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Summary: Collection of spelling things, mostly in docs / tutorials. Reviewed By: gkioxari Differential Revision: D26101323 fbshipit-source-id: 652f62bc9d71a4ff872efa21141225e43191353a
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@@ -67,13 +67,13 @@ class EmissionAbsorptionRaymarcher(torch.nn.Module):
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rays_features: Per-ray feature values represented with a tensor
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of shape `(..., n_points_per_ray, feature_dim)`.
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eps: A lower bound added to `rays_densities` before computing
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the absorbtion function (cumprod of `1-rays_densities` along
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the absorption function (cumprod of `1-rays_densities` along
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each ray). This prevents the cumprod to yield exact 0
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which would inhibit any gradient-based learning.
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Returns:
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features_opacities: A tensor of shape `(..., feature_dim+1)`
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that concatenates two tensors alonng the last dimension:
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that concatenates two tensors along the last dimension:
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1) features: A tensor of per-ray renders
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of shape `(..., feature_dim)`.
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2) opacities: A tensor of per-ray opacity values
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