参考OpenCV自带的例子，30行python代码实现人脸检测，不得不说，Python这个语言的优势太明显了，几乎把所有复杂的细节都屏蔽了，虽然效率较差，不过在调用opencv的模块时，因为模块都是C语言编写，所以在效率上并不会比用C或者C++编写慢太多。本例子使用自带的级联分类器。
#!/usr/bin/env pythonimport cv2def faceDetect(img, face_cascade): gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 5) for (x,y,w,h) in faces: cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) return imgdef main(): cap = cv2.VideoCapture(1) face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') while(True): # Capture frame-by-frame ret, frame = cap.read() #frame = imread("2017-02-26-200818.jpg") # Our Operations on the frame come here if ret == True: frame = faceDetect(frame, face_cascade) # Display the resulting frame cv2.imshow('frame',frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # When everything done, release the capture cap.release() cv2.destroyAllWindows()main()新闻热点
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