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CAIR-HKISI/SurgMotion-Agent-Prototype
SurgMotion-Agent-Prototype is a machine learning model from CAIR-HKISI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for surgmotion. The card lists the license as mit.
Frozen phase-prototype memories, offline feature bundles, and the SurgMotion-ONNX encoder for the SurgMotion doctor-demo agent.
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Updated Jun 24, 2026
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.npz856 MB · 89%
From the Hugging Face model README
Frozen phase-prototype memories, offline feature bundles, and the SurgMotion-ONNX encoder for the SurgMotion doctor-demo agent.
manifest.json # onboard URLs + checksums (source of truth)
models/SurgMotion-ONNX/ # ViT-S/16 ONNX encoder (384-d patch tokens)
prototypes/<dataset>/surgmotion_vits/ # frozen phase prototype memory (npz + yaml)
features/<dataset>_surgmotion_vits_64f/ # optional offline 64-frame feature runs
Supported datasets in this bundle: Cholec80, PitVis.
Older uploads used dinov3_vits in path names. Those objects may still exist for backward compatibility; new deployments should use surgmotion_vits paths listed in manifest.json.
| Legacy path | Canonical replacement |
|---|---|
prototypes/<dataset>/dinov3_vits/ | prototypes/<dataset>/surgmotion_vits/ |
features/<dataset>_dinov3_vits_64f/ | features/<dataset>_surgmotion_vits_64f/ |
SurgMotion does not claim ownership of underlying ViT weights. The ONNX bundle is derived from publicly available exports; see models/SurgMotion-ONNX/README.md for upstream repository references and license notes.
Agent demos download assets via manifest.json (see demo/scripts/bootstrap_agent_demo.py or OpenCode onboard skill surgical-video-prototype-onboard).
export HF_TOKEN=hf_...
python demo/scripts/bootstrap_agent_demo.py
Maintainers refresh uploads with:
python demo/scripts/upload_agent_assets_to_hf.py --upload --update-skill