Recognition faces on a video using python
Question: i have this code

    
    
    import cv2
    import sys
    
    # Get user supplied values
    imagePath = sys.argv[1]
    cascPath = sys.argv[2]
    
    # Create the haar cascade
    faceCascade = cv2.CascadeClassifier(cascPath)
    
    # Read the image
    image = cv2.imread(imagePath)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # Detect faces in the image
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.1,
        minNeighbors=5,
        minSize=(30, 30),
        flags = cv2.cv.CV_HAAR_SCALE_IMAGE
    )
    
    print "Found {0} faces!".format(len(faces))
    
    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
    
    cv2.imshow("Faces found", image)
    cv2.waitKey(0)
    

Which is used to detect faces and make a rectangle around them using my cam. i
want to take the detected face as an image and save it in a folder /test/1.jpg
with the same size of rectangle .. in order to compare it with saved photos ..
and get the persons name how can ths happen ?


Answer: Here is the way to save the image

    
    
    for (x, y, w, h) in faces:
        if(x<0 and y<0):
            face= frame[ 0:h, 0:h,:]
        elif(y<0):
            face= frame[ 0:0+h, x:w,:]
        elif(x<0):
            face= frame[ y:h, 0:0+w,:]
        else:
            face= frame[ y:h, x:w,:]
     cv2.imwrite("folder /test/1.jpg", face)
    

