usyd-community/vitpose-plus-huge
usyd-community/vitpose-plus-huge is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Likely commercial-friendly
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →More keypoint-detection models
usyd-community/vitpose-plus-base
usyd-community/vitpose-plus-base is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
usyd-community/vitpose-plus-small
usyd-community/vitpose-plus-small is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
usyd-community/vitpose-plus-large
usyd-community/vitpose-plus-large is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
usyd-community/vitpose-plus-huge
usyd-community/vitpose-plus-huge is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ETH-CVG/lightglue_superpoint
ETH-CVG/lightglue_superpoint is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
akore/rtmw-l-256x192
akore/rtmw-l-256x192 is a keypoint detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.