retinaface 分析日志

  

   

    

     

    
    

     
 
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      def fenxi(path="param_file.txt"):
     
    
   

    

     

    
    

     
 with open(path, "r") as f:
     
    
   

    

     

    
    

     

       data = f.readlines()
     
    
   

    

     

    
    

     
 return data
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      if __name__ == '__main__':
     
    
   

    

     

    
    

     
 import numpy as np
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     
 # np.set_printoptions(threshold=np.nan)
     
    
   

    

     

    
    

     

       np.set_printoptions(formatter={'float': '{: 0.3f}'.format})
     
    
   

    

     

    
    

     

       data_o=fenxi()
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       biaotou=data_o[0].replace("\n","").split(";")
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       no_show=[]
     
    
   

    

     

    
    

     
 for index,name in enumerate(biaotou[::-1]):
     
    
   

    

     

    
    

     
 if 'batch_norm' in name or 'bias' in name:
     
    
   

    

     

    
    

     

       biaotou.remove(name)
     
    
   

    

     

    
    

     

       no_show.append(index)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       print(len(biaotou),biaotou)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       max_list= []
     
    
   

    

     

    
    

     

       data_list=[]
     
    
   

    

     

    
    

     

       epoch_index=0
     
    
   

    

     

    
    

     
 for index, row in enumerate(data_o):
     
    
   

    

     

    
    

     
 if index>0:
     
    
   

    

     

    
    

     

       rows=row.split(";")
     
    
   

    

     

    
    

     

       row_1=rows[0].split(" ")
     
    
   

    

     

    
    

     

       rows[0]=row_1[3]
     
    
   

    

     

    
    

     

       rows=
     
    
  
 

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/103789204