Initial snapshot: hand motion pipeline (Dyn-HaMR + dex-retargeting + SPIDER)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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# HandFlow inference configuration
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# Shared by scripts/demo.py
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model_yaml: configs/model.yaml
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# The denoiser requires window_size (only this field; other dataset fields are eval-only and omitted)
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dataset:
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window_size: 16
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inference:
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ode_steps: 3
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overlap_size: 8
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overlap_method: vblend # avg | vblend
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window_size: 16
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conf_threshold: 0.1 # HaMeR confidence threshold
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# MANO model directory (environment variable, see README; overridable by run-script CLI args)
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eval:
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mano_root: ${oc.env:MANO_ROOT}
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# fm_ckpt is passed via the run script's --fm_ckpt CLI arg (specified per inference)
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