face1.py 文件源码

def detectFaces(image_path):
    """
    Open the image based on the image_path and find all faces in the image.
    Finally, return the coordinates , width and height as a list
    """
    img = cv2.imread(image_path)

    face_cascade = cv2.CascadeClassifier("cvdata\\haarcascades\\haarcascade_frontalface_default.xml")
    if img.ndim == 3:
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    else:
        gray = img 


    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=3, minSize=(10,10),
                                     flags=cv2.CASCADE_SCALE_IMAGE)
    result = []

    for (x,y,width,height) in faces:
        result.append((x,y,x+width,y+height))
    return result