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프로그램

#!/usr/local/bin/python3
#!-*- coding: utf-8 -*-

import argparse
import os
import tensorflow as tf
from PIL import Image
import numpy as np
import shutil

def padImages(input_dir, output_dir):

    files = os.listdir(input_dir)

    for file in files:

        name, ext = os.path.splitext(file)

        if ext != '.jpg':
            print('[' + file + ']: 不正なファイルが含まれています。')

        if '_' not in file:

            img = tf.read_file(os.path.join(input_dir, file))
            img = tf.image.decode_jpeg(img, channels=3)

            height, width = 250, 250

            crop_img = tf.random_crop(img, [height, width, 3])
            flip_left_right_img = tf.image.random_flip_left_right(img)
            # 正方形リサイズ後の場合、黒か白に寄せられてしまうため使えない。
            # brightness_img = tf.image.random_brightness(img, max_delta=63)
            contrast_img = tf.image.random_contrast(img, lower=0.2, upper=1.8)
            whitening_img = tf.image.per_image_standardization(img)

            with tf.Session() as sess:

                for i in range(4):
                    padded_img = sess.run(crop_img)

                    Image.fromarray(np.uint8(padded_img)).save(
                        os.path.join(
                            output_dir,
                            str(i) + '_crop_' + file
                        )
                    )

                padded_img = sess.run(flip_left_right_img)

                Image.fromarray(np.uint8(padded_img)).save(
                    os.path.join(
                        output_dir,
                        'flip_left_right_' + file
                    )
                )

                # padded_img = sess.run(brightness_img)
                #
                # Image.fromarray(np.uint8(padded_img)).save(
                #     os.path.join(
                #         output_dir,
                #         'brightness_' + file
                #     )
                # )

                padded_img = sess.run(contrast_img)

                Image.fromarray(np.uint8(padded_img)).save(
                    os.path.join(
                        output_dir,
                        'contrast_' + file
                    )
                )

                padded_img = sess.run(whitening_img)

                Image.fromarray(np.uint8(padded_img)).save(
                    os.path.join(
                        output_dir,
                        'whitening_' + file
                    )
                )

                shutil.copyfile(
                    os.path.join(input_dir, file),
                    os.path.join(output_dir, file)
                )

def main():

    # @TODO: tensorflowの引数関数に変更してもよい
    parser = argparse.ArgumentParser()
    parser.add_argument('--input_dir', default='original')
    parser.add_argument('--output_dir', default='paded')
    args = parser.parse_args()

    padImages(args.input_dir, args.output_dir)

if __name__ == '__main__':

    main()

실행 결과

tf.random_crop

tf.image.random_flip_left_right

tf.image.random_contrast

tf.image.per_image_standardization