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process.py
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process.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Apr 25 10:03:58 2016
@author: Sun
"""
import os
import shutil
import random
import numpy as np
from operator import itemgetter,attrgetter
import sys
'''
函数：renamedir（）
函数功能：重命名文件夹，按一定顺序
输入参数：dir_path----包含子文件夹的路径
start ----开始序号
'''
def Renamedir(dir_path,start):
#print os.listdir(dir_path)
end = start
dirs = os.listdir(dir_path)
for dir_name in dirs:
old_name = dir_path + '/' + dir_name
new_name = "%s/%d"%(dir_path,end)
if old_name == new_name:
continue
else:
os.rename(old_name,new_name)
end += 1
print u'文件夹重命名结束，共处理%d个文件夹'%(end-start)
'''
函数：Rmovedir（）
函数功能：删除文件夹中文件少于一定数量的文件夹
输入参数：dir_path----包含子文件夹的路径
num----阈值，将文件数量小于等于num的文件夹删掉
'''
def Rmovedir(dir_path,num):
dirs = os.listdir(dir_path)
start = len(dirs)
end = 0
for name in dirs:
dir_name = dir_path + '/' + name
count = len(os.listdir(dir_name))
#print count
if count<=num:
shutil.rmtree(dir_name)
end += 1
print u'删减前文件数量%d,删减后文件夹数量%d，共删减%d个文件夹'%(start,start-end,end)
'''
函数： Romvepath（）
函数功能：删除一个imagelist中不存在的路径
输入参数：inputlist,outputlist
'''
def Rmovepath(inputlist,outlist):
fr_in = open(inputlist,'r')
fr_out = open(outlist,'w')
lines = fr_in.readlines()
start = len(lines)
end = 0
for line in lines:
curline = line.strip('\n')
if os.path.exists(curline):
fr_out.write(curline+'\n')
else:
end += 1
fr_in.close()
fr_out.close()
print u'Romvepath()已经完成，共删除%d路径，保留%d路径 '%(end,start-end)
'''
函数：Rmovepath_pair()
函数功能：成对删除文件中不存在的路径
输入参数：input1,input2,inlabel,output1,output2,outlabel
'''
def Rmovepath_pair(input1,input2,inlabel,output1,output2,outlabel):
fr_in1 = open(input1,'r')
fr_in2 = open(input2,'r')
fr_l = open(inlabel,'r')
fr_out1 = open(output1,'w')
fr_out2 = open(output2,'w')
fr_outl = open(outlabel,'w')
lines1 = fr_in1.readlines()
lines2 = fr_in2.readlines()
lines3 = fr_l.readlines()
start = len(lines1)
end = 0
for i in range(start):
curline = lines1[i].strip('\n')
if os.path.exists(curline):
fr_out1.write(curline+'\n')
fr_out2.write(lines2[i])
fr_outl.write(lines3[i])
else:
end += 1
fr_in1.close()
fr_in2.close()
fr_l.close()
fr_out1.close()
fr_out2.close()
fr_outl.close()
print u'Romvepath_path()已经完成，共删除%d路径，保留%d路径 '%(end,start-end)
'''
函数：TestPair（）
函数功能：从数据库中挑选正负样本
输入参数：dir_path----存放图片库路径
class_num----类别数量
neg_num----负样本数
pos_num----正样本数
leftlist
rightlist
label
'''
def TestPair(dir_path,class_num,leftlist,rightlist,label,pos_num=3000,neg_num=3000):
left = open(leftlist,'w')
right = open(rightlist,'w')
label = open(label,'w')
dirs = os.listdir(dir_path)
#print dirs[23]
#第一步，产生负样本
print u'产生负样本'
for i in range(neg_num):
#随机选取两个不同的文件夹
sample1 = random.randint(0,class_num-1)
sample2 = random.randint(0,class_num-1)
while(sample1 == sample2):
sample2 = random.randint(0,class_num-1)
sub_dir1 = dir_path + '/' + dirs[sample1]
sub_dir2 = dir_path + '/' + dirs[sample2]
files1 = os.listdir(sub_dir1)
files2 = os.listdir(sub_dir2)
l1 = len(files1)
l2 = len(files2)
#随机选取两个文件
f1 = random.randint(0,l1-1)
f2 = random.randint(0,l2-1)
files1_path = sub_dir1 + '/' + files1[f1]
files2_path = sub_dir2 + '/' + files2[f2]
#print files1_path,files2_path
left.write(files1_path+'\n')
right.write(files2_path+'\n')
label.write('0'+'\n')
print i
#print 'l1:',l1,' l2:',l2
print u'产生正样本'
for i in range(pos_num):
sample = random.randint(0,class_num-1)
sub_dir = dir_path + '/' + dirs[sample]
files = os.listdir(sub_dir)
l = len(files)
if l == 0:
print sub_dir
print u'上面路径下没有文件'
sys.exit(0)
#选取正样本时有可能一个文件夹中只有一个文件
elif l == 1:
file_path = sub_dir + '/' + files[0]
left.write(file_path+'\n')
right.write(file_path+'\n')
label.write('1'+'\n')
print i
else:
file1 = random.randint(0,l-1)
file2 = random.randint(0,l-1)
while(file1 == file2):
file2 = random.randint(0,l-1)
file1_path = sub_dir + '/' + files[file1]
file2_path = sub_dir + '/' + files[file2]
left.write(file1_path+'\n')
right.write(file2_path+'\n')
label.write('1'+'\n')
print i
left.close()
right.close()
label.close()
'''
函数：Select_K_MaxMin()
函数功能：输出文件夹中图片数量最多或最小的前K个文件夹路径
输入参数：dir_path----图片库路径
model----选择最大还是最小默认
K----前K个
'''
'''
def Select_K_MaxMin(dir_path,k=1,model='All'):
if not os.path.exists(dir_path):
print u'路径不存在！'
else:
label=[]
fileNum=[]
dirs = os.listdir(dir_path)
for subdir in dirs:
sub_dir = dir_path + '/' + subdir
files = os.listdir(sub_dir)
fileNum.append(len(files))
if model=='Max':
for i in range(k):
Max_label = np.argmax(fileNum)
#print Max_label
label.append(Max_label)
dir_name = dir_path + '/' + dirs[Max_label]
print '图片数：%d, 文件夹路径：%s'%(fileNum[Max_label],dir_name)
del fileNum[Max_label]
if model=='Min':
for i in range(k):
Min_label = np.argmin(fileNum)
label.append(Min_label)
dir_name = dir_path + '/' + dirs[Min_label]
print '图片数：%d, 文件夹路径：%s'%(fileNum[Min_label],dir_name)
del fileNum[Min_label]
if model=='All':
print 'Max'
for i in range(k):
Max_label = np.argmax(fileNum)
label.append(Max_label)
dir_name = dir_path + '/' + dirs[Max_label]
print '图片数：%d, 文件夹路径：%s'%(fileNum[Max_label],dir_name)
del fileNum[Max_label]
print 'Min'
for i in range(k):
Min_label = np.argmin(fileNum)
label.append(Min_label)
dir_name = dir_path + '/' + dirs[Min_label]
print '图片数：%d, 文件夹路径：%s'%(fileNum[Min_label],dir_name)
del fileNum[Min_label]
'''
'''
函数：Select_K_MaxMin()
函数功能：输出文件夹中图片数量最多或最小的前K个文件夹路径
输入参数：dir_path----图片库路径
model----选择最大还是最小默认
K----前K个
'''
def Select_K_MaxMin(dir_path,k=1,model='All'):
if not os.path.exists(dir_path):
print u'路径不存在！'
else:
#label=[]
fileNum=[]
result=[]
dirs = os.listdir(dir_path)
for subdir in dirs:
sub_dir = dir_path + '/' + subdir
files = os.listdir(sub_dir)
fileNum.append(len(files))
result.append((len(files),sub_dir))
if model=='Max':
print 'Max'
Maxlist = sorted(result,key=itemgetter(0),reverse=True)
for i in range(k):
print '图片数：%d，文件夹路径：%s'%(Maxlist[i][0],Maxlist[i][1])
if model=='Min':
print 'Min'
Minlist = sorted(result,key=itemgetter(0))
for i in range(k):
print '图片数：%d，文件夹路径：%s'%(Minlist[i][0],Minlist[i][1])
if model=='All':
print 'Max'
Maxlist = sorted(result,key=itemgetter(0),reverse=True)
for i in range(k):
print '图片数：%d，文件夹路径：%s'%(Maxlist[i][0],Maxlist[i][1])
print 'Min'
Minlist = sorted(result,key=itemgetter(0))
for i in range(k):
print '图片数：%d，文件夹路径：%s'%(Minlist[i][0],Minlist[i][1])
if __name__=='__main__':
Rmovedir('E:/Face_data/FaceImages5',5)
Renamedir('E:/Face_data/FaceImages5',2001)
Renamedir('E:/Face_data/FaceImages5',0)
'''
Rmovepath_pair('D:/Documents/Downloads/DeepFace-master/FaceRecongnition/deepid/filelist_lfw/filelist_left.list',\
'D:/Documents/Downloads/DeepFace-master/FaceRecongnition/deepid/filelist_lfw/filelist_right.list',\
'D:/Documents/Downloads/DeepFace-master/FaceRecongnition/deepid/filelist_lfw/filelist_label.list',\
'D:/Documents/Downloads/DeepFace-master/FaceRecongnition/deepid/filelist_lfw/lfw_left.list',\
'D:/Documents/Downloads/DeepFace-master/FaceRecongnition/deepid/filelist_lfw/lfw_right.list',\
'D:/Documents/Downloads/DeepFace-master/FaceRecongnition/deepid/filelist_lfw/label.list')
'''
'''
TestPair('E:/Face_data/FaceImages4',541,'E:/Face_data/left_1.txt','E:/Face_data/right_1.txt',\
'E:/Face_data/label_1.txt')
'''
Select_K_MaxMin('E:/Face_data/FaceImages5',5,'All')