python 美颜人脸

value越大，美颜效果越好，时间越长

10就够了，有明显效果, 15的时候，18ms

  

   

    

     

    
    

     

      # coding:utf-8
     
    
   

    

     

    
    

     

      import time
     
    
   

    

     

    
    

     

      import numpy as np
     
    
   

    

     

    
    

     

      import cv2
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      if __name__ == '__main__':
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       value = 15
     
    
   

    

     

    
    

     

       capture = cv2.VideoCapture(0)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     
 while True:
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       ret, frame = capture.read()
     
    
   

    

     

    
    

     

       frame = cv2.flip(frame, 1, dst=None)  # 水平镜像
     
    
   

    

     

    
    

     

       roi=frame[50:350,250:450]
     
    
   

    

     

    
    

     

       start=time.time()
     
    
   

    

     

    
    

     

       image_dst = cv2.bilateralFilter(roi, value, value * 2, value / 2)
     
    
   

    

     

    
    

     

       print('time',value, time.time() - start)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       frame[50:350,250:450]=image_dst
     
    
   

    

     

    
    

     

       cv2.imshow('frame', frame)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       c = cv2.waitKey(30)
     
    
   

    

     

    
    

     
 if 27 == c:  # Esc quit
     
    
   

    

     

    
    

     
 break;
     
    
   

    

     

    
    

     
 elif c == ord('w'):
     
    
   

    

     

    
    

     

       value += 1
     
    
   

    

     

    
    

     
 elif c == ord('s'):
     
    
   

    

     

    
    

     

       value -= 1
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       capture.release()
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       cv2.destroyAllWindows()
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     
 # dst = cv2.bilateralFilter(src=image, d=0, sigmaColor=100, sigmaSpace=5)
     
    
  
 

发现第一次慢，后面就快了

time 0.2943227291107178
time 0.008997201919555664
time 0.010003328323364258
time 0.009996414184570312
time 0.011000633239746094
time 0.010999917984008789
time 0.010999917984008789
time 0.009999275207519531
time 0.011000633239746094
time 0.01100015640258789

文章来源: blog.csdn.net，作者：网奇，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/jacke121/article/details/84930484