Update RDD_2020.py

RDD_2020.py

@@ -116,56 +116,50 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
 
 
     def _generate_examples(self, filepath, split):
-        
-        # Iterate over each country directory
         for country_dir in ['Czech', 'India', 'Japan']:
             images_dir = f"{filepath}/{country_dir}/images"
-            
-          #  print(os.listdir(filepath))
-          # print(os.listdir(filepath))
-          #  print(os.listdir(f"{filepath}/{country_dir}"))
-            
             annotations_dir = f"{filepath}/{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):
                 if not image_file.endswith('.jpg'):
                     continue
-
+    
                 image_id = f"{image_file.split('.')[0]}"
-            
                 image_path = os.path.join(images_dir, image_file)
-              #  img = Image.open(image_path)
-                
-                if annotations_dir:
-                    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()
-                    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 = []
-
-                yield image_id, {
-                    "image_id": image_id,
-                    "country": country_dir,
-                    "type": split,
-                    "image_path": image_path,
-                   # "image": img,
-                    "crack_type": crack_type,
-                    "crack_coordinates": crack_coordinates,
-                }
+    
+                # Load the image as a PIL Image object
+                with Image.open(image_path) as img:
+                    # If you need to process the image, do it here
+    
+                    if annotations_dir:
+                        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()
+                        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 = []
+    
+                    # Now 'img' is a PIL Image object, we keep it open and yield it
+                    yield image_id, {
+                        "image_id": image_id,
+                        "country": country_dir,
+                        "type": split,
+                        "image": img.copy(),  # We make a copy of the image object
+                        "crack_type": crack_type,
+                        "crack_coordinates": crack_coordinates,
+                    }