block19.python

# OpenCV face detector
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")

def detect_face_cv2(img):
    # Move to grayscale
    gray_img = cv2.cvtColor(img.copy(), cv2.COLOR_RGB2GRAY)
    face_locations = []
    face_rects = face_cascade.detectMultiScale(gray_img, scaleFactor=1.3, minNeighbors=5)     
    for (x,y,w,h) in face_rects: 
        face_location = (x,y,w,h)
        face_locations.append((face_location, 1.0))
    return face_locations