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()

'''