Update RDD_2020.py

RDD_2020.py

@@ -75,81 +75,83 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        """This method downloads/extracts the data and defines the splits."""
-        data_dir = dl_manager.download_and_extract(_URLS["dataset"])
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "images_dir": os.path.join(data_dir, "train"),
-                    "annotations_dir": os.path.join(data_dir, "train", "annotations"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="test1",
-                gen_kwargs={
-                    "images_dir": os.path.join(data_dir, "test1"),
-                    "annotations_dir": os.path.join(data_dir, "test1", "annotations"),
-                    "split": "test1",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="test2",
-                gen_kwargs={
-                    "images_dir": os.path.join(data_dir, "test2"),
-                    "annotations_dir": os.path.join(data_dir, "test2", "annotations"),
-                    "split": "test2",
-                },
-            ),
-        ]
+    data_dir = dl_manager.download_and_extract(_URLS["dataset"])
+    return [
+        datasets.SplitGenerator(
+            name=datasets.Split.TRAIN,
+            gen_kwargs={
+                "images_dir": os.path.join(data_dir, "train"),
+                "annotations_dir": os.path.join(data_dir, "train", "annotations", "xmls"),
+                "split": "train",
+            },
+        ),
+        datasets.SplitGenerator(
+            name=datasets.Split.TEST,
+            gen_kwargs={
+                "images_dir": os.path.join(data_dir, "test1"),
+                "annotations_dir": os.path.join(data_dir, "test1", "annotations", "xmls"),
+                "split": "test1",
+            },
+        ),
+        datasets.SplitGenerator(
+            name=datasets.Split.VALIDATION,
+            gen_kwargs={
+                "images_dir": os.path.join(data_dir, "test2"),
+                "annotations_dir": os.path.join(data_dir, "test2", "annotations", "xmls"),
+                "split": "test2",
+            },
+        ),
+    ]
 
       
 
     def _generate_examples(self, images_dir, annotations_dir, split):
-        """Yields examples as (key, example) tuples."""
-        for image_file in os.listdir(images_dir):
-            if not image_file.endswith('.jpg'):
-                continue
-            image_id = image_file.split('.')[0]
-            annotation_file = image_id + '.xml'
-            annotation_path = os.path.join(annotations_dir, annotation_file)
-
-            if not os.path.exists(annotation_path):
-                continue
-
-            tree = ET.parse(annotation_path)
-            root = tree.getroot()
-
-            country = split.capitalize()
-            image_path = os.path.join(images_dir, image_file)
-            crack_type = []
-            crack_coordinates = []
-
-            for obj in root.findall('object'):
-                crack_type.append(obj.find('name').text)
-                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)
+    """Yields examples as (key, example) tuples."""
+    
+    # Loop over each country directory in the images_dir
+        for country_dir in os.listdir(images_dir):
+            country_images_dir = os.path.join(images_dir, country_dir)
+            country_annotations_dir = os.path.join(annotations_dir, country_dir, "xmls")
+        
+        # Now loop over each image in the country's image directory
+            for image_file in os.listdir(country_images_dir):
+                if not image_file.endswith('.jpg'):
+                    continue
+                image_id = image_file.split('.')[0]
+                annotation_file = image_id + '.xml'
+                annotation_path = os.path.join(country_annotations_dir, annotation_file)
+
+                if not os.path.exists(annotation_path):
+                    continue
+
+                tree = ET.parse(annotation_path)
+                root = tree.getroot()
+
+                image_path = os.path.join(country_images_dir, image_file)
+                crack_type = []
+                crack_coordinates = []
+
+                for obj in root.findall('object'):
+                    crack_type.append(obj.find('name').text)
+                    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)
 
             # Assuming images are of uniform size, you might want to adjust this or extract from image directly
-            image_resolution = {"width": 600, "height": 600, "depth": 3} if country != "India" else {"width": 720,
-                                                                                                     "height": 720,
-                                                                                                    "depth": 3}
-            yield image_id, {
-                "image_id": image_id,
-                "country": country,
-                "type": split,
-                "image_resolution": image_resolution,
-                "image_path": image_path,
-                "crack_type": crack_type,
-                "crack_coordinates": crack_coordinates,
-            }
-
+                image_resolution = {"width": 600, "height": 600, "depth": 3} if country_dir != "India" else {"width": 720, "height": 720, "depth": 3}
+
+                yield image_id, {
+                    "image_id": image_id,
+                    "country": country_dir,
+                    "type": split,
+                    "image_resolution": image_resolution,
+                    "image_path": image_path,
+                    "crack_type": crack_type,
+                    "crack_coordinates": crack_coordinates,
+                }