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/ |
D | main.cpp | 52 CascadeClassifier face_cascade; variable 61 face_cascade.load(face_cascade_name); in cvMain() 134 … face_cascade.detectMultiScale(faces, facesColl, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(1, 1)); in cvDetectFaces()
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/external/opencv3/samples/cpp/tutorial_code/objectDetection/ |
D | objectDetection2.cpp | 23 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()
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D | objectDetection.cpp | 18 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()
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/external/opencv3/samples/winrt/FaceDetection/FaceDetection/ |
D | MainPage.xaml.cpp | 50 if (!face_cascade.load(face_cascade_name)) { 66 …face_cascade.detectMultiScale(frame_gray, facesColl, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(1, …
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D | MainPage.xaml.h | 30 cv::CascadeClassifier face_cascade; variable
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/external/opencv3/samples/cpp/ |
D | facial_features.cpp | 128 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()
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/external/opencv3/doc/tutorials/objdetect/cascade_classifier/ |
D | cascade_classifier.markdown | 41 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) );
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/external/opencv3/doc/py_tutorials/py_objdetect/py_face_detection/ |
D | py_face_detection.markdown | 100 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') 110 faces = face_cascade.detectMultiScale(gray, 1.3, 5)
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