'''
# 人体关键点识别
'''
import base64
import urllib
import urllib.request,sys,base64
import urllib.parse
import json
import joint
import cv2request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/body_analysis"
#使用不同的功能时在百度的相应说明文档处替换此处f = open('/home/zhengr/Documents/data/1.jpg', 'rb')
image = base64.b64encode(f.read())
image64 = str(image,'utf-8')
image_type = "BASE64"params = {'image': image64,'image_type':"BASE64"}params = urllib.parse.urlencode(params).encode("utf-8")access_token = '[24.fdd8df19e52da8ff449e1484aa582f42.2592000.1556250057.282335-15823849]'
request_url = request_url + "?access_token=" + access_token
#access token是每个人获得的，有效期30天？貌似request = urllib.request.urlopen(url=request_url, data=params)   # 发送请求content = request.read()  # 将返回结果读取出来
print(content)  # 显示返回结果
result = str(content,'utf-8')
res = json.loads(result)
print(res['person_info'][0]['body_parts'])
ress = res['person_info'][0]['body_parts']
jo = (ress)
jo.xunhun('/home/zhengr/Documents/data/1.jpg')

#!/bin/bash
curl -i -k 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=QMLVBU3QbNA25XxawltynC1R&client_secret=GuwC9U5WTIbvWgo7ryolIB6Yy1e5H5Nx'

import cv2
import os
class Joint(object):__circle_list = []def __init__(self,dic):    self.dic = dicdef draw_line(self,img):#nose ---> neckcv2.line(img, (int(self.dic['nose']['x']),int(self.dic['nose']['y'])),(int(self.dic['neck']['x']),int(self.dic['neck']['y'])), (0,255,0), 2)#neck --> left_shouldercv2.line(img, (int(self.dic['neck']['x']),int(self.dic['neck']['y'])),(int(self.dic['left_shoulder']['x']),int(self.dic['left_shoulder']['y'])), (0,255,0), 2)        #neck --> right_shouldercv2.line(img, (int(self.dic['neck']['x']),int(self.dic['neck']['y'])),(int(self.dic['right_shoulder']['x']),int(self.dic['right_shoulder']['y'])), (0,255,0), 2)        #left_shoulder --> left_elbowcv2.line(img, (int(self.dic['left_shoulder']['x']),int(self.dic['left_shoulder']['y'])),(int(self.dic['left_elbow']['x']),int(self.dic['left_elbow']['y'])), (0,255,0), 2)         #left_elbow --> left_wristcv2.line(img, (int(self.dic['left_elbow']['x']),int(self.dic['left_elbow']['y'])),(int(self.dic['left_wrist']['x']),int(self.dic['left_wrist']['y'])), (0,255,0), 2)         #right_shoulder --> right_elbowcv2.line(img, (int(self.dic['right_shoulder']['x']),int(self.dic['right_shoulder']['y'])),(int(self.dic['right_elbow']['x']),int(self.dic['right_elbow']['y'])), (0,255,0), 2)          #right_elbow --> right_wristcv2.line(img, (int(self.dic['right_elbow']['x']),int(self.dic['right_elbow']['y'])),(int(self.dic['right_wrist']['x']),int(self.dic['right_wrist']['y'])), (0,255,0), 2)         #neck --> left_hipcv2.line(img, (int(self.dic['neck']['x']),int(self.dic['neck']['y'])),(int(self.dic['left_hip']['x']),int(self.dic['left_hip']['y'])), (0,255,0), 2)         #neck --> right_hipcv2.line(img, (int(self.dic['neck']['x']),int(self.dic['neck']['y'])),(int(self.dic['right_hip']['x']),int(self.dic['right_hip']['y'])), (0,255,0), 2)       #left_hip --> left_kneecv2.line(img, (int(self.dic['left_hip']['x']),int(self.dic['left_hip']['y'])),(int(self.dic['left_knee']['x']),int(self.dic['left_knee']['y'])), (0,255,0), 2)        #right_hip --> right_kneecv2.line(img, (int(self.dic['right_hip']['x']),int(self.dic['right_hip']['y'])),(int(self.dic['right_knee']['x']),int(self.dic['right_knee']['y'])), (0,255,0), 2)        #left_knee --> left_anklecv2.line(img, (int(self.dic['left_knee']['x']),int(self.dic['left_knee']['y'])),(int(self.dic['left_ankle']['x']),int(self.dic['left_ankle']['y'])), (0,255,0), 2)        #right_knee --> right_anklecv2.line(img, (int(self.dic['right_knee']['x']),int(self.dic['right_knee']['y'])),(int(self.dic['right_ankle']['x']),int(self.dic['right_ankle']['y'])), (0,255,0), 2)def xunhun(self,img):im1 = cv2.imread(img,cv2.IMREAD_COLOR)#im2 = cv2.resize(im1, (1040,768), interpolation=cv2.INTER_CUBIC)for i in self.dic:cv2.circle(im1,(int(self.dic[i]['x']),int(self.dic[i]['y'])),5,(0,255,0),-1)self.draw_line(im1)cv2.imshow('image',im1)cv2.waitKey(0)