百度在线人脸识别_人脸在线识别-优快云博客

1.申请百度识别人脸应用

①百度智能云平台登录

https://console.bce.baidu.com/ai/?_=1558444274128&fromai=1#/ai/face/overview/index

②先创建应用后管理应用便可以获得API Key和Secret Key

2.代码基于python3.7


#coding:utf-8

import urllib.request
import urllib
import json
import base64
import cv2

global token




def getToken():

    global token

    # client_id 为官网获取的AK， client_secret 为官网获取的SK

    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=你的API key &client_secret=你的Secret Key'


    request = urllib.request.Request(host)

    request.add_header('Content-Type', 'application/json; charset=UTF-8')

    response = urllib.request.urlopen(request)

    content = response.read()

    if (content):

        token=json.loads(content)['access_token']



def faceDetect(imgBase64):

    '''

    人脸检测与属性分析

    '''

    request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"

    request_url = request_url + "?access_token=" + token;

    request = urllib.request.Request(request_url)

    request.add_header('Content-Type', 'application/json')

    data = {"image": imgBase64, "image_type": "BASE64","face_field":"age,beauty,expression,face_shape,gender"}
  
    response = urllib.request.urlopen(request, urllib.parse.urlencode(data).encode(encoding='UTF8'))
    # print(response)
    content = response.read()
    # print(content)

    if content:

        return content



def imgToBase64(imgPath):

    with open(imgPath, "rb") as f:  # 转为二进制格式

        base64_data = base64.b64encode(f.read())  # 使用base64进行加密

        return base64_data





if __name__=="__main__":



    getToken()

    imgPath=r"img/jin.jpg";

    result=json.loads(faceDetect(imgToBase64(imgPath)))['result']
  
    print(result)

    face_list=result['face_list'][0]

    location=face_list['location']

    age=face_list['age']

    beauty=face_list['beauty']

    expression=face_list['expression']['type']

    gender=face_list['gender']['type']



    img = cv2.imread(imgPath, cv2.IMREAD_COLOR)

    leftTopX=int(location['left'])

    leftTopY=int(location['top'])

    rightBottomX=int(leftTopX+int(location['width']))

    rightBottomY = int(leftTopY + int(location['height']))

    cv2.rectangle(img, (leftTopX, leftTopY), (rightBottomX, rightBottomY), (0, 255, 0), 2)

    font = cv2.FONT_HERSHEY_SIMPLEX

    # 第一个坐标表示起始位置

    cv2.putText(img,"age:"+str(age),(0, 20),font, 0.5, (200, 255, 255), 1)

    cv2.putText(img, "gender:" + gender, (0, 40), font, 0.5, (200, 255, 255), 1)

    cv2.putText(img, "beauty:" + str(beauty), (0, 60), font, 0.5, (200, 255, 255), 1)

    cv2.putText(img, "expression:" + str(expression), (0, 80), font, 0.5, (200, 255, 255), 1)

    cv2.imshow('image', img)

    cv2.waitKey(0)

    print("end")

3.如果cv2包导入有问题可以参考

https://blog.youkuaiyun.com/trytrylmt/article/details/103708537

4.运行结果