fix: load script

dogs-video-object-tracking-dataset.py

@@ -32,9 +32,9 @@ _LABELS = ["dog"]
 
 class DogsVideoObjectTrackingDataset(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="video_01", data_dir=f"{_DATA}"),
-        datasets.BuilderConfig(name="video_02", data_dir=f"{_DATA}"),
-        datasets.BuilderConfig(name="video_03", data_dir=f"{_DATA}"),
+        datasets.BuilderConfig(name="video_01", data_dir=f"{_DATA}video_01.zip"),
+        datasets.BuilderConfig(name="video_02", data_dir=f"{_DATA}video_02.zip"),
+        datasets.BuilderConfig(name="video_03", data_dir=f"{_DATA}video_03.zip"),
     ]
 
     DEFAULT_CONFIG_NAME = "video_01"
@@ -79,17 +79,12 @@ class DogsVideoObjectTrackingDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        images = dl_manager.download_and_extract(
-            f"{self.config.data_dir}{self.config.name}.zip"
-        )
-        annotations = dl_manager.download(f"{_DATA}{self.config.name}.xml")
-        # images = dl_manager.iter_files(images)
+        data = dl_manager.download_and_extract(self.config.data_dir)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "images": images,
-                    "annotations": annotations,
+                    "data": data,
                 },
             ),
         ]
@@ -103,7 +98,8 @@ class DogsVideoObjectTrackingDataset(datasets.GeneratorBasedBuilder):
         img.set("id", str(index))
         for track in root.iter("track"):
             shape = track.find(f".//*[@frame='{index}']")
-            if shape:
+            if not (shape is None):
+
                 shape.set("label", track.get("label"))
                 shape.set("track_id", track.get("id"))
                 img.append(shape)
@@ -154,21 +150,22 @@ class DogsVideoObjectTrackingDataset(datasets.GeneratorBasedBuilder):
 
         return shape_data
 
-    def _generate_examples(self, images, annotations):
-        tree = ET.parse(annotations)
+    def _generate_examples(self, data):
+        tree = ET.parse(f"{data}/annotations.xml")
         root = tree.getroot()
 
-        for idx, file in enumerate(sorted(os.listdir(f"{images}/images"))):
+        for idx, file in enumerate(sorted(os.listdir(f"{data}/images"))):
             img = self.extract_shapes_from_tracks(root, file, idx)
 
             image_id = img.get("id")
             name = img.get("name")
             shapes = [self.parse_shape(shape) for shape in img]
+            print(shapes)
 
             yield idx, {
                 "id": image_id,
                 "name": name,
-                "image": f"{images}/images/{file}",
-                "mask": f"{images}/masks/{file}",
+                "image": f"{data}/images/{file}",
+                "mask": f"{data}/masks/{file}",
                 "shapes": shapes,
             }