在 android 中使用 openCV 进行实时人脸检测
Real time face detection using openCV in android
我正在尝试使用 android 中的摄像头检测人脸。
我正在使用 openCV3.1 lib 进行人脸检测。我找到了一篇关于这个主题的文章 HERE,我尝试实现相同的但我不知道为什么我的代码不起作用,虽然它没有显示任何错误。下面是我的代码。
public class OpenCVActivity extends Activity
implements CvCameraViewListener {
private CameraBridgeViewBase openCvCameraView;
private CascadeClassifier cascadeClassifier;
private Mat grayscaleImage;
private int absoluteFaceSize;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:
initializeOpenCVDependencies();
break;
default:
super.onManagerConnected(status);
break;
}
}
};
private void initializeOpenCVDependencies() {
try {
// Copy the resource into a temp file so OpenCV can load it
InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);
File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);
File mCascadeFile = new File(cascadeDir, "lbpcascade_frontalface.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);
}
// And we are ready to go
openCvCameraView.enableView();
}
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
openCvCameraView = new JavaCameraView(this, -1);
setContentView(openCvCameraView);
openCvCameraView.setCvCameraViewListener(this);
}
@Override
public void onCameraViewStarted(int width, int height) {
grayscaleImage = new Mat(height, width, CvType.CV_8UC4);
// The faces will be a 20% of the height of the screen
absoluteFaceSize = (int) (height * 0.2);
}
@Override
public void onCameraViewStopped() {
}
@Override
public Mat onCameraFrame(Mat aInputFrame) {
// Create a grayscale image
Imgproc.cvtColor(aInputFrame, grayscaleImage, Imgproc.COLOR_RGBA2RGB);
MatOfRect faces = new MatOfRect();
// Use the classifier to detect faces
if (cascadeClassifier != null) {
cascadeClassifier.detectMultiScale(grayscaleImage, faces, 1.1, 2, 2,
new Size(absoluteFaceSize, absoluteFaceSize), new Size());
}
// If there are any faces found, draw a rectangle around it
Rect[] facesArray = faces.toArray();
for (int i = 0; i <facesArray.length; i++) {
Log.i("face : ","Detected");
Imgproc.rectangle(aInputFrame, facesArray[i].tl(), facesArray[i].br(), new Scalar(0, 255, 0, 255), 3);
}
return aInputFrame;
}
@Override
public void onResume() {
super.onResume();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_6, this, mLoaderCallback);
}
有人能告诉我哪里错了吗?
或者,是否有关于使用 openCV 进行人脸检测的任何其他教程?
如有任何帮助,我们将不胜感激!
正如您之前提到的,您正在使用 3.1.1 的 OpenCVLibrary。 但是,您在下面提到的版本适用于 2.4.6
例如:
@Override
public void onResume() {
super.onResume();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_6, this, mLoaderCallback);
}
改为使用,
public void onResume() {
super.onResume();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION, this, mLoaderCallback);
}
我正在尝试使用 android 中的摄像头检测人脸。 我正在使用 openCV3.1 lib 进行人脸检测。我找到了一篇关于这个主题的文章 HERE,我尝试实现相同的但我不知道为什么我的代码不起作用,虽然它没有显示任何错误。下面是我的代码。
public class OpenCVActivity extends Activity
implements CvCameraViewListener {
private CameraBridgeViewBase openCvCameraView;
private CascadeClassifier cascadeClassifier;
private Mat grayscaleImage;
private int absoluteFaceSize;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:
initializeOpenCVDependencies();
break;
default:
super.onManagerConnected(status);
break;
}
}
};
private void initializeOpenCVDependencies() {
try {
// Copy the resource into a temp file so OpenCV can load it
InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);
File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);
File mCascadeFile = new File(cascadeDir, "lbpcascade_frontalface.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);
}
// And we are ready to go
openCvCameraView.enableView();
}
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
openCvCameraView = new JavaCameraView(this, -1);
setContentView(openCvCameraView);
openCvCameraView.setCvCameraViewListener(this);
}
@Override
public void onCameraViewStarted(int width, int height) {
grayscaleImage = new Mat(height, width, CvType.CV_8UC4);
// The faces will be a 20% of the height of the screen
absoluteFaceSize = (int) (height * 0.2);
}
@Override
public void onCameraViewStopped() {
}
@Override
public Mat onCameraFrame(Mat aInputFrame) {
// Create a grayscale image
Imgproc.cvtColor(aInputFrame, grayscaleImage, Imgproc.COLOR_RGBA2RGB);
MatOfRect faces = new MatOfRect();
// Use the classifier to detect faces
if (cascadeClassifier != null) {
cascadeClassifier.detectMultiScale(grayscaleImage, faces, 1.1, 2, 2,
new Size(absoluteFaceSize, absoluteFaceSize), new Size());
}
// If there are any faces found, draw a rectangle around it
Rect[] facesArray = faces.toArray();
for (int i = 0; i <facesArray.length; i++) {
Log.i("face : ","Detected");
Imgproc.rectangle(aInputFrame, facesArray[i].tl(), facesArray[i].br(), new Scalar(0, 255, 0, 255), 3);
}
return aInputFrame;
}
@Override
public void onResume() {
super.onResume();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_6, this, mLoaderCallback);
}
有人能告诉我哪里错了吗? 或者,是否有关于使用 openCV 进行人脸检测的任何其他教程?
如有任何帮助,我们将不胜感激!
正如您之前提到的,您正在使用 3.1.1 的 OpenCVLibrary。 但是,您在下面提到的版本适用于 2.4.6
例如:
@Override
public void onResume() {
super.onResume();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_6, this, mLoaderCallback);
}
改为使用,
public void onResume() {
super.onResume();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION, this, mLoaderCallback);
}