百度API之人脸检测-Python

# encoding:utf-8
import base64
import urllib
import urllib2
import json

import PIL
from PIL import ImageFont
from PIL import Image
from PIL import ImageDraw

'''
人脸探测
'''

request_url = "https://aip.baidubce.com/rest/2.0/face/v1/detect"
#人脸图片
imageFile = 'E:\ALL\Eason\cyx.jpg'
f = open(imageFile, 'rb')
img = base64.b64encode(f.read())

params = {"face_fields":"age,beauty,expression,faceshape,gender,glasses,landmark,race,qualities","image":img,"max_face_num":5}
params = urllib.urlencode(params)

#配置access_token--http://ai.baidu.com/docs#/Auth/top
access_token = '24.29b2495a93b91a360073679a10102c07.2592000.1518938943.282335-10717832'
request_url = request_url + "?access_token=" + access_token
request = urllib2.Request(url=request_url, data=params)
request.add_header('Content-Type', 'application/x-www-form-urlencoded')
response = urllib2.urlopen(request)
content = response.read()
if content:
	# print content
	dict1 = json.loads(content)
	result = dict1['result']
	dict2 = result[0]
	#获得72个关键点坐标
	landmark72 = dict2['landmark72']

	im1=Image.open(imageFile)
	draw = ImageDraw.Draw(im1)
	for index in range(72):
		xy = landmark72[index]
		draw.text((xy['x'], xy['y']),"o",(255,255,0))
	draw = ImageDraw.Draw(im1)

	im1.save("target.png")