shadow-dance
Copyright 2026 Myles Shetty

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

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THIRD-PARTY COMPONENTS — READ BEFORE REDISTRIBUTING
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The Apache-2.0 licence above covers the code in THIS repository only. It
does not and cannot relicense the third-party components this project
depends on, several of which are more restrictive:

  NVIDIA GR00T-WholeBodyControl / GEAR-SONIC
      Source code is Apache-2.0. Model checkpoints and derivative weights use the
      NVIDIA Open Model License. Distribution of a fine-tuned checkpoint or ONNX
      derivative must include that agreement and this notice:
      "Licensed by NVIDIA Corporation under the NVIDIA Open Model License."

  SMPL body model
      Relevant only if actual SMPL assets or data are added. The deadline plan uses
      SONIC's supported dummy-SMPL path. Review the applicable Max Planck terms
      before distributing any SMPL model files or SMPL-derived data.

  BONES-SEED (bones-studio/seed)
      Not part of the default deadline dataset. Its license limits eligibility,
      prohibits redistribution of the raw dataset, and requires specified public
      attribution. Do not use or distribute BONES data unless eligibility and the
      intended treatment of restricted inputs are confirmed.

      Challenge acknowledgement requested by the Ultimate Bots portal:
      "Motion Data by Bones Studio". This acknowledgement does not mean BONES-SEED
      motion was incorporated into shadow-dip-v1; it was not.

  NVIDIA Omniverse / Isaac Sim
      Governed by the NVIDIA Omniverse Licence Agreement, accepted at
      install time. Not redistributed here.

The committed `shadow-dip-v1` source trajectories are team-authored synthetic data; no
captured performance footage, BONES-SEED motion, or third-party dance video is included.
Before adding any new source, verify consent, ownership, retargeter terms, and every
asset listed in the dataset manifest.