animegan_picmean.py

#  Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.

import os
import cv2
import numpy as np
from glob import glob
from tqdm import tqdm
import argparse


def read_img(image_path):
    img = cv2.imread(image_path)
    assert len(img.shape) == 3
    B = img[..., 0].mean()
    G = img[..., 1].mean()
    R = img[..., 2].mean()
    return B, G, R


def main(dataset):
    file_list = glob(os.path.join(dataset, '*.jpg'))
    image_num = len(file_list)
    print('image_num:', image_num)

    B_total = 0
    G_total = 0
    R_total = 0
    for f in tqdm(file_list):
        bgr = read_img(f)
        B_total += bgr[0]
        G_total += bgr[1]
        R_total += bgr[2]

    B_mean, G_mean, R_mean = B_total / image_num, G_total / image_num, R_total / image_num
    mean = (B_mean + G_mean + R_mean) / 3

    print('RGB mean diff')
    print(
        np.asfarray((mean - R_mean, mean - G_mean, mean - B_mean),
                    dtype='float32'))


if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--dataset',
                        help="get the mean values of rgb from dataset",
                        type=str,
                        default='')

    args = parser.parse_args()

    main(args.dataset)