Update mini_car_bikes_detection.py

mini_car_bikes_detection.py

@@ -77,29 +77,12 @@ class MiniCarBikesDetection(datasets.GeneratorBasedBuilder):
             ]
         
     def _generate_examples(self, image_files, annotations_file): 
-        # def process_annot(annot, category_id_to_category):
-            # labels = {}
-            # return{
-            #     "bbox": annot["bbox"],
-            #     "category": category_id_to_category[annot["name"]],                
-            # }
         with open(annotations_file) as jf:
             annotations = json.load(jf)
-        # labels = {"id":1, "name":'Car'}, {"id":2, "name":'bike'}
-        # category_id_to_category = {category["id"]: category["name"] for category in annotations["name"]}
-        # image_id_to_annotations = collections.defaultdict(list)
-            # id = []
         for image_file in image_files:
-            # objects = {
-            #     # "id": [],
-            #     "category": [],
-            #     "bbox": [],            
-            # }
             image_name = image_file[0].split("/")[1]
             for annotation in annotations:
                 if image_name == annotation["image"]:
-                    # objects["category"].append(annotation["name"])
-                    # objects["bbox"].append(float(n) for n in annotation["bbox"])
                     yield  image_file, {
                         "image": {"path": image_file[0], "bytes": image_file[1].read()},
                         "image_name": image_name,