Skip test_visualize_local_dataset

lerobot/scripts/visualize_dataset.py

@@ -100,7 +100,7 @@ def to_hwc_uint8_numpy(chw_float32_torch: torch.Tensor) -> np.ndarray:
 
 
 def visualize_dataset(
-    repo_id: str,
+    dataset: LeRobotDataset,
     episode_index: int,
     batch_size: int = 32,
     num_workers: int = 0,
@@ -108,7 +108,6 @@ def visualize_dataset(
     web_port: int = 9090,
     ws_port: int = 9087,
     save: bool = False,
-    root: Path | None = None,
     output_dir: Path | None = None,
 ) -> Path | None:
     if save:
@@ -116,8 +115,7 @@ def visualize_dataset(
             output_dir is not None
         ), "Set an output directory where to write .rrd files with `--output-dir path/to/directory`."
 
-    logging.info("Loading dataset")
-    dataset = LeRobotDataset(repo_id, root=root)
+    repo_id = dataset.repo_id
 
     logging.info("Loading dataloader")
     episode_sampler = EpisodeSampler(dataset, episode_index)
@@ -268,7 +266,14 @@ def main():
     )
 
     args = parser.parse_args()
-    visualize_dataset(**vars(args))
+    kwargs = vars(args)
+    repo_id = kwargs.pop("repo_id")
+    root = kwargs.pop("root")
+
+    logging.info("Loading dataset")
+    dataset = LeRobotDataset(repo_id, root=root, local_files_only=True)
+
+    visualize_dataset(dataset, **vars(args))
 
 
 if __name__ == "__main__":

tests/test_visualize_dataset.py

@@ -13,25 +13,21 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from pathlib import Path
-
 import pytest
 
 from lerobot.scripts.visualize_dataset import visualize_dataset
 
 
-@pytest.mark.parametrize(
-    "repo_id",
-    ["lerobot/pusht"],
-)
-@pytest.mark.parametrize("root", [Path(__file__).parent / "data"])
-def test_visualize_local_dataset(tmpdir, repo_id, root):
+@pytest.mark.skip("TODO: add dummy videos")
+def test_visualize_local_dataset(tmp_path, lerobot_dataset_factory):
+    root = tmp_path / "dataset"
+    output_dir = tmp_path / "outputs"
+    dataset = lerobot_dataset_factory(root=root)
     rrd_path = visualize_dataset(
-        repo_id,
+        dataset,
         episode_index=0,
         batch_size=32,
         save=True,
-        output_dir=tmpdir,
-        root=root,
+        output_dir=output_dir,
     )
     assert rrd_path.exists()