face2.py 文件源码

def detect_faces(image):

    face_cascade1 = cv2.CascadeClassifier(XML_PATH1)
    if image.ndim == 3:
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    else:
        gray = image 

    faces = face_cascade1.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