Update hugging_face.py

hugging_face.py

@@ -72,6 +72,7 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+
         urls_to_download = {
             "dataset": "https://huggingface.co/datasets/ShixuanAn/RDD2020/resolve/main/RDD2020.zip"
         }
@@ -110,10 +111,11 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, base_path, split):
+        print(base_path)
         # Iterate over each country directory
         for country_dir in ['Czech', 'India', 'Japan']:
-            images_dir = f"{extracted_path}/{country_dir}/images"
-            annotations_dir = f"{extracted_path}/{country_dir}/annotations/xmls" if split == "train" else None
+            images_dir = f"{base_path}/{country_dir}/images"
+            annotations_dir = f"{base_path}/{country_dir}/annotations/xmls" if split == "train" else None
 
             # Iterate over each image in the country's image directory
             for image_file in os.listdir(images_dir):
@@ -155,50 +157,3 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
                     "crack_type": crack_type,
                     "crack_coordinates": crack_coordinates,
                 }
-    def _generate_examples(self, base_path, split):
-    # Iterate over each country directory
-        print(base_path)
-         for country_dir in ['Czech', 'India', 'Japan']:
-            images_dir = f"{base_path}/{country_dir}/images"
-            annotations_dir = f"{base_path}/{country_dir}/annotations/xmls" if split == "train" else None
-
-            for image_file in os.listdir(images_dir):
-                if image_file.endswith('.jpg'):
-                    image_id = f"{country_dir}_{image_file.split('.')[0]}"
-                    image_path = os.path.join(images_dir, image_file)
-
-                    # Initialize the lists to store the parsed data
-                    crack_types = []
-                    crack_coordinates = []
-
-                    if annotations_dir:
-                        annotation_file = image_id + '.xml'
-                        annotation_path = os.path.join(annotations_dir, annotation_file)
-                        if os.path.exists(annotation_path):
-                            # Parse the XML file
-                            tree = ET.parse(annotation_path)
-                            root = tree.getroot()
-
-                            # Extract the information
-                            for obj in root.findall('object'):
-                                crack_type = obj.find('name').text
-                                crack_types.append(crack_type)
-                                bndbox = obj.find('bndbox')
-                                coordinates = {
-                                    "x_min": int(bndbox.find('xmin').text),
-                                    "x_max": int(bndbox.find('xmax').text),
-                                    "y_min": int(bndbox.find('ymin').text),
-                                    "y_max": int(bndbox.find('ymax').text),
-                                }
-                                crack_coordinates.append(coordinates)
-  
-    
-                # Yield the example as a dictionary
-                    yield image_id, {
-                        "image_id": image_id,
-                        "country": country_dir,
-                        "type": split,
-                        "image_path": image_path,
-                        "crack_type": crack_types,
-                        "crack_coordinates": crack_coordinates,
-                    }