| import os | |
| import random | |
| val_files_path = os.path.abspath('.') + '/places_standard_dataset/original/val/' | |
| list_of_random_val_files = os.path.abspath('.') + '/places_standard_dataset/original/eval_random_files.txt' | |
| val_files = [val_files_path + image for image in os.listdir(val_files_path)] | |
| print(f'Sampling 30000 images out of {len(val_files)} images in {val_files_path}' + \ | |
| f'and put their paths to {list_of_random_val_files}') | |
| print('In our paper we evaluate trained models on these 30k sampled (mask,image) pairs in our paper (check Sup. mat.)') | |
| random.shuffle(val_files) | |
| val_files_random = val_files[0:30000] | |
| with open(list_of_random_val_files, 'w') as fw: | |
| for filename in val_files_random: | |
| fw.write(filename+'\n') | |
| print('...done') | |