openCV人脸识别移植到Android

• 1、引入openCV人脸检测模块
• 2、修改jni目录下的文件
• • 修改Android.mk
  • 修改Application.mk
  • 修改DetectionBasedTracker_jni.h和DetectionBasedTracker_jni.cpp
• 3、进行ndk-build生成动态库
• 4、修改build.gradle
• 5、主要文件
• • DetectionBasedTracker
  • FaceDetectActivity
  • activity_facedetect.xml布局文件
  • AndroidMainfest.xml
  • lbpcascade_frontalface.xml人脸检测模式文件

1、引入openCV人脸检测模块

将 C:\Users\Administrator\Desktop\zuozi\opencv-3.3.0-android-sdk\OpenCV-android-sdk\samples\face-detection\jni文件夹 复制到src/main/下。

2、修改jni目录下的文件

修改Android.mk

将Android.mk里面的内容修改为：

LOCAL_PATH := $(call my-dir)include $(CLEAR_VARS)# 安装apk时加载OpenCV动态库
OPENCV_INSTALL_MODULES:=on
OPENCV_LIB_TYPE:=SHARED# 指定OpenCV SDk 中 OpenCV.mk 文件的路径
include C:\Users\Administrator\Desktop\zuozi\opencv-3.3.0-android-sdk\OpenCV-android-sdk\sdk\native\jni\OpenCV.mkLOCAL_SRC_FILES  := DetectionBasedTracker_jni.cpp
LOCAL_C_INCLUDES += $(LOCAL_PATH)
LOCAL_LDLIBS     += -llog -ldlLOCAL_MODULE     := detection_based_trackerinclude $(BUILD_SHARED_LIBRARY)

修改Application.mk

将Application.mk里面的内容修改为：

APP_STL := gnustl_static
APP_CPPFLAGS := -frtti -fexceptions
APP_ABI := armeabi-v7a armeabi arm64-v8a
APP_PLATFORM := android-16

高版本的ndk不支持gnustl_static，要换成r16版本的，要注意修改path变量，并且在Project Structure中指定ndk路径。

修改DetectionBasedTracker_jni.h和DetectionBasedTracker_jni.cpp

将这两个文件中的"Java_org_opencv_samples_facedetect_“替换为"Java_com_example_test01_natives_”，根据自己的包名进行替换，其中com_example_test01_natives目录是对应java层的方法。
修改后的DetectionBasedTracker_jni.h如下：

/* DO NOT EDIT THIS FILE - it is machine generated */
#include 
/* Header for class org_opencv_samples_fd_DetectionBasedTracker */#ifndef _Included_org_opencv_samples_fd_DetectionBasedTracker
#define _Included_org_opencv_samples_fd_DetectionBasedTracker
#ifdef __cplusplus
extern "C" {
#endif
/** Class:     org_opencv_samples_fd_DetectionBasedTracker* Method:    nativeCreateObject* Signature: (Ljava/lang/String;F)J*/
JNIEXPORT jlong JNICALL Java_com_example_test01_natives_DetectionBasedTracker_nativeCreateObject(JNIEnv *, jclass, jstring, jint);/** Class:     org_opencv_samples_fd_DetectionBasedTracker* Method:    nativeDestroyObject* Signature: (J)V*/
JNIEXPORT void JNICALL Java_com_example_test01_natives_DetectionBasedTracker_nativeDestroyObject(JNIEnv *, jclass, jlong);/** Class:     org_opencv_samples_fd_DetectionBasedTracker* Method:    nativeStart* Signature: (J)V*/
JNIEXPORT void JNICALL Java_com_example_test01_natives_DetectionBasedTracker_nativeStart(JNIEnv *, jclass, jlong);/** Class:     org_opencv_samples_fd_DetectionBasedTracker* Method:    nativeStop* Signature: (J)V*/
JNIEXPORT void JNICALL Java_com_example_test01_natives_DetectionBasedTracker_nativeStop(JNIEnv *, jclass, jlong);/** Class:     org_opencv_samples_fd_DetectionBasedTracker* Method:    nativeSetFaceSize* Signature: (JI)V*/JNIEXPORT void JNICALL Java_com_example_test01_natives_DetectionBasedTracker_nativeSetFaceSize(JNIEnv *, jclass, jlong, jint);/** Class:     org_opencv_samples_fd_DetectionBasedTracker* Method:    nativeDetect* Signature: (JJJ)V*/
JNIEXPORT void JNICALL Java_com_example_test01_natives_DetectionBasedTracker_nativeDetect(JNIEnv *, jclass, jlong, jlong, jlong);#ifdef __cplusplus
}
#endif
#endif

3、进行ndk-build生成动态库

打开Android Stdio的terminal窗口，使用cd命令进入src/main/jni目录，然后执行ndk-build命令。

然后会在libs目录下生成so库：

4、修改build.gradle

将sourceSets修改为：

sourceSets {main {jni.srcDirs = []                 //禁止自动调用ndk-build命令jniLibs.srcDir 'src/main/libs'  // 设置目标的so存放路径}}

其中，jni.srcDirs = []的作用是禁用gradle默认的ndk-build，防止AS自己生成android.mk编译jni工程，jniLibs.srcDir 'src/main/libs’的作用设置目标的so存放路径，以将自己生成的so组装到apk中。

5、主要文件

DetectionBasedTracker

这个是调用openCV人脸识别方法的java层方法

package com.example.test01.natives;import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;public class DetectionBasedTracker {private long mNativeObj = 0;// 构造方法：初始化人脸检测引擎public DetectionBasedTracker(String cascadeName, int minFaceSize) {mNativeObj = nativeCreateObject(cascadeName, minFaceSize);}// 开始人脸检测public void start() {nativeStart(mNativeObj);}// 停止人脸检测public void stop() {nativeStop(mNativeObj);}// 设置人脸最小尺寸public void setMinFaceSize(int size) {nativeSetFaceSize(mNativeObj, size);}// 检测public void detect(Mat imageGray, MatOfRect faces) {nativeDetect(mNativeObj, imageGray.getNativeObjAddr(), faces.getNativeObjAddr());}// 释放资源public void release() {nativeDestroyObject(mNativeObj);mNativeObj = 0;}// native方法private static native long nativeCreateObject(String cascadeName, int minFaceSize);private static native void nativeDestroyObject(long thiz);private static native void nativeStart(long thiz);private static native void nativeStop(long thiz);private static native void nativeSetFaceSize(long thiz, int size);private static native void nativeDetect(long thiz, long inputImage, long faces);
}

FaceDetectActivity

package com.example.test01;import android.content.Context;
import android.support.annotation.Nullable;
import android.support.v7.app.AppCompatActivity;
import android.os.Bundle;
import android.util.Log;
import android.view.WindowManager;import com.example.test01.natives.DetectionBasedTracker;import org.opencv.android.BaseLoaderCallback;
import org.opencv.android.CameraBridgeViewBase;
import org.opencv.android.LoaderCallbackInterface;
import org.opencv.android.OpenCVLoader;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;import butterknife.BindView;
import butterknife.ButterKnife;/*** 人脸检测** Created by jiangdongguo on 2018/1/4.*/public class FaceDetectActivity extends AppCompatActivity implements CameraBridgeViewBase.CvCameraViewListener2 {private static final int JAVA_DETECTOR = 0;private static final int NATIVE_DETECTOR = 1;private static final String TAG = "FaceDetectActivity";@BindView(R.id.cameraView_face)CameraBridgeViewBase mCameraView;private Mat mGray;private Mat mRgba;private int mDetectorType = NATIVE_DETECTOR;private int mAbsoluteFaceSize = 0;private float mRelativeFaceSize = 0.2f;private DetectionBasedTracker mNativeDetector;private CascadeClassifier mJavaDetector;private static final Scalar FACE_RECT_COLOR = new Scalar(0, 255, 0, 255);private File mCascadeFile;private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {@Overridepublic void onManagerConnected(int status) {switch (status) {case LoaderCallbackInterface.SUCCESS:// OpenCV初始化加载成功，再加载本地so库System.loadLibrary("detection_based_tracker");try {// 加载人脸检测模式文件InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);mCascadeFile = new File(cascadeDir, "lbpcascade_frontalface.xml");FileOutputStream os = new FileOutputStream(mCascadeFile);byte[] buffer = new byte[4096];int byteesRead;while ((byteesRead = is.read(buffer)) != -1) {os.write(buffer, 0, byteesRead);}is.close();os.close();// 使用模型文件初始化人脸检测引擎mJavaDetector = new CascadeClassifier(mCascadeFile.getAbsolutePath());if (mJavaDetector.empty()) {Log.e(TAG, "加载cascade classifier失败");mJavaDetector = null;} else {Log.d(TAG, "Loaded cascade classifier from " + mCascadeFile.getAbsolutePath());}mNativeDetector = new DetectionBasedTracker(mCascadeFile.getAbsolutePath(), 0);cascadeDir.delete();} catch (FileNotFoundException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}// 开启渲染CameramCameraView.enableView();break;default:super.onManagerConnected(status);break;}}};@Overrideprotected void onCreate(@Nullable Bundle savedInstanceState) {super.onCreate(savedInstanceState);getWindow().addFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN);setContentView(R.layout.activity_facedetect);// 绑定ViewButterKnife.bind(this);mCameraView.setVisibility(CameraBridgeViewBase.VISIBLE);// 注册Camera渲染事件监听器mCameraView.setCvCameraViewListener(this);}@Overrideprotected void onResume() {super.onResume();// 静态初始化OpenCVif (!OpenCVLoader.initDebug()) {Log.d(TAG, "无法加载OpenCV本地库，将使用OpenCV Manager初始化");OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_3_0, this, mLoaderCallback);} else {Log.d(TAG, "成功加载OpenCV本地库");mLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS);}}@Overrideprotected void onPause() {super.onPause();// 停止渲染Cameraif (mCameraView != null) {mCameraView.disableView();}}@Overrideprotected void onDestroy() {super.onDestroy();// 停止渲染Cameraif (mCameraView != null) {mCameraView.disableView();}}@Overridepublic void onCameraViewStarted(int width, int height) {// 灰度图像mGray = new Mat();// R、G、B彩色图像mRgba = new Mat();}@Overridepublic void onCameraViewStopped() {mGray.release();mRgba.release();}@Overridepublic Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {mRgba = inputFrame.rgba();mGray = inputFrame.gray();// 设置脸部大小if (mAbsoluteFaceSize == 0) {int height = mGray.rows();if (Math.round(height * mRelativeFaceSize) > 0) {mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);}mNativeDetector.setMinFaceSize(mAbsoluteFaceSize);}// 获取检测到的脸部数据MatOfRect faces = new MatOfRect();if (mDetectorType == JAVA_DETECTOR) {if (mJavaDetector != null) {mJavaDetector.detectMultiScale(mGray, faces, 1.1, 2, 2,new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());}} else if (mDetectorType == NATIVE_DETECTOR) {if (mNativeDetector != null) {mNativeDetector.detect(mGray, faces);}} else {Log.e(TAG, "Detection method is not selected!");}// 绘制检测框Rect[] facesArray = faces.toArray();for (int i = 0; i < facesArray.length; i++) {Imgproc.rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(), FACE_RECT_COLOR, 3);}Log.i(TAG, "共检测到 " + faces.toArray().length + " 张脸");return mRgba;}
}

activity_facedetect.xml布局文件

AndroidMainfest.xml

lbpcascade_frontalface.xml人脸检测模式文件

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