Update WaterFlowCountersRecognition.py

WaterFlowCountersRecognition.py

@@ -1,6 +1,5 @@
 import json
 import os
-import collections
 
 import datasets
 
@@ -49,11 +48,11 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
             name="WFCR_full",
             description="Full dataset which contains coordinates and names of regions and information about rotation",
             data_url={
-                "train": "https://huggingface.co/datasets/SIA86/WaterFlowCountersRecognition/blob/main/data/train_photos.zip",
-                "test": "https://huggingface.co/datasets/SIA86/WaterFlowCountersRecognition/blob/main/data/test_photos.zip",
+                "train": "data/train_photos.zip",
+                "test": "data/test_photos.zip",
             },
             metadata_url={
-                'full': "https://huggingface.co/datasets/SIA86/WaterFlowCountersRecognition/blob/main/WaterFlowCounter.json"
+                'full': "data/WaterFlowCounter.json"
             }
         )
     ]
@@ -131,7 +130,7 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
             for el in annotations['_via_img_metadata']:
                 
                 if annotations['_via_img_metadata'][el]['filename'] == file:
-                    print(f'\n***********{el}***************')
+                    
                     for region in annotations['_via_img_metadata'][el]['regions']:
                         all_x.append(region['shape_attributes']['all_points_x'])
                         all_y.append(region['shape_attributes']['all_points_y'])
@@ -140,7 +139,7 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
                             rotated = [rotation_to_id[list(region['region_attributes']['rotated'].keys())[0]]]
                         except:
                             rotated = [int(region['region_attributes']['rotated'])]
-                        print(f'****{names, rotated}******')
+                        
                     
                     yield idx, {       
                         "image": {"path": filepath, "bytes": image_bytes},