最近整理图片发现,好多图片都非常相似,于是写如下代码去删除,有两种方法:

  注:第一种方法只对于连续图片(例一个视频里截下的图片)准确率也较高,其效率高;第二种方法准确率高,但效率低

方法一:相邻两个文件比较相似度,相似就把第二个加到新列表里,然后进行新列表去重,统一删除。

  例如:有文件1-10,首先1和2相比较,若相似,则把2加入到新列表里,再接着2和3相比较,若不相似,则继续进行3和4比较…一直比到最后,然后删除新列表里的图片

代码如下:

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/15 9:19
# @Author  : xiaodai
import os
import cv2
from skimage.measure import compare_ssim
# import shutil
# def yidong(filename1,filename2):
#     shutil.move(filename1,filename2)
def delete(filename1):
    os.remove(filename1)
if __name__ == '__main__':
    path = r'D:\camera_pic\test\rec_pic'
    # save_path_img = r'E:\0115_test\rec_pic'
    # os.makedirs(save_path_img, exist_ok=True)
    img_path = path
    imgs_n = []
    num = []
    img_files = [os.path.join(rootdir, file) for rootdir, _, files in os.walk(path) for file in files if
                 (file.endswith('.jpg'))]
    for currIndex, filename in enumerate(img_files):
        if not os.path.exists(img_files[currIndex]):
            print('not exist', img_files[currIndex])
            break
        img = cv2.imread(img_files[currIndex])
        img1 = cv2.imread(img_files[currIndex + 1])
        ssim = compare_ssim(img, img1, multichannel=True)
        if ssim > 0.9:
            imgs_n.append(img_files[currIndex + 1])
            print(img_files[currIndex], img_files[currIndex + 1], ssim)
        else:
            print('small_ssim',img_files[currIndex], img_files[currIndex + 1], ssim)
        currIndex += 1
        if currIndex >= len(img_files)-1:
            break
    for image in imgs_n:
        # yidong(image, save_path_img)
        delete(image)

方法二:逐个去比较,若相似,则从原来列表删除,添加到新列表里,若不相似,则继续

  例如:有文件1-10,首先1和2相比较,若相似,则把2在原列表删除同时加入到新列表里,再接着1和3相比较,若不相似,则继续进行1和4比较…一直比,到最后一个,再继续,正常应该再从2开始比较,但2被删除了,所以从3开始,继续之前的操作,最后把新列表里的删除。

代码如下:

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/1/16 12:03
# @Author  : xiaodai
import os
import cv2
from skimage.measure import compare_ssim
import shutil
import datetime
def yidong(filename1,filename2):
    shutil.move(filename1,filename2)
def delete(filename1):
    os.remove(filename1)
    print('real_time:',now_now-now)
if __name__ == '__main__':
    path = r'F:\temp\demo'
    # save_path_img = r'F:\temp\demo_save'
    # os.makedirs(save_path_img, exist_ok=True)
    for (root, dirs, files) in os.walk(path):
        for dirc in dirs:
            if dirc == 'rec_pic':
                pic_path = os.path.join(root, dirc)
                img_path = pic_path
                imgs_n = []
                num = []
                del_list = []
                img_files = [os.path.join(rootdir, file) for rootdir, _, files in os.walk(img_path) for file in files if
                             (file.endswith('.jpg'))]
                for currIndex, filename in enumerate(img_files):
                    if not os.path.exists(img_files[currIndex]):
                        print('not exist', img_files[currIndex])
                        break
                    new_cur = 0
                    for i in range(10000000):
                        currIndex1 =new_cur
                        if currIndex1 >= len(img_files) - currIndex - 1:
                            break
                        else:
                            size = os.path.getsize(img_files[currIndex1 + currIndex + 1])
                            if size < 512:
                                # delete(img_files[currIndex + 1])
                                del_list.append(img_files.pop(currIndex1 + currIndex + 1))
                            else:
                                img = cv2.imread(img_files[currIndex])
                                img = cv2.resize(img, (46, 46), interpolation=cv2.INTER_CUBIC)
                                img1 = cv2.imread(img_files[currIndex1 + currIndex + 1])
                                img1 = cv2.resize(img1, (46, 46), interpolation=cv2.INTER_CUBIC)
                                ssim = compare_ssim(img, img1, multichannel=True)
                                if ssim > 0.9:
                                    # imgs_n.append(img_files[currIndex + 1])
                                    print(img_files[currIndex], img_files[currIndex1 + currIndex + 1], ssim)
                                    del_list.append(img_files.pop(currIndex1 + currIndex + 1))
                                    new_cur = currIndex1
                                else:
                                    new_cur = currIndex1 + 1
                                    print('small_ssim',img_files[currIndex], img_files[currIndex1 + currIndex + 1], ssim)
                for image in del_list:
                    # yidong(image, save_path_img)
                    delete(image)
                    print('delete',image)

如果有更好的方法,欢迎留言

来源https://www.cnblogs.com/xiaodai0/p/10270371.html

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