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Currently, a point cloud is assumed to be arbitrary distributed in space. However, if it could be guaranteed that it is uniformly distributed with a known point spacing, this would allow for performan…
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### Current Behavior
Currently, when logging an Object3D point cloud, the visualized point cloud in the WandB console is mirrored.
When I plot these myself (i.e using plotly, verified that th…
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## Description
Creating point cloud samples for preview or trying to get metadata (point counts / projection info) results in `Unexpected end of JSON input` (logs below).
## Environment
operating…
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Hello! Can the diffCD loss be directly applied to two corresponding clusters of point clouds?
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When using the mapper step, i sometime end with multiple folders inside of sparse folder.
(0,1,2.. sometime up to 12)
Each folder represents some of the points of the whole images folder, and some fo…
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The idea is that normal computation speed could be increased and be more accurate when we received an organized point cloud. The normal clustering could be also faster. In both case, no radius search …
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Hi, I am trying to encode something similar, like [Draco does not decode "high dimensional" point clouds](https://github.com/google/draco/issues/1020). I think I managed to do it with some custom Geom…
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Add a point cloud version (a subclass? or just add the properties. To decide!) that can be used to apply velocity information to points in a point cloud
Similarly to the Gaia stars, and the points …
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Hi ! , I am Mesut. I am working on a project about segmenting objects on point clouds. I've seen "test.py" file. Am i use that code with my own airborne lidar point cloud dataset?
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Can we use this technique for point clouds as large as used in Construction site.
Your method looks impressive so i wanted to try it for point clouds as large as in millions. Is it possible?
Do le…