第一步先找出不能resize的图片

#encoding:utf-8 

## Used to find dirty pictures
import os
import re
from skimage import io,transform
from PIL import Image
# from PIL import ImageFile
# ImageFile.LOAD_TRUNCATED_IMAGES = True
print(1, "Warning:")
print(Image.MAX_IMAGE_PIXELS)

print(2, "No warning:")
Image.MAX_IMAGE_PIXELS = None
print Image.MAX_IMAGE_PIXELS

input_path = '/home/t-huch/cycleGAN/pytorch-CycleGAN-and-pix2pix/datasets/cubism/trainB'
output_path = '/home/t-huch/cycleGAN/pytorch-CycleGAN-and-pix2pix/datasets/cubism/resize_trainB/'

if not os.path.exists(output_path):
    os.makedirs(output_path)
remove_list = []
two_dimension = []
not_three_dimension = []
truncated_image = []
os.system("rm "+output_path)
file_list = os.listdir(input_path)
for index,file_name in enumerate(file_list):
    file_path = os.path.join(input_path,file_name)
    print("is reading: ",index,  file_path)
    if re.findall(".jpg",file_path):
        try:
            img_file2 = io.imread(file_path)
            if (len(img_file2.shape) == 2):
                print "two dimension", file_name
                print "two dimension", img_file2.shape
                two_dimension.append(file_name)
            elif (len(img_file2.shape) != 3):
                print "not three dimension", file_name
                print "not three dimension", img_file2.shape
                not_three_dimension.append(file_name)
            elif (img_file2.shape[0]*img_file2.shape[1]*img_file2.shape[2] >= 178956970) or (img_file2.shape[2] > 3):
                print "images over pixels or not RGB", file_name
                print "images over pixels or not RGB", img_file2.shape
                remove_list.append(file_name)
        except Exception as e:
            truncated_image.append(file_name)
            print "image is truncated", file_name
            print "image is truncated", img_file2.shape
print "truncated_image", truncated_image
print "two_dimension", two_dimension
print "not_three_dimension", not_three_dimension
print "remove_list", remove_list

第二步进行删除

for remove_file_name in not_three_dimension:
    remove_file_path = os.path.join(input_path, remove_file_name)
    os.system("rm " + remove_file_path)
    print("rm " + remove_file_path)
for remove_file_name in remove_list:
    remove_file_path = os.path.join(input_path, remove_file_name)
    os.system("rm " + remove_file_path)
    print("rm " + remove_file_path)
for remove_file_name in truncated_image:
    remove_file_path = os.path.join(input_path, remove_file_name)
    os.system("rm " + remove_file_path)
    print("rm " + remove_file_path)