init

backend/inpaint/lama/fetch_data/sampler.py

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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')      
+