Initial snapshot: hand motion pipeline (Dyn-HaMR + dex-retargeting + SPIDER)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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model:
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fm:
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beta_dim: 10
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pose_dim: 48 # global_aa(3) + joints_aa(45), directly regressed per frame
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trans_dim: 3 # translation, directly regressed
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normalization_stats: ${oc.env:HANDFLOW_NORMALIZATION_STATS}
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condition:
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hamer_embed_dim: 1280
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hamer_n_tokens: 192 # 16×12 patches
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n_joints: 21
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skeleton_pe_freqs: 6
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cmask_ratio: 0.2
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frame_compressor:
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num_layers: 8 # cross-attention pooling layers (replaces Refiner + Compressor)
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transformer:
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hidden_size: 512
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num_heads: 16
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depth: 8 # double-stream blocks
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depth_single_blocks: 16 # single-stream blocks
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mlp_ratio: 4.0
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qkv_bias: true
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dropout: 0.1
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hamer:
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checkpoint: ${oc.env:HAMER_CKPT}
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frozen: true
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