移除采样过程中的水平旋转、移除opencv库,修复:https://github.com/devzwy/open_nsfw_android/issues/4#issuecomment-494745262

pull/34/head 1.2.6
jason 6 years ago
parent 6a012d8fc0
commit 7f54e3cfc1
  1. 1
      .idea/gradle.xml
  2. 2
      .idea/misc.xml
  3. 16
      README.md
  4. 8
      app/build.gradle
  5. 8
      app/src/main/java/com/example/open_nsfw_android/MainActivity.kt
  6. 9
      app/src/main/java/com/example/open_nsfw_android/MainAdapter.kt
  7. 1
      app/src/main/res/layout/activity_main.xml
  8. 8
      app/src/main/res/values/colors.xml
  9. 44
      nsfw/CMakeLists.txt
  10. 39
      nsfw/build.gradle
  11. BIN
      nsfw/libs/arm64-v8a/libopencv_java3.so
  12. BIN
      nsfw/libs/armeabi-v7a/libopencv_java3.so
  13. BIN
      nsfw/libs/armeabi/libopencv_java3.so
  14. BIN
      nsfw/libs/mips/libopencv_java3.so
  15. BIN
      nsfw/libs/mips64/libopencv_java3.so
  16. BIN
      nsfw/libs/x86/libopencv_java3.so
  17. BIN
      nsfw/libs/x86_64/libopencv_java3.so
  18. 24
      nsfw/src/main/cpp/native-lib.cpp
  19. 126
      nsfw/src/main/java/com/zwy/nsfw/Classifier.java
  20. 10
      nsfw/src/main/java/com/zwy/nsfw/JniLoader.java
  21. 17
      openCVLibrary340/build.gradle
  22. 199
      openCVLibrary340/build/generated/aidl_source_output_dir/debug/compileDebugAidl/out/org/opencv/engine/OpenCVEngineInterface.java
  23. 13
      openCVLibrary340/build/generated/source/buildConfig/debug/org/opencv/BuildConfig.java
  24. 9
      openCVLibrary340/build/intermediates/aapt_friendly_merged_manifests/debug/aapt/AndroidManifest.xml
  25. 1
      openCVLibrary340/build/intermediates/aapt_friendly_merged_manifests/debug/aapt/output.json
  26. 9
      openCVLibrary340/build/intermediates/library_manifest/debug/AndroidManifest.xml
  27. 1
      openCVLibrary340/build/intermediates/merged_manifests/debug/output.json
  28. 25
      openCVLibrary340/build/outputs/logs/manifest-merger-debug-report.txt
  29. 9
      openCVLibrary340/lint.xml
  30. 5
      openCVLibrary340/src/main/AndroidManifest.xml
  31. 33
      openCVLibrary340/src/main/aidl/org/opencv/engine/OpenCVEngineInterface.aidl
  32. 391
      openCVLibrary340/src/main/java/org/opencv/android/AsyncServiceHelper.java
  33. 141
      openCVLibrary340/src/main/java/org/opencv/android/BaseLoaderCallback.java
  34. 302
      openCVLibrary340/src/main/java/org/opencv/android/Camera2Renderer.java
  35. 495
      openCVLibrary340/src/main/java/org/opencv/android/CameraBridgeViewBase.java
  36. 440
      openCVLibrary340/src/main/java/org/opencv/android/CameraGLRendererBase.java
  37. 119
      openCVLibrary340/src/main/java/org/opencv/android/CameraGLSurfaceView.java
  38. 166
      openCVLibrary340/src/main/java/org/opencv/android/CameraRenderer.java
  39. 66
      openCVLibrary340/src/main/java/org/opencv/android/FpsMeter.java
  40. 34
      openCVLibrary340/src/main/java/org/opencv/android/InstallCallbackInterface.java
  41. 379
      openCVLibrary340/src/main/java/org/opencv/android/JavaCameraView.java
  42. 40
      openCVLibrary340/src/main/java/org/opencv/android/LoaderCallbackInterface.java
  43. 132
      openCVLibrary340/src/main/java/org/opencv/android/OpenCVLoader.java
  44. 104
      openCVLibrary340/src/main/java/org/opencv/android/StaticHelper.java
  45. 139
      openCVLibrary340/src/main/java/org/opencv/android/Utils.java
  46. 1574
      openCVLibrary340/src/main/java/org/opencv/calib3d/Calib3d.java
  47. 331
      openCVLibrary340/src/main/java/org/opencv/calib3d/StereoBM.java
  48. 254
      openCVLibrary340/src/main/java/org/opencv/calib3d/StereoMatcher.java
  49. 231
      openCVLibrary340/src/main/java/org/opencv/calib3d/StereoSGBM.java
  50. 111
      openCVLibrary340/src/main/java/org/opencv/core/Algorithm.java
  51. 2745
      openCVLibrary340/src/main/java/org/opencv/core/Core.java
  52. 15
      openCVLibrary340/src/main/java/org/opencv/core/CvException.java
  53. 136
      openCVLibrary340/src/main/java/org/opencv/core/CvType.java
  54. 58
      openCVLibrary340/src/main/java/org/opencv/core/DMatch.java
  55. 83
      openCVLibrary340/src/main/java/org/opencv/core/KeyPoint.java
  56. 1334
      openCVLibrary340/src/main/java/org/opencv/core/Mat.java
  57. 79
      openCVLibrary340/src/main/java/org/opencv/core/MatOfByte.java
  58. 83
      openCVLibrary340/src/main/java/org/opencv/core/MatOfDMatch.java
  59. 79
      openCVLibrary340/src/main/java/org/opencv/core/MatOfDouble.java
  60. 79
      openCVLibrary340/src/main/java/org/opencv/core/MatOfFloat.java
  61. 79
      openCVLibrary340/src/main/java/org/opencv/core/MatOfFloat4.java
  62. 79
      openCVLibrary340/src/main/java/org/opencv/core/MatOfFloat6.java
  63. 80
      openCVLibrary340/src/main/java/org/opencv/core/MatOfInt.java
  64. 80
      openCVLibrary340/src/main/java/org/opencv/core/MatOfInt4.java
  65. 86
      openCVLibrary340/src/main/java/org/opencv/core/MatOfKeyPoint.java
  66. 78
      openCVLibrary340/src/main/java/org/opencv/core/MatOfPoint.java
  67. 78
      openCVLibrary340/src/main/java/org/opencv/core/MatOfPoint2f.java
  68. 79
      openCVLibrary340/src/main/java/org/opencv/core/MatOfPoint3.java
  69. 79
      openCVLibrary340/src/main/java/org/opencv/core/MatOfPoint3f.java
  70. 81
      openCVLibrary340/src/main/java/org/opencv/core/MatOfRect.java
  71. 81
      openCVLibrary340/src/main/java/org/opencv/core/MatOfRect2d.java
  72. 68
      openCVLibrary340/src/main/java/org/opencv/core/Point.java
  73. 79
      openCVLibrary340/src/main/java/org/opencv/core/Point3.java
  74. 82
      openCVLibrary340/src/main/java/org/opencv/core/Range.java
  75. 104
      openCVLibrary340/src/main/java/org/opencv/core/Rect.java
  76. 104
      openCVLibrary340/src/main/java/org/opencv/core/Rect2d.java
  77. 113
      openCVLibrary340/src/main/java/org/opencv/core/RotatedRect.java
  78. 90
      openCVLibrary340/src/main/java/org/opencv/core/Scalar.java
  79. 73
      openCVLibrary340/src/main/java/org/opencv/core/Size.java
  80. 92
      openCVLibrary340/src/main/java/org/opencv/core/TermCriteria.java
  81. 182
      openCVLibrary340/src/main/java/org/opencv/core/TickMeter.java
  82. 212
      openCVLibrary340/src/main/java/org/opencv/dnn/DictValue.java
  83. 279
      openCVLibrary340/src/main/java/org/opencv/dnn/Dnn.java
  84. 176
      openCVLibrary340/src/main/java/org/opencv/dnn/Layer.java
  85. 601
      openCVLibrary340/src/main/java/org/opencv/dnn/Net.java
  86. 316
      openCVLibrary340/src/main/java/org/opencv/features2d/AKAZE.java
  87. 182
      openCVLibrary340/src/main/java/org/opencv/features2d/AgastFeatureDetector.java
  88. 81
      openCVLibrary340/src/main/java/org/opencv/features2d/BFMatcher.java
  89. 125
      openCVLibrary340/src/main/java/org/opencv/features2d/BOWImgDescriptorExtractor.java
  90. 89
      openCVLibrary340/src/main/java/org/opencv/features2d/BOWKMeansTrainer.java
  91. 134
      openCVLibrary340/src/main/java/org/opencv/features2d/BOWTrainer.java
  92. 137
      openCVLibrary340/src/main/java/org/opencv/features2d/BRISK.java
  93. 197
      openCVLibrary340/src/main/java/org/opencv/features2d/DescriptorExtractor.java
  94. 426
      openCVLibrary340/src/main/java/org/opencv/features2d/DescriptorMatcher.java
  95. 182
      openCVLibrary340/src/main/java/org/opencv/features2d/FastFeatureDetector.java
  96. 292
      openCVLibrary340/src/main/java/org/opencv/features2d/Feature2D.java
  97. 219
      openCVLibrary340/src/main/java/org/opencv/features2d/FeatureDetector.java
  98. 158
      openCVLibrary340/src/main/java/org/opencv/features2d/Features2d.java
  99. 61
      openCVLibrary340/src/main/java/org/opencv/features2d/FlannBasedMatcher.java
  100. 302
      openCVLibrary340/src/main/java/org/opencv/features2d/GFTTDetector.java
  101. Some files were not shown because too many files have changed in this diff Show More

@ -11,7 +11,6 @@
<option value="$PROJECT_DIR$" />
<option value="$PROJECT_DIR$/app" />
<option value="$PROJECT_DIR$/nsfw" />
<option value="$PROJECT_DIR$/openCVLibrary340" />
</set>
</option>
<option name="resolveModulePerSourceSet" value="false" />

@ -33,7 +33,7 @@
</profile-state>
</entry>
</component>
<component name="ProjectRootManager" version="2" languageLevel="JDK_1_7" project-jdk-name="1.8" project-jdk-type="JavaSDK">
<component name="ProjectRootManager" version="2" languageLevel="JDK_1_8" project-jdk-name="1.8" project-jdk-type="JavaSDK">
<output url="file://$PROJECT_DIR$/build/classes" />
</component>
<component name="ProjectType">

@ -47,22 +47,22 @@ __请添加__
nsfwBean?.nsfw ...
```
- 项目打包时请使用如下代码确定你使用的ndk,否则会打包全部类型的库文件,导致项目异常庞大
```
ndk {
abiFilters 'armeabi-v7a'
}
```
### [点我下载apk(arm+x86)](https://fir.im/nsfw)
### [点我下载apk](https://fir.im/nsfw)
### 扫码下载
![图片](https://github.com/devzwy/open_nsfw_android/blob/master/img/2.png)
### Demo运行结果:
## 提示:下面的图片不要在公共场所打开!!!
## 提示:下面的图片不要在公共场所打开!!!
## 提示:下面的图片不要在公共场所打开!!!
## 提示:下面的图片不要在公共场所打开!!!
## 提示:下面的图片不要在公共场所打开!!!
### Demo运行结果(后期手动打码防止屏蔽):
![图片](https://github.com/devzwy/open_nsfw_android/blob/master/img/1.png)

@ -10,12 +10,9 @@ android {
applicationId "com.example.open_nsfw_android"
minSdkVersion 15
targetSdkVersion 28
versionCode 2
versionName "1.1"
versionCode 3
versionName "1.2.6"
testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
ndk {
abiFilters 'armeabi-v7a','x86_64'
}
}
buildTypes {
debug{
@ -23,7 +20,6 @@ android {
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
}
}
aaptOptions {
noCompress "tflite"
}

@ -1,10 +1,13 @@
package com.example.open_nsfw_android
import android.Manifest
import android.annotation.SuppressLint
import android.content.Intent
import android.content.pm.PackageManager
import android.graphics.BitmapFactory
import android.os.Bundle
import android.support.v4.app.ActivityCompat
import android.support.v4.content.ContextCompat
import android.support.v7.app.AppCompatActivity
import android.support.v7.widget.LinearLayoutManager
import android.view.View
@ -32,6 +35,11 @@ class MainActivity : AppCompatActivity(), View.OnClickListener {
initAdapter()
initClickListener()
tv_version.text = "当前版本:${this.packageManager.getPackageInfo(packageName, 0).versionName}"
if (ContextCompat.checkSelfPermission(this,
Manifest.permission.WRITE_EXTERNAL_STORAGE) != PackageManager.PERMISSION_GRANTED){ //表示未授权时
//进行授权
ActivityCompat.requestPermissions(this, arrayOf(Manifest.permission.WRITE_EXTERNAL_STORAGE),1);
}
}
override fun onClick(v: View) {

@ -16,20 +16,17 @@ class MainAdapter(nsfwList: List<MyNsfwBean>?) :
val textView = helper.getView<TextView>(R.id.tv_text)
val imageView = helper.getView<ImageView>(R.id.iv)
val view = helper.getView<RelativeLayout>(R.id.view)
var nsfwStr = "色情图片"
var color = ContextCompat.getColor(mContext, R.color.nsfw1)
when (item.nsfw) {
in 0.0..0.3 -> {
nsfwStr = "正常图片"
in 0.0..0.2 -> {
color = ContextCompat.getColor(mContext, R.color.nsfw3)
}
in 0.3..0.6 -> {
nsfwStr = "👙比基尼"
in 0.2..0.8 -> {
color = ContextCompat.getColor(mContext, R.color.nsfw2)
}
}
textView.text =
"path = ${"img/${item.path}"} \n\nSFW score: ${item.sfw}\nNSFW score: ${item.nsfw} \n\n 鉴定结果: ${nsfwStr}"
"path = ${"img/${item.path}"} \n\nSFW score: ${item.sfw}\n\nNSFW score: ${item.nsfw}"
imageView.setImageBitmap(item.bitmap)
view.setBackgroundColor(color)
}

@ -3,6 +3,7 @@
xmlns:tools="http://schemas.android.com/tools"
android:orientation="vertical"
android:layout_width="match_parent"
android:layout_height="match_parent">
<LinearLayout android:layout_width="match_parent"
android:orientation="horizontal"

@ -3,8 +3,8 @@
<color name="colorPrimary">#008577</color>
<color name="colorPrimaryDark">#00574B</color>
<color name="semi_transparent">#66000000</color>
<color name="nsfw1">#56FF0000</color>
<color name="nsfw2">#20FD9904</color>
<color name="nsfw3">#FFFFFF</color>
<color name="colorAccent">#D81B60</color>
<color name="nsfw1">#96CC1B1B</color>
<color name="nsfw2">#00BCD4</color>
<color name="nsfw3">#4CAF50</color>
<color name="colorAccent">#FF0000</color>
</resources>

@ -1,44 +0,0 @@
# For more information about using CMake with Android Studio, read the
# documentation: https://d.android.com/studio/projects/add-native-code.html
# Sets the minimum version of CMake required to build the native library.
cmake_minimum_required(VERSION 3.4.1)
# Creates and names a library, sets it as either STATIC
# or SHARED, and provides the relative paths to its source code.
# You can define multiple libraries, and CMake builds them for you.
# Gradle automatically packages shared libraries with your APK.
add_library( # Sets the name of the library.
native-lib
# Sets the library as a shared library.
SHARED
# Provides a relative path to your source file(s).
src/main/cpp/native-lib.cpp )
# Searches for a specified prebuilt library and stores the path as a
# variable. Because CMake includes system libraries in the search path by
# default, you only need to specify the name of the public NDK library
# you want to add. CMake verifies that the library exists before
# completing its build.
find_library( # Sets the name of the path variable.
log-lib
# Specifies the name of the NDK library that
# you want CMake to locate.
log )
# Specifies libraries CMake should link to your target library. You
# can link multiple libraries, such as libraries you define in this
# build script, prebuilt third-party libraries, or system libraries.
target_link_libraries( # Specifies the target library.
native-lib
# Links the target library to the log library
# included in the NDK.
${log-lib} )

@ -3,22 +3,12 @@ apply plugin: 'com.android.library'
android {
compileSdkVersion 28
defaultConfig {
minSdkVersion 15
targetSdkVersion 28
versionCode 1
versionName "1.0"
testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
externalNativeBuild {
cmake {
cppFlags "-frtti -fexceptions"
}
}
// ndk {
// abiFilters 'armeabi-v7a'
// }
}
buildTypes {
@ -27,41 +17,14 @@ android {
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
}
}
externalNativeBuild {
cmake {
path "CMakeLists.txt"
}
}
sourceSets {
main {
jniLibs.srcDirs = ['libs']
assets.srcDir("main/assets")
}
}
}
dependencies {
implementation fileTree(dir: 'libs', include: ['*.jar'])
implementation 'com.android.support:appcompat-v7:28.0.0'
testImplementation 'junit:junit:4.12'
androidTestImplementation 'com.android.support.test:runner:1.0.2'
androidTestImplementation 'com.android.support.test.espresso:espresso-core:3.0.2'
implementation 'org.tensorflow:tensorflow-lite:+'
implementation 'org.tensorflow:tensorflow-lite-gpu:+'
implementation project(path: ':openCVLibrary340')
}
task nativeLibsToJar(type: Jar, description: 'create a jar archive of the native libs') {
destinationDir file("$buildDir/native-libs")
baseName 'native-libs'
from fileTree(dir: 'libs', include: '**/*.so')
into 'lib/'
}
tasks.withType(JavaCompile) {
compileTask -> compileTask.dependsOn(nativeLibsToJar)
// implementation project(path: ':openCVLibrary340')
}
}

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@ -1,24 +0,0 @@
#include <jni.h>
#include <string>
extern "C"
JNIEXPORT void JNICALL
Java_com_zwy_nsfw_JniLoader_argb2bgr(JNIEnv *env, jobject thiz,
jbyteArray rgbSrc_,
jbyteArray bgrDesc_) {
jbyte *rgbSrc = env->GetByteArrayElements(rgbSrc_, NULL);
jbyte *bgrDesc = env->GetByteArrayElements(bgrDesc_, NULL);
printf("s[]=%s\n","C+++++++++");/*输出数组字符串s[]=Hello,Comrade*/
int wh = env->GetArrayLength(rgbSrc_) / 4 ;
//#pragma omp parallel for
for (int i = 0; i < wh; ++i) {
bgrDesc[i * 3] = rgbSrc[i * 4 + 2]; //B
bgrDesc[i * 3 + 1] = rgbSrc[i * 4 + 1]; //G
bgrDesc[i * 3 + 2] = rgbSrc[i * 4 ]; //R
}
env->ReleaseByteArrayElements(rgbSrc_, rgbSrc, JNI_ABORT);
env->ReleaseByteArrayElements(bgrDesc_, bgrDesc, JNI_COMMIT);
}

@ -3,27 +3,22 @@ package com.zwy.nsfw;
import android.app.Activity;
import android.content.res.AssetFileDescriptor;
import android.graphics.Bitmap;
import android.graphics.Color;
import android.graphics.Matrix;
import android.graphics.*;
import android.os.Environment;
import android.os.SystemClock;
import android.util.Log;
import com.zwy.nsfw.api.NsfwBean;
import org.opencv.android.OpenCVLoader;
import org.opencv.android.Utils;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.tensorflow.lite.Interpreter;
import org.tensorflow.lite.Tensor;
import org.tensorflow.lite.gpu.GpuDelegate;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.*;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.nio.MappedByteBuffer;
import java.nio.channels.FileChannel;
import java.util.ArrayList;
import java.util.List;
import static java.lang.Math.max;
@ -52,7 +47,7 @@ public class Classifier {
* Preallocated buffers for storing image data in.
*/
private int[] intValues = new int[INPUT_WIDTH * INPUT_HEIGHT];
List<Integer> list = new ArrayList<>();
/**
* The loaded TensorFlow Lite model.
*/
@ -98,7 +93,7 @@ public class Classifier {
Tensor tensor = tflite.getInputTensor(tflite.getInputIndex("input"));
String stringBuilder = " \n"
+"dataType : " +
+ "dataType : " +
tensor.dataType() +
"\n" +
"numBytes : " +
@ -123,11 +118,6 @@ public class Classifier {
* BYTES_PER_CHANNEL_NUM);
imgData.order(ByteOrder.LITTLE_ENDIAN);
if (OpenCVLoader.initDebug()) {
Log.d(TAG, "OpenCv Initialization Success.");
} else {
Log.e(TAG, "OpenCv Initialization Error.");
}
Log.d(TAG, "Tensorflow Lite Image Classifier Initialization Success.");
}
@ -152,9 +142,6 @@ public class Classifier {
return;
}
imgData.rewind();
Matrix m = new Matrix();
m.setScale(-1, 1);//水平翻转
Bitmap reversePic = Bitmap.createBitmap(bitmap_, 0, 0, bitmap_.getWidth(), bitmap_.getHeight(), m, true);
int W = bitmap_.getWidth();
int H = bitmap_.getHeight();
@ -162,25 +149,22 @@ public class Classifier {
int h_off = max((H - INPUT_HEIGHT) / 2, 0);
//把每个像素的颜色值转为int 存入intValues
reversePic.getPixels(intValues, 0, INPUT_WIDTH, h_off, w_off, INPUT_WIDTH, INPUT_HEIGHT);
bitmap_.getPixels(intValues, 0, INPUT_WIDTH, h_off, w_off, INPUT_WIDTH, INPUT_HEIGHT);
// Convert the image to floating point.
int pixel = 0;
long startTime = SystemClock.uptimeMillis();
for (int i = h_off; i < h_off + INPUT_HEIGHT; ++i) {
for (int j = w_off; j < w_off + INPUT_WIDTH; ++j) {
final int color = intValues[pixel++];
int r1 = Color.red(color);
int g1 = Color.green(color);
int b1 = Color.blue(color);
int rr1 = r1 - 123;
int gg1 = g1 - 117;
int bb1 = b1 - 104;
imgData.putFloat(bb1);
imgData.putFloat(gg1);
imgData.putFloat(rr1);
}
for (int i = 0; i < intValues.length; i++) {
final int color = intValues[i];
int r1 = Color.red(color);
int g1 = Color.green(color);
int b1 = Color.blue(color);
int rr1 = r1 - 123;
int gg1 = g1 - 117;
int bb1 = b1 - 104;
imgData.putFloat(bb1);
imgData.putFloat(gg1);
imgData.putFloat(rr1);
}
long endTime = SystemClock.uptimeMillis();
Log.d(TAG, "Timecost to put values into ByteBuffer: " + (endTime - startTime) + "ms");
@ -188,29 +172,67 @@ public class Classifier {
public NsfwBean run(Bitmap bitmap) {
Mat mat = new Mat();
//add alpha
Utils.bitmapToMat(bitmap.copy(Bitmap.Config.ARGB_8888, false), mat, true);
Mat mat1 = new Mat();
//将原bitmap双线性采样为256*256大小
Imgproc.resize(mat, mat1, new Size(256, 256), 0, 0, Imgproc.INTER_LINEAR);
//add alpha
Bitmap bitmap_256 = Bitmap.createBitmap(256, 256, Bitmap.Config.ARGB_8888);
//convert
Utils.matToBitmap(mat1, bitmap_256);
Bitmap bitmap_256 = getResizedBitmap(bitmap, 256, 256);
saveBitmapFile(bitmap_256);
//Writes image data into byteBuffer
convertBitmapToByteBuffer(bitmap_256);
long startTime = SystemClock.uptimeMillis();
// out
float[][] outArray = new float[1][2];
Log.d(TAG, "lastImgData : " + imgData);
tflite.run(imgData, outArray);
long endTime = SystemClock.uptimeMillis();
Log.d(TAG, "SFW score :" + outArray[0][0] + ",NSFW score :" + outArray[0][1]);
Log.d(TAG, "Timecost to run model inference: " + (endTime - startTime) + "ms");
return new NsfwBean(outArray[0][0], outArray[0][1]);
}
public static Bitmap getResizedBitmap(Bitmap bitmap, float newWidth, float newHeight) {
// if (bitmap.getHeight()>bitmap.getWidth()){
// newHeight=300f;
// newWidth= (int) (bitmap.getWidth()*(newHeight/(float) bitmap.getHeight()));
// }else{
// newWidth=300f;
// newHeight= (int) (bitmap.getHeight()*(newWidth/(float) bitmap.getWidth()));
// }
Bitmap resizedBitmap = Bitmap.createBitmap((int) newWidth, (int) newHeight, Bitmap.Config.ARGB_8888);
float scaleX = newWidth / (float) bitmap.getWidth();
float scaleY = newHeight / (float) bitmap.getHeight();
float pivotX = 0;
float pivotY = 0;
Matrix scaleMatrix = new Matrix();
scaleMatrix.setScale(scaleX, scaleY, pivotX, pivotY);
Canvas canvas = new Canvas(resizedBitmap);
canvas.setMatrix(scaleMatrix);
canvas.drawBitmap(bitmap, 0, 0, new Paint(Paint.FILTER_BITMAP_FLAG |
Paint.DITHER_FLAG |
Paint.ANTI_ALIAS_FLAG));
return resizedBitmap;
}
public void saveBitmapFile(Bitmap bitmap) {
String fp = Environment.getExternalStorageDirectory().getAbsolutePath() + "/333333333.bmp";
File file = new File(fp);//将要保存图片的路径
try {
BufferedOutputStream bos = new BufferedOutputStream(new FileOutputStream(file));
bitmap.compress(Bitmap.CompressFormat.JPEG, 100, bos);
bos.flush();
bos.close();
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* Closes the interpreter and model to release resources.
@ -219,15 +241,15 @@ public class Classifier {
if (tflite != null) {
tflite.close();
tflite = null;
Log.d(TAG,"Tensorflow Lite Image Classifier close.");
Log.d(TAG, "Tensorflow Lite Image Classifier close.");
}
if (gpuDelegate != null) {
gpuDelegate.close();
Log.d(TAG,"Tensorflow Lite Image gpuDelegate close.");
Log.d(TAG, "Tensorflow Lite Image gpuDelegate close.");
gpuDelegate = null;
}
tfliteModel = null;
Log.d(TAG,"Tensorflow Lite destroyed.");
Log.d(TAG, "Tensorflow Lite destroyed.");
}
}

@ -1,10 +0,0 @@
package com.zwy.nsfw;
public class JniLoader {
static {
System.loadLibrary("native-lib");
}
public static native void argb2bgr(byte[] rgbSrc,byte[] bgrDesc);
}

@ -1,17 +0,0 @@
apply plugin: 'com.android.library'
android {
compileSdkVersion 28
defaultConfig {
minSdkVersion 15
targetSdkVersion 28
}
buildTypes {
release {
minifyEnabled false
proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.txt'
}
}
}

@ -1,199 +0,0 @@
/*
* This file is auto-generated. DO NOT MODIFY.
* Original file: /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/aidl/org/opencv/engine/OpenCVEngineInterface.aidl
*/
package org.opencv.engine;
/**
* Class provides a Java interface for OpenCV Engine Service. It's synchronous with native OpenCVEngine class.
*/
public interface OpenCVEngineInterface extends android.os.IInterface
{
/** Local-side IPC implementation stub class. */
public static abstract class Stub extends android.os.Binder implements org.opencv.engine.OpenCVEngineInterface
{
private static final java.lang.String DESCRIPTOR = "org.opencv.engine.OpenCVEngineInterface";
/** Construct the stub at attach it to the interface. */
public Stub()
{
this.attachInterface(this, DESCRIPTOR);
}
/**
* Cast an IBinder object into an org.opencv.engine.OpenCVEngineInterface interface,
* generating a proxy if needed.
*/
public static org.opencv.engine.OpenCVEngineInterface asInterface(android.os.IBinder obj)
{
if ((obj==null)) {
return null;
}
android.os.IInterface iin = obj.queryLocalInterface(DESCRIPTOR);
if (((iin!=null)&&(iin instanceof org.opencv.engine.OpenCVEngineInterface))) {
return ((org.opencv.engine.OpenCVEngineInterface)iin);
}
return new org.opencv.engine.OpenCVEngineInterface.Stub.Proxy(obj);
}
@Override public android.os.IBinder asBinder()
{
return this;
}
@Override public boolean onTransact(int code, android.os.Parcel data, android.os.Parcel reply, int flags) throws android.os.RemoteException
{
java.lang.String descriptor = DESCRIPTOR;
switch (code)
{
case INTERFACE_TRANSACTION:
{
reply.writeString(descriptor);
return true;
}
case TRANSACTION_getEngineVersion:
{
data.enforceInterface(descriptor);
int _result = this.getEngineVersion();
reply.writeNoException();
reply.writeInt(_result);
return true;
}
case TRANSACTION_getLibPathByVersion:
{
data.enforceInterface(descriptor);
java.lang.String _arg0;
_arg0 = data.readString();
java.lang.String _result = this.getLibPathByVersion(_arg0);
reply.writeNoException();
reply.writeString(_result);
return true;
}
case TRANSACTION_installVersion:
{
data.enforceInterface(descriptor);
java.lang.String _arg0;
_arg0 = data.readString();
boolean _result = this.installVersion(_arg0);
reply.writeNoException();
reply.writeInt(((_result)?(1):(0)));
return true;
}
case TRANSACTION_getLibraryList:
{
data.enforceInterface(descriptor);
java.lang.String _arg0;
_arg0 = data.readString();
java.lang.String _result = this.getLibraryList(_arg0);
reply.writeNoException();
reply.writeString(_result);
return true;
}
default:
{
return super.onTransact(code, data, reply, flags);
}
}
}
private static class Proxy implements org.opencv.engine.OpenCVEngineInterface
{
private android.os.IBinder mRemote;
Proxy(android.os.IBinder remote)
{
mRemote = remote;
}
@Override public android.os.IBinder asBinder()
{
return mRemote;
}
public java.lang.String getInterfaceDescriptor()
{
return DESCRIPTOR;
}
@Override public int getEngineVersion() throws android.os.RemoteException
{
android.os.Parcel _data = android.os.Parcel.obtain();
android.os.Parcel _reply = android.os.Parcel.obtain();
int _result;
try {
_data.writeInterfaceToken(DESCRIPTOR);
mRemote.transact(Stub.TRANSACTION_getEngineVersion, _data, _reply, 0);
_reply.readException();
_result = _reply.readInt();
}
finally {
_reply.recycle();
_data.recycle();
}
return _result;
}
@Override public java.lang.String getLibPathByVersion(java.lang.String version) throws android.os.RemoteException
{
android.os.Parcel _data = android.os.Parcel.obtain();
android.os.Parcel _reply = android.os.Parcel.obtain();
java.lang.String _result;
try {
_data.writeInterfaceToken(DESCRIPTOR);
_data.writeString(version);
mRemote.transact(Stub.TRANSACTION_getLibPathByVersion, _data, _reply, 0);
_reply.readException();
_result = _reply.readString();
}
finally {
_reply.recycle();
_data.recycle();
}
return _result;
}
/**
* 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.
*/
@Override public boolean installVersion(java.lang.String version) throws android.os.RemoteException
{
android.os.Parcel _data = android.os.Parcel.obtain();
android.os.Parcel _reply = android.os.Parcel.obtain();
boolean _result;
try {
_data.writeInterfaceToken(DESCRIPTOR);
_data.writeString(version);
mRemote.transact(Stub.TRANSACTION_installVersion, _data, _reply, 0);
_reply.readException();
_result = (0!=_reply.readInt());
}
finally {
_reply.recycle();
_data.recycle();
}
return _result;
}
@Override public java.lang.String getLibraryList(java.lang.String version) throws android.os.RemoteException
{
android.os.Parcel _data = android.os.Parcel.obtain();
android.os.Parcel _reply = android.os.Parcel.obtain();
java.lang.String _result;
try {
_data.writeInterfaceToken(DESCRIPTOR);
_data.writeString(version);
mRemote.transact(Stub.TRANSACTION_getLibraryList, _data, _reply, 0);
_reply.readException();
_result = _reply.readString();
}
finally {
_reply.recycle();
_data.recycle();
}
return _result;
}
}
static final int TRANSACTION_getEngineVersion = (android.os.IBinder.FIRST_CALL_TRANSACTION + 0);
static final int TRANSACTION_getLibPathByVersion = (android.os.IBinder.FIRST_CALL_TRANSACTION + 1);
static final int TRANSACTION_installVersion = (android.os.IBinder.FIRST_CALL_TRANSACTION + 2);
static final int TRANSACTION_getLibraryList = (android.os.IBinder.FIRST_CALL_TRANSACTION + 3);
}
public int getEngineVersion() throws android.os.RemoteException;
public java.lang.String getLibPathByVersion(java.lang.String version) throws android.os.RemoteException;
/**
* 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.
*/
public boolean installVersion(java.lang.String version) throws android.os.RemoteException;
public java.lang.String getLibraryList(java.lang.String version) throws android.os.RemoteException;
}

@ -1,13 +0,0 @@
/**
* Automatically generated file. DO NOT MODIFY
*/
package org.opencv;
public final class BuildConfig {
public static final boolean DEBUG = Boolean.parseBoolean("true");
public static final String APPLICATION_ID = "org.opencv";
public static final String BUILD_TYPE = "debug";
public static final String FLAVOR = "";
public static final int VERSION_CODE = -1;
public static final String VERSION_NAME = "";
}

@ -1,9 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.opencv" >
<uses-sdk
android:minSdkVersion="15"
android:targetSdkVersion="28" />
</manifest>

@ -1 +0,0 @@
[{"outputType":{"type":"AAPT_FRIENDLY_MERGED_MANIFESTS"},"apkData":{"type":"MAIN","splits":[],"versionCode":-1,"enabled":true,"outputFile":"openCVLibrary340-debug.aar","fullName":"debug","baseName":"debug"},"path":"AndroidManifest.xml","properties":{"packageId":"org.opencv","split":""}}]

@ -1,9 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.opencv" >
<uses-sdk
android:minSdkVersion="15"
android:targetSdkVersion="28" />
</manifest>

@ -1 +0,0 @@
[{"outputType":{"type":"MERGED_MANIFESTS"},"apkData":{"type":"MAIN","splits":[],"versionCode":-1,"enabled":true,"outputFile":"openCVLibrary340-debug.aar","fullName":"debug","baseName":"debug"},"path":"../../library_manifest/debug/AndroidManifest.xml","properties":{"packageId":"org.opencv","split":""}}]

@ -1,25 +0,0 @@
-- Merging decision tree log ---
manifest
ADDED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml:2:1-5:12
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml:2:1-5:12
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml:2:1-5:12
package
ADDED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml:3:7-27
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
xmlns:android
ADDED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml:2:11-69
uses-sdk
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml reason: use-sdk injection requested
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
android:targetSdkVersion
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
ADDED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
android:minSdkVersion
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
ADDED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml
INJECTED from /Users/jason/AndroidStudioProjects/open_nsfw_android/openCVLibrary340/src/main/AndroidManifest.xml

@ -1,9 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<lint>
<issue id="InlinedApi">
<ignore path="src\org\opencv\android\JavaCameraView.java" />
</issue>
<issue id="NewApi">
<ignore path="src\org\opencv\android\JavaCameraView.java" />
</issue>
</lint>

@ -1,5 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.opencv">
</manifest>

@ -1,33 +0,0 @@
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);
}

@ -1,391 +0,0 @@
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, "Instalation was not started! Nothing to wait!");
}
};
Callback.onPackageInstall(InstallCallbackInterface.NEW_INSTALLATION, InstallQuery);
}
else
{
Log.d(TAG, "Waiting current installation process");
InstallCallbackInterface WaitQuery = new InstallCallbackInterface() {
private LoaderCallbackInterface mUserAppCallback = Callback;
public String getPackageName()
{
return "OpenCV Manager";
}
public void install()
{
Log.e(TAG, "Nothing to install we just wait current installation");
}
public void cancel()
{
Log.d(TAG, "Waiting for OpenCV canceled by user");
mServiceInstallationProgress = false;
int Status = LoaderCallbackInterface.INSTALL_CANCELED;
Log.d(TAG, "Init finished with status " + Status);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(Status);
}
public void wait_install()
{
InstallServiceQuiet(AppContext);
}
};
Callback.onPackageInstall(InstallCallbackInterface.INSTALLATION_PROGRESS, WaitQuery);
}
}
/**
* URL of OpenCV Manager page on Google Play Market.
*/
protected static final String OPEN_CV_SERVICE_URL = "market://details?id=org.opencv.engine";
protected ServiceConnection mServiceConnection = new ServiceConnection()
{
public void onServiceConnected(ComponentName className, IBinder service)
{
Log.d(TAG, "Service connection created");
mEngineService = OpenCVEngineInterface.Stub.asInterface(service);
if (null == mEngineService)
{
Log.d(TAG, "OpenCV Manager Service connection fails. May be service was not installed?");
InstallService(mAppContext, mUserAppCallback);
}
else
{
mServiceInstallationProgress = false;
try
{
if (mEngineService.getEngineVersion() < MINIMUM_ENGINE_VERSION)
{
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INCOMPATIBLE_MANAGER_VERSION);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INCOMPATIBLE_MANAGER_VERSION);
return;
}
Log.d(TAG, "Trying to get library path");
String path = mEngineService.getLibPathByVersion(mOpenCVersion);
if ((null == path) || (path.length() == 0))
{
if (!mLibraryInstallationProgress)
{
InstallCallbackInterface InstallQuery = new InstallCallbackInterface() {
public String getPackageName()
{
return "OpenCV library";
}
public void install() {
Log.d(TAG, "Trying to install OpenCV lib via Google Play");
try
{
if (mEngineService.installVersion(mOpenCVersion))
{
mLibraryInstallationProgress = true;
Log.d(TAG, "Package installation started");
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
}
else
{
Log.d(TAG, "OpenCV package was not installed!");
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.MARKET_ERROR);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.MARKET_ERROR);
}
} catch (RemoteException e) {
e.printStackTrace();;
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INIT_FAILED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INIT_FAILED);
}
}
public void cancel() {
Log.d(TAG, "OpenCV library installation was canceled");
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INSTALL_CANCELED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INSTALL_CANCELED);
}
public void wait_install() {
Log.e(TAG, "Installation was not started! Nothing to wait!");
}
};
mUserAppCallback.onPackageInstall(InstallCallbackInterface.NEW_INSTALLATION, InstallQuery);
}
else
{
InstallCallbackInterface WaitQuery = new InstallCallbackInterface() {
public String getPackageName()
{
return "OpenCV library";
}
public void install() {
Log.e(TAG, "Nothing to install we just wait current installation");
}
public void cancel()
{
Log.d(TAG, "OpenCV library installation was canceled");
mLibraryInstallationProgress = false;
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INSTALL_CANCELED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INSTALL_CANCELED);
}
public void wait_install() {
Log.d(TAG, "Waiting for current installation");
try
{
if (!mEngineService.installVersion(mOpenCVersion))
{
Log.d(TAG, "OpenCV package was not installed!");
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.MARKET_ERROR);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.MARKET_ERROR);
}
else
{
Log.d(TAG, "Wating for package installation");
}
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
} catch (RemoteException e) {
e.printStackTrace();
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INIT_FAILED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INIT_FAILED);
}
}
};
mUserAppCallback.onPackageInstall(InstallCallbackInterface.INSTALLATION_PROGRESS, WaitQuery);
}
return;
}
else
{
Log.d(TAG, "Trying to get library list");
mLibraryInstallationProgress = false;
String libs = mEngineService.getLibraryList(mOpenCVersion);
Log.d(TAG, "Library list: \"" + libs + "\"");
Log.d(TAG, "First attempt to load libs");
int status;
if (initOpenCVLibs(path, libs))
{
Log.d(TAG, "First attempt to load libs is OK");
String eol = System.getProperty("line.separator");
for (String str : Core.getBuildInformation().split(eol))
Log.i(TAG, str);
status = LoaderCallbackInterface.SUCCESS;
}
else
{
Log.d(TAG, "First attempt to load libs fails");
status = LoaderCallbackInterface.INIT_FAILED;
}
Log.d(TAG, "Init finished with status " + status);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(status);
}
}
catch (RemoteException e)
{
e.printStackTrace();
Log.d(TAG, "Init finished with status " + LoaderCallbackInterface.INIT_FAILED);
Log.d(TAG, "Unbind from service");
mAppContext.unbindService(mServiceConnection);
Log.d(TAG, "Calling using callback");
mUserAppCallback.onManagerConnected(LoaderCallbackInterface.INIT_FAILED);
}
}
}
public void onServiceDisconnected(ComponentName className)
{
mEngineService = null;
}
};
private boolean loadLibrary(String AbsPath)
{
boolean result = true;
Log.d(TAG, "Trying to load library " + AbsPath);
try
{
System.load(AbsPath);
Log.d(TAG, "OpenCV libs init was ok!");
}
catch(UnsatisfiedLinkError e)
{
Log.d(TAG, "Cannot load library \"" + AbsPath + "\"");
e.printStackTrace();
result &= false;
}
return result;
}
private boolean initOpenCVLibs(String Path, String Libs)
{
Log.d(TAG, "Trying to init OpenCV libs");
if ((null != Path) && (Path.length() != 0))
{
boolean result = true;
if ((null != Libs) && (Libs.length() != 0))
{
Log.d(TAG, "Trying to load libs by dependency list");
StringTokenizer splitter = new StringTokenizer(Libs, ";");
while(splitter.hasMoreTokens())
{
String AbsLibraryPath = Path + File.separator + splitter.nextToken();
result &= loadLibrary(AbsLibraryPath);
}
}
else
{
// If the dependencies list is not defined or empty.
String AbsLibraryPath = Path + File.separator + "libopencv_java3.so";
result &= loadLibrary(AbsLibraryPath);
}
return result;
}
else
{
Log.d(TAG, "Library path \"" + Path + "\" is empty");
return false;
}
}
}

@ -1,141 +0,0 @@
package org.opencv.android;
import android.app.Activity;
import android.app.AlertDialog;
import android.content.Context;
import android.content.DialogInterface;
import android.content.DialogInterface.OnClickListener;
import android.util.Log;
/**
* Basic implementation of LoaderCallbackInterface.
*/
public abstract class BaseLoaderCallback implements LoaderCallbackInterface {
public BaseLoaderCallback(Context AppContext) {
mAppContext = AppContext;
}
public void onManagerConnected(int status)
{
switch (status)
{
/** OpenCV initialization was successful. **/
case LoaderCallbackInterface.SUCCESS:
{
/** Application must override this method to handle successful library initialization. **/
} break;
/** OpenCV loader can not start Google Play Market. **/
case LoaderCallbackInterface.MARKET_ERROR:
{
Log.e(TAG, "Package installation failed!");
AlertDialog MarketErrorMessage = new AlertDialog.Builder(mAppContext).create();
MarketErrorMessage.setTitle("OpenCV Manager");
MarketErrorMessage.setMessage("Package installation failed!");
MarketErrorMessage.setCancelable(false); // This blocks the 'BACK' button
MarketErrorMessage.setButton(AlertDialog.BUTTON_POSITIVE, "OK", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
finish();
}
});
MarketErrorMessage.show();
} break;
/** Package installation has been canceled. **/
case LoaderCallbackInterface.INSTALL_CANCELED:
{
Log.d(TAG, "OpenCV library installation was canceled by user");
finish();
} break;
/** Application is incompatible with this version of OpenCV Manager. Possibly, a service update is required. **/
case LoaderCallbackInterface.INCOMPATIBLE_MANAGER_VERSION:
{
Log.d(TAG, "OpenCV Manager Service is uncompatible with this app!");
AlertDialog IncomatibilityMessage = new AlertDialog.Builder(mAppContext).create();
IncomatibilityMessage.setTitle("OpenCV Manager");
IncomatibilityMessage.setMessage("OpenCV Manager service is incompatible with this app. Try to update it via Google Play.");
IncomatibilityMessage.setCancelable(false); // This blocks the 'BACK' button
IncomatibilityMessage.setButton(AlertDialog.BUTTON_POSITIVE, "OK", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
finish();
}
});
IncomatibilityMessage.show();
} break;
/** Other status, i.e. INIT_FAILED. **/
default:
{
Log.e(TAG, "OpenCV loading failed!");
AlertDialog InitFailedDialog = new AlertDialog.Builder(mAppContext).create();
InitFailedDialog.setTitle("OpenCV error");
InitFailedDialog.setMessage("OpenCV was not initialised correctly. Application will be shut down");
InitFailedDialog.setCancelable(false); // This blocks the 'BACK' button
InitFailedDialog.setButton(AlertDialog.BUTTON_POSITIVE, "OK", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
finish();
}
});
InitFailedDialog.show();
} break;
}
}
public void onPackageInstall(final int operation, final InstallCallbackInterface callback)
{
switch (operation)
{
case InstallCallbackInterface.NEW_INSTALLATION:
{
AlertDialog InstallMessage = new AlertDialog.Builder(mAppContext).create();
InstallMessage.setTitle("Package not found");
InstallMessage.setMessage(callback.getPackageName() + " package was not found! Try to install it?");
InstallMessage.setCancelable(false); // This blocks the 'BACK' button
InstallMessage.setButton(AlertDialog.BUTTON_POSITIVE, "Yes", new OnClickListener()
{
public void onClick(DialogInterface dialog, int which)
{
callback.install();
}
});
InstallMessage.setButton(AlertDialog.BUTTON_NEGATIVE, "No", new OnClickListener() {
public void onClick(DialogInterface dialog, int which)
{
callback.cancel();
}
});
InstallMessage.show();
} break;
case InstallCallbackInterface.INSTALLATION_PROGRESS:
{
AlertDialog WaitMessage = new AlertDialog.Builder(mAppContext).create();
WaitMessage.setTitle("OpenCV is not ready");
WaitMessage.setMessage("Installation is in progress. Wait or exit?");
WaitMessage.setCancelable(false); // This blocks the 'BACK' button
WaitMessage.setButton(AlertDialog.BUTTON_POSITIVE, "Wait", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
callback.wait_install();
}
});
WaitMessage.setButton(AlertDialog.BUTTON_NEGATIVE, "Exit", new OnClickListener() {
public void onClick(DialogInterface dialog, int which) {
callback.cancel();
}
});
WaitMessage.show();
} break;
}
}
void finish()
{
((Activity) mAppContext).finish();
}
protected Context mAppContext;
private final static String TAG = "OpenCVLoader/BaseLoaderCallback";
}

@ -1,302 +0,0 @@
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);
}
}
}

@ -1,495 +0,0 @@
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);
}
}

@ -1,440 +0,0 @@
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;
}
}

@ -1,119 +0,0 @@
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();
}
}

@ -1,166 +0,0 @@
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;
}
}

@ -1,66 +0,0 @@
package org.opencv.android;
import java.text.DecimalFormat;
import org.opencv.core.Core;
import android.graphics.Canvas;
import android.graphics.Color;
import android.graphics.Paint;
import android.util.Log;
public class FpsMeter {
private static final String TAG = "FpsMeter";
private static final int STEP = 20;
private static final DecimalFormat FPS_FORMAT = new DecimalFormat("0.00");
private int mFramesCouner;
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCouner = 0;
mFrequency = Core.getTickFrequency();
mprevFrameTime = Core.getTickCount();
mStrfps = "";
mPaint = new Paint();
mPaint.setColor(Color.BLUE);
mPaint.setTextSize(20);
}
public void measure() {
if (!mIsInitialized) {
init();
mIsInitialized = true;
} else {
mFramesCouner++;
if (mFramesCouner % STEP == 0) {
long time = Core.getTickCount();
double fps = STEP * mFrequency / (time - mprevFrameTime);
mprevFrameTime = time;
if (mWidth != 0 && mHeight != 0)
mStrfps = FPS_FORMAT.format(fps) + " FPS@" + Integer.valueOf(mWidth) + "x" + Integer.valueOf(mHeight);
else
mStrfps = FPS_FORMAT.format(fps) + " FPS";
Log.i(TAG, mStrfps);
}
}
}
public void setResolution(int width, int height) {
mWidth = width;
mHeight = height;
}
public void draw(Canvas canvas, float offsetx, float offsety) {
Log.d(TAG, mStrfps);
canvas.drawText(mStrfps, offsetx, offsety, mPaint);
}
}

@ -1,34 +0,0 @@
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();
};

@ -1,379 +0,0 @@
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");
}
}
}

@ -1,40 +0,0 @@
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);
};

@ -1,132 +0,0 @@
package org.opencv.android;
import android.content.Context;
/**
* Helper class provides common initialization methods for OpenCV library.
*/
public class OpenCVLoader
{
/**
* OpenCV Library version 2.4.2.
*/
public static final String OPENCV_VERSION_2_4_2 = "2.4.2";
/**
* OpenCV Library version 2.4.3.
*/
public static final String OPENCV_VERSION_2_4_3 = "2.4.3";
/**
* OpenCV Library version 2.4.4.
*/
public static final String OPENCV_VERSION_2_4_4 = "2.4.4";
/**
* OpenCV Library version 2.4.5.
*/
public static final String OPENCV_VERSION_2_4_5 = "2.4.5";
/**
* OpenCV Library version 2.4.6.
*/
public static final String OPENCV_VERSION_2_4_6 = "2.4.6";
/**
* OpenCV Library version 2.4.7.
*/
public static final String OPENCV_VERSION_2_4_7 = "2.4.7";
/**
* OpenCV Library version 2.4.8.
*/
public static final String OPENCV_VERSION_2_4_8 = "2.4.8";
/**
* OpenCV Library version 2.4.9.
*/
public static final String OPENCV_VERSION_2_4_9 = "2.4.9";
/**
* OpenCV Library version 2.4.10.
*/
public static final String OPENCV_VERSION_2_4_10 = "2.4.10";
/**
* OpenCV Library version 2.4.11.
*/
public static final String OPENCV_VERSION_2_4_11 = "2.4.11";
/**
* OpenCV Library version 2.4.12.
*/
public static final String OPENCV_VERSION_2_4_12 = "2.4.12";
/**
* OpenCV Library version 2.4.13.
*/
public static final String OPENCV_VERSION_2_4_13 = "2.4.13";
/**
* OpenCV Library version 3.0.0.
*/
public static final String OPENCV_VERSION_3_0_0 = "3.0.0";
/**
* OpenCV Library version 3.1.0.
*/
public static final String OPENCV_VERSION_3_1_0 = "3.1.0";
/**
* OpenCV Library version 3.2.0.
*/
public static final String OPENCV_VERSION_3_2_0 = "3.2.0";
/**
* OpenCV Library version 3.3.0.
*/
public static final String OPENCV_VERSION_3_3_0 = "3.3.0";
/**
* OpenCV Library version 3.4.0.
*/
public static final String OPENCV_VERSION_3_4_0 = "3.4.0";
/**
* Current OpenCV Library version
*/
public static final String OPENCV_VERSION = "3.4.0";
/**
* 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);
}
}

@ -1,104 +0,0 @@
package org.opencv.android;
import org.opencv.core.Core;
import java.util.StringTokenizer;
import android.util.Log;
class StaticHelper {
public static boolean initOpenCV(boolean InitCuda)
{
boolean result;
String libs = "";
if(InitCuda)
{
loadLibrary("cudart");
loadLibrary("nppc");
loadLibrary("nppi");
loadLibrary("npps");
loadLibrary("cufft");
loadLibrary("cublas");
}
Log.d(TAG, "Trying to get library list");
try
{
System.loadLibrary("opencv_info");
libs = getLibraryList();
}
catch(UnsatisfiedLinkError e)
{
Log.e(TAG, "OpenCV error: Cannot load info library for OpenCV");
}
Log.d(TAG, "Library list: \"" + libs + "\"");
Log.d(TAG, "First attempt to load libs");
if (initOpenCVLibs(libs))
{
Log.d(TAG, "First attempt to load libs is OK");
String eol = System.getProperty("line.separator");
for (String str : Core.getBuildInformation().split(eol))
Log.i(TAG, str);
result = true;
}
else
{
Log.d(TAG, "First attempt to load libs fails");
result = false;
}
return result;
}
private static boolean loadLibrary(String Name)
{
boolean result = true;
Log.d(TAG, "Trying to load library " + Name);
try
{
System.loadLibrary(Name);
Log.d(TAG, "Library " + Name + " loaded");
}
catch(UnsatisfiedLinkError e)
{
Log.d(TAG, "Cannot load library \"" + Name + "\"");
e.printStackTrace();
result &= false;
}
return result;
}
private static boolean initOpenCVLibs(String Libs)
{
Log.d(TAG, "Trying to init OpenCV libs");
boolean result = true;
if ((null != Libs) && (Libs.length() != 0))
{
Log.d(TAG, "Trying to load libs by dependency list");
StringTokenizer splitter = new StringTokenizer(Libs, ";");
while(splitter.hasMoreTokens())
{
result &= loadLibrary(splitter.nextToken());
}
}
else
{
// If dependencies list is not defined or empty.
result &= loadLibrary("opencv_java3");
}
return result;
}
private static final String TAG = "OpenCV/StaticHelper";
private static native String getLibraryList();
}

@ -1,139 +0,0 @@
package org.opencv.android;
import android.content.Context;
import android.graphics.Bitmap;
import org.opencv.core.CvException;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.imgcodecs.Imgcodecs;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
public class Utils {
public static String exportResource(Context context, int resourceId) {
return exportResource(context, resourceId, "OpenCV_data");
}
public static String exportResource(Context context, int resourceId, String dirname) {
String fullname = context.getResources().getString(resourceId);
String resName = fullname.substring(fullname.lastIndexOf("/") + 1);
try {
InputStream is = context.getResources().openRawResource(resourceId);
File resDir = context.getDir(dirname, Context.MODE_PRIVATE);
File resFile = new File(resDir, resName);
FileOutputStream os = new FileOutputStream(resFile);
byte[] buffer = new byte[4096];
int bytesRead;
while ((bytesRead = is.read(buffer)) != -1) {
os.write(buffer, 0, bytesRead);
}
is.close();
os.close();
return resFile.getAbsolutePath();
} catch (IOException e) {
e.printStackTrace();
throw new CvException("Failed to export resource " + resName
+ ". Exception thrown: " + e);
}
}
public static Mat loadResource(Context context, int resourceId) throws IOException
{
return loadResource(context, resourceId, -1);
}
public static Mat loadResource(Context context, int resourceId, int flags) throws IOException
{
InputStream is = context.getResources().openRawResource(resourceId);
ByteArrayOutputStream os = new ByteArrayOutputStream(is.available());
byte[] buffer = new byte[4096];
int bytesRead;
while ((bytesRead = is.read(buffer)) != -1) {
os.write(buffer, 0, bytesRead);
}
is.close();
Mat encoded = new Mat(1, os.size(), CvType.CV_8U);
encoded.put(0, 0, os.toByteArray());
os.close();
Mat decoded = Imgcodecs.imdecode(encoded, flags);
encoded.release();
return decoded;
}
/**
* Converts Android Bitmap to OpenCV Mat.
* <p>
* This function converts an Android Bitmap image to the OpenCV Mat.
* <br>'ARGB_8888' and 'RGB_565' input Bitmap formats are supported.
* <br>The output Mat is always created of the same size as the input Bitmap and of the 'CV_8UC4' type,
* it keeps the image in RGBA format.
* <br>This function throws an exception if the conversion fails.
* @param bmp is a valid input Bitmap object of the type 'ARGB_8888' or 'RGB_565'.
* @param mat is a valid output Mat object, it will be reallocated if needed, so it may be empty.
* @param unPremultiplyAlpha is a flag, that determines, whether the bitmap needs to be converted from alpha premultiplied format (like Android keeps 'ARGB_8888' ones) to regular one; this flag is ignored for 'RGB_565' bitmaps.
*/
public static void bitmapToMat(Bitmap bmp, Mat mat, boolean unPremultiplyAlpha) {
if (bmp == null)
throw new java.lang.IllegalArgumentException("bmp == null");
if (mat == null)
throw new java.lang.IllegalArgumentException("mat == null");
nBitmapToMat2(bmp, mat.nativeObj, unPremultiplyAlpha);
}
/**
* Short form of the bitmapToMat(bmp, mat, unPremultiplyAlpha=false).
* @param bmp is a valid input Bitmap object of the type 'ARGB_8888' or 'RGB_565'.
* @param mat is a valid output Mat object, it will be reallocated if needed, so Mat may be empty.
*/
public static void bitmapToMat(Bitmap bmp, Mat mat) {
bitmapToMat(bmp, mat, false);
}
/**
* Converts OpenCV Mat to Android Bitmap.
* <p>
* <br>This function converts an image in the OpenCV Mat representation to the Android Bitmap.
* <br>The input Mat object has to be of the types 'CV_8UC1' (gray-scale), 'CV_8UC3' (RGB) or 'CV_8UC4' (RGBA).
* <br>The output Bitmap object has to be of the same size as the input Mat and of the types 'ARGB_8888' or 'RGB_565'.
* <br>This function throws an exception if the conversion fails.
*
* @param mat is a valid input Mat object of types 'CV_8UC1', 'CV_8UC3' or 'CV_8UC4'.
* @param bmp is a valid Bitmap object of the same size as the Mat and of type 'ARGB_8888' or 'RGB_565'.
* @param premultiplyAlpha is a flag, that determines, whether the Mat needs to be converted to alpha premultiplied format (like Android keeps 'ARGB_8888' bitmaps); the flag is ignored for 'RGB_565' bitmaps.
*/
public static void matToBitmap(Mat mat, Bitmap bmp, boolean premultiplyAlpha) {
if (mat == null)
throw new java.lang.IllegalArgumentException("mat == null");
if (bmp == null)
throw new java.lang.IllegalArgumentException("bmp == null");
nMatToBitmap2(mat.nativeObj, bmp, premultiplyAlpha);
}
/**
* Short form of the <b>matToBitmap(mat, bmp, premultiplyAlpha=false)</b>
* @param mat is a valid input Mat object of the types 'CV_8UC1', 'CV_8UC3' or 'CV_8UC4'.
* @param bmp is a valid Bitmap object of the same size as the Mat and of type 'ARGB_8888' or 'RGB_565'.
*/
public static void matToBitmap(Mat mat, Bitmap bmp) {
matToBitmap(mat, bmp, false);
}
private static native void nBitmapToMat2(Bitmap b, long m_addr, boolean unPremultiplyAlpha);
private static native void nMatToBitmap2(long m_addr, Bitmap b, boolean premultiplyAlpha);
}

@ -1,331 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.calib3d;
import org.opencv.core.Rect;
// C++: class StereoBM
//javadoc: StereoBM
public class StereoBM extends StereoMatcher {
protected StereoBM(long addr) { super(addr); }
public static final int
PREFILTER_NORMALIZED_RESPONSE = 0,
PREFILTER_XSOBEL = 1;
//
// C++: static Ptr_StereoBM create(int numDisparities = 0, int blockSize = 21)
//
//javadoc: StereoBM::create(numDisparities, blockSize)
public static StereoBM create(int numDisparities, int blockSize)
{
StereoBM retVal = new StereoBM(create_0(numDisparities, blockSize));
return retVal;
}
//javadoc: StereoBM::create()
public static StereoBM create()
{
StereoBM retVal = new StereoBM(create_1());
return retVal;
}
//
// C++: Rect getROI1()
//
//javadoc: StereoBM::getROI1()
public Rect getROI1()
{
Rect retVal = new Rect(getROI1_0(nativeObj));
return retVal;
}
//
// C++: Rect getROI2()
//
//javadoc: StereoBM::getROI2()
public Rect getROI2()
{
Rect retVal = new Rect(getROI2_0(nativeObj));
return retVal;
}
//
// C++: int getPreFilterCap()
//
//javadoc: StereoBM::getPreFilterCap()
public int getPreFilterCap()
{
int retVal = getPreFilterCap_0(nativeObj);
return retVal;
}
//
// C++: int getPreFilterSize()
//
//javadoc: StereoBM::getPreFilterSize()
public int getPreFilterSize()
{
int retVal = getPreFilterSize_0(nativeObj);
return retVal;
}
//
// C++: int getPreFilterType()
//
//javadoc: StereoBM::getPreFilterType()
public int getPreFilterType()
{
int retVal = getPreFilterType_0(nativeObj);
return retVal;
}
//
// C++: int getSmallerBlockSize()
//
//javadoc: StereoBM::getSmallerBlockSize()
public int getSmallerBlockSize()
{
int retVal = getSmallerBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int getTextureThreshold()
//
//javadoc: StereoBM::getTextureThreshold()
public int getTextureThreshold()
{
int retVal = getTextureThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getUniquenessRatio()
//
//javadoc: StereoBM::getUniquenessRatio()
public int getUniquenessRatio()
{
int retVal = getUniquenessRatio_0(nativeObj);
return retVal;
}
//
// C++: void setPreFilterCap(int preFilterCap)
//
//javadoc: StereoBM::setPreFilterCap(preFilterCap)
public void setPreFilterCap(int preFilterCap)
{
setPreFilterCap_0(nativeObj, preFilterCap);
return;
}
//
// C++: void setPreFilterSize(int preFilterSize)
//
//javadoc: StereoBM::setPreFilterSize(preFilterSize)
public void setPreFilterSize(int preFilterSize)
{
setPreFilterSize_0(nativeObj, preFilterSize);
return;
}
//
// C++: void setPreFilterType(int preFilterType)
//
//javadoc: StereoBM::setPreFilterType(preFilterType)
public void setPreFilterType(int preFilterType)
{
setPreFilterType_0(nativeObj, preFilterType);
return;
}
//
// C++: void setROI1(Rect roi1)
//
//javadoc: StereoBM::setROI1(roi1)
public void setROI1(Rect roi1)
{
setROI1_0(nativeObj, roi1.x, roi1.y, roi1.width, roi1.height);
return;
}
//
// C++: void setROI2(Rect roi2)
//
//javadoc: StereoBM::setROI2(roi2)
public void setROI2(Rect roi2)
{
setROI2_0(nativeObj, roi2.x, roi2.y, roi2.width, roi2.height);
return;
}
//
// C++: void setSmallerBlockSize(int blockSize)
//
//javadoc: StereoBM::setSmallerBlockSize(blockSize)
public void setSmallerBlockSize(int blockSize)
{
setSmallerBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void setTextureThreshold(int textureThreshold)
//
//javadoc: StereoBM::setTextureThreshold(textureThreshold)
public void setTextureThreshold(int textureThreshold)
{
setTextureThreshold_0(nativeObj, textureThreshold);
return;
}
//
// C++: void setUniquenessRatio(int uniquenessRatio)
//
//javadoc: StereoBM::setUniquenessRatio(uniquenessRatio)
public void setUniquenessRatio(int uniquenessRatio)
{
setUniquenessRatio_0(nativeObj, uniquenessRatio);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_StereoBM create(int numDisparities = 0, int blockSize = 21)
private static native long create_0(int numDisparities, int blockSize);
private static native long create_1();
// C++: Rect getROI1()
private static native double[] getROI1_0(long nativeObj);
// C++: Rect getROI2()
private static native double[] getROI2_0(long nativeObj);
// C++: int getPreFilterCap()
private static native int getPreFilterCap_0(long nativeObj);
// C++: int getPreFilterSize()
private static native int getPreFilterSize_0(long nativeObj);
// C++: int getPreFilterType()
private static native int getPreFilterType_0(long nativeObj);
// C++: int getSmallerBlockSize()
private static native int getSmallerBlockSize_0(long nativeObj);
// C++: int getTextureThreshold()
private static native int getTextureThreshold_0(long nativeObj);
// C++: int getUniquenessRatio()
private static native int getUniquenessRatio_0(long nativeObj);
// C++: void setPreFilterCap(int preFilterCap)
private static native void setPreFilterCap_0(long nativeObj, int preFilterCap);
// C++: void setPreFilterSize(int preFilterSize)
private static native void setPreFilterSize_0(long nativeObj, int preFilterSize);
// C++: void setPreFilterType(int preFilterType)
private static native void setPreFilterType_0(long nativeObj, int preFilterType);
// C++: void setROI1(Rect roi1)
private static native void setROI1_0(long nativeObj, int roi1_x, int roi1_y, int roi1_width, int roi1_height);
// C++: void setROI2(Rect roi2)
private static native void setROI2_0(long nativeObj, int roi2_x, int roi2_y, int roi2_width, int roi2_height);
// C++: void setSmallerBlockSize(int blockSize)
private static native void setSmallerBlockSize_0(long nativeObj, int blockSize);
// C++: void setTextureThreshold(int textureThreshold)
private static native void setTextureThreshold_0(long nativeObj, int textureThreshold);
// C++: void setUniquenessRatio(int uniquenessRatio)
private static native void setUniquenessRatio_0(long nativeObj, int uniquenessRatio);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,254 +0,0 @@
//
// 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); }
public static final int
DISP_SHIFT = 4,
DISP_SCALE = (1 << DISP_SHIFT);
//
// C++: int getBlockSize()
//
//javadoc: StereoMatcher::getBlockSize()
public int getBlockSize()
{
int retVal = getBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int getDisp12MaxDiff()
//
//javadoc: StereoMatcher::getDisp12MaxDiff()
public int getDisp12MaxDiff()
{
int retVal = getDisp12MaxDiff_0(nativeObj);
return retVal;
}
//
// C++: int getMinDisparity()
//
//javadoc: StereoMatcher::getMinDisparity()
public int getMinDisparity()
{
int retVal = getMinDisparity_0(nativeObj);
return retVal;
}
//
// C++: int getNumDisparities()
//
//javadoc: StereoMatcher::getNumDisparities()
public int getNumDisparities()
{
int retVal = getNumDisparities_0(nativeObj);
return retVal;
}
//
// C++: int getSpeckleRange()
//
//javadoc: StereoMatcher::getSpeckleRange()
public int getSpeckleRange()
{
int retVal = getSpeckleRange_0(nativeObj);
return retVal;
}
//
// C++: int getSpeckleWindowSize()
//
//javadoc: StereoMatcher::getSpeckleWindowSize()
public int getSpeckleWindowSize()
{
int retVal = getSpeckleWindowSize_0(nativeObj);
return retVal;
}
//
// C++: void compute(Mat left, Mat right, Mat& disparity)
//
//javadoc: StereoMatcher::compute(left, right, disparity)
public void compute(Mat left, Mat right, Mat disparity)
{
compute_0(nativeObj, left.nativeObj, right.nativeObj, disparity.nativeObj);
return;
}
//
// C++: void setBlockSize(int blockSize)
//
//javadoc: StereoMatcher::setBlockSize(blockSize)
public void setBlockSize(int blockSize)
{
setBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void setDisp12MaxDiff(int disp12MaxDiff)
//
//javadoc: StereoMatcher::setDisp12MaxDiff(disp12MaxDiff)
public void setDisp12MaxDiff(int disp12MaxDiff)
{
setDisp12MaxDiff_0(nativeObj, disp12MaxDiff);
return;
}
//
// C++: void setMinDisparity(int minDisparity)
//
//javadoc: StereoMatcher::setMinDisparity(minDisparity)
public void setMinDisparity(int minDisparity)
{
setMinDisparity_0(nativeObj, minDisparity);
return;
}
//
// C++: void setNumDisparities(int numDisparities)
//
//javadoc: StereoMatcher::setNumDisparities(numDisparities)
public void setNumDisparities(int numDisparities)
{
setNumDisparities_0(nativeObj, numDisparities);
return;
}
//
// C++: void setSpeckleRange(int speckleRange)
//
//javadoc: StereoMatcher::setSpeckleRange(speckleRange)
public void setSpeckleRange(int speckleRange)
{
setSpeckleRange_0(nativeObj, speckleRange);
return;
}
//
// C++: void setSpeckleWindowSize(int speckleWindowSize)
//
//javadoc: StereoMatcher::setSpeckleWindowSize(speckleWindowSize)
public void setSpeckleWindowSize(int speckleWindowSize)
{
setSpeckleWindowSize_0(nativeObj, speckleWindowSize);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: int getBlockSize()
private static native int getBlockSize_0(long nativeObj);
// C++: int getDisp12MaxDiff()
private static native int getDisp12MaxDiff_0(long nativeObj);
// C++: int getMinDisparity()
private static native int getMinDisparity_0(long nativeObj);
// C++: int getNumDisparities()
private static native int getNumDisparities_0(long nativeObj);
// C++: int getSpeckleRange()
private static native int getSpeckleRange_0(long nativeObj);
// C++: int getSpeckleWindowSize()
private static native int getSpeckleWindowSize_0(long nativeObj);
// C++: void compute(Mat left, Mat right, Mat& disparity)
private static native void compute_0(long nativeObj, long left_nativeObj, long right_nativeObj, long disparity_nativeObj);
// C++: void setBlockSize(int blockSize)
private static native void setBlockSize_0(long nativeObj, int blockSize);
// C++: void setDisp12MaxDiff(int disp12MaxDiff)
private static native void setDisp12MaxDiff_0(long nativeObj, int disp12MaxDiff);
// C++: void setMinDisparity(int minDisparity)
private static native void setMinDisparity_0(long nativeObj, int minDisparity);
// C++: void setNumDisparities(int numDisparities)
private static native void setNumDisparities_0(long nativeObj, int numDisparities);
// C++: void setSpeckleRange(int speckleRange)
private static native void setSpeckleRange_0(long nativeObj, int speckleRange);
// C++: void setSpeckleWindowSize(int speckleWindowSize)
private static native void setSpeckleWindowSize_0(long nativeObj, int speckleWindowSize);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,231 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.calib3d;
// C++: class StereoSGBM
//javadoc: StereoSGBM
public class StereoSGBM extends StereoMatcher {
protected StereoSGBM(long addr) { super(addr); }
public static final int
MODE_SGBM = 0,
MODE_HH = 1,
MODE_SGBM_3WAY = 2,
MODE_HH4 = 3;
//
// C++: static Ptr_StereoSGBM create(int minDisparity = 0, int numDisparities = 16, int blockSize = 3, int P1 = 0, int P2 = 0, int disp12MaxDiff = 0, int preFilterCap = 0, int uniquenessRatio = 0, int speckleWindowSize = 0, int speckleRange = 0, int mode = StereoSGBM::MODE_SGBM)
//
//javadoc: StereoSGBM::create(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange, mode)
public static StereoSGBM create(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange, int mode)
{
StereoSGBM retVal = new StereoSGBM(create_0(minDisparity, numDisparities, blockSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange, mode));
return retVal;
}
//javadoc: StereoSGBM::create()
public static StereoSGBM create()
{
StereoSGBM retVal = new StereoSGBM(create_1());
return retVal;
}
//
// C++: int getMode()
//
//javadoc: StereoSGBM::getMode()
public int getMode()
{
int retVal = getMode_0(nativeObj);
return retVal;
}
//
// C++: int getP1()
//
//javadoc: StereoSGBM::getP1()
public int getP1()
{
int retVal = getP1_0(nativeObj);
return retVal;
}
//
// C++: int getP2()
//
//javadoc: StereoSGBM::getP2()
public int getP2()
{
int retVal = getP2_0(nativeObj);
return retVal;
}
//
// C++: int getPreFilterCap()
//
//javadoc: StereoSGBM::getPreFilterCap()
public int getPreFilterCap()
{
int retVal = getPreFilterCap_0(nativeObj);
return retVal;
}
//
// C++: int getUniquenessRatio()
//
//javadoc: StereoSGBM::getUniquenessRatio()
public int getUniquenessRatio()
{
int retVal = getUniquenessRatio_0(nativeObj);
return retVal;
}
//
// C++: void setMode(int mode)
//
//javadoc: StereoSGBM::setMode(mode)
public void setMode(int mode)
{
setMode_0(nativeObj, mode);
return;
}
//
// C++: void setP1(int P1)
//
//javadoc: StereoSGBM::setP1(P1)
public void setP1(int P1)
{
setP1_0(nativeObj, P1);
return;
}
//
// C++: void setP2(int P2)
//
//javadoc: StereoSGBM::setP2(P2)
public void setP2(int P2)
{
setP2_0(nativeObj, P2);
return;
}
//
// C++: void setPreFilterCap(int preFilterCap)
//
//javadoc: StereoSGBM::setPreFilterCap(preFilterCap)
public void setPreFilterCap(int preFilterCap)
{
setPreFilterCap_0(nativeObj, preFilterCap);
return;
}
//
// C++: void setUniquenessRatio(int uniquenessRatio)
//
//javadoc: StereoSGBM::setUniquenessRatio(uniquenessRatio)
public void setUniquenessRatio(int uniquenessRatio)
{
setUniquenessRatio_0(nativeObj, uniquenessRatio);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_StereoSGBM create(int minDisparity = 0, int numDisparities = 16, int blockSize = 3, int P1 = 0, int P2 = 0, int disp12MaxDiff = 0, int preFilterCap = 0, int uniquenessRatio = 0, int speckleWindowSize = 0, int speckleRange = 0, int mode = StereoSGBM::MODE_SGBM)
private static native long create_0(int minDisparity, int numDisparities, int blockSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange, int mode);
private static native long create_1();
// C++: int getMode()
private static native int getMode_0(long nativeObj);
// C++: int getP1()
private static native int getP1_0(long nativeObj);
// C++: int getP2()
private static native int getP2_0(long nativeObj);
// C++: int getPreFilterCap()
private static native int getPreFilterCap_0(long nativeObj);
// C++: int getUniquenessRatio()
private static native int getUniquenessRatio_0(long nativeObj);
// C++: void setMode(int mode)
private static native void setMode_0(long nativeObj, int mode);
// C++: void setP1(int P1)
private static native void setP1_0(long nativeObj, int P1);
// C++: void setP2(int P2)
private static native void setP2_0(long nativeObj, int P2);
// C++: void setPreFilterCap(int preFilterCap)
private static native void setPreFilterCap_0(long nativeObj, int preFilterCap);
// C++: void setUniquenessRatio(int uniquenessRatio)
private static native void setUniquenessRatio_0(long nativeObj, int uniquenessRatio);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,111 +0,0 @@
//
// 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; }
//
// C++: String getDefaultName()
//
//javadoc: Algorithm::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool empty()
//
//javadoc: Algorithm::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: void clear()
//
//javadoc: Algorithm::clear()
public void clear()
{
clear_0(nativeObj);
return;
}
//
// C++: void read(FileNode fn)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void save(String filename)
//
//javadoc: Algorithm::save(filename)
public void save(String filename)
{
save_0(nativeObj, filename);
return;
}
//
// C++: void write(Ptr_FileStorage fs, String name = String())
//
// Unknown type 'Ptr_FileStorage' (I), skipping the function
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: void clear()
private static native void clear_0(long nativeObj);
// C++: void save(String filename)
private static native void save_0(long nativeObj, String filename);
// native support for java finalize()
private static native void delete(long nativeObj);
}

File diff suppressed because it is too large Load Diff

@ -1,15 +0,0 @@
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() + "]";
}
}

@ -1,136 +0,0 @@
package org.opencv.core;
public final class CvType {
// type depth constants
public static final int
CV_8U = 0, CV_8S = 1,
CV_16U = 2, CV_16S = 3,
CV_32S = 4,
CV_32F = 5,
CV_64F = 6,
CV_USRTYPE1 = 7;
// predefined type constants
public static final int
CV_8UC1 = CV_8UC(1), CV_8UC2 = CV_8UC(2), CV_8UC3 = CV_8UC(3), CV_8UC4 = CV_8UC(4),
CV_8SC1 = CV_8SC(1), CV_8SC2 = CV_8SC(2), CV_8SC3 = CV_8SC(3), CV_8SC4 = CV_8SC(4),
CV_16UC1 = CV_16UC(1), CV_16UC2 = CV_16UC(2), CV_16UC3 = CV_16UC(3), CV_16UC4 = CV_16UC(4),
CV_16SC1 = CV_16SC(1), CV_16SC2 = CV_16SC(2), CV_16SC3 = CV_16SC(3), CV_16SC4 = CV_16SC(4),
CV_32SC1 = CV_32SC(1), CV_32SC2 = CV_32SC(2), CV_32SC3 = CV_32SC(3), CV_32SC4 = CV_32SC(4),
CV_32FC1 = CV_32FC(1), CV_32FC2 = CV_32FC(2), CV_32FC3 = CV_32FC(3), CV_32FC4 = CV_32FC(4),
CV_64FC1 = CV_64FC(1), CV_64FC2 = CV_64FC(2), CV_64FC3 = CV_64FC(3), CV_64FC4 = CV_64FC(4);
private static final int CV_CN_MAX = 512, CV_CN_SHIFT = 3, CV_DEPTH_MAX = (1 << CV_CN_SHIFT);
public static final int makeType(int depth, int channels) {
if (channels <= 0 || channels >= CV_CN_MAX) {
throw new java.lang.UnsupportedOperationException(
"Channels count should be 1.." + (CV_CN_MAX - 1));
}
if (depth < 0 || depth >= CV_DEPTH_MAX) {
throw new java.lang.UnsupportedOperationException(
"Data type depth should be 0.." + (CV_DEPTH_MAX - 1));
}
return (depth & (CV_DEPTH_MAX - 1)) + ((channels - 1) << CV_CN_SHIFT);
}
public static final int CV_8UC(int ch) {
return makeType(CV_8U, ch);
}
public static final int CV_8SC(int ch) {
return makeType(CV_8S, ch);
}
public static final int CV_16UC(int ch) {
return makeType(CV_16U, ch);
}
public static final int CV_16SC(int ch) {
return makeType(CV_16S, ch);
}
public static final int CV_32SC(int ch) {
return makeType(CV_32S, ch);
}
public static final int CV_32FC(int ch) {
return makeType(CV_32F, ch);
}
public static final int CV_64FC(int ch) {
return makeType(CV_64F, ch);
}
public static final int channels(int type) {
return (type >> CV_CN_SHIFT) + 1;
}
public static final int depth(int type) {
return type & (CV_DEPTH_MAX - 1);
}
public static final boolean isInteger(int type) {
return depth(type) < CV_32F;
}
public static final int ELEM_SIZE(int type) {
switch (depth(type)) {
case CV_8U:
case CV_8S:
return channels(type);
case CV_16U:
case CV_16S:
return 2 * channels(type);
case CV_32S:
case CV_32F:
return 4 * channels(type);
case CV_64F:
return 8 * channels(type);
default:
throw new java.lang.UnsupportedOperationException(
"Unsupported CvType value: " + type);
}
}
public static final String typeToString(int type) {
String s;
switch (depth(type)) {
case CV_8U:
s = "CV_8U";
break;
case CV_8S:
s = "CV_8S";
break;
case CV_16U:
s = "CV_16U";
break;
case CV_16S:
s = "CV_16S";
break;
case CV_32S:
s = "CV_32S";
break;
case CV_32F:
s = "CV_32F";
break;
case CV_64F:
s = "CV_64F";
break;
case CV_USRTYPE1:
s = "CV_USRTYPE1";
break;
default:
throw new java.lang.UnsupportedOperationException(
"Unsupported CvType value: " + type);
}
int ch = channels(type);
if (ch <= 4)
return s + "C" + ch;
else
return s + "C(" + ch + ")";
}
}

@ -1,58 +0,0 @@
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 + "]";
}
}

@ -1,83 +0,0 @@
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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@ -1,79 +0,0 @@
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 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 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);
}
}

@ -1,83 +0,0 @@
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);
}
}

@ -1,79 +0,0 @@
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);
}
}

@ -1,79 +0,0 @@
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);
}
}

@ -1,79 +0,0 @@
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);
}
}

@ -1,79 +0,0 @@
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);
}
}

@ -1,80 +0,0 @@
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);
}
}

@ -1,80 +0,0 @@
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);
}
}

@ -1,86 +0,0 @@
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);
}
}

@ -1,78 +0,0 @@
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);
}
}

@ -1,78 +0,0 @@
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);
}
}

@ -1,79 +0,0 @@
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);
}
}

@ -1,79 +0,0 @@
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);
}
}

@ -1,81 +0,0 @@
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);
}
}

@ -1,81 +0,0 @@
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);
}
}

@ -1,68 +0,0 @@
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 + "}";
}
}

@ -1,79 +0,0 @@
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 + "}";
}
}

@ -1,82 +0,0 @@
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 + ")";
}
}

@ -1,104 +0,0 @@
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 + "}";
}
}

@ -1,104 +0,0 @@
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 + "}";
}
}

@ -1,113 +0,0 @@
package org.opencv.core;
//javadoc:RotatedRect_
public class RotatedRect {
public Point center;
public Size size;
public double angle;
public RotatedRect() {
this.center = new Point();
this.size = new Size();
this.angle = 0;
}
public RotatedRect(Point c, Size s, double a) {
this.center = c.clone();
this.size = s.clone();
this.angle = a;
}
public RotatedRect(double[] vals) {
this();
set(vals);
}
public void set(double[] vals) {
if (vals != null) {
center.x = vals.length > 0 ? (double) vals[0] : 0;
center.y = vals.length > 1 ? (double) vals[1] : 0;
size.width = vals.length > 2 ? (double) vals[2] : 0;
size.height = vals.length > 3 ? (double) vals[3] : 0;
angle = vals.length > 4 ? (double) vals[4] : 0;
} else {
center.x = 0;
center.x = 0;
size.width = 0;
size.height = 0;
angle = 0;
}
}
public void points(Point pt[])
{
double _angle = angle * Math.PI / 180.0;
double b = (double) Math.cos(_angle) * 0.5f;
double a = (double) Math.sin(_angle) * 0.5f;
pt[0] = new Point(
center.x - a * size.height - b * size.width,
center.y + b * size.height - a * size.width);
pt[1] = new Point(
center.x + a * size.height - b * size.width,
center.y - b * size.height - a * size.width);
pt[2] = new Point(
2 * center.x - pt[0].x,
2 * center.y - pt[0].y);
pt[3] = new Point(
2 * center.x - pt[1].x,
2 * center.y - pt[1].y);
}
public Rect boundingRect()
{
Point pt[] = new Point[4];
points(pt);
Rect r = new Rect((int) Math.floor(Math.min(Math.min(Math.min(pt[0].x, pt[1].x), pt[2].x), pt[3].x)),
(int) Math.floor(Math.min(Math.min(Math.min(pt[0].y, pt[1].y), pt[2].y), pt[3].y)),
(int) Math.ceil(Math.max(Math.max(Math.max(pt[0].x, pt[1].x), pt[2].x), pt[3].x)),
(int) Math.ceil(Math.max(Math.max(Math.max(pt[0].y, pt[1].y), pt[2].y), pt[3].y)));
r.width -= r.x - 1;
r.height -= r.y - 1;
return r;
}
public RotatedRect clone() {
return new RotatedRect(center, size, angle);
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
long temp;
temp = Double.doubleToLongBits(center.x);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(center.y);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(size.width);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(size.height);
result = prime * result + (int) (temp ^ (temp >>> 32));
temp = Double.doubleToLongBits(angle);
result = prime * result + (int) (temp ^ (temp >>> 32));
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (!(obj instanceof RotatedRect)) return false;
RotatedRect it = (RotatedRect) obj;
return center.equals(it.center) && size.equals(it.size) && angle == it.angle;
}
@Override
public String toString() {
return "{ " + center + " " + size + " * " + angle + " }";
}
}

@ -1,90 +0,0 @@
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] + "]";
}
}

@ -1,73 +0,0 @@
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;
}
}

@ -1,92 +0,0 @@
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 + "}";
}
}

@ -1,182 +0,0 @@
//
// 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; }
//
// C++: TickMeter()
//
//javadoc: TickMeter::TickMeter()
public TickMeter()
{
nativeObj = TickMeter_0();
return;
}
//
// C++: double getTimeMicro()
//
//javadoc: TickMeter::getTimeMicro()
public double getTimeMicro()
{
double retVal = getTimeMicro_0(nativeObj);
return retVal;
}
//
// C++: double getTimeMilli()
//
//javadoc: TickMeter::getTimeMilli()
public double getTimeMilli()
{
double retVal = getTimeMilli_0(nativeObj);
return retVal;
}
//
// C++: double getTimeSec()
//
//javadoc: TickMeter::getTimeSec()
public double getTimeSec()
{
double retVal = getTimeSec_0(nativeObj);
return retVal;
}
//
// C++: int64 getCounter()
//
//javadoc: TickMeter::getCounter()
public long getCounter()
{
long retVal = getCounter_0(nativeObj);
return retVal;
}
//
// C++: int64 getTimeTicks()
//
//javadoc: TickMeter::getTimeTicks()
public long getTimeTicks()
{
long retVal = getTimeTicks_0(nativeObj);
return retVal;
}
//
// C++: void reset()
//
//javadoc: TickMeter::reset()
public void reset()
{
reset_0(nativeObj);
return;
}
//
// C++: void start()
//
//javadoc: TickMeter::start()
public void start()
{
start_0(nativeObj);
return;
}
//
// C++: void stop()
//
//javadoc: TickMeter::stop()
public void stop()
{
stop_0(nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: TickMeter()
private static native long TickMeter_0();
// C++: double getTimeMicro()
private static native double getTimeMicro_0(long nativeObj);
// C++: double getTimeMilli()
private static native double getTimeMilli_0(long nativeObj);
// C++: double getTimeSec()
private static native double getTimeSec_0(long nativeObj);
// C++: int64 getCounter()
private static native long getCounter_0(long nativeObj);
// C++: int64 getTimeTicks()
private static native long getTimeTicks_0(long nativeObj);
// C++: void reset()
private static native void reset_0(long nativeObj);
// C++: void start()
private static native void start_0(long nativeObj);
// C++: void stop()
private static native void stop_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,212 +0,0 @@
//
// 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; }
//
// C++: DictValue(String s)
//
//javadoc: DictValue::DictValue(s)
public DictValue(String s)
{
nativeObj = DictValue_0(s);
return;
}
//
// C++: DictValue(double p)
//
//javadoc: DictValue::DictValue(p)
public DictValue(double p)
{
nativeObj = DictValue_1(p);
return;
}
//
// C++: DictValue(int i)
//
//javadoc: DictValue::DictValue(i)
public DictValue(int i)
{
nativeObj = DictValue_2(i);
return;
}
//
// C++: String getStringValue(int idx = -1)
//
//javadoc: DictValue::getStringValue(idx)
public String getStringValue(int idx)
{
String retVal = getStringValue_0(nativeObj, idx);
return retVal;
}
//javadoc: DictValue::getStringValue()
public String getStringValue()
{
String retVal = getStringValue_1(nativeObj);
return retVal;
}
//
// C++: bool isInt()
//
//javadoc: DictValue::isInt()
public boolean isInt()
{
boolean retVal = isInt_0(nativeObj);
return retVal;
}
//
// C++: bool isReal()
//
//javadoc: DictValue::isReal()
public boolean isReal()
{
boolean retVal = isReal_0(nativeObj);
return retVal;
}
//
// C++: bool isString()
//
//javadoc: DictValue::isString()
public boolean isString()
{
boolean retVal = isString_0(nativeObj);
return retVal;
}
//
// C++: double getRealValue(int idx = -1)
//
//javadoc: DictValue::getRealValue(idx)
public double getRealValue(int idx)
{
double retVal = getRealValue_0(nativeObj, idx);
return retVal;
}
//javadoc: DictValue::getRealValue()
public double getRealValue()
{
double retVal = getRealValue_1(nativeObj);
return retVal;
}
//
// C++: int getIntValue(int idx = -1)
//
//javadoc: DictValue::getIntValue(idx)
public int getIntValue(int idx)
{
int retVal = getIntValue_0(nativeObj, idx);
return retVal;
}
//javadoc: DictValue::getIntValue()
public int getIntValue()
{
int retVal = getIntValue_1(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: DictValue(String s)
private static native long DictValue_0(String s);
// C++: DictValue(double p)
private static native long DictValue_1(double p);
// C++: DictValue(int i)
private static native long DictValue_2(int i);
// C++: String getStringValue(int idx = -1)
private static native String getStringValue_0(long nativeObj, int idx);
private static native String getStringValue_1(long nativeObj);
// C++: bool isInt()
private static native boolean isInt_0(long nativeObj);
// C++: bool isReal()
private static native boolean isReal_0(long nativeObj);
// C++: bool isString()
private static native boolean isString_0(long nativeObj);
// C++: double getRealValue(int idx = -1)
private static native double getRealValue_0(long nativeObj, int idx);
private static native double getRealValue_1(long nativeObj);
// C++: int getIntValue(int idx = -1)
private static native int getIntValue_0(long nativeObj, int idx);
private static native int getIntValue_1(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,279 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.dnn;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfRect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.utils.Converters;
// C++: class Dnn
//javadoc: Dnn
public class Dnn {
public static final int
DNN_BACKEND_DEFAULT = 0,
DNN_BACKEND_HALIDE = 1,
DNN_TARGET_CPU = 0,
DNN_TARGET_OPENCL = 1;
//
// C++: Mat blobFromImage(Mat image, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
//
//javadoc: blobFromImage(image, scalefactor, size, mean, swapRB, crop)
public static Mat blobFromImage(Mat image, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop)
{
Mat retVal = new Mat(blobFromImage_0(image.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3], swapRB, crop));
return retVal;
}
//javadoc: blobFromImage(image)
public static Mat blobFromImage(Mat image)
{
Mat retVal = new Mat(blobFromImage_1(image.nativeObj));
return retVal;
}
//
// C++: Mat blobFromImages(vector_Mat images, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
//
//javadoc: blobFromImages(images, scalefactor, size, mean, swapRB, crop)
public static Mat blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_0(images_mat.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3], swapRB, crop));
return retVal;
}
//javadoc: blobFromImages(images)
public static Mat blobFromImages(List<Mat> images)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat retVal = new Mat(blobFromImages_1(images_mat.nativeObj));
return retVal;
}
//
// C++: Mat readTorchBlob(String filename, bool isBinary = true)
//
//javadoc: readTorchBlob(filename, isBinary)
public static Mat readTorchBlob(String filename, boolean isBinary)
{
Mat retVal = new Mat(readTorchBlob_0(filename, isBinary));
return retVal;
}
//javadoc: readTorchBlob(filename)
public static Mat readTorchBlob(String filename)
{
Mat retVal = new Mat(readTorchBlob_1(filename));
return retVal;
}
//
// C++: Net readNetFromCaffe(String prototxt, String caffeModel = String())
//
//javadoc: readNetFromCaffe(prototxt, caffeModel)
public static Net readNetFromCaffe(String prototxt, String caffeModel)
{
Net retVal = new Net(readNetFromCaffe_0(prototxt, caffeModel));
return retVal;
}
//javadoc: readNetFromCaffe(prototxt)
public static Net readNetFromCaffe(String prototxt)
{
Net retVal = new Net(readNetFromCaffe_1(prototxt));
return retVal;
}
//
// C++: Net readNetFromDarknet(String cfgFile, String darknetModel = String())
//
//javadoc: readNetFromDarknet(cfgFile, darknetModel)
public static Net readNetFromDarknet(String cfgFile, String darknetModel)
{
Net retVal = new Net(readNetFromDarknet_0(cfgFile, darknetModel));
return retVal;
}
//javadoc: readNetFromDarknet(cfgFile)
public static Net readNetFromDarknet(String cfgFile)
{
Net retVal = new Net(readNetFromDarknet_1(cfgFile));
return retVal;
}
//
// C++: Net readNetFromTensorflow(String model, String config = String())
//
//javadoc: readNetFromTensorflow(model, config)
public static Net readNetFromTensorflow(String model, String config)
{
Net retVal = new Net(readNetFromTensorflow_0(model, config));
return retVal;
}
//javadoc: readNetFromTensorflow(model)
public static Net readNetFromTensorflow(String model)
{
Net retVal = new Net(readNetFromTensorflow_1(model));
return retVal;
}
//
// C++: Net readNetFromTorch(String model, bool isBinary = true)
//
//javadoc: readNetFromTorch(model, isBinary)
public static Net readNetFromTorch(String model, boolean isBinary)
{
Net retVal = new Net(readNetFromTorch_0(model, isBinary));
return retVal;
}
//javadoc: readNetFromTorch(model)
public static Net readNetFromTorch(String model)
{
Net retVal = new Net(readNetFromTorch_1(model));
return retVal;
}
//
// C++: void NMSBoxes(vector_Rect bboxes, vector_float scores, float score_threshold, float nms_threshold, vector_int& indices, float eta = 1.f, int top_k = 0)
//
//javadoc: NMSBoxes(bboxes, scores, score_threshold, nms_threshold, indices, eta, top_k)
public static void NMSBoxes(MatOfRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta, int top_k)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxes_0(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj, eta, top_k);
return;
}
//javadoc: NMSBoxes(bboxes, scores, score_threshold, nms_threshold, indices)
public static void NMSBoxes(MatOfRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices)
{
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
NMSBoxes_1(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj);
return;
}
//
// C++: void shrinkCaffeModel(String src, String dst, vector_String layersTypes = std::vector<String>())
//
//javadoc: shrinkCaffeModel(src, dst, layersTypes)
public static void shrinkCaffeModel(String src, String dst, List<String> layersTypes)
{
shrinkCaffeModel_0(src, dst, layersTypes);
return;
}
//javadoc: shrinkCaffeModel(src, dst)
public static void shrinkCaffeModel(String src, String dst)
{
shrinkCaffeModel_1(src, dst);
return;
}
// C++: Mat blobFromImage(Mat image, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
private static native long blobFromImage_0(long image_nativeObj, double scalefactor, double size_width, double size_height, double mean_val0, double mean_val1, double mean_val2, double mean_val3, boolean swapRB, boolean crop);
private static native long blobFromImage_1(long image_nativeObj);
// C++: Mat blobFromImages(vector_Mat images, double scalefactor = 1.0, Size size = Size(), Scalar mean = Scalar(), bool swapRB = true, bool crop = true)
private static native long blobFromImages_0(long images_mat_nativeObj, double scalefactor, double size_width, double size_height, double mean_val0, double mean_val1, double mean_val2, double mean_val3, boolean swapRB, boolean crop);
private static native long blobFromImages_1(long images_mat_nativeObj);
// C++: Mat readTorchBlob(String filename, bool isBinary = true)
private static native long readTorchBlob_0(String filename, boolean isBinary);
private static native long readTorchBlob_1(String filename);
// C++: Net readNetFromCaffe(String prototxt, String caffeModel = String())
private static native long readNetFromCaffe_0(String prototxt, String caffeModel);
private static native long readNetFromCaffe_1(String prototxt);
// C++: Net readNetFromDarknet(String cfgFile, String darknetModel = String())
private static native long readNetFromDarknet_0(String cfgFile, String darknetModel);
private static native long readNetFromDarknet_1(String cfgFile);
// C++: Net readNetFromTensorflow(String model, String config = String())
private static native long readNetFromTensorflow_0(String model, String config);
private static native long readNetFromTensorflow_1(String model);
// C++: Net readNetFromTorch(String model, bool isBinary = true)
private static native long readNetFromTorch_0(String model, boolean isBinary);
private static native long readNetFromTorch_1(String model);
// C++: void NMSBoxes(vector_Rect bboxes, vector_float scores, float score_threshold, float nms_threshold, vector_int& indices, float eta = 1.f, int top_k = 0)
private static native void NMSBoxes_0(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj, float eta, int top_k);
private static native void NMSBoxes_1(long bboxes_mat_nativeObj, long scores_mat_nativeObj, float score_threshold, float nms_threshold, long indices_mat_nativeObj);
// C++: void 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);
}

@ -1,176 +0,0 @@
//
// 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); }
//
// C++: vector_Mat finalize(vector_Mat inputs)
//
//javadoc: Layer::finalize(inputs)
public List<Mat> finalize(List<Mat> inputs)
{
Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(finalize_0(nativeObj, inputs_mat.nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void finalize(vector_Mat inputs, vector_Mat& outputs)
//
//javadoc: Layer::finalize(inputs, outputs)
public void finalize(List<Mat> inputs, List<Mat> outputs)
{
Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
Mat outputs_mat = new Mat();
finalize_1(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj);
Converters.Mat_to_vector_Mat(outputs_mat, outputs);
outputs_mat.release();
return;
}
//
// C++: void run(vector_Mat inputs, vector_Mat& outputs, vector_Mat& internals)
//
//javadoc: Layer::run(inputs, outputs, internals)
public void run(List<Mat> inputs, List<Mat> outputs, List<Mat> internals)
{
Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
Mat outputs_mat = new Mat();
Mat internals_mat = Converters.vector_Mat_to_Mat(internals);
run_0(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj, internals_mat.nativeObj);
Converters.Mat_to_vector_Mat(outputs_mat, outputs);
outputs_mat.release();
Converters.Mat_to_vector_Mat(internals_mat, internals);
internals_mat.release();
return;
}
//
// C++: vector_Mat Layer::blobs
//
//javadoc: Layer::get_blobs()
public List<Mat> get_blobs()
{
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(get_blobs_0(nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void Layer::blobs
//
//javadoc: Layer::set_blobs(blobs)
public void set_blobs(List<Mat> blobs)
{
Mat blobs_mat = Converters.vector_Mat_to_Mat(blobs);
set_blobs_0(nativeObj, blobs_mat.nativeObj);
return;
}
//
// C++: String Layer::name
//
//javadoc: Layer::get_name()
public String get_name()
{
String retVal = get_name_0(nativeObj);
return retVal;
}
//
// C++: String Layer::type
//
//javadoc: Layer::get_type()
public String get_type()
{
String retVal = get_type_0(nativeObj);
return retVal;
}
//
// C++: int Layer::preferableTarget
//
//javadoc: Layer::get_preferableTarget()
public int get_preferableTarget()
{
int retVal = get_preferableTarget_0(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: vector_Mat finalize(vector_Mat inputs)
private static native long finalize_0(long nativeObj, long inputs_mat_nativeObj);
// C++: void finalize(vector_Mat inputs, vector_Mat& outputs)
private static native void finalize_1(long nativeObj, long inputs_mat_nativeObj, long outputs_mat_nativeObj);
// C++: void run(vector_Mat inputs, vector_Mat& outputs, vector_Mat& internals)
private static native void run_0(long nativeObj, long inputs_mat_nativeObj, long outputs_mat_nativeObj, long internals_mat_nativeObj);
// C++: vector_Mat Layer::blobs
private static native long get_blobs_0(long nativeObj);
// C++: void Layer::blobs
private static native void set_blobs_0(long nativeObj, long blobs_mat_nativeObj);
// C++: String Layer::name
private static native String get_name_0(long nativeObj);
// C++: String Layer::type
private static native String get_type_0(long nativeObj);
// C++: int Layer::preferableTarget
private static native int get_preferableTarget_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,601 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.dnn;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
import org.opencv.core.MatOfInt;
import org.opencv.dnn.DictValue;
import org.opencv.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; }
//
// C++: Net()
//
//javadoc: Net::Net()
public Net()
{
nativeObj = Net_0();
return;
}
//
// C++: Mat forward(String outputName = String())
//
//javadoc: Net::forward(outputName)
public Mat forward(String outputName)
{
Mat retVal = new Mat(forward_0(nativeObj, outputName));
return retVal;
}
//javadoc: Net::forward()
public Mat forward()
{
Mat retVal = new Mat(forward_1(nativeObj));
return retVal;
}
//
// C++: Mat getParam(LayerId layer, int numParam = 0)
//
//javadoc: Net::getParam(layer, numParam)
public Mat getParam(DictValue layer, int numParam)
{
Mat retVal = new Mat(getParam_0(nativeObj, layer.getNativeObjAddr(), numParam));
return retVal;
}
//javadoc: Net::getParam(layer)
public Mat getParam(DictValue layer)
{
Mat retVal = new Mat(getParam_1(nativeObj, layer.getNativeObjAddr()));
return retVal;
}
//
// C++: Ptr_Layer getLayer(LayerId layerId)
//
//javadoc: Net::getLayer(layerId)
public Layer getLayer(DictValue layerId)
{
Layer retVal = new Layer(getLayer_0(nativeObj, layerId.getNativeObjAddr()));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: Net::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: int getLayerId(String layer)
//
//javadoc: Net::getLayerId(layer)
public int getLayerId(String layer)
{
int retVal = getLayerId_0(nativeObj, layer);
return retVal;
}
//
// C++: int getLayersCount(String layerType)
//
//javadoc: Net::getLayersCount(layerType)
public int getLayersCount(String layerType)
{
int retVal = getLayersCount_0(nativeObj, layerType);
return retVal;
}
//
// C++: int64 getFLOPS(MatShape netInputShape)
//
//javadoc: Net::getFLOPS(netInputShape)
public long getFLOPS(MatOfInt netInputShape)
{
Mat netInputShape_mat = netInputShape;
long retVal = getFLOPS_0(nativeObj, netInputShape_mat.nativeObj);
return retVal;
}
//
// C++: int64 getFLOPS(int layerId, MatShape netInputShape)
//
//javadoc: Net::getFLOPS(layerId, netInputShape)
public long getFLOPS(int layerId, MatOfInt netInputShape)
{
Mat netInputShape_mat = netInputShape;
long retVal = getFLOPS_1(nativeObj, layerId, netInputShape_mat.nativeObj);
return retVal;
}
//
// C++: int64 getFLOPS(int layerId, vector_MatShape netInputShapes)
//
//javadoc: Net::getFLOPS(layerId, netInputShapes)
public long getFLOPS(int layerId, List<MatOfInt> netInputShapes)
{
long retVal = getFLOPS_2(nativeObj, layerId, netInputShapes);
return retVal;
}
//
// C++: int64 getFLOPS(vector_MatShape netInputShapes)
//
//javadoc: Net::getFLOPS(netInputShapes)
public long getFLOPS(List<MatOfInt> netInputShapes)
{
long retVal = getFLOPS_3(nativeObj, netInputShapes);
return retVal;
}
//
// C++: int64 getPerfProfile(vector_double& timings)
//
//javadoc: Net::getPerfProfile(timings)
public long getPerfProfile(MatOfDouble timings)
{
Mat timings_mat = timings;
long retVal = getPerfProfile_0(nativeObj, timings_mat.nativeObj);
return retVal;
}
//
// C++: vector_String getLayerNames()
//
//javadoc: Net::getLayerNames()
public List<String> getLayerNames()
{
List<String> retVal = getLayerNames_0(nativeObj);
return retVal;
}
//
// C++: vector_int getUnconnectedOutLayers()
//
//javadoc: Net::getUnconnectedOutLayers()
public MatOfInt getUnconnectedOutLayers()
{
MatOfInt retVal = MatOfInt.fromNativeAddr(getUnconnectedOutLayers_0(nativeObj));
return retVal;
}
//
// C++: void connect(String outPin, String inpPin)
//
//javadoc: Net::connect(outPin, inpPin)
public void connect(String outPin, String inpPin)
{
connect_0(nativeObj, outPin, inpPin);
return;
}
//
// C++: void deleteLayer(LayerId layer)
//
//javadoc: Net::deleteLayer(layer)
public void deleteLayer(DictValue layer)
{
deleteLayer_0(nativeObj, layer.getNativeObjAddr());
return;
}
//
// C++: void enableFusion(bool fusion)
//
//javadoc: Net::enableFusion(fusion)
public void enableFusion(boolean fusion)
{
enableFusion_0(nativeObj, fusion);
return;
}
//
// C++: void forward(vector_Mat& outputBlobs, String outputName = String())
//
//javadoc: Net::forward(outputBlobs, outputName)
public void forward(List<Mat> outputBlobs, String outputName)
{
Mat outputBlobs_mat = new Mat();
forward_2(nativeObj, outputBlobs_mat.nativeObj, outputName);
Converters.Mat_to_vector_Mat(outputBlobs_mat, outputBlobs);
outputBlobs_mat.release();
return;
}
//javadoc: Net::forward(outputBlobs)
public void forward(List<Mat> outputBlobs)
{
Mat outputBlobs_mat = new Mat();
forward_3(nativeObj, outputBlobs_mat.nativeObj);
Converters.Mat_to_vector_Mat(outputBlobs_mat, outputBlobs);
outputBlobs_mat.release();
return;
}
//
// C++: void forward(vector_Mat& outputBlobs, vector_String outBlobNames)
//
//javadoc: Net::forward(outputBlobs, outBlobNames)
public void forward(List<Mat> outputBlobs, List<String> outBlobNames)
{
Mat outputBlobs_mat = new Mat();
forward_4(nativeObj, outputBlobs_mat.nativeObj, outBlobNames);
Converters.Mat_to_vector_Mat(outputBlobs_mat, outputBlobs);
outputBlobs_mat.release();
return;
}
//
// C++: void forward(vector_vector_Mat& outputBlobs, vector_String outBlobNames)
//
// Unknown type 'vector_vector_Mat' (O), skipping the function
//
// C++: void getLayerTypes(vector_String& layersTypes)
//
//javadoc: Net::getLayerTypes(layersTypes)
public void getLayerTypes(List<String> layersTypes)
{
getLayerTypes_0(nativeObj, layersTypes);
return;
}
//
// C++: void getLayersShapes(MatShape netInputShape, vector_int& layersIds, vector_vector_MatShape& inLayersShapes, vector_vector_MatShape& outLayersShapes)
//
// Unknown type 'vector_vector_MatShape' (O), skipping the function
//
// C++: void getLayersShapes(vector_MatShape netInputShapes, vector_int& layersIds, vector_vector_MatShape& inLayersShapes, vector_vector_MatShape& outLayersShapes)
//
// Unknown type 'vector_vector_MatShape' (O), skipping the function
//
// C++: void getMemoryConsumption(MatShape netInputShape, size_t& weights, size_t& blobs)
//
//javadoc: Net::getMemoryConsumption(netInputShape, weights, blobs)
public void getMemoryConsumption(MatOfInt netInputShape, long[] weights, long[] blobs)
{
Mat netInputShape_mat = netInputShape;
double[] weights_out = new double[1];
double[] blobs_out = new double[1];
getMemoryConsumption_0(nativeObj, netInputShape_mat.nativeObj, weights_out, blobs_out);
if(weights!=null) weights[0] = (long)weights_out[0];
if(blobs!=null) blobs[0] = (long)blobs_out[0];
return;
}
//
// C++: void getMemoryConsumption(int layerId, MatShape netInputShape, size_t& weights, size_t& blobs)
//
//javadoc: Net::getMemoryConsumption(layerId, netInputShape, weights, blobs)
public void getMemoryConsumption(int layerId, MatOfInt netInputShape, long[] weights, long[] blobs)
{
Mat netInputShape_mat = netInputShape;
double[] weights_out = new double[1];
double[] blobs_out = new double[1];
getMemoryConsumption_1(nativeObj, layerId, netInputShape_mat.nativeObj, weights_out, blobs_out);
if(weights!=null) weights[0] = (long)weights_out[0];
if(blobs!=null) blobs[0] = (long)blobs_out[0];
return;
}
//
// C++: void getMemoryConsumption(int layerId, vector_MatShape netInputShapes, size_t& weights, size_t& blobs)
//
//javadoc: Net::getMemoryConsumption(layerId, netInputShapes, weights, blobs)
public void getMemoryConsumption(int layerId, List<MatOfInt> netInputShapes, long[] weights, long[] blobs)
{
double[] weights_out = new double[1];
double[] blobs_out = new double[1];
getMemoryConsumption_2(nativeObj, layerId, netInputShapes, weights_out, blobs_out);
if(weights!=null) weights[0] = (long)weights_out[0];
if(blobs!=null) blobs[0] = (long)blobs_out[0];
return;
}
//
// C++: void setHalideScheduler(String scheduler)
//
//javadoc: Net::setHalideScheduler(scheduler)
public void setHalideScheduler(String scheduler)
{
setHalideScheduler_0(nativeObj, scheduler);
return;
}
//
// C++: void setInput(Mat blob, String name = "")
//
//javadoc: Net::setInput(blob, name)
public void setInput(Mat blob, String name)
{
setInput_0(nativeObj, blob.nativeObj, name);
return;
}
//javadoc: Net::setInput(blob)
public void setInput(Mat blob)
{
setInput_1(nativeObj, blob.nativeObj);
return;
}
//
// C++: void setInputsNames(vector_String inputBlobNames)
//
//javadoc: Net::setInputsNames(inputBlobNames)
public void setInputsNames(List<String> inputBlobNames)
{
setInputsNames_0(nativeObj, inputBlobNames);
return;
}
//
// C++: void setParam(LayerId layer, int numParam, Mat blob)
//
//javadoc: Net::setParam(layer, numParam, blob)
public void setParam(DictValue layer, int numParam, Mat blob)
{
setParam_0(nativeObj, layer.getNativeObjAddr(), numParam, blob.nativeObj);
return;
}
//
// C++: void setPreferableBackend(int backendId)
//
//javadoc: Net::setPreferableBackend(backendId)
public void setPreferableBackend(int backendId)
{
setPreferableBackend_0(nativeObj, backendId);
return;
}
//
// C++: void setPreferableTarget(int targetId)
//
//javadoc: Net::setPreferableTarget(targetId)
public void setPreferableTarget(int targetId)
{
setPreferableTarget_0(nativeObj, targetId);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Net()
private static native long Net_0();
// C++: Mat forward(String outputName = String())
private static native long forward_0(long nativeObj, String outputName);
private static native long forward_1(long nativeObj);
// C++: Mat getParam(LayerId layer, int numParam = 0)
private static native long getParam_0(long nativeObj, long layer_nativeObj, int numParam);
private static native long getParam_1(long nativeObj, long layer_nativeObj);
// C++: Ptr_Layer getLayer(LayerId layerId)
private static native long getLayer_0(long nativeObj, long layerId_nativeObj);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: int getLayerId(String layer)
private static native int getLayerId_0(long nativeObj, String layer);
// C++: int getLayersCount(String layerType)
private static native int getLayersCount_0(long nativeObj, String layerType);
// C++: int64 getFLOPS(MatShape netInputShape)
private static native long getFLOPS_0(long nativeObj, long netInputShape_mat_nativeObj);
// C++: int64 getFLOPS(int layerId, MatShape netInputShape)
private static native long getFLOPS_1(long nativeObj, int layerId, long netInputShape_mat_nativeObj);
// C++: int64 getFLOPS(int layerId, vector_MatShape netInputShapes)
private static native long getFLOPS_2(long nativeObj, int layerId, List<MatOfInt> netInputShapes);
// C++: int64 getFLOPS(vector_MatShape netInputShapes)
private static native long getFLOPS_3(long nativeObj, List<MatOfInt> netInputShapes);
// C++: int64 getPerfProfile(vector_double& timings)
private static native long getPerfProfile_0(long nativeObj, long timings_mat_nativeObj);
// C++: vector_String getLayerNames()
private static native List<String> getLayerNames_0(long nativeObj);
// C++: vector_int getUnconnectedOutLayers()
private static native long getUnconnectedOutLayers_0(long nativeObj);
// C++: void connect(String outPin, String inpPin)
private static native void connect_0(long nativeObj, String outPin, String inpPin);
// C++: void deleteLayer(LayerId layer)
private static native void deleteLayer_0(long nativeObj, long layer_nativeObj);
// C++: void enableFusion(bool fusion)
private static native void enableFusion_0(long nativeObj, boolean fusion);
// C++: void forward(vector_Mat& outputBlobs, String outputName = String())
private static native void forward_2(long nativeObj, long outputBlobs_mat_nativeObj, String outputName);
private static native void forward_3(long nativeObj, long outputBlobs_mat_nativeObj);
// C++: void forward(vector_Mat& outputBlobs, vector_String outBlobNames)
private static native void forward_4(long nativeObj, long outputBlobs_mat_nativeObj, List<String> outBlobNames);
// C++: void getLayerTypes(vector_String& layersTypes)
private static native void getLayerTypes_0(long nativeObj, List<String> layersTypes);
// C++: void getMemoryConsumption(MatShape netInputShape, size_t& weights, size_t& blobs)
private static native void getMemoryConsumption_0(long nativeObj, long netInputShape_mat_nativeObj, double[] weights_out, double[] blobs_out);
// C++: void getMemoryConsumption(int layerId, MatShape netInputShape, size_t& weights, size_t& blobs)
private static native void getMemoryConsumption_1(long nativeObj, int layerId, long netInputShape_mat_nativeObj, double[] weights_out, double[] blobs_out);
// C++: void getMemoryConsumption(int layerId, vector_MatShape netInputShapes, size_t& weights, size_t& blobs)
private static native void getMemoryConsumption_2(long nativeObj, int layerId, List<MatOfInt> netInputShapes, double[] weights_out, double[] blobs_out);
// C++: void setHalideScheduler(String scheduler)
private static native void setHalideScheduler_0(long nativeObj, String scheduler);
// C++: void setInput(Mat blob, String name = "")
private static native void setInput_0(long nativeObj, long blob_nativeObj, String name);
private static native void setInput_1(long nativeObj, long blob_nativeObj);
// C++: void setInputsNames(vector_String inputBlobNames)
private static native void setInputsNames_0(long nativeObj, List<String> inputBlobNames);
// C++: void setParam(LayerId layer, int numParam, Mat blob)
private static native void setParam_0(long nativeObj, long layer_nativeObj, int numParam, long blob_nativeObj);
// C++: void setPreferableBackend(int backendId)
private static native void setPreferableBackend_0(long nativeObj, int backendId);
// C++: void setPreferableTarget(int targetId)
private static native void setPreferableTarget_0(long nativeObj, int targetId);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,316 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
// C++: class AKAZE
//javadoc: AKAZE
public class AKAZE extends Feature2D {
protected AKAZE(long addr) { super(addr); }
public static final int
DESCRIPTOR_KAZE_UPRIGHT = 2,
DESCRIPTOR_KAZE = 3,
DESCRIPTOR_MLDB_UPRIGHT = 4,
DESCRIPTOR_MLDB = 5;
//
// C++: static Ptr_AKAZE create(int descriptor_type = AKAZE::DESCRIPTOR_MLDB, int descriptor_size = 0, int descriptor_channels = 3, float threshold = 0.001f, int nOctaves = 4, int nOctaveLayers = 4, int diffusivity = KAZE::DIFF_PM_G2)
//
//javadoc: AKAZE::create(descriptor_type, descriptor_size, descriptor_channels, threshold, nOctaves, nOctaveLayers, diffusivity)
public static AKAZE create(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers, int diffusivity)
{
AKAZE retVal = new AKAZE(create_0(descriptor_type, descriptor_size, descriptor_channels, threshold, nOctaves, nOctaveLayers, diffusivity));
return retVal;
}
//javadoc: AKAZE::create()
public static AKAZE create()
{
AKAZE retVal = new AKAZE(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: AKAZE::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: double getThreshold()
//
//javadoc: AKAZE::getThreshold()
public double getThreshold()
{
double retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getDescriptorChannels()
//
//javadoc: AKAZE::getDescriptorChannels()
public int getDescriptorChannels()
{
int retVal = getDescriptorChannels_0(nativeObj);
return retVal;
}
//
// C++: int getDescriptorSize()
//
//javadoc: AKAZE::getDescriptorSize()
public int getDescriptorSize()
{
int retVal = getDescriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int getDescriptorType()
//
//javadoc: AKAZE::getDescriptorType()
public int getDescriptorType()
{
int retVal = getDescriptorType_0(nativeObj);
return retVal;
}
//
// C++: int getDiffusivity()
//
//javadoc: AKAZE::getDiffusivity()
public int getDiffusivity()
{
int retVal = getDiffusivity_0(nativeObj);
return retVal;
}
//
// C++: int getNOctaveLayers()
//
//javadoc: AKAZE::getNOctaveLayers()
public int getNOctaveLayers()
{
int retVal = getNOctaveLayers_0(nativeObj);
return retVal;
}
//
// C++: int getNOctaves()
//
//javadoc: AKAZE::getNOctaves()
public int getNOctaves()
{
int retVal = getNOctaves_0(nativeObj);
return retVal;
}
//
// C++: void setDescriptorChannels(int dch)
//
//javadoc: AKAZE::setDescriptorChannels(dch)
public void setDescriptorChannels(int dch)
{
setDescriptorChannels_0(nativeObj, dch);
return;
}
//
// C++: void setDescriptorSize(int dsize)
//
//javadoc: AKAZE::setDescriptorSize(dsize)
public void setDescriptorSize(int dsize)
{
setDescriptorSize_0(nativeObj, dsize);
return;
}
//
// C++: void setDescriptorType(int dtype)
//
//javadoc: AKAZE::setDescriptorType(dtype)
public void setDescriptorType(int dtype)
{
setDescriptorType_0(nativeObj, dtype);
return;
}
//
// C++: void setDiffusivity(int diff)
//
//javadoc: AKAZE::setDiffusivity(diff)
public void setDiffusivity(int diff)
{
setDiffusivity_0(nativeObj, diff);
return;
}
//
// C++: void setNOctaveLayers(int octaveLayers)
//
//javadoc: AKAZE::setNOctaveLayers(octaveLayers)
public void setNOctaveLayers(int octaveLayers)
{
setNOctaveLayers_0(nativeObj, octaveLayers);
return;
}
//
// C++: void setNOctaves(int octaves)
//
//javadoc: AKAZE::setNOctaves(octaves)
public void setNOctaves(int octaves)
{
setNOctaves_0(nativeObj, octaves);
return;
}
//
// C++: void setThreshold(double threshold)
//
//javadoc: AKAZE::setThreshold(threshold)
public void setThreshold(double threshold)
{
setThreshold_0(nativeObj, threshold);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_AKAZE create(int descriptor_type = AKAZE::DESCRIPTOR_MLDB, int descriptor_size = 0, int descriptor_channels = 3, float threshold = 0.001f, int nOctaves = 4, int nOctaveLayers = 4, int diffusivity = KAZE::DIFF_PM_G2)
private static native long create_0(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers, int diffusivity);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: double getThreshold()
private static native double getThreshold_0(long nativeObj);
// C++: int getDescriptorChannels()
private static native int getDescriptorChannels_0(long nativeObj);
// C++: int getDescriptorSize()
private static native int getDescriptorSize_0(long nativeObj);
// C++: int getDescriptorType()
private static native int getDescriptorType_0(long nativeObj);
// C++: int getDiffusivity()
private static native int getDiffusivity_0(long nativeObj);
// C++: int getNOctaveLayers()
private static native int getNOctaveLayers_0(long nativeObj);
// C++: int getNOctaves()
private static native int getNOctaves_0(long nativeObj);
// C++: void setDescriptorChannels(int dch)
private static native void setDescriptorChannels_0(long nativeObj, int dch);
// C++: void setDescriptorSize(int dsize)
private static native void setDescriptorSize_0(long nativeObj, int dsize);
// C++: void setDescriptorType(int dtype)
private static native void setDescriptorType_0(long nativeObj, int dtype);
// C++: void setDiffusivity(int diff)
private static native void setDiffusivity_0(long nativeObj, int diff);
// C++: void setNOctaveLayers(int octaveLayers)
private static native void setNOctaveLayers_0(long nativeObj, int octaveLayers);
// C++: void setNOctaves(int octaves)
private static native void setNOctaves_0(long nativeObj, int octaves);
// C++: void setThreshold(double threshold)
private static native void setThreshold_0(long nativeObj, double threshold);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,182 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
// C++: class AgastFeatureDetector
//javadoc: AgastFeatureDetector
public class AgastFeatureDetector extends Feature2D {
protected AgastFeatureDetector(long addr) { super(addr); }
public static final int
AGAST_5_8 = 0,
AGAST_7_12d = 1,
AGAST_7_12s = 2,
OAST_9_16 = 3,
THRESHOLD = 10000,
NONMAX_SUPPRESSION = 10001;
//
// C++: static Ptr_AgastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = AgastFeatureDetector::OAST_9_16)
//
//javadoc: AgastFeatureDetector::create(threshold, nonmaxSuppression, type)
public static AgastFeatureDetector create(int threshold, boolean nonmaxSuppression, int type)
{
AgastFeatureDetector retVal = new AgastFeatureDetector(create_0(threshold, nonmaxSuppression, type));
return retVal;
}
//javadoc: AgastFeatureDetector::create()
public static AgastFeatureDetector create()
{
AgastFeatureDetector retVal = new AgastFeatureDetector(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: AgastFeatureDetector::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getNonmaxSuppression()
//
//javadoc: AgastFeatureDetector::getNonmaxSuppression()
public boolean getNonmaxSuppression()
{
boolean retVal = getNonmaxSuppression_0(nativeObj);
return retVal;
}
//
// C++: int getThreshold()
//
//javadoc: AgastFeatureDetector::getThreshold()
public int getThreshold()
{
int retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getType()
//
//javadoc: AgastFeatureDetector::getType()
public int getType()
{
int retVal = getType_0(nativeObj);
return retVal;
}
//
// C++: void setNonmaxSuppression(bool f)
//
//javadoc: AgastFeatureDetector::setNonmaxSuppression(f)
public void setNonmaxSuppression(boolean f)
{
setNonmaxSuppression_0(nativeObj, f);
return;
}
//
// C++: void setThreshold(int threshold)
//
//javadoc: AgastFeatureDetector::setThreshold(threshold)
public void setThreshold(int threshold)
{
setThreshold_0(nativeObj, threshold);
return;
}
//
// C++: void setType(int type)
//
//javadoc: AgastFeatureDetector::setType(type)
public void setType(int type)
{
setType_0(nativeObj, type);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_AgastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = AgastFeatureDetector::OAST_9_16)
private static native long create_0(int threshold, boolean nonmaxSuppression, int type);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getNonmaxSuppression()
private static native boolean getNonmaxSuppression_0(long nativeObj);
// C++: int getThreshold()
private static native int getThreshold_0(long nativeObj);
// C++: int getType()
private static native int getType_0(long nativeObj);
// C++: void setNonmaxSuppression(bool f)
private static native void setNonmaxSuppression_0(long nativeObj, boolean f);
// C++: void setThreshold(int threshold)
private static native void setThreshold_0(long nativeObj, int threshold);
// C++: void setType(int type)
private static native void setType_0(long nativeObj, int type);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,81 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
// C++: class BFMatcher
//javadoc: BFMatcher
public class BFMatcher extends DescriptorMatcher {
protected BFMatcher(long addr) { super(addr); }
//
// C++: BFMatcher(int normType = NORM_L2, bool crossCheck = false)
//
//javadoc: BFMatcher::BFMatcher(normType, crossCheck)
public BFMatcher(int normType, boolean crossCheck)
{
super( BFMatcher_0(normType, crossCheck) );
return;
}
//javadoc: BFMatcher::BFMatcher()
public BFMatcher()
{
super( BFMatcher_1() );
return;
}
//
// C++: static Ptr_BFMatcher create(int normType = NORM_L2, bool crossCheck = false)
//
//javadoc: BFMatcher::create(normType, crossCheck)
public static BFMatcher create(int normType, boolean crossCheck)
{
BFMatcher retVal = new BFMatcher(create_0(normType, crossCheck));
return retVal;
}
//javadoc: BFMatcher::create()
public static BFMatcher create()
{
BFMatcher retVal = new BFMatcher(create_1());
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: BFMatcher(int normType = NORM_L2, bool crossCheck = false)
private static native long BFMatcher_0(int normType, boolean crossCheck);
private static native long BFMatcher_1();
// C++: static Ptr_BFMatcher create(int normType = NORM_L2, bool crossCheck = false)
private static native long create_0(int normType, boolean crossCheck);
private static native long create_1();
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,125 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.utils.Converters;
// C++: class BOWImgDescriptorExtractor
//javadoc: BOWImgDescriptorExtractor
public class BOWImgDescriptorExtractor {
protected final long nativeObj;
protected BOWImgDescriptorExtractor(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
//
// C++: BOWImgDescriptorExtractor(Ptr_DescriptorExtractor dextractor, Ptr_DescriptorMatcher dmatcher)
//
// Unknown type 'Ptr_DescriptorExtractor' (I), skipping the function
//
// C++: Mat getVocabulary()
//
//javadoc: BOWImgDescriptorExtractor::getVocabulary()
public Mat getVocabulary()
{
Mat retVal = new Mat(getVocabulary_0(nativeObj));
return retVal;
}
//
// C++: int descriptorSize()
//
//javadoc: BOWImgDescriptorExtractor::descriptorSize()
public int descriptorSize()
{
int retVal = descriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int descriptorType()
//
//javadoc: BOWImgDescriptorExtractor::descriptorType()
public int descriptorType()
{
int retVal = descriptorType_0(nativeObj);
return retVal;
}
//
// C++: void compute2(Mat image, vector_KeyPoint keypoints, Mat& imgDescriptor)
//
//javadoc: BOWImgDescriptorExtractor::compute2(image, keypoints, imgDescriptor)
public void compute(Mat image, MatOfKeyPoint keypoints, Mat imgDescriptor)
{
Mat keypoints_mat = keypoints;
compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, imgDescriptor.nativeObj);
return;
}
//
// C++: void setVocabulary(Mat vocabulary)
//
//javadoc: BOWImgDescriptorExtractor::setVocabulary(vocabulary)
public void setVocabulary(Mat vocabulary)
{
setVocabulary_0(nativeObj, vocabulary.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat getVocabulary()
private static native long getVocabulary_0(long nativeObj);
// C++: int descriptorSize()
private static native int descriptorSize_0(long nativeObj);
// C++: int descriptorType()
private static native int descriptorType_0(long nativeObj);
// C++: void compute2(Mat image, vector_KeyPoint keypoints, Mat& imgDescriptor)
private static native void compute_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long imgDescriptor_nativeObj);
// C++: void setVocabulary(Mat vocabulary)
private static native void setVocabulary_0(long nativeObj, long vocabulary_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,89 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
// C++: class BOWKMeansTrainer
//javadoc: BOWKMeansTrainer
public class BOWKMeansTrainer extends BOWTrainer {
protected BOWKMeansTrainer(long addr) { super(addr); }
//
// C++: BOWKMeansTrainer(int clusterCount, TermCriteria termcrit = TermCriteria(), int attempts = 3, int flags = KMEANS_PP_CENTERS)
//
//javadoc: BOWKMeansTrainer::BOWKMeansTrainer(clusterCount, termcrit, attempts, flags)
public BOWKMeansTrainer(int clusterCount, TermCriteria termcrit, int attempts, int flags)
{
super( BOWKMeansTrainer_0(clusterCount, termcrit.type, termcrit.maxCount, termcrit.epsilon, attempts, flags) );
return;
}
//javadoc: BOWKMeansTrainer::BOWKMeansTrainer(clusterCount)
public BOWKMeansTrainer(int clusterCount)
{
super( BOWKMeansTrainer_1(clusterCount) );
return;
}
//
// C++: Mat cluster(Mat descriptors)
//
//javadoc: BOWKMeansTrainer::cluster(descriptors)
public Mat cluster(Mat descriptors)
{
Mat retVal = new Mat(cluster_0(nativeObj, descriptors.nativeObj));
return retVal;
}
//
// C++: Mat cluster()
//
//javadoc: BOWKMeansTrainer::cluster()
public Mat cluster()
{
Mat retVal = new Mat(cluster_1(nativeObj));
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: BOWKMeansTrainer(int clusterCount, TermCriteria termcrit = TermCriteria(), int attempts = 3, int flags = KMEANS_PP_CENTERS)
private static native long BOWKMeansTrainer_0(int clusterCount, int termcrit_type, int termcrit_maxCount, double termcrit_epsilon, int attempts, int flags);
private static native long BOWKMeansTrainer_1(int clusterCount);
// C++: Mat cluster(Mat descriptors)
private static native long cluster_0(long nativeObj, long descriptors_nativeObj);
// C++: Mat cluster()
private static native long cluster_1(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,134 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.utils.Converters;
// C++: class BOWTrainer
//javadoc: BOWTrainer
public class BOWTrainer {
protected final long nativeObj;
protected BOWTrainer(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
//
// C++: Mat cluster(Mat descriptors)
//
//javadoc: BOWTrainer::cluster(descriptors)
public Mat cluster(Mat descriptors)
{
Mat retVal = new Mat(cluster_0(nativeObj, descriptors.nativeObj));
return retVal;
}
//
// C++: Mat cluster()
//
//javadoc: BOWTrainer::cluster()
public Mat cluster()
{
Mat retVal = new Mat(cluster_1(nativeObj));
return retVal;
}
//
// C++: int descriptorsCount()
//
//javadoc: BOWTrainer::descriptorsCount()
public int descriptorsCount()
{
int retVal = descriptorsCount_0(nativeObj);
return retVal;
}
//
// C++: vector_Mat getDescriptors()
//
//javadoc: BOWTrainer::getDescriptors()
public List<Mat> getDescriptors()
{
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(getDescriptors_0(nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void add(Mat descriptors)
//
//javadoc: BOWTrainer::add(descriptors)
public void add(Mat descriptors)
{
add_0(nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void clear()
//
//javadoc: BOWTrainer::clear()
public void clear()
{
clear_0(nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Mat cluster(Mat descriptors)
private static native long cluster_0(long nativeObj, long descriptors_nativeObj);
// C++: Mat cluster()
private static native long cluster_1(long nativeObj);
// C++: int descriptorsCount()
private static native int descriptorsCount_0(long nativeObj);
// C++: vector_Mat getDescriptors()
private static native long getDescriptors_0(long nativeObj);
// C++: void add(Mat descriptors)
private static native void add_0(long nativeObj, long descriptors_nativeObj);
// C++: void clear()
private static native void clear_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,137 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.utils.Converters;
// C++: class BRISK
//javadoc: BRISK
public class BRISK extends Feature2D {
protected BRISK(long addr) { super(addr); }
//
// C++: static Ptr_BRISK create(int thresh, int octaves, vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
//
//javadoc: BRISK::create(thresh, octaves, radiusList, numberList, dMax, dMin, indexChange)
public static BRISK create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
Mat indexChange_mat = indexChange;
BRISK retVal = new BRISK(create_0(thresh, octaves, radiusList_mat.nativeObj, numberList_mat.nativeObj, dMax, dMin, indexChange_mat.nativeObj));
return retVal;
}
//javadoc: BRISK::create(thresh, octaves, radiusList, numberList)
public static BRISK create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
BRISK retVal = new BRISK(create_1(thresh, octaves, radiusList_mat.nativeObj, numberList_mat.nativeObj));
return retVal;
}
//
// C++: static Ptr_BRISK create(int thresh = 30, int octaves = 3, float patternScale = 1.0f)
//
//javadoc: BRISK::create(thresh, octaves, patternScale)
public static BRISK create(int thresh, int octaves, float patternScale)
{
BRISK retVal = new BRISK(create_2(thresh, octaves, patternScale));
return retVal;
}
//javadoc: BRISK::create()
public static BRISK create()
{
BRISK retVal = new BRISK(create_3());
return retVal;
}
//
// C++: static Ptr_BRISK create(vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
//
//javadoc: BRISK::create(radiusList, numberList, dMax, dMin, indexChange)
public static BRISK create(MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
Mat indexChange_mat = indexChange;
BRISK retVal = new BRISK(create_4(radiusList_mat.nativeObj, numberList_mat.nativeObj, dMax, dMin, indexChange_mat.nativeObj));
return retVal;
}
//javadoc: BRISK::create(radiusList, numberList)
public static BRISK create(MatOfFloat radiusList, MatOfInt numberList)
{
Mat radiusList_mat = radiusList;
Mat numberList_mat = numberList;
BRISK retVal = new BRISK(create_5(radiusList_mat.nativeObj, numberList_mat.nativeObj));
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: BRISK::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_BRISK create(int thresh, int octaves, vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
private static native long create_0(int thresh, int octaves, long radiusList_mat_nativeObj, long numberList_mat_nativeObj, float dMax, float dMin, long indexChange_mat_nativeObj);
private static native long create_1(int thresh, int octaves, long radiusList_mat_nativeObj, long numberList_mat_nativeObj);
// C++: static Ptr_BRISK create(int thresh = 30, int octaves = 3, float patternScale = 1.0f)
private static native long create_2(int thresh, int octaves, float patternScale);
private static native long create_3();
// C++: static Ptr_BRISK create(vector_float radiusList, vector_int numberList, float dMax = 5.85f, float dMin = 8.2f, vector_int indexChange = std::vector<int>())
private static native long create_4(long radiusList_mat_nativeObj, long numberList_mat_nativeObj, float dMax, float dMin, long indexChange_mat_nativeObj);
private static native long create_5(long radiusList_mat_nativeObj, long numberList_mat_nativeObj);
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,197 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.utils.Converters;
// C++: class javaDescriptorExtractor
//javadoc: javaDescriptorExtractor
@Deprecated
public class DescriptorExtractor {
protected final long nativeObj;
protected DescriptorExtractor(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
private static final int
OPPONENTEXTRACTOR = 1000;
public static final int
SIFT = 1,
SURF = 2,
ORB = 3,
BRIEF = 4,
BRISK = 5,
FREAK = 6,
AKAZE = 7,
OPPONENT_SIFT = OPPONENTEXTRACTOR + SIFT,
OPPONENT_SURF = OPPONENTEXTRACTOR + SURF,
OPPONENT_ORB = OPPONENTEXTRACTOR + ORB,
OPPONENT_BRIEF = OPPONENTEXTRACTOR + BRIEF,
OPPONENT_BRISK = OPPONENTEXTRACTOR + BRISK,
OPPONENT_FREAK = OPPONENTEXTRACTOR + FREAK,
OPPONENT_AKAZE = OPPONENTEXTRACTOR + AKAZE;
//
// C++: static Ptr_javaDescriptorExtractor create(int extractorType)
//
//javadoc: javaDescriptorExtractor::create(extractorType)
public static DescriptorExtractor create(int extractorType)
{
DescriptorExtractor retVal = new DescriptorExtractor(create_0(extractorType));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: javaDescriptorExtractor::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: int descriptorSize()
//
//javadoc: javaDescriptorExtractor::descriptorSize()
public int descriptorSize()
{
int retVal = descriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int descriptorType()
//
//javadoc: javaDescriptorExtractor::descriptorType()
public int descriptorType()
{
int retVal = descriptorType_0(nativeObj);
return retVal;
}
//
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat descriptors)
//
//javadoc: javaDescriptorExtractor::compute(image, keypoints, descriptors)
public void compute(Mat image, MatOfKeyPoint keypoints, Mat descriptors)
{
Mat keypoints_mat = keypoints;
compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
//
//javadoc: javaDescriptorExtractor::compute(images, keypoints, descriptors)
public void compute(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
List<Mat> keypoints_tmplm = new ArrayList<Mat>((keypoints != null) ? keypoints.size() : 0);
Mat keypoints_mat = Converters.vector_vector_KeyPoint_to_Mat(keypoints, keypoints_tmplm);
Mat descriptors_mat = new Mat();
compute_1(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, descriptors_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
Converters.Mat_to_vector_Mat(descriptors_mat, descriptors);
descriptors_mat.release();
return;
}
//
// C++: void read(String fileName)
//
//javadoc: javaDescriptorExtractor::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void write(String fileName)
//
//javadoc: javaDescriptorExtractor::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_javaDescriptorExtractor create(int extractorType)
private static native long create_0(int extractorType);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: int descriptorSize()
private static native int descriptorSize_0(long nativeObj);
// C++: int descriptorType()
private static native int descriptorType_0(long nativeObj);
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat descriptors)
private static native void compute_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
private static native void compute_1(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long descriptors_mat_nativeObj);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,426 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDMatch;
import org.opencv.utils.Converters;
// C++: class DescriptorMatcher
//javadoc: DescriptorMatcher
public class DescriptorMatcher extends Algorithm {
protected DescriptorMatcher(long addr) { super(addr); }
public static final int
FLANNBASED = 1,
BRUTEFORCE = 2,
BRUTEFORCE_L1 = 3,
BRUTEFORCE_HAMMING = 4,
BRUTEFORCE_HAMMINGLUT = 5,
BRUTEFORCE_SL2 = 6;
//
// C++: Ptr_DescriptorMatcher clone(bool emptyTrainData = false)
//
//javadoc: DescriptorMatcher::clone(emptyTrainData)
public DescriptorMatcher clone(boolean emptyTrainData)
{
DescriptorMatcher retVal = new DescriptorMatcher(clone_0(nativeObj, emptyTrainData));
return retVal;
}
//javadoc: DescriptorMatcher::clone()
public DescriptorMatcher clone()
{
DescriptorMatcher retVal = new DescriptorMatcher(clone_1(nativeObj));
return retVal;
}
//
// C++: static Ptr_DescriptorMatcher create(String descriptorMatcherType)
//
//javadoc: DescriptorMatcher::create(descriptorMatcherType)
public static DescriptorMatcher create(String descriptorMatcherType)
{
DescriptorMatcher retVal = new DescriptorMatcher(create_0(descriptorMatcherType));
return retVal;
}
//
// C++: static Ptr_DescriptorMatcher create(int matcherType)
//
//javadoc: DescriptorMatcher::create(matcherType)
public static DescriptorMatcher create(int matcherType)
{
DescriptorMatcher retVal = new DescriptorMatcher(create_1(matcherType));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: DescriptorMatcher::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: bool isMaskSupported()
//
//javadoc: DescriptorMatcher::isMaskSupported()
public boolean isMaskSupported()
{
boolean retVal = isMaskSupported_0(nativeObj);
return retVal;
}
//
// C++: vector_Mat getTrainDescriptors()
//
//javadoc: DescriptorMatcher::getTrainDescriptors()
public List<Mat> getTrainDescriptors()
{
List<Mat> retVal = new ArrayList<Mat>();
Mat retValMat = new Mat(getTrainDescriptors_0(nativeObj));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: void add(vector_Mat descriptors)
//
//javadoc: DescriptorMatcher::add(descriptors)
public void add(List<Mat> descriptors)
{
Mat descriptors_mat = Converters.vector_Mat_to_Mat(descriptors);
add_0(nativeObj, descriptors_mat.nativeObj);
return;
}
//
// C++: void clear()
//
//javadoc: DescriptorMatcher::clear()
public void clear()
{
clear_0(nativeObj);
return;
}
//
// C++: void knnMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, int k, Mat mask = Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, trainDescriptors, matches, k, mask, compactResult)
public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k, Mat mask, boolean compactResult)
{
Mat matches_mat = new Mat();
knnMatch_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k, mask.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, trainDescriptors, matches, k)
public void knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k)
{
Mat matches_mat = new Mat();
knnMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, k);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector_Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, matches, k, masks, compactResult)
public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k, List<Mat> masks, boolean compactResult)
{
Mat matches_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
knnMatch_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k, masks_mat.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::knnMatch(queryDescriptors, matches, k)
public void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k)
{
Mat matches_mat = new Mat();
knnMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void match(Mat queryDescriptors, Mat trainDescriptors, vector_DMatch& matches, Mat mask = Mat())
//
//javadoc: DescriptorMatcher::match(queryDescriptors, trainDescriptors, matches, mask)
public void match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches, Mat mask)
{
Mat matches_mat = matches;
match_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, mask.nativeObj);
return;
}
//javadoc: DescriptorMatcher::match(queryDescriptors, trainDescriptors, matches)
public void match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches)
{
Mat matches_mat = matches;
match_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj);
return;
}
//
// C++: void match(Mat queryDescriptors, vector_DMatch& matches, vector_Mat masks = vector_Mat())
//
//javadoc: DescriptorMatcher::match(queryDescriptors, matches, masks)
public void match(Mat queryDescriptors, MatOfDMatch matches, List<Mat> masks)
{
Mat matches_mat = matches;
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
match_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, masks_mat.nativeObj);
return;
}
//javadoc: DescriptorMatcher::match(queryDescriptors, matches)
public void match(Mat queryDescriptors, MatOfDMatch matches)
{
Mat matches_mat = matches;
match_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj);
return;
}
//
// C++: void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, float maxDistance, Mat mask = Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, trainDescriptors, matches, maxDistance, mask, compactResult)
public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance, Mat mask, boolean compactResult)
{
Mat matches_mat = new Mat();
radiusMatch_0(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, mask.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, trainDescriptors, matches, maxDistance)
public void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance)
{
Mat matches_mat = new Mat();
radiusMatch_1(nativeObj, queryDescriptors.nativeObj, trainDescriptors.nativeObj, matches_mat.nativeObj, maxDistance);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector_Mat(), bool compactResult = false)
//
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, matches, maxDistance, masks, compactResult)
public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance, List<Mat> masks, boolean compactResult)
{
Mat matches_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
radiusMatch_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, masks_mat.nativeObj, compactResult);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//javadoc: DescriptorMatcher::radiusMatch(queryDescriptors, matches, maxDistance)
public void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance)
{
Mat matches_mat = new Mat();
radiusMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance);
Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
matches_mat.release();
return;
}
//
// C++: void read(FileNode arg1)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void read(String fileName)
//
//javadoc: DescriptorMatcher::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void train()
//
//javadoc: DescriptorMatcher::train()
public void train()
{
train_0(nativeObj);
return;
}
//
// C++: void write(Ptr_FileStorage fs, String name = String())
//
// Unknown type 'Ptr_FileStorage' (I), skipping the function
//
// C++: void write(String fileName)
//
//javadoc: DescriptorMatcher::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: Ptr_DescriptorMatcher clone(bool emptyTrainData = false)
private static native long clone_0(long nativeObj, boolean emptyTrainData);
private static native long clone_1(long nativeObj);
// C++: static Ptr_DescriptorMatcher create(String descriptorMatcherType)
private static native long create_0(String descriptorMatcherType);
// C++: static Ptr_DescriptorMatcher create(int matcherType)
private static native long create_1(int matcherType);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: bool isMaskSupported()
private static native boolean isMaskSupported_0(long nativeObj);
// C++: vector_Mat getTrainDescriptors()
private static native long getTrainDescriptors_0(long nativeObj);
// C++: void add(vector_Mat descriptors)
private static native void add_0(long nativeObj, long descriptors_mat_nativeObj);
// C++: void clear()
private static native void clear_0(long nativeObj);
// C++: void knnMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, int k, Mat mask = Mat(), bool compactResult = false)
private static native void knnMatch_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, int k, long mask_nativeObj, boolean compactResult);
private static native void knnMatch_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, int k);
// C++: void knnMatch(Mat queryDescriptors, vector_vector_DMatch& matches, int k, vector_Mat masks = vector_Mat(), bool compactResult = false)
private static native void knnMatch_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k, long masks_mat_nativeObj, boolean compactResult);
private static native void knnMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, int k);
// C++: void match(Mat queryDescriptors, Mat trainDescriptors, vector_DMatch& matches, Mat mask = Mat())
private static native void match_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, long mask_nativeObj);
private static native void match_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj);
// C++: void match(Mat queryDescriptors, vector_DMatch& matches, vector_Mat masks = vector_Mat())
private static native void match_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, long masks_mat_nativeObj);
private static native void match_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj);
// C++: void radiusMatch(Mat queryDescriptors, Mat trainDescriptors, vector_vector_DMatch& matches, float maxDistance, Mat mask = Mat(), bool compactResult = false)
private static native void radiusMatch_0(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long mask_nativeObj, boolean compactResult);
private static native void radiusMatch_1(long nativeObj, long queryDescriptors_nativeObj, long trainDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance);
// C++: void radiusMatch(Mat queryDescriptors, vector_vector_DMatch& matches, float maxDistance, vector_Mat masks = vector_Mat(), bool compactResult = false)
private static native void radiusMatch_2(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance, long masks_mat_nativeObj, boolean compactResult);
private static native void radiusMatch_3(long nativeObj, long queryDescriptors_nativeObj, long matches_mat_nativeObj, float maxDistance);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void train()
private static native void train_0(long nativeObj);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,182 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
// C++: class FastFeatureDetector
//javadoc: FastFeatureDetector
public class FastFeatureDetector extends Feature2D {
protected FastFeatureDetector(long addr) { super(addr); }
public static final int
TYPE_5_8 = 0,
TYPE_7_12 = 1,
TYPE_9_16 = 2,
THRESHOLD = 10000,
NONMAX_SUPPRESSION = 10001,
FAST_N = 10002;
//
// C++: static Ptr_FastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = FastFeatureDetector::TYPE_9_16)
//
//javadoc: FastFeatureDetector::create(threshold, nonmaxSuppression, type)
public static FastFeatureDetector create(int threshold, boolean nonmaxSuppression, int type)
{
FastFeatureDetector retVal = new FastFeatureDetector(create_0(threshold, nonmaxSuppression, type));
return retVal;
}
//javadoc: FastFeatureDetector::create()
public static FastFeatureDetector create()
{
FastFeatureDetector retVal = new FastFeatureDetector(create_1());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: FastFeatureDetector::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getNonmaxSuppression()
//
//javadoc: FastFeatureDetector::getNonmaxSuppression()
public boolean getNonmaxSuppression()
{
boolean retVal = getNonmaxSuppression_0(nativeObj);
return retVal;
}
//
// C++: int getThreshold()
//
//javadoc: FastFeatureDetector::getThreshold()
public int getThreshold()
{
int retVal = getThreshold_0(nativeObj);
return retVal;
}
//
// C++: int getType()
//
//javadoc: FastFeatureDetector::getType()
public int getType()
{
int retVal = getType_0(nativeObj);
return retVal;
}
//
// C++: void setNonmaxSuppression(bool f)
//
//javadoc: FastFeatureDetector::setNonmaxSuppression(f)
public void setNonmaxSuppression(boolean f)
{
setNonmaxSuppression_0(nativeObj, f);
return;
}
//
// C++: void setThreshold(int threshold)
//
//javadoc: FastFeatureDetector::setThreshold(threshold)
public void setThreshold(int threshold)
{
setThreshold_0(nativeObj, threshold);
return;
}
//
// C++: void setType(int type)
//
//javadoc: FastFeatureDetector::setType(type)
public void setType(int type)
{
setType_0(nativeObj, type);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_FastFeatureDetector create(int threshold = 10, bool nonmaxSuppression = true, int type = FastFeatureDetector::TYPE_9_16)
private static native long create_0(int threshold, boolean nonmaxSuppression, int type);
private static native long create_1();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getNonmaxSuppression()
private static native boolean getNonmaxSuppression_0(long nativeObj);
// C++: int getThreshold()
private static native int getThreshold_0(long nativeObj);
// C++: int getType()
private static native int getType_0(long nativeObj);
// C++: void setNonmaxSuppression(bool f)
private static native void setNonmaxSuppression_0(long nativeObj, boolean f);
// C++: void setThreshold(int threshold)
private static native void setThreshold_0(long nativeObj, int threshold);
// C++: void setType(int type)
private static native void setType_0(long nativeObj, int type);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,292 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.utils.Converters;
// C++: class Feature2D
//javadoc: Feature2D
public class Feature2D extends Algorithm {
protected Feature2D(long addr) { super(addr); }
//
// C++: String getDefaultName()
//
//javadoc: Feature2D::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool empty()
//
//javadoc: Feature2D::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: int defaultNorm()
//
//javadoc: Feature2D::defaultNorm()
public int defaultNorm()
{
int retVal = defaultNorm_0(nativeObj);
return retVal;
}
//
// C++: int descriptorSize()
//
//javadoc: Feature2D::descriptorSize()
public int descriptorSize()
{
int retVal = descriptorSize_0(nativeObj);
return retVal;
}
//
// C++: int descriptorType()
//
//javadoc: Feature2D::descriptorType()
public int descriptorType()
{
int retVal = descriptorType_0(nativeObj);
return retVal;
}
//
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat& descriptors)
//
//javadoc: Feature2D::compute(image, keypoints, descriptors)
public void compute(Mat image, MatOfKeyPoint keypoints, Mat descriptors)
{
Mat keypoints_mat = keypoints;
compute_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
//
//javadoc: Feature2D::compute(images, keypoints, descriptors)
public void compute(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
List<Mat> keypoints_tmplm = new ArrayList<Mat>((keypoints != null) ? keypoints.size() : 0);
Mat keypoints_mat = Converters.vector_vector_KeyPoint_to_Mat(keypoints, keypoints_tmplm);
Mat descriptors_mat = new Mat();
compute_1(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, descriptors_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
Converters.Mat_to_vector_Mat(descriptors_mat, descriptors);
descriptors_mat.release();
return;
}
//
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
//
//javadoc: Feature2D::detect(image, keypoints, mask)
public void detect(Mat image, MatOfKeyPoint keypoints, Mat mask)
{
Mat keypoints_mat = keypoints;
detect_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, mask.nativeObj);
return;
}
//javadoc: Feature2D::detect(image, keypoints)
public void detect(Mat image, MatOfKeyPoint keypoints)
{
Mat keypoints_mat = keypoints;
detect_1(nativeObj, image.nativeObj, keypoints_mat.nativeObj);
return;
}
//
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = vector_Mat())
//
//javadoc: Feature2D::detect(images, keypoints, masks)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
detect_2(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//javadoc: Feature2D::detect(images, keypoints)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
detect_3(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//
// C++: void detectAndCompute(Mat image, Mat mask, vector_KeyPoint& keypoints, Mat& descriptors, bool useProvidedKeypoints = false)
//
//javadoc: Feature2D::detectAndCompute(image, mask, keypoints, descriptors, useProvidedKeypoints)
public void detectAndCompute(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, boolean useProvidedKeypoints)
{
Mat keypoints_mat = keypoints;
detectAndCompute_0(nativeObj, image.nativeObj, mask.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj, useProvidedKeypoints);
return;
}
//javadoc: Feature2D::detectAndCompute(image, mask, keypoints, descriptors)
public void detectAndCompute(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors)
{
Mat keypoints_mat = keypoints;
detectAndCompute_1(nativeObj, image.nativeObj, mask.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj);
return;
}
//
// C++: void read(FileNode arg1)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void read(String fileName)
//
//javadoc: Feature2D::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void write(Ptr_FileStorage fs, String name = String())
//
// Unknown type 'Ptr_FileStorage' (I), skipping the function
//
// C++: void write(String fileName)
//
//javadoc: Feature2D::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: int defaultNorm()
private static native int defaultNorm_0(long nativeObj);
// C++: int descriptorSize()
private static native int descriptorSize_0(long nativeObj);
// C++: int descriptorType()
private static native int descriptorType_0(long nativeObj);
// C++: void compute(Mat image, vector_KeyPoint& keypoints, Mat& descriptors)
private static native void compute_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: void compute(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat& descriptors)
private static native void compute_1(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long descriptors_mat_nativeObj);
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
private static native void detect_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long mask_nativeObj);
private static native void detect_1(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj);
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = vector_Mat())
private static native void detect_2(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long masks_mat_nativeObj);
private static native void detect_3(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj);
// C++: void detectAndCompute(Mat image, Mat mask, vector_KeyPoint& keypoints, Mat& descriptors, bool useProvidedKeypoints = false)
private static native void detectAndCompute_0(long nativeObj, long image_nativeObj, long mask_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj, boolean useProvidedKeypoints);
private static native void detectAndCompute_1(long nativeObj, long image_nativeObj, long mask_nativeObj, long keypoints_mat_nativeObj, long descriptors_nativeObj);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,219 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.utils.Converters;
// C++: class javaFeatureDetector
//javadoc: javaFeatureDetector
@Deprecated
public class FeatureDetector {
protected final long nativeObj;
protected FeatureDetector(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
private static final int
GRIDDETECTOR = 1000,
PYRAMIDDETECTOR = 2000,
DYNAMICDETECTOR = 3000;
public static final int
FAST = 1,
STAR = 2,
SIFT = 3,
SURF = 4,
ORB = 5,
MSER = 6,
GFTT = 7,
HARRIS = 8,
SIMPLEBLOB = 9,
DENSE = 10,
BRISK = 11,
AKAZE = 12,
GRID_FAST = GRIDDETECTOR + FAST,
GRID_STAR = GRIDDETECTOR + STAR,
GRID_SIFT = GRIDDETECTOR + SIFT,
GRID_SURF = GRIDDETECTOR + SURF,
GRID_ORB = GRIDDETECTOR + ORB,
GRID_MSER = GRIDDETECTOR + MSER,
GRID_GFTT = GRIDDETECTOR + GFTT,
GRID_HARRIS = GRIDDETECTOR + HARRIS,
GRID_SIMPLEBLOB = GRIDDETECTOR + SIMPLEBLOB,
GRID_DENSE = GRIDDETECTOR + DENSE,
GRID_BRISK = GRIDDETECTOR + BRISK,
GRID_AKAZE = GRIDDETECTOR + AKAZE,
PYRAMID_FAST = PYRAMIDDETECTOR + FAST,
PYRAMID_STAR = PYRAMIDDETECTOR + STAR,
PYRAMID_SIFT = PYRAMIDDETECTOR + SIFT,
PYRAMID_SURF = PYRAMIDDETECTOR + SURF,
PYRAMID_ORB = PYRAMIDDETECTOR + ORB,
PYRAMID_MSER = PYRAMIDDETECTOR + MSER,
PYRAMID_GFTT = PYRAMIDDETECTOR + GFTT,
PYRAMID_HARRIS = PYRAMIDDETECTOR + HARRIS,
PYRAMID_SIMPLEBLOB = PYRAMIDDETECTOR + SIMPLEBLOB,
PYRAMID_DENSE = PYRAMIDDETECTOR + DENSE,
PYRAMID_BRISK = PYRAMIDDETECTOR + BRISK,
PYRAMID_AKAZE = PYRAMIDDETECTOR + AKAZE,
DYNAMIC_FAST = DYNAMICDETECTOR + FAST,
DYNAMIC_STAR = DYNAMICDETECTOR + STAR,
DYNAMIC_SIFT = DYNAMICDETECTOR + SIFT,
DYNAMIC_SURF = DYNAMICDETECTOR + SURF,
DYNAMIC_ORB = DYNAMICDETECTOR + ORB,
DYNAMIC_MSER = DYNAMICDETECTOR + MSER,
DYNAMIC_GFTT = DYNAMICDETECTOR + GFTT,
DYNAMIC_HARRIS = DYNAMICDETECTOR + HARRIS,
DYNAMIC_SIMPLEBLOB = DYNAMICDETECTOR + SIMPLEBLOB,
DYNAMIC_DENSE = DYNAMICDETECTOR + DENSE,
DYNAMIC_BRISK = DYNAMICDETECTOR + BRISK,
DYNAMIC_AKAZE = DYNAMICDETECTOR + AKAZE;
//
// C++: static Ptr_javaFeatureDetector create(int detectorType)
//
//javadoc: javaFeatureDetector::create(detectorType)
@Deprecated
public static FeatureDetector create(int detectorType)
{
FeatureDetector retVal = new FeatureDetector(create_0(detectorType));
return retVal;
}
//
// C++: bool empty()
//
//javadoc: javaFeatureDetector::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
//
//javadoc: javaFeatureDetector::detect(image, keypoints, mask)
public void detect(Mat image, MatOfKeyPoint keypoints, Mat mask)
{
Mat keypoints_mat = keypoints;
detect_0(nativeObj, image.nativeObj, keypoints_mat.nativeObj, mask.nativeObj);
return;
}
//javadoc: javaFeatureDetector::detect(image, keypoints)
public void detect(Mat image, MatOfKeyPoint keypoints)
{
Mat keypoints_mat = keypoints;
detect_1(nativeObj, image.nativeObj, keypoints_mat.nativeObj);
return;
}
//
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = std::vector<Mat>())
//
//javadoc: javaFeatureDetector::detect(images, keypoints, masks)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
detect_2(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//javadoc: javaFeatureDetector::detect(images, keypoints)
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints)
{
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
detect_3(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
keypoints_mat.release();
return;
}
//
// C++: void read(String fileName)
//
//javadoc: javaFeatureDetector::read(fileName)
public void read(String fileName)
{
read_0(nativeObj, fileName);
return;
}
//
// C++: void write(String fileName)
//
//javadoc: javaFeatureDetector::write(fileName)
public void write(String fileName)
{
write_0(nativeObj, fileName);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_javaFeatureDetector create(int detectorType)
private static native long create_0(int detectorType);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: void detect(Mat image, vector_KeyPoint& keypoints, Mat mask = Mat())
private static native void detect_0(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj, long mask_nativeObj);
private static native void detect_1(long nativeObj, long image_nativeObj, long keypoints_mat_nativeObj);
// C++: void detect(vector_Mat images, vector_vector_KeyPoint& keypoints, vector_Mat masks = std::vector<Mat>())
private static native void detect_2(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj, long masks_mat_nativeObj);
private static native void detect_3(long nativeObj, long images_mat_nativeObj, long keypoints_mat_nativeObj);
// C++: void read(String fileName)
private static native void read_0(long nativeObj, String fileName);
// C++: void write(String fileName)
private static native void write_0(long nativeObj, String fileName);
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,158 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.core.MatOfDMatch;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Scalar;
import org.opencv.utils.Converters;
// C++: class Features2d
//javadoc: Features2d
public class Features2d {
public static final int
DRAW_OVER_OUTIMG = 1,
NOT_DRAW_SINGLE_POINTS = 2,
DRAW_RICH_KEYPOINTS = 4;
//
// C++: void drawKeypoints(Mat image, vector_KeyPoint keypoints, Mat& outImage, Scalar color = Scalar::all(-1), int flags = DrawMatchesFlags::DEFAULT)
//
//javadoc: drawKeypoints(image, keypoints, outImage, color, flags)
public static void drawKeypoints(Mat image, MatOfKeyPoint keypoints, Mat outImage, Scalar color, int flags)
{
Mat keypoints_mat = keypoints;
drawKeypoints_0(image.nativeObj, keypoints_mat.nativeObj, outImage.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3], flags);
return;
}
//javadoc: drawKeypoints(image, keypoints, outImage)
public static void drawKeypoints(Mat image, MatOfKeyPoint keypoints, Mat outImage)
{
Mat keypoints_mat = keypoints;
drawKeypoints_1(image.nativeObj, keypoints_mat.nativeObj, outImage.nativeObj);
return;
}
//
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_char matchesMask = std::vector<char>(), int flags = DrawMatchesFlags::DEFAULT)
//
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg, matchColor, singlePointColor, matchesMask, flags)
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
Mat matches1to2_mat = matches1to2;
Mat matchesMask_mat = matchesMask;
drawMatches_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
return;
}
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg)
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
Mat matches1to2_mat = matches1to2;
drawMatches_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
return;
}
//
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = 0)
//
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg, matchColor, singlePointColor, matchesMask, flags)
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
drawMatches2_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
return;
}
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg)
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
drawMatches2_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
return;
}
//
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = DrawMatchesFlags::DEFAULT)
//
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg, matchColor, singlePointColor, matchesMask, flags)
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
drawMatchesKnn_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
return;
}
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg)
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg)
{
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
drawMatchesKnn_1(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj);
return;
}
// C++: void drawKeypoints(Mat image, vector_KeyPoint keypoints, Mat& outImage, Scalar color = Scalar::all(-1), int flags = DrawMatchesFlags::DEFAULT)
private static native void drawKeypoints_0(long image_nativeObj, long keypoints_mat_nativeObj, long outImage_nativeObj, double color_val0, double color_val1, double color_val2, double color_val3, int flags);
private static native void drawKeypoints_1(long image_nativeObj, long keypoints_mat_nativeObj, long outImage_nativeObj);
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_char matchesMask = std::vector<char>(), int flags = DrawMatchesFlags::DEFAULT)
private static native void drawMatches_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
private static native void drawMatches_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = 0)
private static native void drawMatches2_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
private static native void drawMatches2_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_vector_DMatch matches1to2, Mat& outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_vector_char matchesMask = std::vector<std::vector<char> >(), int flags = DrawMatchesFlags::DEFAULT)
private static native void drawMatchesKnn_0(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj, double matchColor_val0, double matchColor_val1, double matchColor_val2, double matchColor_val3, double singlePointColor_val0, double singlePointColor_val1, double singlePointColor_val2, double singlePointColor_val3, long matchesMask_mat_nativeObj, int flags);
private static native void drawMatchesKnn_1(long img1_nativeObj, long keypoints1_mat_nativeObj, long img2_nativeObj, long keypoints2_mat_nativeObj, long matches1to2_mat_nativeObj, long outImg_nativeObj);
}

@ -1,61 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
// C++: class FlannBasedMatcher
//javadoc: FlannBasedMatcher
public class FlannBasedMatcher extends DescriptorMatcher {
protected FlannBasedMatcher(long addr) { super(addr); }
//
// C++: FlannBasedMatcher(Ptr_flann_IndexParams indexParams = makePtr<flann::KDTreeIndexParams>(), Ptr_flann_SearchParams searchParams = makePtr<flann::SearchParams>())
//
//javadoc: FlannBasedMatcher::FlannBasedMatcher()
public FlannBasedMatcher()
{
super( FlannBasedMatcher_0() );
return;
}
//
// C++: static Ptr_FlannBasedMatcher create()
//
//javadoc: FlannBasedMatcher::create()
public static FlannBasedMatcher create()
{
FlannBasedMatcher retVal = new FlannBasedMatcher(create_0());
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: FlannBasedMatcher(Ptr_flann_IndexParams indexParams = makePtr<flann::KDTreeIndexParams>(), Ptr_flann_SearchParams searchParams = makePtr<flann::SearchParams>())
private static native long FlannBasedMatcher_0();
// C++: static Ptr_FlannBasedMatcher create()
private static native long create_0();
// native support for java finalize()
private static native void delete(long nativeObj);
}

@ -1,302 +0,0 @@
//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.features2d;
import java.lang.String;
// C++: class GFTTDetector
//javadoc: GFTTDetector
public class GFTTDetector extends Feature2D {
protected GFTTDetector(long addr) { super(addr); }
//
// C++: static Ptr_GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector = false, double k = 0.04)
//
//javadoc: GFTTDetector::create(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize, useHarrisDetector, k)
public static GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, boolean useHarrisDetector, double k)
{
GFTTDetector retVal = new GFTTDetector(create_0(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize, useHarrisDetector, k));
return retVal;
}
//javadoc: GFTTDetector::create(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize)
public static GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize)
{
GFTTDetector retVal = new GFTTDetector(create_1(maxCorners, qualityLevel, minDistance, blockSize, gradiantSize));
return retVal;
}
//
// C++: static Ptr_GFTTDetector create(int maxCorners = 1000, double qualityLevel = 0.01, double minDistance = 1, int blockSize = 3, bool useHarrisDetector = false, double k = 0.04)
//
//javadoc: GFTTDetector::create(maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k)
public static GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, boolean useHarrisDetector, double k)
{
GFTTDetector retVal = new GFTTDetector(create_2(maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k));
return retVal;
}
//javadoc: GFTTDetector::create()
public static GFTTDetector create()
{
GFTTDetector retVal = new GFTTDetector(create_3());
return retVal;
}
//
// C++: String getDefaultName()
//
//javadoc: GFTTDetector::getDefaultName()
public String getDefaultName()
{
String retVal = getDefaultName_0(nativeObj);
return retVal;
}
//
// C++: bool getHarrisDetector()
//
//javadoc: GFTTDetector::getHarrisDetector()
public boolean getHarrisDetector()
{
boolean retVal = getHarrisDetector_0(nativeObj);
return retVal;
}
//
// C++: double getK()
//
//javadoc: GFTTDetector::getK()
public double getK()
{
double retVal = getK_0(nativeObj);
return retVal;
}
//
// C++: double getMinDistance()
//
//javadoc: GFTTDetector::getMinDistance()
public double getMinDistance()
{
double retVal = getMinDistance_0(nativeObj);
return retVal;
}
//
// C++: double getQualityLevel()
//
//javadoc: GFTTDetector::getQualityLevel()
public double getQualityLevel()
{
double retVal = getQualityLevel_0(nativeObj);
return retVal;
}
//
// C++: int getBlockSize()
//
//javadoc: GFTTDetector::getBlockSize()
public int getBlockSize()
{
int retVal = getBlockSize_0(nativeObj);
return retVal;
}
//
// C++: int getMaxFeatures()
//
//javadoc: GFTTDetector::getMaxFeatures()
public int getMaxFeatures()
{
int retVal = getMaxFeatures_0(nativeObj);
return retVal;
}
//
// C++: void setBlockSize(int blockSize)
//
//javadoc: GFTTDetector::setBlockSize(blockSize)
public void setBlockSize(int blockSize)
{
setBlockSize_0(nativeObj, blockSize);
return;
}
//
// C++: void setHarrisDetector(bool val)
//
//javadoc: GFTTDetector::setHarrisDetector(val)
public void setHarrisDetector(boolean val)
{
setHarrisDetector_0(nativeObj, val);
return;
}
//
// C++: void setK(double k)
//
//javadoc: GFTTDetector::setK(k)
public void setK(double k)
{
setK_0(nativeObj, k);
return;
}
//
// C++: void setMaxFeatures(int maxFeatures)
//
//javadoc: GFTTDetector::setMaxFeatures(maxFeatures)
public void setMaxFeatures(int maxFeatures)
{
setMaxFeatures_0(nativeObj, maxFeatures);
return;
}
//
// C++: void setMinDistance(double minDistance)
//
//javadoc: GFTTDetector::setMinDistance(minDistance)
public void setMinDistance(double minDistance)
{
setMinDistance_0(nativeObj, minDistance);
return;
}
//
// C++: void setQualityLevel(double qlevel)
//
//javadoc: GFTTDetector::setQualityLevel(qlevel)
public void setQualityLevel(double qlevel)
{
setQualityLevel_0(nativeObj, qlevel);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: static Ptr_GFTTDetector create(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector = false, double k = 0.04)
private static native long create_0(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, boolean useHarrisDetector, double k);
private static native long create_1(int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize);
// C++: static Ptr_GFTTDetector create(int maxCorners = 1000, double qualityLevel = 0.01, double minDistance = 1, int blockSize = 3, bool useHarrisDetector = false, double k = 0.04)
private static native long create_2(int maxCorners, double qualityLevel, double minDistance, int blockSize, boolean useHarrisDetector, double k);
private static native long create_3();
// C++: String getDefaultName()
private static native String getDefaultName_0(long nativeObj);
// C++: bool getHarrisDetector()
private static native boolean getHarrisDetector_0(long nativeObj);
// C++: double getK()
private static native double getK_0(long nativeObj);
// C++: double getMinDistance()
private static native double getMinDistance_0(long nativeObj);
// C++: double getQualityLevel()
private static native double getQualityLevel_0(long nativeObj);
// C++: int getBlockSize()
private static native int getBlockSize_0(long nativeObj);
// C++: int getMaxFeatures()
private static native int getMaxFeatures_0(long nativeObj);
// C++: void setBlockSize(int blockSize)
private static native void setBlockSize_0(long nativeObj, int blockSize);
// C++: void setHarrisDetector(bool val)
private static native void setHarrisDetector_0(long nativeObj, boolean val);
// C++: void setK(double k)
private static native void setK_0(long nativeObj, double k);
// C++: void setMaxFeatures(int maxFeatures)
private static native void setMaxFeatures_0(long nativeObj, int maxFeatures);
// C++: void setMinDistance(double minDistance)
private static native void setMinDistance_0(long nativeObj, double minDistance);
// C++: void setQualityLevel(double qlevel)
private static native void setQualityLevel_0(long nativeObj, double qlevel);
// native support for java finalize()
private static native void delete(long nativeObj);
}

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