LambdaSuperRes / KAIR /scripts /data_preparation /prepare_GoPro_as_video.py
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import os
import glob
import shutil
def rearrange_dir_structure(dataset_path, traintest='train'):
'''move files to follow the directory structure as REDS
Original GoPro dataset is organized as GoPro/train/GOPR0854_11_00-000022.png
We move files and organize them as GoPro/train_GT/GOPR0854_11_00/000022.jpg (similar to REDS).
:param dataset_path: dataset path
:return: None
'''
os.makedirs(os.path.join(dataset_path, f'{traintest}_GT'), exist_ok=True)
os.makedirs(os.path.join(dataset_path, f'{traintest}_GT_blurred'), exist_ok=True)
file_list = sorted(glob.glob(os.path.join(f'{dataset_path}/{traintest}', '*')))
for path in file_list:
name = os.path.basename(path)
print(name)
shutil.move(os.path.join(path, 'sharp'), os.path.join(f'{dataset_path}/{traintest}_GT', name))
shutil.move(os.path.join(path, 'blur'), os.path.join(f'{dataset_path}/{traintest}_GT_blurred', name))
shutil.rmtree(os.path.join(dataset_path, traintest))
def generate_meta_info_txt(data_path, meta_info_path):
'''generate meta_info_GoPro_GT.txt for GoPro
:param data_path: dataset path.
:return: None
'''
f= open(meta_info_path, "w+")
file_list = sorted(glob.glob(os.path.join(data_path, 'train_GT/*')))
total_frames = 0
for path in file_list:
name = os.path.basename(path)
frames = sorted(glob.glob(os.path.join(path, '*')))
start_frame = os.path.basename(frames[0]).split('.')[0]
print(name, len(frames), start_frame)
total_frames += len(frames)
f.write(f"{name} {len(frames)} (720,1280,3) {start_frame}\r\n")
assert total_frames == 2103, f'GoPro training set should have 2103 images, but got {total_frames} images'
if __name__ == '__main__':
dataset_path = 'trainsets/GoPro'
rearrange_dir_structure(dataset_path, 'train')
rearrange_dir_structure(dataset_path, 'test')
generate_meta_info_txt(dataset_path, 'data/meta_info/meta_info_GoPro_GT.txt')