modified patient id generation

SPIDER.py

@@ -328,9 +328,7 @@ class SPIDER(datasets.GeneratorBasedBuilder):
         ]
 
         # Generate train/validate/test partitions of patient IDs
-        patient_ids = np.unique([file.split('_')[0] for file in image_files])
-        print(f'Number of patients: {len(patient_ids)}')
-        
+        patient_ids = np.unique([file.split('_')[0] for file in image_files])        
         partition = np.random.choice(
             ['train', 'dev', 'test'],
             p=[train_share, validate_share, test_share],
@@ -341,13 +339,6 @@ class SPIDER(datasets.GeneratorBasedBuilder):
         test_ids = set(patient_ids[partition == 'test'])
         assert len(train_ids.union(validate_ids, test_ids)) == len(patient_ids)
 
-
-        print(f'# of training ids: {len(train_ids)}')
-        print(f'# of validation ids: {len(validate_ids)}')
-        print(f'# of testing ids: {len(test_ids)}')
-        
-        print(f'Length of image file list: {len(image_files)}')
-        
         # Subset train/validation/test partition images and mask files
         train_image_files = subset_file_list(image_files, train_ids)
         validate_image_files = subset_file_list(image_files, validate_ids)
@@ -361,12 +352,6 @@ class SPIDER(datasets.GeneratorBasedBuilder):
         assert len(validate_image_files) == len(validate_mask_files)
         assert len(test_image_files) == len(test_mask_files)
 
-        print(f'# of training images: {len(train_image_files)}')
-        print(f'# of validation images: {len(validate_image_files)}')
-        print(f'# of testing images: {len(test_image_files)}')
-        
-        print([x for x in image_files if x not in train_image_files + validate_image_files + test_image_files])
-
         # Import patient/scanner data and radiological gradings data
         overview_data = import_csv_data(paths_dict['overview'])
         grades_data = import_csv_data(paths_dict['gradings'])