Photo recognize faces

Requests Import 
Import base64 
Import json 
Import CV2 
# request URL 
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect" 
# because the picture is a binary stream, it needs to be converted to base64 format 
with open ( '1.jpg', 'RB') AS F: 
    base64_data = base64.b64encode (reached, f.read ()) 
    image64data base64_data.decode = () 
    # POST request parameters need to pass 
    params = { 'image': image64data , 'image_type ':' BASE64 ',' face_field ':' landmark150 '} 
    # url token values required in 
    the access_token .98a7279f2b40afdca84975c2132b61ff.2592000.1565942701.282335-16822507 = '24' 
    # url splice 
    request_url = request_url + "? = the access_token" + the access_token 
    headers = { 'Content-Type': 'application/json'}
    = requests.post Response (URL = request_url, headers = headers, the params = Data) 
    IF Response: 
        # json because a string of the format to be converted, so the direct use response.json () method of 
        data = response.json () 
        # value 
        Result = data [ 'Result'] 
        # is determined there is a request to the data, and the number of faces. 1 
        IF and Result Result [ 'face_num'] ==. 1: 
            LOCATION = Result [ 'face_list'] [0] [ ' LOCATION '] 
            # use vc2 module, the module is vc2 picture editing tools 
            Image = cv2.imread (' 1.jpg ') 
            # is required because the incoming parameters of type int, all strong into int 
            left = int (LOCATION [ 'left']) 
            Top = int (LOCATION [ 'Top']) 
            width = int (LOCATION [ 'width']) 
            height = int (LOCATION [ 'height'])
            # Cv2 using face rectangle drawing 
            # parameters: the face data, (the left face position, face the top position) (the right face position, face down position) (color values) 
            cv2.rectangle (Image, ( left, Top), (left + width, Top + height), (0,0,255), 1) 
            # will draw a good picture into the folder 
            cv2.imwrite ( '2.jpg', Image) 
            # draw a face 150 points 
            landmark150 Result = [ 'face_list'] [0] [ 'landmark150'] 
            points_list = [] 
            Print (landmark150) 
            for I in landmark150: 
                Print (I) 
                points_list.append (landmark150 [I]) 
            for in points_list point: 
                # parameters: image, center coordinates, the radius of the point size, color, line thickness, 
                X = int (point [ 'X']) 
                Y = int (point [ 'Y'])
                cv2.circle (Image, (X, Y),. 1, (0,255,1),. 3) 
            cv2.imwrite ( 'face150.jpg', Image) stored image #