kaolin
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A PyTorch Library for Accelerating 3D Deep Learning Research
Where can I download the dmtet_network module when this error occurs? 
when I run the code !mamba env create -f /content/X-Mesh/xmesh.yml on colab I get this error. xmesh.yml file below: name: xmesh channels: - pytorch - conda-forge - defaults dependencies: -...
### What I would like to ask if there are any plans to release a minor update or patch that includes the new `easy_render` feature along with the relevant wheels?...
Hello! I have troubles to get the [point_to_mesh_distance](https://kaolin.readthedocs.io/en/latest/modules/kaolin.metrics.trianglemesh.html#kaolin.metrics.trianglemesh.point_to_mesh_distance) function to work. Here is a MWE: ``` python import matplotlib.pyplot as plt import torch from kaolin.io import obj from kaolin.ops.mesh import...
In the [`dmtet_tutorial.ipynb`](https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/dmtet_tutorial.ipynb), the link to "Omniverse Kaolin App" in broken. > In addition, we demonstrate the use of [Kaolin's 3D checkpoints and training visualization](https://kaolin.readthedocs.io/en/latest/modules/kaolin.visualize.html) with the [**Omniverse Kaolin App**](https://docs.omniverse.nvidia.com/app_kaolin/app_kaolin/user_manual.html)....
In [io/gltf.py:293](https://github.com/NVIDIAGameWorks/kaolin/blob/master/kaolin/io/gltf.py#L293) `skip_mesh` is left as `True` when encountering a mesh primitive that isn't type 4/triangles. As a result, at [io/gltf.py:338](https://github.com/NVIDIAGameWorks/kaolin/blob/master/kaolin/io/gltf.py#L338) `None` is appended to meshes. At [io/gltf.py:375](https://github.com/NVIDIAGameWorks/kaolin/blob/master/kaolin/io/gltf.py#L375) the returned...
This PR fixes two issues with compilation on Windows using MSVC. - forward declaration inconsistency with the actual definition of the cuda function `MeshIntersectionKernelLauncher` - fix of preprocessor condition syntax...
Signed-off-by: ThibaultGROUEIX ### Description Add AtlasNet ImageRecon example ### Tests ``` python train.py --shapenet-root /data/ShapeNet --shapenet-images-root /data/ShapeNetRendering python eval.py --shapenet-root /data/ShapeNet --shapenet-images-root /data/ShapeNetRendering ``` ### Using: Ubuntu 18.04 Titan X...
fixed shapenet datasets loading codes in order to fit with methods in /kaolin/datasets/shapenet.py
Add pointnet classification tutorial to docs