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)

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持考高分网。