google-deepmind / google-deepmind/tapnet
License of the TAPNext++ checkpoint files appears unstated
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Description
Thank you for releasing TAPNext++ — the online tracking and re-detection
behavior is very impressive.
We are evaluating the released checkpoints for use in a downstream project
and could not find a license statement that covers the checkpoint files
themselves:
- `https://storage.googleapis.com/dm-tapnet/tapnextpp/tapnextpp_ckpt.pt`
(linked from `tapnet/tapnextpp/README.md`)
- `https://storage.googleapis.com/gresearch/tapnextpp/tapnextpp_512.ckpt`
(linked from `tapnet/tapnextpp/votsp2026/README.md`)
Places we checked:
- The repository `LICENSE` and the README's "License and Disclaimer"
section: they cover the software (Apache 2.0) and the TAP-Vid
non-software materials (TAP-Vid annotations, RGB-Stacking and RoboTAP
videos — CC-BY 4.0), but we observed no statement covering released
model checkpoints.
- `tapnet/tapnextpp/README.md` and
`tapnet/tapnextpp/votsp2026/README.md`: download instructions only, no
license statement for the weights.
- The TAPNext++ project page: no license statement for the weights.
- The GCS object metadata for both files: no license metadata.
- The HuggingFace mirror https://huggingface.co/google/tapnet: tagged
`apache-2.0` and contains TAPIR / BootsTAPIR / BootsTAPNext
checkpoints, but the TAPNext++ files are not included there.
Could you clarify whether the TAPNext++ checkpoints are released under
Apache 2.0 like the code (and like the checkpoints mirrored on the
HuggingFace repo), or under different terms? A one-line statement in
`tapnet/tapnextpp/README.md` — or adding the files to the HuggingFace
repo where the license tag applies — would resolve the ambiguity for
downstream users.
Thanks!
Contributor guide
Research direction
Read tapnet/tapnextpp/README.md, tapnet/tapnextpp/votsp2026/README.md, and the repository LICENSE, then compare the stated terms with the two checkpoint download links. Confirm the applicable checkpoint license with the maintainers; done means both README guidance and the downstream usage terms are unambiguous.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, machine-learning
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100