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WaterFlowCountersRecognition.py

@@ -1,5 +1,6 @@
 import json
 import os
+import collections
 
 import datasets
 
@@ -21,13 +22,13 @@ _REGION_NAME = ['value_a', 'value_b', 'serial']
 
 _REGION_ROTETION = ['0', '90', '180', '270']
 
-
+_ANNOTATIONS_PATH = "WaterFlowCounter.json"
 
 
 class WaterFlowCounterConfig(datasets.BuilderConfig):
     """Builder Config for WaterFlowCounter"""
 
-    def __init__(self, data_url, metadata_url, **kwargs):
+    def __init__(self, data_url, **kwargs):
         """BuilderConfig for WaterFlowCounter.
         Args:
           data_url: `string`, url to download the photos.
@@ -36,7 +37,7 @@ class WaterFlowCounterConfig(datasets.BuilderConfig):
         """
         super(WaterFlowCounterConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
         self.data_url = data_url
-        self.metadata_url = metadata_url
+        
 
 
 class WaterFlowCounter(datasets.GeneratorBasedBuilder):
@@ -47,10 +48,10 @@ 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 = "https://huggingface.co/datasets/SIA86/WaterFlowCountersRecognition/blob/main/WaterFlowCounter.json"
+            
         )
     ]
 
@@ -78,26 +79,25 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         data_files = dl_manager.download_and_extract(self.config.data_url)
-        metadata_files = dl_manager.download_and_extract(self.config.metadata_url)
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "folder_dir": data_files["train"],
-                    "metadata_path": metadata_files,
+                    
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "folder_dir": data_files["test"],
-                    "metadata_path": metadata_files,
+                    
                 },
             )
         ]
 
-    def generate_examples(self, folder_dir, metadata_path):
+    def _generate_examples(self, folder_dir):
         name_to_id = {}
         rotation_to_id = {}
 
@@ -108,27 +108,36 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
             rotation_to_id[name] = indx
 
         
-        with open(metadata_path, "r") as f:
+        with open(_ANNOTATIONS_PATH, "r", encoding='utf-8') as f:
             annotations = json.load(f)
+        
+        #print(annotations['_via_image_id_list'][0:5])
 
         for file in os.listdir(folder_dir):
             filepath = os.path.join(folder_dir, file)
-
+            #print(filepath)
             with open(filepath, "rb") as f:
                 image_bytes = f.read()
-
+            #print(image_bytes)
+            idx = 0
             all_x = []
             all_y = []
             names = []
             
             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'])
                         names.append(name_to_id[list(region['region_attributes']['name'].keys())[0]])
-                        rotated = rotation_to_id[list(region['region_attributes']['rotated'].keys())[0]]
-
+                        try:
+                            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},
                         "regions": {