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import os
import random
test_files_path = os.path.abspath('.') + '/places_standard_dataset/original/test/'
list_of_random_test_files = os.path.abspath('.') + '/places_standard_dataset/original/test_random_files.txt'
test_files = [
test_files_path + image for image in os.listdir(test_files_path)
]
print(f'Sampling 2000 images out of {len(test_files)} images in {test_files_path}' + \
f'and put their paths to {list_of_random_test_files}')
print('Our training procedure will pick best checkpoints according to metrics, computed on these images.')
random.shuffle(test_files)
test_files_random = test_files[0:2000]
with open(list_of_random_test_files, 'w') as fw:
for filename in test_files_random:
fw.write(filename+'\n')
print('...done')
# --------------------------------
val_files_path = os.path.abspath('.') + '/places_standard_dataset/original/val/'
list_of_random_val_files = os.path.abspath('.') + '/places_standard_dataset/original/val_random_files.txt'
val_files = [
val_files_path + image for image in os.listdir(val_files_path)
]
print(f'Sampling 100 images out of {len(val_files)} in {val_files_path} ' + \
f'and put their paths to {list_of_random_val_files}')
print('We use these images for visual check up of evolution of inpainting algorithm epoch to epoch' )
random.shuffle(val_files)
val_files_random = val_files[0:100]
with open(list_of_random_val_files, 'w') as fw:
for filename in val_files_random:
fw.write(filename+'\n')
print('...done')
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