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face: refactoring

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- change face detector interface
- avoid using of legacy C-API defines
- simplify CV_Error()
- avoid using of legacy license headers
This commit is contained in:
Alexander Alekhin
2017-10-30 14:49:44 +03:00
parent 7e9c53239e
commit e310fc5549
14 changed files with 275 additions and 558 deletions
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36
modules/face/tutorials/facemark_usage/facemark_usage.markdown
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@@ -69,31 +69,25 @@ struct Conf {
Conf(cv::String s, double d){
model_path = s;
scaleFactor = d;
face_detector.load(model_path);
};
CascadeClassifier face_detector;
};
bool myDetector( InputArray image, OutputArray roi, void * config ){
bool myDetector(InputArray image, OutputArray faces, Conf *conf){
Mat gray;
std::vector<Rect> & faces = *(std::vector<Rect>*) roi.getObj();
faces.clear();
if(config!=0){
Conf* conf = (Conf*)config;
if (image.channels() > 1)
cvtColor(image, gray, COLOR_BGR2GRAY);
else
gray = image.getMat().clone();
if(image.channels()>1){
cvtColor(image,gray,CV_BGR2GRAY);
}else{
gray = image.getMat().clone();
}
equalizeHist( gray, gray );
CascadeClassifier face_cascade(conf->model_path);
face_cascade.detectMultiScale( gray, faces, conf->scaleFactor, 2, CV_HAAR_SCALE_IMAGE, Size(30, 30) );
return true;
}else{
return false;
}
equalizeHist(gray, gray);
std::vector<Rect> faces_;
conf->face_cascade.detectMultiScale(gray, faces_, conf->scaleFactor, 2, CASCADE_SCALE_IMAGE, Size(30, 30) );
Mat(faces_).copyTo(faces);
return true;
}
@endcode
@@ -101,8 +95,8 @@ bool myDetector( InputArray image, OutputArray roi, void * config ){
The following snippet demonstrates how to set the custom detector to the facemark object and use it to detect the faces. Keep in mind that some facemark object might use the face detector during the training process.
@code
Conf* config = new Conf("../data/lbpcascade_frontalface.xml",1.4);
facemark->setFaceDetector(myDetector);
Conf config("../data/lbpcascade_frontalface.xml", 1.4);
facemark->setFaceDetector(myDetector, &config); // we must guarantee proper lifetime of "config" object
@endcode
Here is the snippet for detecting face using the user defined face detector function.