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tx_slam_tag is used to convert camera in the SLAM frame to the aruco tag frame.
# SLAM map origin to table tag transform
if tx_slam_tag is None:
path = demos_dir.joinpath('mapping', 'tx_slam_tag.json')
assert path.is_file()
tx_slam_tag = str(path)
tx_slam_tag = np.array(json.load(
open(os.path.expanduser(tx_slam_tag), 'r')
)['tx_slam_tag']
)
Question: Can we have the tx_slam_tag.json file for data in https://real.stanford.edu/umi/data/zarr_datasets/cup_in_the_wild.zarr.zip?
It is easier to use data defined in the SLAM frame so that
(1) I can convert the data to other frames
(2) run models from codebase that uses a different frame.
Thank you!
The text was updated successfully, but these errors were encountered:
@zhenjia-xu
Hi Zhenjia, I am wondering if it would be possible to share the original raw GoPro videos of the 1447-trajectories dataset used in the UMI generalization experiment?
Thank you so much for helping.
Hi UMI authors,
In
universal_manipulation_interface/scripts_slam_pipeline/06_generate_dataset_plan.py
Line 110 in 298776c
tx_slam_tag
is used to convert camera in the SLAM frame to the aruco tag frame.Question: Can we have the
tx_slam_tag.json
file for data inhttps://real.stanford.edu/umi/data/zarr_datasets/cup_in_the_wild.zarr.zip
?It is easier to use data defined in the SLAM frame so that
(1) I can convert the data to other frames
(2) run models from codebase that uses a different frame.
Thank you!
The text was updated successfully, but these errors were encountered: