Update RDD_2020.py

RDD_2020.py

@@ -81,69 +81,69 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "images_dir": os.path.join(data_dir, "train"),
-                    "annotations_dir": os.path.join(data_dir, "train", "annotations", "xmls"),
+                    "annotations_dir": os.path.join(data_dir, "train", "annotations"),
                     "split": "train",
                 },
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.TEST,
+                name="test1",
                 gen_kwargs={
                     "images_dir": os.path.join(data_dir, "test1"),
-                    "annotations_dir": os.path.join(data_dir, "test1", "annotations", "xmls"),
+                    "annotations_dir": None,  # No annotations for test1
                     "split": "test1",
                 },
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
+                name="test2",
                 gen_kwargs={
                     "images_dir": os.path.join(data_dir, "test2"),
-                    "annotations_dir": os.path.join(data_dir, "test2", "annotations", "xmls"),
+                    "annotations_dir": None,  # No annotations for test2
                     "split": "test2",
                 },
             ),
         ]
 
-      
-
     def _generate_examples(self, images_dir, annotations_dir, split):
         """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):
+        for country_dir in sorted(os.listdir(images_dir)):  # Sort to ensure consistent order
+            country_images_dir = os.path.join(images_dir, country_dir, "images")
+
+            # Check if we are in a test split without annotations
+            if annotations_dir is None:
+                country_annotations_dir = None
+            else:
+                country_annotations_dir = os.path.join(annotations_dir, country_dir, "xmls")
+
+            for image_file in sorted(os.listdir(country_images_dir)):  # Sort to ensure consistent order
                 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_id = f"{country_dir}_{image_file.split('.')[0]}"
                 image_path = os.path.join(country_images_dir, image_file)
-                crack_type = []
-                crack_coordinates = []
+                if country_annotations_dir:
+                    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()
+                    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)
+                else:
+                    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_dir != "India" else {"width": 720, "height": 720, "depth": 3}
-
+                image_resolution = {"width": 600, "height": 600, "depth": 3}
                 yield image_id, {
                     "image_id": image_id,
                     "country": country_dir,
@@ -153,4 +153,5 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
                     "crack_type": crack_type,
                     "crack_coordinates": crack_coordinates,
                 }
-
+    
+