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[英]Java and haarcascade face and mouth detection - mouth as the nose
[英]Mouth detection using openCv returns a lot of circles in only one face
我在Android Studio中使用OpenCv来检测图像中的面孔以及每张面孔中的眼睛和嘴巴。 但是,问题是每当我尝试检测嘴巴时,它都会在错误的脸上返回多个圆圈。
这是我添加的用于嘴部检测的代码:
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
...
InputStream iserM = getResources().openRawResource(
R.raw.haarcascade_mcs_mouth);
File cascadeDirERM = getDir("cascadeERM",
Context.MODE_PRIVATE);
File cascadeFileERM = new File(cascadeDirERM,
"haarcascade_mcs_mouth.xml");
FileOutputStream oserM = new FileOutputStream(cascadeFileERM);
byte[] bufferERM = new byte[4096];
int bytesReadERM;
while ((bytesReadERM = iserM.read(bufferERM)) != -1) {
oserM.write(bufferERM, 0, bytesReadERM);
}
iserM.close();
oserM.close();
...
//here begins
mJavaDetectorMouth = new CascadeClassifier(
cascadeFileERM.getAbsolutePath());
if (mJavaDetectorMouth.empty()) {
Log.e(TAG, "Failed to load cascade classifier");
mJavaDetectorMouth = null;
} else
Log.i(TAG, "Loaded cascade classifier from "
+ mCascadeFile.getAbsolutePath());
//here ends
...
}
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
...
Rect r = facesArray[i];
MatOfRect mouths = new MatOfRect();
Mat faceROI = mRgba.submat(facesArray[i]);
mJavaDetectorMouth.detectMultiScale(faceROI, mouths,1.1,1,1, new org.opencv.core.Size(30, 30), new org.opencv.core.Size());
Rect[] mouthArray = mouths.toArray();
for (int j = 0; j < mouthArray.length; j++){
Point center1 = new Point(facesArray[i].x + mouthArray[j].x + mouthArray[j].width * 0.5,
facesArray[i].y + mouthArray[j].y + mouthArray[j].height * 0.5);
int radius = (int) Math.round(mouthArray[j].width / 2);
Imgproc.circle(mRgba, center1, radius, new Scalar(255, 0, 0), 4, 8, 0);
}
...
}
自从发布问题并尝试了很多方法以来,我一直在四处看看。 但最后我找到了解决方案:我更改了:
mJavaDetectorMouth.detectMultiScale(faceROI, mouths,1.1,1,1, new org.opencv.core.Size(30, 30), new org.opencv.core.Size());
至:
mJavaDetectorMouth.detectMultiScale(faceROI, mouths,1.1, 2,
Objdetect.CASCADE_FIND_BIGGEST_OBJECT
| Objdetect.CASCADE_SCALE_IMAGE, new org.opencv.core.Size(30, 30), new org.opencv.core.Size());
我解决了这个问题。
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