CV之API：利用Face++的人体识别接口，实现摄像头实时手势识别

CV之API：利用Face++的人体识别接口，实现摄像头实时手势识别

目录

测试图片

实现代码(部分)

测试图片

实现代码(部分)

  

   

    

     

    
    

     

      #利用Face++的人体识别接口，实现摄像头实时手势识别
     
    
   

    

     

    
    

     

      import requests
     
    
   

    

     

    
    

     

      from json import JSONDecoder
     
    
   

    

     

    
    

     

      import datetime
     
    
   

    

     

    
    

     

      import cv2
     
    
   

    

     

    
    

     

      import os
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      http_url ="https://api-cn.faceplusplus.com/humanbodypp/beta/gesture"
     
    
   

    

     

    
    

     

      key ="UVqp3_Es7_Gr504eGd0HQR4EWtvNC7u5"
     
    
   

    

     

    
    

     

      secret ="PB5hI_ytmOkRIYXxEQEIwmbH0bFdqrL6"
     
    
   

    

     

    
    

     

      filepath1 ="F:/Gesture5.jpg"
     
    
   

    

     

    
    

     

      data = {"api_key":key, "api_secret": secret, "return_gesture": "1"}
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      files = {"image_file": open(filepath1, "rb")}
     
    
   

    

     

    
    

     

      cap = cv2.VideoCapture(0)
     
    
   

    

     

    
    

     

      while   True:
     
    
   

    

     

    
    

     

       ret, frame = cap.read()
     
    
   

    

     

    
    

     
  # cv2.resize(frame,frame,320,240,0)
     
    
   

    

     

    
    

     
 # show a frame
     
    
   

    

     

    
    

     

       cv2.imshow("capture", frame)
     
    
   

    

     

    
    

     

       cv2.imwrite(filepath1, frame)
     
    
   

    

     

    
    

     

       files = {"image_file": open(filepath1, "rb")}
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       starttime = datetime.datetime.now()
     
    
   

    

     

    
    

     

       response = requests.post(http_url, data=data, files=files)
     
    
   

    

     

    
    

     

       endtime = datetime.datetime.now()
     
    
   

    

     

    
    

     

       print((endtime - starttime).seconds)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       req_con = response.content.decode('utf-8')
     
    
   

    

     

    
    

     

       req_dict = JSONDecoder().decode(req_con)
     
    
   

    

     

    
    

     

       print(req_dict)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       cv2.waitKey(10)
     
    
  
 

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原文链接：yunyaniu.blog.csdn.net/article/details/95537434