照片识别人脸

import requests
import base64
import json
import cv2
# 请求网址
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
# 因为图片是二进制流，所以需要转换为base64格式
with open('1.jpg','rb') as f:
    base64_data = base64.b64encode(f.read())
    image64data = base64_data.decode()
    # post请求需要传递的参数
    params = {'image':image64data,'image_type':'BASE64','face_field':'landmark150'}
    # url中需要的token值
    access_token = '24.98a7279f2b40afdca84975c2132b61ff.2592000.1565942701.282335-16822507'
    # url拼接
    request_url = request_url + "?access_token=" + access_token
    headers = {'Content-Type':'application/json'}
    response = requests.post(url=request_url,headers=headers,data=params)
    if response:
        # 因为是json字符串，取值需要转换格式，所以直接使用response.json()方法
        data = response.json()
        # 取值
        result = data['result']
        # 判断有请求到数据，并且脸部数量为1
        if result and result['face_num']==1:
            location = result['face_list'][0]['location']
            # 使用vc2模块，vc2模块是编辑图片的工具
            image = cv2.imread('1.jpg')
            # 因为传入的参数需要是int类型的，所有强转为int
            left = int(location['left'])
            top = int(location['top'])
            width = int(location['width'])
            height = int(location['height'])
            #利用cv2绘制人脸矩形框
            #参数：人脸数据，（人脸左侧位置，人脸顶部位置）（人脸右侧位置，人脸下部位置）（颜色值）
            cv2.rectangle(image,(left,top),(left+width,top+height),(0,0,255),1)
            # 将绘制好的图片存入到文件夹
            cv2.imwrite('2.jpg',image)
            #绘制人脸150点位
            landmark150 = result['face_list'][0]['landmark150']
            points_list = []
            print(landmark150)
            for i in landmark150:
                print(i)
                points_list.append(landmark150[i])
            for point in points_list:
                #参数：图像，圆心坐标，点半径大小，颜色，线条粗细
                x = int(point['x'])
                y = int(point['y'])
                cv2.circle(image,(x,y),1,(0,255,1),3)
            cv2.imwrite('face150.jpg',image)   #保存图片