from PIL import Image from os import listdir import numpy as np path = ‘/home/hscuabc/WorkSpace/Python-srf/深度神经网络/data/人脸识别测试数据/negdata‘ save_path = ‘/home/hscuabc/WorkSpace/Python-srf/深度神经网络/data/人脸识别测试数据/reshape_negdata‘ w_expect = 20;l_expect = 20 img_path = path + ‘/image_0.png‘ def reshape_img(Img_path, save_img_path): im = Image.open(Img_path) expect_img = im.resize((w_expect, l_expect), Image.ANTIALIAS) expect_img.save(save_img_path) return def all_file_reshape(file_path, save_path): all_file = listdir(file_path) cnt = 0 for file in all_file: Img_path = file_path + ‘/‘ + file save_img_path = save_path + ‘/‘ + file[6:] reshape_img(Img_path, save_img_path) cnt = cnt + 1 print(cnt) all_file_reshape(path, save_path)
自己在搞深度学习的时候发现negdata图片是50*50的,posdata图片是20*20的,想统一成20*20的
于是就决定写一个脚本搞定他
记得以前群里有个人问有没有可以批量压缩图片的软件
下什么软件呀
直接自己写脚本
(莫名感觉自己好厉害