Haar- Cascade face detection OpenCv
Question: I used the following code to detect a face using Haar cascade classifiers
provided by OpenCv Python. But the faces are not detected and the square
around the face is not drawn. How to solve this?

    
    
    import cv2
    
    index=raw_input("Enter the index No. : ")
    
    cascPath = "haarcascade_frontalface_default.xml"
    faceCascade = cv2.CascadeClassifier(cascPath)
    
    cap = cv2.VideoCapture(0)
    
    cont=0
    
    while(True):
       # Capture frame-by-frame
       ret, frame = cap.read()
    
       # Our operations on the frame come here
       gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
       faces = faceCascade.detectMultiScale(
      gray,
      scaleFactor=1.1,
      minNeighbors=10,
      minSize=(30, 30),
      flags = cv2.cv.CV_HAAR_SCALE_IMAGE
      )
    
    for (x, y, w, h) in faces:
        #cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
    
    
       # Display the resulting frame
      cv2.imshow('frame',frame)
      inpt=cv2.waitKey(1)
    
      if inpt & 0xFF == ord('q'):
        break
    
      elif inpt & 0xFF == ord('s') :
    
        #name='G:\XCODRA\Integrated_v_01\EigenFaceRecognizer\img2'+index+"."+(str(cont))+".png"
        name='IC_image\\'+index+"."+(str(cont))+".png"
        resized = cv2.resize(gray,None,fx=200, fy=200, interpolation = cv2.INTER_AREA)
        img=cv2.equalizeHist(resized)
    
        cv2.imwrite(name,img)
        print cont
        cont+=1
    


Answer: Use the full path for the classifier.

