tiny_imagenet.py

import glob
import os
from shutil import move
from os import rmdir

# https://github.com/tjmoon0104/Tiny-ImageNet-Classifier/blob/master/utils/tiny-imgnet-val-reformat.ipynb

target_folder = os.path.expanduser('~/datasets/tiny-imagenet-200/val/')
test_folder = os.path.expanduser('~/datasets/tiny-imagenet-200/test/')

val_dict = {}
with open(target_folder + 'val_annotations.txt', 'r') as f:
    for line in f.readlines():
        split_line = line.split('\t')
        val_dict[split_line[0]] = split_line[1]

paths = glob.glob(target_folder + 'images/*')

for path in paths:
    file = path.split('/')[-1]
    folder = val_dict[file]

    if not os.path.exists(target_folder + str(folder)):
        os.mkdir(target_folder + str(folder))
        os.mkdir(target_folder + str(folder) + '/images')
    if not os.path.exists(test_folder + str(folder)):
        os.mkdir(test_folder + str(folder))
        os.mkdir(test_folder + str(folder) + '/images')

for path in paths:
    file = path.split('/')[-1]
    folder = val_dict[file]
    if len(glob.glob(target_folder + str(folder) + '/images/*')) < 25:
        dest = target_folder + str(folder) + '/images/' + str(file)
    else:
        dest = test_folder + str(folder) + '/images/' + str(file)
    move(path, dest)

# os.remove('./tiny-imagenet-200/val/val_annotations.txt')
# rmdir('~/datasets/tiny-imagenet-200/val/images')
rmdir(os.path.join(target_folder, '/images/'))