(long nativeObj);
// C++: int cv::StereoBM::getSmallerBlockSize()
private static native int getSmallerBlockSize_0(long nativeObj);
// C++: int cv::StereoBM::getTextureThreshold()
private static native int getTextureThreshold_0(long nativeObj);
// C++: int cv::StereoBM::getUniquenessRatio()
private static native int getUniquenessRatio_0(long nativeObj);
// C++: void cv::StereoBM::setPreFilterCap(int preFilterCap)
private static native void setPreFilterCap_0(long nativeObj, int preFilterCap);
// C++: void cv::StereoBM::setPreFilterSize(int preFilterSize)
private static native void setPreFilterSize_0(long nativeObj, int preFilterSize);
// C++: void cv::StereoBM::setPreFilterType(int preFilterType)
private static native void setPreFilterType_0(long nativeObj, int preFilterType);
// C++: void cv::StereoBM::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 cv::StereoBM::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 cv::StereoBM::setSmallerBlockSize(int blockSize)
private static native void setSmallerBlockSize_0(long nativeObj, int blockSize);
// C++: void cv::StereoBM::setTextureThreshold(int textureThreshold)
private static native void setTextureThreshold_0(long nativeObj, int textureThreshold);
// C++: void cv::StereoBM::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);
}

256
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//
// 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); }
// C++: enum <unnamed>
public static final int
DISP_SHIFT = 4,
DISP_SCALE = (1 << DISP_SHIFT);
//
// C++: int cv::StereoMatcher::getBlockSize()
//
//javadoc: StereoMatcher::getBlockSize()
public int getBlockSize()
{
int retVal = getBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoMatcher::getDisp12MaxDiff()
//
//javadoc: StereoMatcher::getDisp12MaxDiff()
public int getDisp12MaxDiff()
{
int retVal = getDisp12MaxDiff_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoMatcher::getMinDisparity()
//
//javadoc: StereoMatcher::getMinDisparity()
public int getMinDisparity()
{
int retVal = getMinDisparity_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoMatcher::getNumDisparities()
//
//javadoc: StereoMatcher::getNumDisparities()
public int getNumDisparities()
{
int retVal = getNumDisparities_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoMatcher::getSpeckleRange()
//
//javadoc: StereoMatcher::getSpeckleRange()
public int getSpeckleRange()
{
int retVal = getSpeckleRange_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoMatcher::getSpeckleWindowSize()
//
//javadoc: StereoMatcher::getSpeckleWindowSize()
public int getSpeckleWindowSize()
{
int retVal = getSpeckleWindowSize_0(nativeObj);
return retVal;
}
//
// C++: void cv::StereoMatcher::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 cv::StereoMatcher::setBlockSize(int blockSize)
//
//javadoc: StereoMatcher::setBlockSize(blockSize)
public void setBlockSize(int blockSize)
{
setBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void cv::StereoMatcher::setDisp12MaxDiff(int disp12MaxDiff)
//
//javadoc: StereoMatcher::setDisp12MaxDiff(disp12MaxDiff)
public void setDisp12MaxDiff(int disp12MaxDiff)
{
setDisp12MaxDiff_0(nativeObj, disp12MaxDiff);
return;
}
//
// C++: void cv::StereoMatcher::setMinDisparity(int minDisparity)
//
//javadoc: StereoMatcher::setMinDisparity(minDisparity)
public void setMinDisparity(int minDisparity)
{
setMinDisparity_0(nativeObj, minDisparity);
return;
}
//
// C++: void cv::StereoMatcher::setNumDisparities(int numDisparities)
//
//javadoc: StereoMatcher::setNumDisparities(numDisparities)
public void setNumDisparities(int numDisparities)
{
setNumDisparities_0(nativeObj, numDisparities);
return;
}
//
// C++: void cv::StereoMatcher::setSpeckleRange(int speckleRange)
//
//javadoc: StereoMatcher::setSpeckleRange(speckleRange)
public void setSpeckleRange(int speckleRange)
{
setSpeckleRange_0(nativeObj, speckleRange);
return;
}
//
// C++: void cv::StereoMatcher::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 cv::StereoMatcher::getBlockSize()
private static native int getBlockSize_0(long nativeObj);
// C++: int cv::StereoMatcher::getDisp12MaxDiff()
private static native int getDisp12MaxDiff_0(long nativeObj);
// C++: int cv::StereoMatcher::getMinDisparity()
private static native int getMinDisparity_0(long nativeObj);
// C++: int cv::StereoMatcher::getNumDisparities()
private static native int getNumDisparities_0(long nativeObj);
// C++: int cv::StereoMatcher::getSpeckleRange()
private static native int getSpeckleRange_0(long nativeObj);
// C++: int cv::StereoMatcher::getSpeckleWindowSize()
private static native int getSpeckleWindowSize_0(long nativeObj);
// C++: void cv::StereoMatcher::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 cv::StereoMatcher::setBlockSize(int blockSize)
private static native void setBlockSize_0(long nativeObj, int blockSize);
// C++: void cv::StereoMatcher::setDisp12MaxDiff(int disp12MaxDiff)
private static native void setDisp12MaxDiff_0(long nativeObj, int disp12MaxDiff);
// C++: void cv::StereoMatcher::setMinDisparity(int minDisparity)
private static native void setMinDisparity_0(long nativeObj, int minDisparity);
// C++: void cv::StereoMatcher::setNumDisparities(int numDisparities)
private static native void setNumDisparities_0(long nativeObj, int numDisparities);
// C++: void cv::StereoMatcher::setSpeckleRange(int speckleRange)
private static native void setSpeckleRange_0(long nativeObj, int speckleRange);
// C++: void cv::StereoMatcher::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);
}

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//
// 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); }
// C++: enum <unnamed>
public static final int
MODE_SGBM = 0,
MODE_HH = 1,
MODE_SGBM_3WAY = 2,
MODE_HH4 = 3;
//
// C++: static Ptr_StereoSGBM cv::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(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_1(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_2(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_3(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_4(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_5(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1, P2)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_6(minDisparity, numDisparities, blockSize, P1, P2));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_7(minDisparity, numDisparities, blockSize, P1));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_8(minDisparity, numDisparities, blockSize));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity, numDisparities)
public static StereoSGBM create(int minDisparity, int numDisparities)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_9(minDisparity, numDisparities));
return retVal;
}
//javadoc: StereoSGBM::create(minDisparity)
public static StereoSGBM create(int minDisparity)
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_10(minDisparity));
return retVal;
}
//javadoc: StereoSGBM::create()
public static StereoSGBM create()
{
StereoSGBM retVal = StereoSGBM.__fromPtr__(create_11());
return retVal;
}
//
// C++: int cv::StereoSGBM::getMode()
//
//javadoc: StereoSGBM::getMode()
public int getMode()
{
int retVal = getMode_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoSGBM::getP1()
//
//javadoc: StereoSGBM::getP1()
public int getP1()
{
int retVal = getP1_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoSGBM::getP2()
//
//javadoc: StereoSGBM::getP2()
public int getP2()
{
int retVal = getP2_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoSGBM::getPreFilterCap()
//
//javadoc: StereoSGBM::getPreFilterCap()
public int getPreFilterCap()
{
int retVal = getPreFilterCap_0(nativeObj);
return retVal;
}
//
// C++: int cv::StereoSGBM::getUniquenessRatio()
//
//javadoc: StereoSGBM::getUniquenessRatio()
public int getUniquenessRatio()
{
int retVal = getUniquenessRatio_0(nativeObj);
return retVal;
}
//
// C++: void cv::StereoSGBM::setMode(int mode)
//
//javadoc: StereoSGBM::setMode(mode)
public void setMode(int mode)
{
setMode_0(nativeObj, mode);
return;
}
//
// C++: void cv::StereoSGBM::setP1(int P1)
//
//javadoc: StereoSGBM::setP1(P1)
public void setP1(int P1)
{
setP1_0(nativeObj, P1);
return;
}
//
// C++: void cv::StereoSGBM::setP2(int P2)
//
//javadoc: StereoSGBM::setP2(P2)
public void setP2(int P2)
{
setP2_0(nativeObj, P2);
return;
}
//
// C++: void cv::StereoSGBM::setPreFilterCap(int preFilterCap)
//
//javadoc: StereoSGBM::setPreFilterCap(preFilterCap)
public void setPreFilterCap(int preFilterCap)
{
setPreFilterCap_0(nativeObj, preFilterCap);
return;
}
//
// C++: void cv::StereoSGBM::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 cv::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(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange);
private static native long create_2(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize);
private static native long create_3(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio);
private static native long create_4(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap);
private static native long create_5(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff);
private static native long create_6(int minDisparity, int numDisparities, int blockSize, int P1, int P2);
private static native long create_7(int minDisparity, int numDisparities, int blockSize, int P1);
private static native long create_8(int minDisparity, int numDisparities, int blockSize);
private static native long create_9(int minDisparity, int numDisparities);
private static native long create_10(int minDisparity);
private static native long create_11();
// C++: int cv::StereoSGBM::getMode()
private static native int getMode_0(long nativeObj);
// C++: int cv::StereoSGBM::getP1()
private static native int getP1_0(long nativeObj);
// C++: int cv::StereoSGBM::getP2()
private static native int getP2_0(long nativeObj);
// C++: int cv::StereoSGBM::getPreFilterCap()
private static native int getPreFilterCap_0(long nativeObj);
// C++: int cv::StereoSGBM::getUniquenessRatio()
private static native int getUniquenessRatio_0(long nativeObj);
// C++: void cv::StereoSGBM::setMode(int mode)
private static native void setMode_0(long nativeObj, int mode);
// C++: void cv::StereoSGBM::setP1(int P1)
private static native void setP1_0(long nativeObj, int P1);
// C++: void cv::StereoSGBM::setP2(int P2)
private static native void setP2_0(long nativeObj, int P2);
// C++: void cv::StereoSGBM::setPreFilterCap(int preFilterCap)
private static native void setPreFilterCap_0(long nativeObj, int preFilterCap);
// C++: void cv::StereoSGBM::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);
}

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//
// 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 cv::Algorithm::getDefaultName()
//
//javadoc: Algorithm::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool cv::Algorithm::empty()
//
//javadoc: Algorithm::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: void cv::Algorithm::clear()
//
//javadoc: Algorithm::clear()
public void clear()
{
clear_0(nativeObj);
return;
}
//
// C++: void cv::Algorithm::read(FileNode fn)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void cv::Algorithm::save(String filename)
//
//javadoc: Algorithm::save(filename)
public void save(String filename)
{
save_0(nativeObj, filename);
return;
}
//
// C++: void cv::Algorithm::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 cv::Algorithm::getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool cv::Algorithm::empty()
private static native boolean empty_0(long nativeObj);
// C++: void cv::Algorithm::clear()
private static native void clear_0(long nativeObj);
// C++: void cv::Algorithm::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);
}

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OpenCV/src/main/java/org/opencv/core/CvException.java Normal file
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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() + "]";
}
}

150
OpenCV/src/main/java/org/opencv/core/CvType.java Normal file
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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_16F = 7;
/**
* @deprecated please use {@link #CV_16F}
*/
@Deprecated
public static final int CV_USRTYPE1 = CV_16F;
// 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),
CV_16FC1 = CV_16FC(1), CV_16FC2 = CV_16FC(2), CV_16FC3 = CV_16FC(3), CV_16FC4 = CV_16FC(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 UnsupportedOperationException(
"Channels count should be 1.." + (CV_CN_MAX - 1));
}
if (depth < 0 || depth >= CV_DEPTH_MAX) {
throw new 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 CV_16FC(int ch) {
return makeType(CV_16F, 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:
case CV_16F:
return 2 * channels(type);
case CV_32S:
case CV_32F:
return 4 * channels(type);
case CV_64F:
return 8 * channels(type);
default:
throw new 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_16F:
s = "CV_16F";
break;
default:
throw new UnsupportedOperationException(
"Unsupported CvType value: " + type);
}
int ch = channels(type);
if (ch <= 4)
return s + "C" + ch;
else
return s + "C(" + ch + ")";
}
}

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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 + "]";
}
}

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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 + "]";
}
}

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OpenCV/src/main/java/org/opencv/core/MatOfByte.java Normal file
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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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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);
}
}

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package org.opencv.core;
import java.util.Arrays;
import java.util.List;
import org.opencv.core.RotatedRect;
public class MatOfRotatedRect extends Mat {
// 32FC5
private static final int _depth = CvType.CV_32F;
private static final int _channels = 5;
public MatOfRotatedRect() {
super();
}
protected MatOfRotatedRect(long addr) {
super(addr);
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public static MatOfRotatedRect fromNativeAddr(long addr) {
return new MatOfRotatedRect(addr);
}
public MatOfRotatedRect(Mat m) {
super(m, Range.all());
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incompatible Mat");
//FIXME: do we need release() here?
}
public MatOfRotatedRect(RotatedRect...a) {
super();
fromArray(a);
}
public void alloc(int elemNumber) {
if(elemNumber>0)
super.create(elemNumber, 1, CvType.makeType(_depth, _channels));
}
public void fromArray(RotatedRect...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++) {
RotatedRect r = a[i];
buff[_channels*i+0] = (float) r.center.x;
buff[_channels*i+1] = (float) r.center.y;
buff[_channels*i+2] = (float) r.size.width;
buff[_channels*i+3] = (float) r.size.height;
buff[_channels*i+4] = (float) r.angle;
}
put(0, 0, buff); //TODO: check ret val!
}
public RotatedRect[] toArray() {
int num = (int) total();
RotatedRect[] a = new RotatedRect[num];
if(num == 0)
return a;
float buff[] = new float[_channels];
for(int i=0; i<num; i++) {
get(i, 0, buff); //TODO: check ret val!
a[i] = new RotatedRect(new Point(buff[0],buff[1]),new Size(buff[2],buff[3]),buff[4]);
}
return a;
}
public void fromList(List<RotatedRect> lr) {
RotatedRect ap[] = lr.toArray(new RotatedRect[0]);
fromArray(ap);
}
public List<RotatedRect> toList() {
RotatedRect[] ar = toArray();
return Arrays.asList(ar);
}
}

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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 + "}";
}
}

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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 + "}";
}
}

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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 + ")";
}
}

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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 + "}";
}
}

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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 + "}";
}
}

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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.y = 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 + " }";
}
}

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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] + "]";
}
}

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OpenCV/src/main/java/org/opencv/core/Size.java Normal file
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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;
}
}

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OpenCV/src/main/java/org/opencv/core/TermCriteria.java Normal file
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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 + "}";
}
}

184
OpenCV/src/main/java/org/opencv/core/TickMeter.java Normal file
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//
// 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++: cv::TickMeter::TickMeter()
//
//javadoc: TickMeter::TickMeter()
public TickMeter()
{
nativeObj = TickMeter_0();
return;
}
//
// C++: double cv::TickMeter::getTimeMicro()
//
//javadoc: TickMeter::getTimeMicro()
public double getTimeMicro()
{
double retVal = getTimeMicro_0(nativeObj);
return retVal;
}
//
// C++: double cv::TickMeter::getTimeMilli()
//
//javadoc: TickMeter::getTimeMilli()
public double getTimeMilli()
{
double retVal = getTimeMilli_0(nativeObj);
return retVal;
}
//
// C++: double cv::TickMeter::getTimeSec()
//
//javadoc: TickMeter::getTimeSec()
public double getTimeSec()
{
double retVal = getTimeSec_0(nativeObj);
return retVal;
}
//
// C++: int64 cv::TickMeter::getCounter()
//
//javadoc: TickMeter::getCounter()
public long getCounter()
{
long retVal = getCounter_0(nativeObj);
return retVal;
}
//
// C++: int64 cv::TickMeter::getTimeTicks()
//
//javadoc: TickMeter::getTimeTicks()
public long getTimeTicks()
{
long retVal = getTimeTicks_0(nativeObj);
return retVal;
}
//
// C++: void cv::TickMeter::reset()
//
//javadoc: TickMeter::reset()
public void reset()
{
reset_0(nativeObj);
return;
}
//
// C++: void cv::TickMeter::start()
//
//javadoc: TickMeter::start()
public void start()
{
start_0(nativeObj);
return;
}
//
// C++: void cv::TickMeter::stop()
//
//javadoc: TickMeter::stop()
public void stop()
{
stop_0(nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: cv::TickMeter::TickMeter()
private static native long TickMeter_0();
// C++: double cv::TickMeter::getTimeMicro()
private static native double getTimeMicro_0(long nativeObj);
// C++: double cv::TickMeter::getTimeMilli()
private static native double getTimeMilli_0(long nativeObj);
// C++: double cv::TickMeter::getTimeSec()
private static native double getTimeSec_0(long nativeObj);
// C++: int64 cv::TickMeter::getCounter()
private static native long getCounter_0(long nativeObj);
// C++: int64 cv::TickMeter::getTimeTicks()
private static native long getTimeTicks_0(long nativeObj);
// C++: void cv::TickMeter::reset()
private static native void reset_0(long nativeObj);
// C++: void cv::TickMeter::start()
private static native void start_0(long nativeObj);
// C++: void cv::TickMeter::stop()
private static native void stop_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

214
OpenCV/src/main/java/org/opencv/dnn/DictValue.java Normal file
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//
// 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++: cv::dnn::DictValue::DictValue(String s)
//
//javadoc: DictValue::DictValue(s)
public DictValue(String s)
{
nativeObj = DictValue_0(s);
return;
}
//
// C++: cv::dnn::DictValue::DictValue(double p)
//
//javadoc: DictValue::DictValue(p)
public DictValue(double p)
{
nativeObj = DictValue_1(p);
return;
}
//
// C++: cv::dnn::DictValue::DictValue(int i)
//
//javadoc: DictValue::DictValue(i)
public DictValue(int i)
{
nativeObj = DictValue_2(i);
return;
}
//
// C++: String cv::dnn::DictValue::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 cv::dnn::DictValue::isInt()
//
//javadoc: DictValue::isInt()
public boolean isInt()
{
boolean retVal = isInt_0(nativeObj);
return retVal;
}
//
// C++: bool cv::dnn::DictValue::isReal()
//
//javadoc: DictValue::isReal()
public boolean isReal()
{
boolean retVal = isReal_0(nativeObj);
return retVal;
}
//
// C++: bool cv::dnn::DictValue::isString()
//
//javadoc: DictValue::isString()
public boolean isString()
{
boolean retVal = isString_0(nativeObj);
return retVal;
}
//
// C++: double cv::dnn::DictValue::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 cv::dnn::DictValue::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++: cv::dnn::DictValue::DictValue(String s)
private static native long DictValue_0(String s);
// C++: cv::dnn::DictValue::DictValue(double p)
private static native long DictValue_1(double p);
// C++: cv::dnn::DictValue::DictValue(int i)
private static native long DictValue_2(int i);
// C++: String cv::dnn::DictValue::getStringValue(int idx = -1)
private static native String getStringValue_0(long nativeObj, int idx);
private static native String getStringValue_1(long nativeObj);
// C++: bool cv::dnn::DictValue::isInt()
private static native boolean isInt_0(long nativeObj);
// C++: bool cv::dnn::DictValue::isReal()
private static native boolean isReal_0(long nativeObj);
// C++: bool cv::dnn::DictValue::isString()
private static native boolean isString_0(long nativeObj);
// C++: double cv::dnn::DictValue::getRealValue(int idx = -1)
private static native double getRealValue_0(long nativeObj, int idx);
private static native double getRealValue_1(long nativeObj);
// C++: int cv::dnn::DictValue::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);
}

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OpenCV/src/main/java/org/opencv/dnn/Dnn.java Normal file
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//
// 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.MatOfByte;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfRect;
import org.opencv.core.MatOfRect2d;
import org.opencv.core.MatOfRotatedRect;
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 {
// C++: enum Backend
public static final int
DNN_BACKEND_DEFAULT = 0,
DNN_BACKEND_HALIDE = 1,
DNN_BACKEND_INFERENCE_ENGINE = 2,
DNN_BACKEND_OPENCV = 3,
DNN_BACKEND_VKCOM = 4;
// C++: enum Target
public static final int
DNN_TARGET_CPU = 0,
DNN_TARGET_OPENCL = 1,
DNN_TARGET_OPENCL_FP16 = 2,
DNN_TARGET_MYRIAD = 3,
DNN_TARGET_VULKAN = 4,
DNN_TARGET_FPGA = 5;
//
// C++: Mat cv::dnn::blobFromImage(Mat image, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = false, bool crop = false, int ddepth = CV_32F)
//
//javadoc: blobFromImage(image, scalefactor, size, mean, swapRB, crop, ddepth)
public static Mat blobFromImage(Mat image, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop, int ddepth)
{
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, ddepth));
return retVal;
}
//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_1(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, scalefactor, size, mean, swapRB)
public static Mat blobFromImage(Mat image, double scalefactor, Size size, Scalar mean, boolean swapRB)
{
Mat retVal = new Mat(blobFromImage_2(image.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3], swapRB));
return retVal;
}
//javadoc: blobFromImage(image, scalefactor, size, mean)
public static Mat blobFromImage(Mat image, double scalefactor, Size size, Scalar mean)
{
Mat retVal = new Mat(blobFromImage_3(image.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3]));
return retVal;
}
//javadoc: blobFromImage(image, scalefactor, size)
public static Mat blobFromImage(Mat image, double scalefactor, Size size)
{
Mat retVal = new Mat(blobFromImage_4(image.nativeObj, scalefactor, size.width, size.height));
return retVal;
}
//javadoc: blobFromImage(image, scalefactor)
public static Mat blobFromImage(Mat image, double scalefactor)
{
Mat retVal = new Mat(blobFromImage_5(image.nativeObj, scalefactor));
return retVal;
}
//javadoc: blobFromImage(image)
public static Mat blobFromImage(Mat image)
{
Mat retVal = new Mat(blobFromImage_6(image.nativeObj));
return retVal;
}
//
// C++: Mat cv::dnn::blobFromImages(vector_Mat images, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = false, bool crop = false, int ddepth = CV_32F)
//
//javadoc: blobFromImages(images, scalefactor, size, mean, swapRB, crop, ddepth)
public static Mat blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop, int ddepth)
{
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, ddepth));
return retVal;
}
//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_1(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, scalefactor, size, mean, swapRB)
public static Mat blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean, boolean swapRB)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_2(images_mat.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3], swapRB));
return retVal;
}
//javadoc: blobFromImages(images, scalefactor, size, mean)
public static Mat blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_3(images_mat.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3]));
return retVal;
}
//javadoc: blobFromImages(images, scalefactor, size)
public static Mat blobFromImages(List<Mat> images, double scalefactor, Size size)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_4(images_mat.nativeObj, scalefactor, size.width, size.height));
return retVal;
}
//javadoc: blobFromImages(images, scalefactor)
public static Mat blobFromImages(List<Mat> images, double scalefactor)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_5(images_mat.nativeObj, scalefactor));
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_6(images_mat.nativeObj));
return retVal;
}
//
// C++: Mat cv::dnn::readTensorFromONNX(String path)
//
//javadoc: readTensorFromONNX(path)
public static Mat readTensorFromONNX(String path)
{
Mat retVal = new Mat(readTensorFromONNX_0(path));
return retVal;
}
//
// C++: Mat cv::dnn::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 cv::dnn::readNet(String framework, vector_uchar bufferModel, vector_uchar bufferConfig = std::vector<uchar>())
//
//javadoc: readNet(framework, bufferModel, bufferConfig)
public static Net readNet(String framework, MatOfByte bufferModel, MatOfByte bufferConfig)
{
Mat bufferModel_mat = bufferModel;
Mat bufferConfig_mat = bufferConfig;
Net retVal = new Net(readNet_0(framework, bufferModel_mat.nativeObj, bufferConfig_mat.nativeObj));
return retVal;
}
//javadoc: readNet(framework, bufferModel)
public static Net readNet(String framework, MatOfByte bufferModel)
{
Mat bufferModel_mat = bufferModel;
Net retVal = new Net(readNet_1(framework, bufferModel_mat.nativeObj));
return retVal;
}
//
// C++: Net cv::dnn::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_2(model, config, framework));
return retVal;
}
//javadoc: readNet(model, config)
public static Net readNet(String model, String config)
{
Net retVal = new Net(readNet_3(model, config));
return retVal;
}
//javadoc: readNet(model)
public static Net readNet(String model)
{
Net retVal = new Net(readNet_4(model));
return retVal;
}
//
// C++: Net cv::dnn::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 cv::dnn::readNetFromCaffe(vector_uchar bufferProto, vector_uchar bufferModel = std::vector<uchar>())
//
//javadoc: readNetFromCaffe(bufferProto, bufferModel)
public static Net readNetFromCaffe(MatOfByte bufferProto, MatOfByte bufferModel)
{
Mat bufferProto_mat = bufferProto;
Mat bufferModel_mat = bufferModel;
Net retVal = new Net(readNetFromCaffe_2(bufferProto_mat.nativeObj, bufferModel_mat.nativeObj));
return retVal;
}
//javadoc: readNetFromCaffe(bufferProto)
public static Net readNetFromCaffe(MatOfByte bufferProto)
{
Mat bufferProto_mat = bufferProto;
Net retVal = new Net(readNetFromCaffe_3(bufferProto_mat.nativeObj));
return retVal;
}
//
// C++: Net cv::dnn::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 cv::dnn::readNetFromDarknet(vector_uchar bufferCfg, vector_uchar bufferModel = std::vector<uchar>())
//
//javadoc: readNetFromDarknet(bufferCfg, bufferModel)
public static Net readNetFromDarknet(MatOfByte bufferCfg, MatOfByte bufferModel)
{
Mat bufferCfg_mat = bufferCfg;
Mat bufferModel_mat = bufferModel;
Net retVal = new Net(readNetFromDarknet_2(bufferCfg_mat.nativeObj, bufferModel_mat.nativeObj));
return retVal;
}
//javadoc: readNetFromDarknet(bufferCfg)
public static Net readNetFromDarknet(MatOfByte bufferCfg)
{
Mat bufferCfg_mat = bufferCfg;
Net retVal = new Net(readNetFromDarknet_3(bufferCfg_mat.nativeObj));
return retVal;
}
//
// C++: Net cv::dnn::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 cv::dnn::readNetFromONNX(String onnxFile)
//
//javadoc: readNetFromONNX(onnxFile)
public static Net readNetFromONNX(String onnxFile)
{
Net retVal = new Net(readNetFromONNX_0(onnxFile));
return retVal;
}
//
// C++: Net cv::dnn::readNetFromONNX(vector_uchar buffer)
//
//javadoc: readNetFromONNX(buffer)
public static Net readNetFromONNX(MatOfByte buffer)
{
Mat buffer_mat = buffer;
Net retVal = new Net(readNetFromONNX_1(buffer_mat.nativeObj));
return retVal;
}
//
// C++: Net cv::dnn::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 cv::dnn::readNetFromTensorflow(vector_uchar bufferModel, vector_uchar bufferConfig = std::vector<uchar>())
//
//javadoc: readNetFromTensorflow(bufferModel, bufferConfig)
public static Net readNetFromTensorflow(MatOfByte bufferModel, MatOfByte bufferConfig)
{
Mat bufferModel_mat = bufferModel;
Mat bufferConfig_mat = bufferConfig;
Net retVal = new Net(readNetFromTensorflow_2(bufferModel_mat.nativeObj, bufferConfig_mat.nativeObj));
return retVal;
}
//javadoc: readNetFromTensorflow(bufferModel)
public static Net readNetFromTensorflow(MatOfByte bufferModel)
{
Mat bufferModel_mat = bufferModel;
Net retVal = new Net(readNetFromTensorflow_3(bufferModel_mat.nativeObj));
return retVal;
}
//
// C++: Net cv::dnn::readNetFromTorch(String model, bool isBinary = true, bool evaluate = true)
//
//javadoc: readNetFromTorch(model, isBinary, evaluate)
public static Net readNetFromTorch(String model, boolean isBinary, boolean evaluate)
{
Net retVal = new Net(readNetFromTorch_0(model, isBinary, evaluate));
return retVal;
}
//javadoc: readNetFromTorch(model, isBinary)
public static Net readNetFromTorch(String model, boolean isBinary)
{
Net retVal = new Net(readNetFromTorch_1(model, isBinary));
return retVal;
}
//javadoc: readNetFromTorch(model)
public static Net readNetFromTorch(String model)
{
Net retVal = new Net(readNetFromTorch_2(model));
return retVal;
}
//
// C++: String cv::dnn::getInferenceEngineVPUType()
//
//javadoc: getInferenceEngineVPUType()
public static String getInferenceEngineVPUType()
{
String retVal = getInferenceEngineVPUType_0();
return retVal;
}
//
// C++: void cv::dnn::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, eta)
public static void NMSBoxes(MatOfRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta)
{
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, eta);
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_2(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj);
return;
}
//
// C++: void cv::dnn::NMSBoxes(vector_Rect2d 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(MatOfRect2d 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_3(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, eta)
public static void NMSBoxes(MatOfRect2d bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxes_4(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj, eta);
return;
}
//javadoc: NMSBoxes(bboxes, scores, score_threshold, nms_threshold, indices)
public static void NMSBoxes(MatOfRect2d bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxes_5(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj);
return;
}
//
// C++: void cv::dnn::NMSBoxes(vector_RotatedRect bboxes, vector_float scores, float score_threshold, float nms_threshold, vector_int& indices, float eta = 1.f, int top_k = 0)
//
//javadoc: NMSBoxesRotated(bboxes, scores, score_threshold, nms_threshold, indices, eta, top_k)
public static void NMSBoxesRotated(MatOfRotatedRect 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;
NMSBoxesRotated_0(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj, eta, top_k);
return;
}
//javadoc: NMSBoxesRotated(bboxes, scores, score_threshold, nms_threshold, indices, eta)
public static void NMSBoxesRotated(MatOfRotatedRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxesRotated_1(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj, eta);
return;
}
//javadoc: NMSBoxesRotated(bboxes, scores, score_threshold, nms_threshold, indices)
public static void NMSBoxesRotated(MatOfRotatedRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxesRotated_2(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj);
return;
}
//
// C++: void cv::dnn::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 cv::dnn::resetMyriadDevice()
//
//javadoc: resetMyriadDevice()
public static void resetMyriadDevice()
{
resetMyriadDevice_0();
return;
}
//
// C++: void cv::dnn::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++: void cv::dnn::writeTextGraph(String model, String output)
//
//javadoc: writeTextGraph(model, output)
public static void writeTextGraph(String model, String output)
{
writeTextGraph_0(model, output);
return;
}
// C++: Mat cv::dnn::blobFromImage(Mat image, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = false, bool crop = false, int ddepth = CV_32F)
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, int ddepth);
private static native long blobFromImage_1(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_2(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);
private static native long blobFromImage_3(long image_nativeObj, double scalefactor, double size_width, double size_height, double mean_val0, double mean_val1, double mean_val2, double mean_val3);
private static native long blobFromImage_4(long image_nativeObj, double scalefactor, double size_width, double size_height);
private static native long blobFromImage_5(long image_nativeObj, double scalefactor);
private static native long blobFromImage_6(long image_nativeObj);
// C++: Mat cv::dnn::blobFromImages(vector_Mat images, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = false, bool crop = false, int ddepth = CV_32F)
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, int ddepth);
private static native long blobFromImages_1(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_2(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);
private static native long blobFromImages_3(long images_mat_nativeObj, double scalefactor, double size_width, double size_height, double mean_val0, double mean_val1, double mean_val2, double mean_val3);
private static native long blobFromImages_4(long images_mat_nativeObj, double scalefactor, double size_width, double size_height);
private static native long blobFromImages_5(long images_mat_nativeObj, double scalefactor);
private static native long blobFromImages_6(long images_mat_nativeObj);
// C++: Mat cv::dnn::readTensorFromONNX(String path)
private static native long readTensorFromONNX_0(String path);
// C++: Mat cv::dnn::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 cv::dnn::readNet(String framework, vector_uchar bufferModel, vector_uchar bufferConfig = std::vector<uchar>())
private static native long readNet_0(String framework, long bufferModel_mat_nativeObj, long bufferConfig_mat_nativeObj);
private static native long readNet_1(String framework, long bufferModel_mat_nativeObj);
// C++: Net cv::dnn::readNet(String model, String config = "", String framework = "")
private static native long readNet_2(String model, String config, String framework);
private static native long readNet_3(String model, String config);
private static native long readNet_4(String model);
// C++: Net cv::dnn::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 cv::dnn::readNetFromCaffe(vector_uchar bufferProto, vector_uchar bufferModel = std::vector<uchar>())
private static native long readNetFromCaffe_2(long bufferProto_mat_nativeObj, long bufferModel_mat_nativeObj);
private static native long readNetFromCaffe_3(long bufferProto_mat_nativeObj);
// C++: Net cv::dnn::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 cv::dnn::readNetFromDarknet(vector_uchar bufferCfg, vector_uchar bufferModel = std::vector<uchar>())
private static native long readNetFromDarknet_2(long bufferCfg_mat_nativeObj, long bufferModel_mat_nativeObj);
private static native long readNetFromDarknet_3(long bufferCfg_mat_nativeObj);
// C++: Net cv::dnn::readNetFromModelOptimizer(String xml, String bin)
private static native long readNetFromModelOptimizer_0(String xml, String bin);
// C++: Net cv::dnn::readNetFromONNX(String onnxFile)
private static native long readNetFromONNX_0(String onnxFile);
// C++: Net cv::dnn::readNetFromONNX(vector_uchar buffer)
private static native long readNetFromONNX_1(long buffer_mat_nativeObj);
// C++: Net cv::dnn::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 cv::dnn::readNetFromTensorflow(vector_uchar bufferModel, vector_uchar bufferConfig = std::vector<uchar>())
private static native long readNetFromTensorflow_2(long bufferModel_mat_nativeObj, long bufferConfig_mat_nativeObj);
private static native long readNetFromTensorflow_3(long bufferModel_mat_nativeObj);
// C++: Net cv::dnn::readNetFromTorch(String model, bool isBinary = true, bool evaluate = true)
private static native long readNetFromTorch_0(String model, boolean isBinary, boolean evaluate);
private static native long readNetFromTorch_1(String model, boolean isBinary);
private static native long readNetFromTorch_2(String model);
// C++: String cv::dnn::getInferenceEngineVPUType()
private static native String getInferenceEngineVPUType_0();
// C++: void cv::dnn::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, float eta);
private static native void NMSBoxes_2(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj);
// C++: void cv::dnn::NMSBoxes(vector_Rect2d 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_3(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_4(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj, float eta);
private static native void NMSBoxes_5(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj);
// C++: void cv::dnn::NMSBoxes(vector_RotatedRect 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 NMSBoxesRotated_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 NMSBoxesRotated_1(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj, float eta);
private static native void NMSBoxesRotated_2(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj);
// C++: void cv::dnn::imagesFromBlob(Mat blob_, vector_Mat& images_)
private static native void imagesFromBlob_0(long blob__nativeObj, long images__mat_nativeObj);
// C++: void cv::dnn::resetMyriadDevice()
private static native void resetMyriadDevice_0();
// C++: void cv::dnn::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);
// C++: void cv::dnn::writeTextGraph(String model, String output)
private static native void writeTextGraph_0(String model, String output);
}

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//
// 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 cv::dnn::Layer::outputNameToIndex(String outputName)
//
//javadoc: Layer::outputNameToIndex(outputName)
public int outputNameToIndex(String outputName)
{
int retVal = outputNameToIndex_0(nativeObj, outputName);
return retVal;
}
//
// C++: void cv::dnn::Layer::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_0(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj);
Converters.Mat_to_vector_Mat(outputs_mat, outputs);
outputs_mat.release();
return;
}
//
// C++: void cv::dnn::Layer::run(vector_Mat inputs, vector_Mat& outputs, vector_Mat& internals)
//
//javadoc: Layer::run(inputs, outputs, internals)
@Deprecated
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 cv::dnn::Layer::outputNameToIndex(String outputName)
private static native int outputNameToIndex_0(long nativeObj, String outputName);
// C++: void cv::dnn::Layer::finalize(vector_Mat inputs, vector_Mat& outputs)
private static native void finalize_0(long nativeObj, long inputs_mat_nativeObj, long outputs_mat_nativeObj);
// C++: void cv::dnn::Layer::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);
}

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//
// 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.core.Scalar;
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++: cv::dnn::Net::Net()
//
//javadoc: Net::Net()
public Net()
{
nativeObj = Net_0();
return;
}
//
// C++: AsyncMat cv::dnn::Net::forwardAsync(String outputName = String())
//
// Return type 'AsyncMat' is not supported, skipping the function
//
// C++: Mat cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::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 cv::dnn::Net::getLayer(LayerId layerId)
//
//javadoc: Net::getLayer(layerId)
public Layer getLayer(DictValue layerId)
{
Layer retVal = Layer.__fromPtr__(getLayer_0(nativeObj, layerId.getNativeObjAddr()));
return retVal;
}
//
// C++: String cv::dnn::Net::dump()
//
//javadoc: Net::dump()
public String dump()
{
String retVal = dump_0(nativeObj);
return retVal;
}
//
// C++: bool cv::dnn::Net::empty()
//
//javadoc: Net::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: int cv::dnn::Net::getLayerId(String layer)
//
//javadoc: Net::getLayerId(layer)
public int getLayerId(String layer)
{
int retVal = getLayerId_0(nativeObj, layer);
return retVal;
}
//
// C++: int cv::dnn::Net::getLayersCount(String layerType)
//
//javadoc: Net::getLayersCount(layerType)
public int getLayersCount(String layerType)
{
int retVal = getLayersCount_0(nativeObj, layerType);
return retVal;
}
//
// C++: int64 cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::getFLOPS(vector_MatShape netInputShapes)
//
//javadoc: Net::getFLOPS(netInputShapes)
public long getFLOPS(List<MatOfInt> netInputShapes)
{
long retVal = getFLOPS_3(nativeObj, netInputShapes);
return retVal;
}
//
// C++: int64 cv::dnn::Net::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 cv::dnn::Net::getLayerNames()
//
//javadoc: Net::getLayerNames()
public List<String> getLayerNames()
{
List<String> retVal = getLayerNames_0(nativeObj);
return retVal;
}
//
// C++: vector_String cv::dnn::Net::getUnconnectedOutLayersNames()
//
//javadoc: Net::getUnconnectedOutLayersNames()
public List<String> getUnconnectedOutLayersNames()
{
List<String> retVal = getUnconnectedOutLayersNames_0(nativeObj);
return retVal;
}
//
// C++: vector_int cv::dnn::Net::getUnconnectedOutLayers()
//
//javadoc: Net::getUnconnectedOutLayers()
public MatOfInt getUnconnectedOutLayers()
{
MatOfInt retVal = MatOfInt.fromNativeAddr(getUnconnectedOutLayers_0(nativeObj));
return retVal;
}
//
// C++: void cv::dnn::Net::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 cv::dnn::Net::dumpToFile(String path)
//
//javadoc: Net::dumpToFile(path)
public void dumpToFile(String path)
{
dumpToFile_0(nativeObj, path);
return;
}
//
// C++: void cv::dnn::Net::enableFusion(bool fusion)
//
//javadoc: Net::enableFusion(fusion)
public void enableFusion(boolean fusion)
{
enableFusion_0(nativeObj, fusion);
return;
}
//
// C++: void cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::forward(vector_vector_Mat& outputBlobs, vector_String outBlobNames)
//
// Unknown type 'vector_vector_Mat' (O), skipping the function
//
// C++: void cv::dnn::Net::getLayerTypes(vector_String& layersTypes)
//
//javadoc: Net::getLayerTypes(layersTypes)
public void getLayerTypes(List<String> layersTypes)
{
getLayerTypes_0(nativeObj, layersTypes);
return;
}
//
// C++: void cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::setHalideScheduler(String scheduler)
//
//javadoc: Net::setHalideScheduler(scheduler)
public void setHalideScheduler(String scheduler)
{
setHalideScheduler_0(nativeObj, scheduler);
return;
}
//
// C++: void cv::dnn::Net::setInput(Mat blob, String name = "", double scalefactor = 1.0, Scalar mean = Scalar())
//
//javadoc: Net::setInput(blob, name, scalefactor, mean)
public void setInput(Mat blob, String name, double scalefactor, Scalar mean)
{
setInput_0(nativeObj, blob.nativeObj, name, scalefactor, mean.val[0], mean.val[1], mean.val[2], mean.val[3]);
return;
}
//javadoc: Net::setInput(blob, name, scalefactor)
public void setInput(Mat blob, String name, double scalefactor)
{
setInput_1(nativeObj, blob.nativeObj, name, scalefactor);
return;
}
//javadoc: Net::setInput(blob, name)
public void setInput(Mat blob, String name)
{
setInput_2(nativeObj, blob.nativeObj, name);
return;
}
//javadoc: Net::setInput(blob)
public void setInput(Mat blob)
{
setInput_3(nativeObj, blob.nativeObj);
return;
}
//
// C++: void cv::dnn::Net::setInputsNames(vector_String inputBlobNames)
//
//javadoc: Net::setInputsNames(inputBlobNames)
public void setInputsNames(List<String> inputBlobNames)
{
setInputsNames_0(nativeObj, inputBlobNames);
return;
}
//
// C++: void cv::dnn::Net::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 cv::dnn::Net::setPreferableBackend(int backendId)
//
//javadoc: Net::setPreferableBackend(backendId)
public void setPreferableBackend(int backendId)
{
setPreferableBackend_0(nativeObj, backendId);
return;
}
//
// C++: void cv::dnn::Net::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++: cv::dnn::Net::Net()
private static native long Net_0();
// C++: Mat cv::dnn::Net::forward(String outputName = String())
private static native long forward_0(long nativeObj, String outputName);
private static native long forward_1(long nativeObj);
// C++: Mat cv::dnn::Net::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 cv::dnn::Net::readFromModelOptimizer(String xml, String bin)
private static native long readFromModelOptimizer_0(String xml, String bin);
// C++: Ptr_Layer cv::dnn::Net::getLayer(LayerId layerId)
private static native long getLayer_0(long nativeObj, long layerId_nativeObj);
// C++: String cv::dnn::Net::dump()
private static native String dump_0(long nativeObj);
// C++: bool cv::dnn::Net::empty()
private static native boolean empty_0(long nativeObj);
// C++: int cv::dnn::Net::getLayerId(String layer)
private static native int getLayerId_0(long nativeObj, String layer);
// C++: int cv::dnn::Net::getLayersCount(String layerType)
private static native int getLayersCount_0(long nativeObj, String layerType);
// C++: int64 cv::dnn::Net::getFLOPS(MatShape netInputShape)
private static native long getFLOPS_0(long nativeObj, long netInputShape_mat_nativeObj);
// C++: int64 cv::dnn::Net::getFLOPS(int layerId, MatShape netInputShape)
private static native long getFLOPS_1(long nativeObj, int layerId, long netInputShape_mat_nativeObj);
// C++: int64 cv::dnn::Net::getFLOPS(int layerId, vector_MatShape netInputShapes)
private static native long getFLOPS_2(long nativeObj, int layerId, List<MatOfInt> netInputShapes);
// C++: int64 cv::dnn::Net::getFLOPS(vector_MatShape netInputShapes)
private static native long getFLOPS_3(long nativeObj, List<MatOfInt> netInputShapes);
// C++: int64 cv::dnn::Net::getPerfProfile(vector_double& timings)
private static native long getPerfProfile_0(long nativeObj, long timings_mat_nativeObj);
// C++: vector_String cv::dnn::Net::getLayerNames()
private static native List<String> getLayerNames_0(long nativeObj);
// C++: vector_String cv::dnn::Net::getUnconnectedOutLayersNames()
private static native List<String> getUnconnectedOutLayersNames_0(long nativeObj);
// C++: vector_int cv::dnn::Net::getUnconnectedOutLayers()
private static native long getUnconnectedOutLayers_0(long nativeObj);
// C++: void cv::dnn::Net::connect(String outPin, String inpPin)
private static native void connect_0(long nativeObj, String outPin, String inpPin);
// C++: void cv::dnn::Net::dumpToFile(String path)
private static native void dumpToFile_0(long nativeObj, String path);
// C++: void cv::dnn::Net::enableFusion(bool fusion)
private static native void enableFusion_0(long nativeObj, boolean fusion);
// C++: void cv::dnn::Net::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 cv::dnn::Net::forward(vector_Mat& outputBlobs, vector_String outBlobNames)
private static native void forward_4(long nativeObj, long outputBlobs_mat_nativeObj, List<String> outBlobNames);
// C++: void cv::dnn::Net::getLayerTypes(vector_String& layersTypes)
private static native void getLayerTypes_0(long nativeObj, List<String> layersTypes);
// C++: void cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::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 cv::dnn::Net::setHalideScheduler(String scheduler)
private static native void setHalideScheduler_0(long nativeObj, String scheduler);
// C++: void cv::dnn::Net::setInput(Mat blob, String name = "", double scalefactor = 1.0, Scalar mean = Scalar())
private static native void setInput_0(long nativeObj, long blob_nativeObj, String name, double scalefactor, double mean_val0, double mean_val1, double mean_val2, double mean_val3);
private static native void setInput_1(long nativeObj, long blob_nativeObj, String name, double scalefactor);
private static native void setInput_2(long nativeObj, long blob_nativeObj, String name);
private static native void setInput_3(long nativeObj, long blob_nativeObj);
// C++: void cv::dnn::Net::setInputsNames(vector_String inputBlobNames)
private static native void setInputsNames_0(long nativeObj, List<String> inputBlobNames);
// C++: void cv::dnn::Net::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 cv::dnn::Net::setPreferableBackend(int backendId)
private static native void setPreferableBackend_0(long nativeObj, int backendId);
// C++: void cv::dnn::Net::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);
}

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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.face.BIF;
// C++: class BIF
//javadoc: BIF
public class BIF extends Algorithm {
protected BIF(long addr) { super(addr); }
// internal usage only
public static BIF __fromPtr__(long addr) { return new BIF(addr); }
//
// C++: static Ptr_BIF cv::face::BIF::create(int num_bands = 8, int num_rotations = 12)
//
//javadoc: BIF::create(num_bands, num_rotations)
public static BIF create(int num_bands, int num_rotations)
{
BIF retVal = BIF.__fromPtr__(create_0(num_bands, num_rotations));
return retVal;
}
//javadoc: BIF::create(num_bands)
public static BIF create(int num_bands)
{
BIF retVal = BIF.__fromPtr__(create_1(num_bands));
return retVal;
}
//javadoc: BIF::create()
public static BIF create()
{
BIF retVal = BIF.__fromPtr__(create_2());
return retVal;
}
//
// C++: int cv::face::BIF::getNumBands()
//
//javadoc: BIF::getNumBands()
public int getNumBands()
{
int retVal = getNumBands_0(nativeObj);
return retVal;
}
//
// C++: int cv::face::BIF::getNumRotations()
//
//javadoc: BIF::getNumRotations()
public int getNumRotations()
{
int retVal = getNumRotations_0(nativeObj);
return retVal;
}
//
// C++: void cv::face::BIF::compute(Mat image, Mat& features)
//
//javadoc: BIF::compute(image, features)
public void compute(Mat image, Mat features)
{
compute_0(nativeObj, image.nativeObj, features.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_BIF cv::face::BIF::create(int num_bands = 8, int num_rotations = 12)
private static native long create_0(int num_bands, int num_rotations);
private static native long create_1(int num_bands);
private static native long create_2();
// C++: int cv::face::BIF::getNumBands()
private static native int getNumBands_0(long nativeObj);
// C++: int cv::face::BIF::getNumRotations()
private static native int getNumRotations_0(long nativeObj);
// C++: void cv::face::BIF::compute(Mat image, Mat& features)
private static native void compute_0(long nativeObj, long image_nativeObj, long features_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

185
OpenCV/src/main/java/org/opencv/face/BasicFaceRecognizer.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.face.FaceRecognizer;
import org.opencv.utils.Converters;
// C++: class BasicFaceRecognizer
//javadoc: BasicFaceRecognizer
public class BasicFaceRecognizer extends FaceRecognizer {
protected BasicFaceRecognizer(long addr) { super(addr); }
// internal usage only
public static BasicFaceRecognizer __fromPtr__(long addr) { return new BasicFaceRecognizer(addr); }
//
// C++: Mat cv::face::BasicFaceRecognizer::getEigenValues()
//
//javadoc: BasicFaceRecognizer::getEigenValues()
public Mat getEigenValues()
{
Mat retVal = new Mat(getEigenValues_0(nativeObj));
return retVal;
}
//
// C++: Mat cv::face::BasicFaceRecognizer::getEigenVectors()
//
//javadoc: BasicFaceRecognizer::getEigenVectors()
public Mat getEigenVectors()
{
Mat retVal = new Mat(getEigenVectors_0(nativeObj));
return retVal;
}
//
// C++: Mat cv::face::BasicFaceRecognizer::getLabels()
//
//javadoc: BasicFaceRecognizer::getLabels()
public Mat getLabels()
{
Mat retVal = new Mat(getLabels_0(nativeObj));
return retVal;
}
//
// C++: Mat cv::face::BasicFaceRecognizer::getMean()
//
//javadoc: BasicFaceRecognizer::getMean()
public Mat getMean()
{
Mat retVal = new Mat(getMean_0(nativeObj));
return retVal;
}
//
// C++: double cv::face::BasicFaceRecognizer::getThreshold()
//
//javadoc: BasicFaceRecognizer::getThreshold()
public double getThreshold()
{
double retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int cv::face::BasicFaceRecognizer::getNumComponents()
//
//javadoc: BasicFaceRecognizer::getNumComponents()
public int getNumComponents()
{
int retVal = getNumComponents_0(nativeObj);
return retVal;
}
//
// C++: vector_Mat cv::face::BasicFaceRecognizer::getProjections()
//
//javadoc: BasicFaceRecognizer::getProjections()
public List<Mat> getProjections()
{
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(getProjections_0(nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void cv::face::BasicFaceRecognizer::setNumComponents(int val)
//
//javadoc: BasicFaceRecognizer::setNumComponents(val)
public void setNumComponents(int val)
{
setNumComponents_0(nativeObj, val);
return;
}
//
// C++: void cv::face::BasicFaceRecognizer::setThreshold(double val)
//
//javadoc: BasicFaceRecognizer::setThreshold(val)
public void setThreshold(double val)
{
setThreshold_0(nativeObj, val);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat cv::face::BasicFaceRecognizer::getEigenValues()
private static native long getEigenValues_0(long nativeObj);
// C++: Mat cv::face::BasicFaceRecognizer::getEigenVectors()
private static native long getEigenVectors_0(long nativeObj);
// C++: Mat cv::face::BasicFaceRecognizer::getLabels()
private static native long getLabels_0(long nativeObj);
// C++: Mat cv::face::BasicFaceRecognizer::getMean()
private static native long getMean_0(long nativeObj);
// C++: double cv::face::BasicFaceRecognizer::getThreshold()
private static native double getThreshold_0(long nativeObj);
// C++: int cv::face::BasicFaceRecognizer::getNumComponents()
private static native int getNumComponents_0(long nativeObj);
// C++: vector_Mat cv::face::BasicFaceRecognizer::getProjections()
private static native long getProjections_0(long nativeObj);
// C++: void cv::face::BasicFaceRecognizer::setNumComponents(int val)
private static native void setNumComponents_0(long nativeObj, int val);
// C++: void cv::face::BasicFaceRecognizer::setThreshold(double val)
private static native void setThreshold_0(long nativeObj, double val);
// native support for java finalize()
private static native void delete(long nativeObj);
}

66
OpenCV/src/main/java/org/opencv/face/EigenFaceRecognizer.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
import org.opencv.face.BasicFaceRecognizer;
import org.opencv.face.EigenFaceRecognizer;
// C++: class EigenFaceRecognizer
//javadoc: EigenFaceRecognizer
public class EigenFaceRecognizer extends BasicFaceRecognizer {
protected EigenFaceRecognizer(long addr) { super(addr); }
// internal usage only
public static EigenFaceRecognizer __fromPtr__(long addr) { return new EigenFaceRecognizer(addr); }
//
// C++: static Ptr_EigenFaceRecognizer cv::face::EigenFaceRecognizer::create(int num_components = 0, double threshold = DBL_MAX)
//
//javadoc: EigenFaceRecognizer::create(num_components, threshold)
public static EigenFaceRecognizer create(int num_components, double threshold)
{
EigenFaceRecognizer retVal = EigenFaceRecognizer.__fromPtr__(create_0(num_components, threshold));
return retVal;
}
//javadoc: EigenFaceRecognizer::create(num_components)
public static EigenFaceRecognizer create(int num_components)
{
EigenFaceRecognizer retVal = EigenFaceRecognizer.__fromPtr__(create_1(num_components));
return retVal;
}
//javadoc: EigenFaceRecognizer::create()
public static EigenFaceRecognizer create()
{
EigenFaceRecognizer retVal = EigenFaceRecognizer.__fromPtr__(create_2());
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_EigenFaceRecognizer cv::face::EigenFaceRecognizer::create(int num_components = 0, double threshold = DBL_MAX)
private static native long create_0(int num_components, double threshold);
private static native long create_1(int num_components);
private static native long create_2();
// native support for java finalize()
private static native void delete(long nativeObj);
}

243
OpenCV/src/main/java/org/opencv/face/Face.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Scalar;
import org.opencv.face.Facemark;
import org.opencv.utils.Converters;
// C++: class Face
//javadoc: Face
public class Face {
//
// C++: Ptr_Facemark cv::face::createFacemarkAAM()
//
//javadoc: createFacemarkAAM()
public static Facemark createFacemarkAAM()
{
Facemark retVal = Facemark.__fromPtr__(createFacemarkAAM_0());
return retVal;
}
//
// C++: Ptr_Facemark cv::face::createFacemarkKazemi()
//
//javadoc: createFacemarkKazemi()
public static Facemark createFacemarkKazemi()
{
Facemark retVal = Facemark.__fromPtr__(createFacemarkKazemi_0());
return retVal;
}
//
// C++: Ptr_Facemark cv::face::createFacemarkLBF()
//
//javadoc: createFacemarkLBF()
public static Facemark createFacemarkLBF()
{
Facemark retVal = Facemark.__fromPtr__(createFacemarkLBF_0());
return retVal;
}
//
// C++: bool cv::face::getFacesHAAR(Mat image, Mat& faces, String face_cascade_name)
//
//javadoc: getFacesHAAR(image, faces, face_cascade_name)
public static boolean getFacesHAAR(Mat image, Mat faces, String face_cascade_name)
{
boolean retVal = getFacesHAAR_0(image.nativeObj, faces.nativeObj, face_cascade_name);
return retVal;
}
//
// C++: bool cv::face::loadDatasetList(String imageList, String annotationList, vector_String images, vector_String annotations)
//
//javadoc: loadDatasetList(imageList, annotationList, images, annotations)
public static boolean loadDatasetList(String imageList, String annotationList, List<String> images, List<String> annotations)
{
boolean retVal = loadDatasetList_0(imageList, annotationList, images, annotations);
return retVal;
}
//
// C++: bool cv::face::loadFacePoints(String filename, Mat& points, float offset = 0.0f)
//
//javadoc: loadFacePoints(filename, points, offset)
public static boolean loadFacePoints(String filename, Mat points, float offset)
{
boolean retVal = loadFacePoints_0(filename, points.nativeObj, offset);
return retVal;
}
//javadoc: loadFacePoints(filename, points)
public static boolean loadFacePoints(String filename, Mat points)
{
boolean retVal = loadFacePoints_1(filename, points.nativeObj);
return retVal;
}
//
// C++: bool cv::face::loadTrainingData(String filename, vector_String images, Mat& facePoints, char delim = ' ', float offset = 0.0f)
//
//javadoc: loadTrainingData(filename, images, facePoints, delim, offset)
public static boolean loadTrainingData(String filename, List<String> images, Mat facePoints, char delim, float offset)
{
boolean retVal = loadTrainingData_0(filename, images, facePoints.nativeObj, delim, offset);
return retVal;
}
//javadoc: loadTrainingData(filename, images, facePoints, delim)
public static boolean loadTrainingData(String filename, List<String> images, Mat facePoints, char delim)
{
boolean retVal = loadTrainingData_1(filename, images, facePoints.nativeObj, delim);
return retVal;
}
//javadoc: loadTrainingData(filename, images, facePoints)
public static boolean loadTrainingData(String filename, List<String> images, Mat facePoints)
{
boolean retVal = loadTrainingData_2(filename, images, facePoints.nativeObj);
return retVal;
}
//
// C++: bool cv::face::loadTrainingData(String imageList, String groundTruth, vector_String images, Mat& facePoints, float offset = 0.0f)
//
//javadoc: loadTrainingData(imageList, groundTruth, images, facePoints, offset)
public static boolean loadTrainingData(String imageList, String groundTruth, List<String> images, Mat facePoints, float offset)
{
boolean retVal = loadTrainingData_3(imageList, groundTruth, images, facePoints.nativeObj, offset);
return retVal;
}
//javadoc: loadTrainingData(imageList, groundTruth, images, facePoints)
public static boolean loadTrainingData(String imageList, String groundTruth, List<String> images, Mat facePoints)
{
boolean retVal = loadTrainingData_4(imageList, groundTruth, images, facePoints.nativeObj);
return retVal;
}
//
// C++: bool cv::face::loadTrainingData(vector_String filename, vector_vector_Point2f trainlandmarks, vector_String trainimages)
//
//javadoc: loadTrainingData(filename, trainlandmarks, trainimages)
public static boolean loadTrainingData(List<String> filename, List<MatOfPoint2f> trainlandmarks, List<String> trainimages)
{
List<Mat> trainlandmarks_tmplm = new ArrayList<Mat>((trainlandmarks != null) ? trainlandmarks.size() : 0);
Mat trainlandmarks_mat = Converters.vector_vector_Point2f_to_Mat(trainlandmarks, trainlandmarks_tmplm);
boolean retVal = loadTrainingData_5(filename, trainlandmarks_mat.nativeObj, trainimages);
return retVal;
}
//
// C++: void cv::face::drawFacemarks(Mat& image, Mat points, Scalar color = Scalar(255,0,0))
//
//javadoc: drawFacemarks(image, points, color)
public static void drawFacemarks(Mat image, Mat points, Scalar color)
{
drawFacemarks_0(image.nativeObj, points.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3]);
return;
}
//javadoc: drawFacemarks(image, points)
public static void drawFacemarks(Mat image, Mat points)
{
drawFacemarks_1(image.nativeObj, points.nativeObj);
return;
}
// C++: Ptr_Facemark cv::face::createFacemarkAAM()
private static native long createFacemarkAAM_0();
// C++: Ptr_Facemark cv::face::createFacemarkKazemi()
private static native long createFacemarkKazemi_0();
// C++: Ptr_Facemark cv::face::createFacemarkLBF()
private static native long createFacemarkLBF_0();
// C++: bool cv::face::getFacesHAAR(Mat image, Mat& faces, String face_cascade_name)
private static native boolean getFacesHAAR_0(long image_nativeObj, long faces_nativeObj, String face_cascade_name);
// C++: bool cv::face::loadDatasetList(String imageList, String annotationList, vector_String images, vector_String annotations)
private static native boolean loadDatasetList_0(String imageList, String annotationList, List<String> images, List<String> annotations);
// C++: bool cv::face::loadFacePoints(String filename, Mat& points, float offset = 0.0f)
private static native boolean loadFacePoints_0(String filename, long points_nativeObj, float offset);
private static native boolean loadFacePoints_1(String filename, long points_nativeObj);
// C++: bool cv::face::loadTrainingData(String filename, vector_String images, Mat& facePoints, char delim = ' ', float offset = 0.0f)
private static native boolean loadTrainingData_0(String filename, List<String> images, long facePoints_nativeObj, char delim, float offset);
private static native boolean loadTrainingData_1(String filename, List<String> images, long facePoints_nativeObj, char delim);
private static native boolean loadTrainingData_2(String filename, List<String> images, long facePoints_nativeObj);
// C++: bool cv::face::loadTrainingData(String imageList, String groundTruth, vector_String images, Mat& facePoints, float offset = 0.0f)
private static native boolean loadTrainingData_3(String imageList, String groundTruth, List<String> images, long facePoints_nativeObj, float offset);
private static native boolean loadTrainingData_4(String imageList, String groundTruth, List<String> images, long facePoints_nativeObj);
// C++: bool cv::face::loadTrainingData(vector_String filename, vector_vector_Point2f trainlandmarks, vector_String trainimages)
private static native boolean loadTrainingData_5(List<String> filename, long trainlandmarks_mat_nativeObj, List<String> trainimages);
// C++: void cv::face::drawFacemarks(Mat& image, Mat points, Scalar color = Scalar(255,0,0))
private static native void drawFacemarks_0(long image_nativeObj, long points_nativeObj, double color_val0, double color_val1, double color_val2, double color_val3);
private static native void drawFacemarks_1(long image_nativeObj, long points_nativeObj);
}

207
OpenCV/src/main/java/org/opencv/face/FaceRecognizer.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
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.MatOfInt;
import org.opencv.face.PredictCollector;
import org.opencv.utils.Converters;
// C++: class FaceRecognizer
//javadoc: FaceRecognizer
public class FaceRecognizer extends Algorithm {
protected FaceRecognizer(long addr) { super(addr); }
// internal usage only
public static FaceRecognizer __fromPtr__(long addr) { return new FaceRecognizer(addr); }
//
// C++: String cv::face::FaceRecognizer::getLabelInfo(int label)
//
//javadoc: FaceRecognizer::getLabelInfo(label)
public String getLabelInfo(int label)
{
String retVal = getLabelInfo_0(nativeObj, label);
return retVal;
}
//
// C++: int cv::face::FaceRecognizer::predict(Mat src)
//
//javadoc: FaceRecognizer::predict_label(src)
public int predict_label(Mat src)
{
int retVal = predict_label_0(nativeObj, src.nativeObj);
return retVal;
}
//
// C++: vector_int cv::face::FaceRecognizer::getLabelsByString(String str)
//
//javadoc: FaceRecognizer::getLabelsByString(str)
public MatOfInt getLabelsByString(String str)
{
MatOfInt retVal = MatOfInt.fromNativeAddr(getLabelsByString_0(nativeObj, str));
return retVal;
}
//
// C++: void cv::face::FaceRecognizer::predict(Mat src, Ptr_PredictCollector collector)
//
//javadoc: FaceRecognizer::predict_collect(src, collector)
public void predict_collect(Mat src, PredictCollector collector)
{
predict_collect_0(nativeObj, src.nativeObj, collector.getNativeObjAddr());
return;
}
//
// C++: void cv::face::FaceRecognizer::predict(Mat src, int& label, double& confidence)
//
//javadoc: FaceRecognizer::predict(src, label, confidence)
public void predict(Mat src, int[] label, double[] confidence)
{
double[] label_out = new double[1];
double[] confidence_out = new double[1];
predict_0(nativeObj, src.nativeObj, label_out, confidence_out);
if(label!=null) label[0] = (int)label_out[0];
if(confidence!=null) confidence[0] = (double)confidence_out[0];
return;
}
//
// C++: void cv::face::FaceRecognizer::read(String filename)
//
//javadoc: FaceRecognizer::read(filename)
public void read(String filename)
{
read_0(nativeObj, filename);
return;
}
//
// C++: void cv::face::FaceRecognizer::setLabelInfo(int label, String strInfo)
//
//javadoc: FaceRecognizer::setLabelInfo(label, strInfo)
public void setLabelInfo(int label, String strInfo)
{
setLabelInfo_0(nativeObj, label, strInfo);
return;
}
//
// C++: void cv::face::FaceRecognizer::train(vector_Mat src, Mat labels)
//
//javadoc: FaceRecognizer::train(src, labels)
public void train(List<Mat> src, Mat labels)
{
Mat src_mat = Converters.vector_Mat_to_Mat(src);
train_0(nativeObj, src_mat.nativeObj, labels.nativeObj);
return;
}
//
// C++: void cv::face::FaceRecognizer::update(vector_Mat src, Mat labels)
//
//javadoc: FaceRecognizer::update(src, labels)
public void update(List<Mat> src, Mat labels)
{
Mat src_mat = Converters.vector_Mat_to_Mat(src);
update_0(nativeObj, src_mat.nativeObj, labels.nativeObj);
return;
}
//
// C++: void cv::face::FaceRecognizer::write(String filename)
//
//javadoc: FaceRecognizer::write(filename)
public void write(String filename)
{
write_0(nativeObj, filename);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: String cv::face::FaceRecognizer::getLabelInfo(int label)
private static native String getLabelInfo_0(long nativeObj, int label);
// C++: int cv::face::FaceRecognizer::predict(Mat src)
private static native int predict_label_0(long nativeObj, long src_nativeObj);
// C++: vector_int cv::face::FaceRecognizer::getLabelsByString(String str)
private static native long getLabelsByString_0(long nativeObj, String str);
// C++: void cv::face::FaceRecognizer::predict(Mat src, Ptr_PredictCollector collector)
private static native void predict_collect_0(long nativeObj, long src_nativeObj, long collector_nativeObj);
// C++: void cv::face::FaceRecognizer::predict(Mat src, int& label, double& confidence)
private static native void predict_0(long nativeObj, long src_nativeObj, double[] label_out, double[] confidence_out);
// C++: void cv::face::FaceRecognizer::read(String filename)
private static native void read_0(long nativeObj, String filename);
// C++: void cv::face::FaceRecognizer::setLabelInfo(int label, String strInfo)
private static native void setLabelInfo_0(long nativeObj, int label, String strInfo);
// C++: void cv::face::FaceRecognizer::train(vector_Mat src, Mat labels)
private static native void train_0(long nativeObj, long src_mat_nativeObj, long labels_nativeObj);
// C++: void cv::face::FaceRecognizer::update(vector_Mat src, Mat labels)
private static native void update_0(long nativeObj, long src_mat_nativeObj, long labels_nativeObj);
// C++: void cv::face::FaceRecognizer::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);
}

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OpenCV/src/main/java/org/opencv/face/Facemark.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
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.MatOfPoint2f;
import org.opencv.core.MatOfRect;
import org.opencv.utils.Converters;
// C++: class Facemark
//javadoc: Facemark
public class Facemark extends Algorithm {
protected Facemark(long addr) { super(addr); }
// internal usage only
public static Facemark __fromPtr__(long addr) { return new Facemark(addr); }
//
// C++: bool cv::face::Facemark::fit(Mat image, vector_Rect faces, vector_vector_Point2f& landmarks)
//
//javadoc: Facemark::fit(image, faces, landmarks)
public boolean fit(Mat image, MatOfRect faces, List<MatOfPoint2f> landmarks)
{
Mat faces_mat = faces;
Mat landmarks_mat = new Mat();
boolean retVal = fit_0(nativeObj, image.nativeObj, faces_mat.nativeObj, landmarks_mat.nativeObj);
Converters.Mat_to_vector_vector_Point2f(landmarks_mat, landmarks);
landmarks_mat.release();
return retVal;
}
//
// C++: void cv::face::Facemark::loadModel(String model)
//
//javadoc: Facemark::loadModel(model)
public void loadModel(String model)
{
loadModel_0(nativeObj, model);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: bool cv::face::Facemark::fit(Mat image, vector_Rect faces, vector_vector_Point2f& landmarks)
private static native boolean fit_0(long nativeObj, long image_nativeObj, long faces_mat_nativeObj, long landmarks_mat_nativeObj);
// C++: void cv::face::Facemark::loadModel(String model)
private static native void loadModel_0(long nativeObj, String model);
// native support for java finalize()
private static native void delete(long nativeObj);
}

28
OpenCV/src/main/java/org/opencv/face/FacemarkAAM.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
// C++: class FacemarkAAM
//javadoc: FacemarkAAM
public class FacemarkAAM extends FacemarkTrain {
protected FacemarkAAM(long addr) { super(addr); }
// internal usage only
public static FacemarkAAM __fromPtr__(long addr) { return new FacemarkAAM(addr); }
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// native support for java finalize()
private static native void delete(long nativeObj);
}

28
OpenCV/src/main/java/org/opencv/face/FacemarkKazemi.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
// C++: class FacemarkKazemi
//javadoc: FacemarkKazemi
public class FacemarkKazemi extends Facemark {
protected FacemarkKazemi(long addr) { super(addr); }
// internal usage only
public static FacemarkKazemi __fromPtr__(long addr) { return new FacemarkKazemi(addr); }
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// native support for java finalize()
private static native void delete(long nativeObj);
}

28
OpenCV/src/main/java/org/opencv/face/FacemarkLBF.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
// C++: class FacemarkLBF
//javadoc: FacemarkLBF
public class FacemarkLBF extends FacemarkTrain {
protected FacemarkLBF(long addr) { super(addr); }
// internal usage only
public static FacemarkLBF __fromPtr__(long addr) { return new FacemarkLBF(addr); }
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// native support for java finalize()
private static native void delete(long nativeObj);
}

28
OpenCV/src/main/java/org/opencv/face/FacemarkTrain.java Normal file
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.face;
import org.opencv.face.Facemark;
// C++: class FacemarkTrain
//javadoc: FacemarkTrain
public class FacemarkTrain extends Facemark {
protected FacemarkTrain(long addr) { super(addr); }
// internal usage only
public static FacemarkTrain __fromPtr__(long addr) { return new FacemarkTrain(addr); }
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// native support for java finalize()
private static native void delete(long nativeObj);
}

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