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Searched refs:face_cascade (Results 1 – 8 of 8) sorted by relevance

/external/opencv3/samples/winrt_universal/VideoCaptureXAML/video_capture_xaml/video_capture_xaml.Shared/
Dmain.cpp52 CascadeClassifier face_cascade; variable
61 face_cascade.load(face_cascade_name); in cvMain()
134face_cascade.detectMultiScale(faces, facesColl, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(1, 1)); in cvDetectFaces()
/external/opencv3/samples/cpp/tutorial_code/objectDetection/
DobjectDetection2.cpp23 CascadeClassifier face_cascade; variable
35 …if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return… in main()
72 face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) ); in detectAndDisplay()
DobjectDetection.cpp18 CascadeClassifier face_cascade; variable
29 …if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return… in main()
63 face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) ); in detectAndDisplay()
/external/opencv3/samples/winrt/FaceDetection/FaceDetection/
DMainPage.xaml.cpp50 if (!face_cascade.load(face_cascade_name)) {
66face_cascade.detectMultiScale(frame_gray, facesColl, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(1, …
DMainPage.xaml.h30 cv::CascadeClassifier face_cascade; variable
/external/opencv3/samples/cpp/
Dfacial_features.cpp128 CascadeClassifier face_cascade; in detectFaces() local
129 face_cascade.load(cascade_path); in detectFaces()
131 face_cascade.detectMultiScale(img, faces, 1.15, 3, 0|CASCADE_SCALE_IMAGE, Size(30, 30)); in detectFaces()
/external/opencv3/doc/tutorials/objdetect/cascade_classifier/
Dcascade_classifier.markdown41 CascadeClassifier face_cascade;
52 …if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return…
86 face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) );
/external/opencv3/doc/py_tutorials/py_objdetect/py_face_detection/
Dpy_face_detection.markdown100 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
110 faces = face_cascade.detectMultiScale(gray, 1.3, 5)