fix

data/{video_01.tar.gz → video_01.zip}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:814b3aaed4228cf6a54b29439d425248e0ec8e4d310175847f6294d996327070
-size 313757043
+oid sha256:aa66f1ca69d86721d2755418cb5e3fcae0373153ed3d08d6b5732292ab8cd570
+size 313326516

data/{video_02.tar.gz → video_02.zip}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50dd682522f7ee114ee195a3581a4d785df66b23226c6b62efdb221ecc02c83c
-size 67433213
+oid sha256:8a6fb91a59bfc52dcfcf09c34f0be7bb9c0ef12831dddf9295c1b0a08f035189
+size 67352135

data/{video_03.tar.gz → video_03.zip}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9ae608a233011b15db93c60ce60c0c7224ab6cd8320e81b5794c8695a0416af0
-size 148624216
+oid sha256:41936b8eb682c988547eb5c05e7152bd9c2bbc1d486ea0c33cd24449171f6d11
+size 148410663

dogs-video-object-tracking-dataset.py

@@ -79,9 +79,9 @@ class DogsVideoObjectTrackingDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data = dl_manager.download(f"{_DATA}{self.config.name}.tar.gz")
+        data = dl_manager.download_and_extract(f"{_DATA}{self.config.name}.zip")
         annotations = dl_manager.download(f"{_DATA}{self.config.name}.xml")
-        data = dl_manager.iter_archive(data)
+        data = dl_manager.iter_files(data)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -156,14 +156,11 @@ class DogsVideoObjectTrackingDataset(datasets.GeneratorBasedBuilder):
         tree = ET.parse(annotations)
         root = tree.getroot()
 
-        for idx, (image_path, image) in enumerate(data):
-            try:
-                raise Exception
-            except:
-                print(image_path)
+        for idx, image_path in enumerate(data):
             if "images" in image_path:
                 i = image_path.split("_")[-1][:2]
-                img = self.extract_shapes_from_tracks(root, image_path, i)
+                image_name = image_path.split("/")[3]
+                img = self.extract_shapes_from_tracks(root, image_name, i)
 
                 image_id = img.get("id")
                 name = img.get("name")
@@ -172,7 +169,7 @@ class DogsVideoObjectTrackingDataset(datasets.GeneratorBasedBuilder):
                 yield idx, {
                     "id": image_id,
                     "name": name,
-                    "image": {"path": image_path, "bytes": image.read()},
+                    "image": image_path,
                     "mask": f"{image_path.replace('images', 'boxes')}",
                     "shapes": shapes,
                 }