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# Copyright (c) 2020 Huawei Technologies Co., Ltd.
# Licensed under CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International) (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
#
# The code is released for academic research use only. For commercial use, please contact Huawei Technologies Co., Ltd.
# 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 glob
import os
import sys
import numpy as np
import random
import imageio
import pickle
from natsort import natsort
from tqdm import tqdm
def get_img_paths(dir_path, wildcard='*.png'):
return natsort.natsorted(glob.glob(dir_path + '/' + wildcard))
def create_all_dirs(path):
if "." in path.split("/")[-1]:
dirs = os.path.dirname(path)
else:
dirs = path
os.makedirs(dirs, exist_ok=True)
def to_pklv4(obj, path, vebose=False):
create_all_dirs(path)
with open(path, 'wb') as f:
pickle.dump(obj, f, protocol=4)
if vebose:
print("Wrote {}".format(path))
from imresize import imresize
def random_crop(img, size):
h, w, c = img.shape
h_start = np.random.randint(0, h - size)
h_end = h_start + size
w_start = np.random.randint(0, w - size)
w_end = w_start + size
return img[h_start:h_end, w_start:w_end]
def imread(img_path):
img = imageio.imread(img_path)
if len(img.shape) == 2:
img = np.stack([img, ] * 3, axis=2)
return img
def to_pklv4_1pct(obj, path, vebose):
n = int(round(len(obj) * 0.01))
path = path.replace(".", "_1pct.")
to_pklv4(obj[:n], path, vebose=True)
def main(dir_path):
hrs = []
lqs = []
img_paths = get_img_paths(dir_path)
for img_path in tqdm(img_paths):
img = imread(img_path)
for i in range(47):
crop = random_crop(img, 256)
cropX4 = imresize(crop, scalar_scale=0.25)
hrs.append(crop)
lqs.append(cropX4)
shuffle_combined(hrs, lqs)
hrs_path = get_hrs_path(dir_path)
to_pklv4(hrs, hrs_path, vebose=True)
lqs_path = get_lqs_path(dir_path)
to_pklv4(lqs, lqs_path, vebose=True)
def get_hrs_path(dir_path):
base_dir = '/kaggle/working/'
name = os.path.basename(dir_path)
hrs_path = os.path.join(base_dir, 'pkls', name + '.pklv4')
return hrs_path
def get_lqs_path(dir_path):
base_dir = '/kaggle/working/'
name = os.path.basename(dir_path)
hrs_path = os.path.join(base_dir, 'pkls', name + '_X4.pklv4')
return hrs_path
def shuffle_combined(hrs, lqs):
combined = list(zip(hrs, lqs))
random.shuffle(combined)
hrs[:], lqs[:] = zip(*combined)
if __name__ == "__main__":
dir_path = sys.argv[1]
assert os.path.isdir(dir_path)
main(dir_path)
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