Publish PredActor evaluation artifacts
Browse files- README.md +82 -0
- SHA256SUMS +2 -0
- checkpoints/motionclip/g1-model-xyz-clip/checkpoint_0100.pth.tar +3 -0
- checkpoints/predactor/pdp051/latest.ckpt +3 -0
- dataset/README.md +4 -0
README.md
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---
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license: other
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library_name: pytorch
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tags:
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- robotics
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- humanoid
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- unitree-g1
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- diffusion-policy
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- mujoco
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- motionclip
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---
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# PredActor Artifacts
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Official evaluation artifacts for
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[PredActor](https://github.com/MasterYip/PredActor), a predictive action
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diffusion controller for steerable Unitree G1 locomotion.
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This repository contains only the two learned artifacts required by the public
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MuJoCo evaluation path. Source code and robot assets live in the PredActor code
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repository; datasets, experiment outputs, deployment bundles, and additional
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checkpoints are not included here.
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## Repository layout
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```text
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PredActor_Artifacts/
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βββ README.md
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βββ SHA256SUMS
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βββ checkpoints/
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β βββ predactor/
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β β βββ pdp051/
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β β βββ latest.ckpt
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β βββ motionclip/
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β βββ g1-model-xyz-clip/
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β βββ checkpoint_0100.pth.tar
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βββ dataset/
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βββ README.md
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```
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`dataset/` is reserved for future public datasets and currently contains no
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dataset payloads.
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| Artifact | Size | SHA-256 |
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|---|---:|---|
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| PredActor PDP051 policy | 49,212,894 bytes | `2d963b32786f2989c6472726df9fcfe6b385590127e12e1f549a4b7d77488b2e` |
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| G1 MotionCLIP encoder | 542,749,069 bytes | `66a127df4958b346089b2020f2705c7456d9db0ee8b4bd9518608b708b35fc3c` |
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`SHA256SUMS` provides the same identities in a format accepted by
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`sha256sum --check`.
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## Download
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From a clone of the PredActor code repository:
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```bash
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python -m pip install huggingface_hub pyyaml
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python scripts/hf_artifacts.py download
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```
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The default destination is a sibling `PredActor_Artifacts/` directory, keeping
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learned weights outside the Git checkout. To choose another location:
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```bash
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python scripts/hf_artifacts.py --local-root /absolute/artifact/path download
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```
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The downloader verifies byte size and SHA-256 before reporting success.
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## Evaluation
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Pass the downloaded paths to `PredActor/predactor_eval.py` together with the
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hashes above. The evaluator intentionally refuses learned weights stored inside
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the source checkout.
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## Scope and terms
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These checkpoints are provided for research evaluation. The repository uses
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`license: other` because the artifacts and their transitive components do not
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share one standalone license grant. Users are responsible for complying with
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the terms of the PredActor source, MotionCLIP/OpenAI CLIP dependencies, Unitree
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assets, and any applicable third-party software.
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SHA256SUMS
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2d963b32786f2989c6472726df9fcfe6b385590127e12e1f549a4b7d77488b2e checkpoints/predactor/pdp051/latest.ckpt
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66a127df4958b346089b2020f2705c7456d9db0ee8b4bd9518608b708b35fc3c checkpoints/motionclip/g1-model-xyz-clip/checkpoint_0100.pth.tar
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checkpoints/motionclip/g1-model-xyz-clip/checkpoint_0100.pth.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:66a127df4958b346089b2020f2705c7456d9db0ee8b4bd9518608b708b35fc3c
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size 542749069
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checkpoints/predactor/pdp051/latest.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d963b32786f2989c6472726df9fcfe6b385590127e12e1f549a4b7d77488b2e
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size 49212894
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dataset/README.md
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# Datasets
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This directory is reserved for future PredActor dataset releases. No dataset
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payloads are published in the current artifact release.
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