Android Studio使用opencv打开摄像头.java以及.xml

/****************************************************************************************** * 美颜相机活动 ******************************************************************************************/ package com.example.drimage; import android.app.Activity; import android.content.Context; import android.graphics.Bitmap; import android.graphics.BitmapFactory; import android.graphics.Matrix; import android.graphics.drawable.BitmapDrawable; import android.support.v7.app.AppCompatActivity; import android.os.Bundle; import android.util.Log; import android.view.Surface; import android.view.SurfaceView; import android.view.View; import android.view.ViewTreeObserver; import android.view.WindowManager; import android.widget.Button; import org.opencv.android.BaseLoaderCallback; import org.opencv.android.CameraBridgeViewBase; import org.opencv.android.JavaCameraView; import org.opencv.android.LoaderCallbackInterface; import org.opencv.android.Utils; import org.opencv.core.Core; import org.opencv.core.CvType; import org.opencv.core.Mat; import org.opencv.android.OpenCVLoader; import org.opencv.core.MatOfPoint2f; import org.opencv.core.MatOfRect; import org.opencv.core.Point; 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.FileOutputStream; import java.io.InputStream; import static com.example.drimage.R.id.image; import static org.opencv.core.Core.flip; import static org.opencv.core.Core.transform; import static org.opencv.core.Core.transpose; public class beautyCameraActivity extends AppCompatActivity { Mat cameraImage; private int camera_flag; private CameraBridgeViewBase openCvCameraView; //摄像头 private CascadeClassifier cascadeClassifier; //级联分类器 private static final String TAG = "OCVSample::Activity"; private int absoluteFaceSize; //人脸检测区域 private int camera_width; //获取摄像头控件视图宽度 private int camera_height; //获取摄像头控件视图高度 //将opencv实例化 private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) { @Override public void onManagerConnected(int status) { switch (status) { case LoaderCallbackInterface.SUCCESS: { Log.i(TAG, "OpenCV loaded successfully"); try{ InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface); File cascadeDir = getDir("cascade", Context.MODE_PRIVATE); // File mCascadeFile = new File(cascadeDir, "lbpcascade_frontalface.xml"); File mCascadeFile = new File(cascadeDir, "haarcascade_frontalface_alt.xml"); FileOutputStream os = new FileOutputStream(mCascadeFile); byte[] buffer = new byte[4096]; int bytesRead; while ((bytesRead = is.read(buffer)) != -1) { os.write(buffer, 0, bytesRead); } is.close(); os.close(); // Load the cascade classifier cascadeClassifier = new CascadeClassifier(mCascadeFile.getAbsolutePath()); } catch (Exception e) { Log.e("OpenCVActivity", "Error loading cascade", e); } openCvCameraView.enableView(); //打开摄像头 } break; default: { super.onManagerConnected(status); } break; } } }; //回调函数,作用是检查opencv管理器是否安装好，由于opencv管理器定义了所有的opencv函数，所以需要在设备上安装opencv管理器应用，假如不想使用 //opencv管理器，也可以在本地包含函数，只是apk的大小会增大很多。 protected void onResume(){ super.onResume(); if (!OpenCVLoader.initDebug()) { Log.d("OpenCV", "Internal OpenCV library not found. Using OpenCV Manager for initialization"); OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_11, this, mLoaderCallback); } else { Log.d("OpenCV", "OpenCV library found inside package. Using it!"); mLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS); } } @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.beauty_camera_layout); getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON); openCvCameraView = (CameraBridgeViewBase) findViewById(R.id.java_surface_view); openCvCameraView.setVisibility(SurfaceView.VISIBLE); /***************** * 获取摄像头视图控件大小 */ //建立控件监听器，获取控件大小 ViewTreeObserver vto = openCvCameraView.getViewTreeObserver(); vto.addOnGlobalLayoutListener(new ViewTreeObserver.OnGlobalLayoutListener() { @Override public void onGlobalLayout() { openCvCameraView.getViewTreeObserver().removeGlobalOnLayoutListener(this); camera_height = openCvCameraView.getHeight(); camera_width = openCvCameraView.getWidth(); } }); ///////////////////////////////////////////////////////////////////////// /******** * 摄像头图像 */ openCvCameraView.setCvCameraViewListener(new CameraBridgeViewBase.CvCameraViewListener(){ @Override public void onCameraViewStarted(int width, int height) { cameraImage = new Mat(height,width,CvType.CV_8UC4); absoluteFaceSize = (int) (height * 0.1); //定义人脸检测区域 } @Override public void onCameraViewStopped() { } /*************************** * 图像处理部分都写在这里 * @param inputFrame * @return */ @Override public Mat onCameraFrame(Mat inputFrame) { if(camera_flag != 0) //判断是否是前置摄像头，前置摄像头需要翻转 flip(inputFrame, inputFrame, 1); Imgproc.cvtColor(inputFrame,cameraImage,Imgproc.COLOR_BGRA2BGR); //四通道转三通道 Mat mGray = inputFrame; Imgproc.cvtColor(inputFrame,mGray,Imgproc.COLOR_BGRA2GRAY); MatOfRect faces = new MatOfRect(); //定义人脸区域 if (cascadeClassifier != null) { cascadeClassifier.detectMultiScale(mGray, faces, 1.1, 2, 2, new Size(absoluteFaceSize, absoluteFaceSize), new Size()); } Rect[] facesArray = faces.toArray(); for (int i = 0; i <facesArray.length; i++) Core.rectangle(cameraImage, facesArray[i].tl(), facesArray[i].br(), new Scalar(255, 255, 255), 3); //将人脸区域画出 // Imgproc.cvtColor(cameraImage,cameraImage,Imgproc.COLOR_RGBA2GRAY); // angleChange(cameraImage); //旋转图像90度 Point center = new Point(cameraImage.rows()/2, cameraImage.cols()/2); //创建中心点 double angle = -90; Mat rotMat; //旋转矩阵 rotMat = Imgproc.getRotationMatrix2D(