我使用OpenCv与android studio一起检测图像中的面部以及每个面部的眼睛和嘴巴。但是,问题是每当我试图检测到嘴巴时,它会在一个错误的脸上返回多个圆圈。
以下是我为口腔检测添加的代码:
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);
}
...
}
答案 0 :(得分:0)
我一直在四处寻找,因为我发布了这个问题并尝试了很多东西。但最后我找到了解决方案: 我改变了:
mJavaDetectorMouth.detectMultiScale(faceROI, mouths,1.1,1,1, new org.opencv.core.Size(30, 30), new org.opencv.core.Size());
要:
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。