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@@ -47,6 +47,6 @@ probs = outputs["affordance"][0]["probs"] # (N,) per-voxel heatmap in [0, 1],
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  > **Reconstruction only?** Drop `queries` (or pass `load_affordance=False` to `from_pretrained`).
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- > **Active view selection.** Pass `view_selection_mode="voxel"` (decoder-free) or `"mesh"` (paper version, needs `nvdiffrast`). Default candidate set = a canonical 40-frame schedule; pass `view_selection_transforms_path` to use the per-object 40 GT poses from a `transforms.json` (Blender c2w → OpenCV w2c conversion baked in).
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  End-to-end examples in the [GitHub repo](https://github.com/chrockey/Affostruction): `examples/affostruction.py` (full pipeline), `examples/reconstruction.py` (reconstruction-only), and `examples/reconstruction_unposed.py` (experimental unposed single-view).
 
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  > **Reconstruction only?** Drop `queries` (or pass `load_affordance=False` to `from_pretrained`).
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+ > **Active view selection.** Pass `view_selection_mode="voxel"` (decoder-free) or `"mesh"` (paper version, needs `nvdiffrast`). Candidate poses come from a dataset `transforms.json` (`view_selection_transforms_path=...`, Blender c2w → OpenCV w2c conversion baked in).
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  End-to-end examples in the [GitHub repo](https://github.com/chrockey/Affostruction): `examples/affostruction.py` (full pipeline), `examples/reconstruction.py` (reconstruction-only), and `examples/reconstruction_unposed.py` (experimental unposed single-view).