| 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') |
|
|
|
|
