參考OpenCV自帶的例子，30行python代碼實現人臉檢測，不得不說，Python這個語言的優勢太明顯了，幾乎把所有復雜的細節都屏蔽了，雖然效率較差，不過在調用opencv的模塊時，因為模塊都是C語言編寫，所以在效率上并不會比用C或者C++編寫慢太多。本例子使用自帶的級聯分類器。
#!/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()新聞熱點
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