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https://github.com/graphdeco-inria/gaussian-splatting
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Update __init__.py
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@ -81,7 +81,7 @@ def render(viewpoint_camera, pc : GaussianModel, pipe, bg_color : torch.Tensor,
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colors_precomp = override_color
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colors_precomp = override_color
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# Rasterize visible Gaussians to image, obtain their radii (on screen).
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# Rasterize visible Gaussians to image, obtain their radii (on screen).
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rendered_image, radii = rasterizer(
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rendered_image, radii, depth = rasterizer(
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means3D = means3D,
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means3D = means3D,
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means2D = means2D,
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means2D = means2D,
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shs = shs,
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shs = shs,
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@ -95,5 +95,6 @@ def render(viewpoint_camera, pc : GaussianModel, pipe, bg_color : torch.Tensor,
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# They will be excluded from value updates used in the splitting criteria.
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# They will be excluded from value updates used in the splitting criteria.
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return {"render": rendered_image,
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return {"render": rendered_image,
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"viewspace_points": screenspace_points,
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"viewspace_points": screenspace_points,
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"visibility_filter" : radii > 0,
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"visibility_filter": radii > 0,
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"radii": radii}
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"radii": radii,
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"depth": depth}
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