python查找重复图片并删除（图片去重）
本文实例为大家分享了python查找重复图片并删除的具体代码，供大家参考，具体内容如下
和网络爬虫配套的，也可单独使用，从网上爬下来的图片重复太多，代码支持识别不同尺寸大小一致的图片，并把重复的图片删除，只保留第一份。
# -*- coding: utf-8 -*-
import cv2
import numpy as np
import os,sys,types
def cmpandremove2(path):
dirs = os.listdir(path)
dirs.sort()
if len(dirs) <= 0:
return
dict={}
for i in dirs:
prepath = path + "/" + i
preimg = cv2.imread(prepath)
if type(preimg) is types.NoneType:
continue
preresize = cv2.resize(preimg, (8,8))
pregray = cv2.cvtColor(preresize, cv2.COLOR_BGR2GRAY)
premean = cv2.mean(pregray)[0]
prearr = np.array(pregray.data)
for j in range(0,len(prearr)):
if prearr[j] >= premean:
prearr[j] = 1
else:
prearr[j] = 0
print "get", prepath
dict[i] = prearr
dictkeys = dict.keys()
dictkeys.sort()
index = 0
while True:
if index >= len(dictkeys):
break
curkey = dictkeys[index]
dellist=[]
print curkey
index2 = index
while True:
if index2 >= len(dictkeys):
break
j = dictkeys[index2]
if curkey == j:
index2 = index2 + 1
continue
arr1 = dict[curkey]
arr2 = dict[j]
diff = 0
for k in range(0,len(arr2)):
if arr1[k] != arr2[k]:
diff = diff + 1
if diff <= 5:
dellist.append(j)
index2 = index2 + 1
if len(dellist) > 0:
for j in dellist:
file = path + "/" + j
print "remove", file
os.remove(file)
dict.pop(j)
dictkeys = dict.keys()
dictkeys.sort()
index = index + 1
def cmpandremove(path):
index = 0
flag = 0
dirs = os.listdir(path)
dirs.sort()
if len(dirs) <= 0:
return 0
while True:
if index >= len(dirs):
break
prepath = path + dirs[index]
print prepath
index2 = 0
preimg = cv2.imread(prepath)
if type(preimg) is types.NoneType:
index = index + 1
continue
preresize = cv2.resize(preimg, (8, 8))
pregray = cv2.cvtColor(preresize, cv2.COLOR_BGR2GRAY)
premean = cv2.mean(pregray)[0]
prearr = np.array(pregray.data)
for i in range(0, len(prearr)):
if prearr[i] >= premean:
prearr[i] = 1
else:
prearr[i] = 0
removepath = []
while True:
if index2 >= len(dirs):
break
if index2 != index:
curpath = path + dirs[index2]
# print curpath
curimg = cv2.imread(curpath)
if type(curimg) is types.NoneType:
index2 = index2 + 1
continue
curresize = cv2.resize(curimg, (8, 8))
curgray = cv2.cvtColor(curresize, cv2.COLOR_BGR2GRAY)
curmean = cv2.mean(curgray)[0]
curarr = np.array(curgray.data)
for i in range(0, len(curarr)):
if curarr[i] >= curmean:
curarr[i] = 1
else:
curarr[i] = 0
diff = 0
for i in range(0, len(curarr)):
if curarr[i] != prearr[i]:
diff = diff + 1
if diff <= 5:
print 'the same'
removepath.append(curpath)
flag = 1
index2 = index2 + 1
index = index + 1
if len(removepath) > 0:
for file in removepath:
print "remove", file
os.remove(file)
dirs = os.listdir(path)
dirs.sort()
if len(dirs) <= 0:
return 0
# index = 0
return flag
path = 'pics/'
cmpandremove(path)
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