Update WaterFlowCountersRecognition.py

WaterFlowCountersRecognition.py

@@ -22,13 +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, **kwargs):
+    def __init__(self, data_url, metadata_url, **kwargs):
         """BuilderConfig for WaterFlowCounter.
         Args:
           data_url: `string`, url to download the photos.
@@ -37,6 +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
         
 
 
@@ -48,10 +49,12 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
             name="WFCR_full",
             description="Full dataset which contains coordinates and names of regions and information about rotation",
             data_url={
-                "train": "data/train_photos.zip",
-                "test": "data/test_photos.zip",
+                "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",
             },
-            
+            metadata_url={
+                'full': "https://huggingface.co/datasets/SIA86/WaterFlowCountersRecognition/blob/main/WaterFlowCounter.json
+            }
         )
     ]
 
@@ -79,25 +82,26 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         data_files = dl_manager.download_and_extract(self.config.data_url)
+        meta_file = dl_manager.download(self.config.metadata_url)
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "folder_dir": data_files["train"],
-                    
+                    "metadata_path": meta_file['full']
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "folder_dir": data_files["test"],
-                    
+                    "metadata_path": meta_file['full']
                 },
             )
         ]
 
-    def _generate_examples(self, folder_dir):
+    def _generate_examples(self, folder_dir, metadata_path):
         name_to_id = {}
         rotation_to_id = {}
 
@@ -108,7 +112,7 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
             rotation_to_id[name] = indx
 
         
-        with open(_ANNOTATIONS_PATH, "r", encoding='utf-8') as f:
+        with open(metadata_path, "r", encoding='utf-8') as f:
             annotations = json.load(f)
         
         #print(annotations['_via_image_id_list'][0:5])