init

backend/inpaint/lama/fetch_data/eval_sampler.py

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+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')      
+