Update Stomatal_Images_Datasets.py

Stomatal_Images_Datasets.py

@@ -88,43 +88,47 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         )]
     
 
-    # def _parse_yolo_labels(self, label_path, width, height):
-    #     annotations = []
-    #     with open(label_path, 'r') as file:
-    #         yolo_data = file.readlines()
-    
-    #     for line in yolo_data:
-    #         class_id, x_center_rel, y_center_rel, width_rel, height_rel = map(float, line.split())
-    #         x_min = (x_center_rel - width_rel / 2) * width
-    #         y_min = (y_center_rel - height_rel / 2) * height
-    #         x_max = (x_center_rel + width_rel / 2) * width
-    #         y_max = (y_center_rel + height_rel / 2) * height
-    #         annotations.append({
-    #             "category_id": int(class_id),
-    #             "bounding_box": {
-    #                 "x_min": x_min,
-    #                 "y_min": y_min,
-    #                 "x_max": x_max,
-    #                 "y_max": y_max
-    #             }
-    #         })
-    #     return annotations
-
-    def _parse_yolo_labels(self, label_path):
-        annotations = []
-        with open(label_path, 'r') as file:
-            yolo_data = file.readlines()
+   
+
+        
+     # def _parse_yolo_labels(self, label_path, width, height):
+     #    annotations = []
+     #    with open(label_path, 'r') as file:
+     #        yolo_data = file.readlines()
     
-        for line in yolo_data:
-            class_id, x_center_rel, y_center_rel, width_rel, height_rel = map(float, line.split())
-            annotations.append({
-                "category_id": int(class_id),
-                "x_center_rel": x_center_rel,
-                "y_center_rel": y_center_rel,
-                "width_rel": width_rel,
-                "height_rel": height_rel,
-            })
-        return annotations
+     #    for line in yolo_data:
+     #        class_id, x_center_rel, y_center_rel, width_rel, height_rel = map(float, line.split())
+     #        x_min = (x_center_rel - width_rel / 2) * width
+     #        y_min = (y_center_rel - height_rel / 2) * height
+     #        x_max = (x_center_rel + width_rel / 2) * width
+     #        y_max = (y_center_rel + height_rel / 2) * height
+     #        annotations.append({
+     #            "category_id": int(class_id),
+     #            "bounding_box": {
+     #                "x_min": x_min,
+     #                "y_min": y_min,
+     #                "x_max": x_max,
+     #                "y_max": y_max
+     #            }
+     #        })
+     #    return annotations
+
+    def _parse_yolo_labels(self, label_path, width, height):
+    annotations = []
+    with open(label_path, 'r') as file:
+        yolo_data = file.readlines()
+
+    for line in yolo_data:
+        class_id, x_center_rel, y_center_rel, width_rel, height_rel = map(float, line.split())
+        annotations.append({
+            "category_id": int(class_id),
+            "x_center_rel": x_center_rel,
+            "y_center_rel": y_center_rel,
+            "width_rel": width_rel,
+            "height_rel": height_rel,
+        })
+    return annotations
+
 
     
     def _generate_examples(self, filepaths, species_info, data_dir):
@@ -151,7 +155,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 width = 1024 
                 height = 768   
             
-            annotations = self._parse_yolo_labels(label_path)
+            annotations = self._parse_yolo_labels(label_path, width, height)
             
             # Yield the dataset example
             yield image_id, {