caffe中accuracy和loss用python从log日志里面获取

import re
import pylab as pl
import numpy as np

if __name__=="__main__":
   accuracys=[]
   losses=[]
   with open(r‘/home/wxl/bnscallog.txt‘,‘r‘) as f:
	lines=f.readlines();
	print len(lines)
	str="".join(lines)
	str=str.replace(‘\n‘,‘‘)
	print len(str)
	pattern1=r‘Iteration \d{4,5}, Testing net \(#0\)\w\d{1,6} \d{2}:\d{2}:\d{2}\.\d{1,6} \d{1,6} solver\.cpp:\d{2,5}]     Test net output #0: accuracy = 0\.\d{6}‘;
	pattern2=r‘Iteration \d+, loss = 0\.\d{6}‘;
	accuracys=re.findall(pattern1,str);
	losses=re.findall(pattern2,str);
	print len(accuracys),‘aaaa‘;
	print len(losses),‘===‘
   print accuracys
	
  
   with open(r‘/home/wxl/project/code/loss‘,‘w+‘) as f1:
	for ac in losses:
		f1.write(ac[10:15])
		f1.write(‘ ‘)
		f1.write(ac[23:]);
		f1.write(‘\n‘);
‘‘‘
   with open(r‘/home/wxl/project/code/loss‘,‘r‘) as f2:
	lines=f2.readlines();
	x=[];
	y=[]
	for line in lines:

		if "," in line:
			line=line.replace(‘,‘,‘‘);
		tmp=line.strip(‘\n‘).split(‘ ‘)
		x.append(int(tmp[0]))
		y.append(float(tmp[-1]))
	
	pl.plot(x,y)
	pl.show()
   
‘‘‘