pytorch3d
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PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
The following is copied from [pytorch camera documentation](https://pytorch3d.org/docs/cameras) > The relationship between screen and NDC specifications of a camera's focal_length and principal_point is given by the following equations, where s...
If you do not know the root cause of the problem / bug, and wish someone to help you, please post according to this template: ## 🐛 Bugs / Unexpected...
I am using Windows with python 3.8 + cuda 11.7 + pytorch 1.7.1 + torchvision 0.8.2 + cub 1.10.0 I encountered the following problem: (ydk_adaBins) PS D:\Git\Git\bin\pytorch3d> python setup.py install...
A simple clarification: the output from `somerasterizer.forward()` (i.e. the `fragment` in pytorch3d language) and in particular the `fragment.zbuf` tensor should be differentiable with respect to the input parameters like cameras...
Hi, I try to use the example about the shapenet dataset with both version v1 and v2 but when I use the v2 I receive, when I create the dataset...
Is there any way to quickly calculate the intersection of the ray with the mesh and the signed distance from the point to the mesh? such as: **https://github.com/fwilliams/point-cloud-utils#ray-mesh-intersection** **https://github.com/fwilliams/point-cloud-utils#compute-shortest-signed-distances-to-a-triangle-mesh-with-fast-winding-numbers**
## ❓ Questions on how to use PyTorch3D I am trying to do textured rendering but the result is very small and unclear, when I zoomed in, the image quality...
## ❓ Questions on how to use PyTorch3D I want to use SignedDistanceFunctionRenderer to render sdf things. When it runs in sphere_tracing(), curr_start_points' dim is [B*N, 3]. But for my...
## ❓ How to convert 3D obj to 2D UV mapping texture? I want to convert [3D obj file](https://drive.google.com/drive/folders/12RPxllBfgSwQQlkjmMIiAc2rADHru3sW?usp=sharing) to 2D UV format. Example of a 2D image captured from...
Hello, I tried using unproject_points using this snippet to convert back depth map into a point cloud: ``` import numpy as np import open3d as o3d import torch from pytorch3d.io...