Upload WaterFlowCountersRecognition.py

WaterFlowCountersRecognition.py

@@ -22,13 +22,13 @@ _REGION_NAME = ['value_a', 'value_b', 'serial']
 
 _REGION_ROTETION = ['0', '90', '180', '270']
 
-_ANNOTATION_FILENAME = '_annotations.json'
+
 
 
 class WaterFlowCounterConfig(datasets.BuilderConfig):
     """Builder Config for WaterFlowCounter"""
 
-    def __init__(self, data_url, **kwargs):
+    def __init__(self, data_url, metadata_urls, **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_urls = metadata_urls
 
 
 class WaterFlowCounter(datasets.GeneratorBasedBuilder):
@@ -50,6 +51,7 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
                 "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 = "https://huggingface.co/datasets/SIA86/WaterFlowCountersRecognition/blob/main/WaterFlowCounter.json"
         )
     ]
 
@@ -77,22 +79,26 @@ 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):
+    def generate_examples(self, folder_dir, metadata_path):
         name_to_id = {}
         rotation_to_id = {}
 
@@ -102,8 +108,8 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
         for indx, name in enumerate(_REGION_ROTETION):
             rotation_to_id[name] = indx
 
-        annotation_filepath = os.path.join(folder_dir, _ANNOTATION_FILENAME)
-        with open(annotation_filepath, "r") as f:
+        
+        with open(metadata_path, "r") as f:
             annotations = json.load(f)
 
         for file in os.listdir(folder_dir):