\(
\newcommand{\P}[]{\unicode{xB6}}
\newcommand{\AA}[]{\unicode{x212B}}
\newcommand{\empty}[]{\emptyset}
\newcommand{\O}[]{\emptyset}
\newcommand{\Alpha}[]{Α}
\newcommand{\Beta}[]{Β}
\newcommand{\Epsilon}[]{Ε}
\newcommand{\Iota}[]{Ι}
\newcommand{\Kappa}[]{Κ}
\newcommand{\Rho}[]{Ρ}
\newcommand{\Tau}[]{Τ}
\newcommand{\Zeta}[]{Ζ}
\newcommand{\Mu}[]{\unicode{x039C}}
\newcommand{\Chi}[]{Χ}
\newcommand{\Eta}[]{\unicode{x0397}}
\newcommand{\Nu}[]{\unicode{x039D}}
\newcommand{\Omicron}[]{\unicode{x039F}}
\DeclareMathOperator{\sgn}{sgn}
\def\oiint{\mathop{\vcenter{\mathchoice{\huge\unicode{x222F}\,}{\unicode{x222F}}{\unicode{x222F}}{\unicode{x222F}}}\,}\nolimits}
\def\oiiint{\mathop{\vcenter{\mathchoice{\huge\unicode{x2230}\,}{\unicode{x2230}}{\unicode{x2230}}{\unicode{x2230}}}\,}\nolimits}
\)
PyTorch3D
This Facebook AI Research's PyTorch 3D graphics library.
The main features are a mesh and point cloud renderer.
Install
See INSTALL.md.
I've only been able to get it to work on Linux.
- Make sure you have CUDA, CUDNN, PyTorch installed
pip install 'git+https://github.com/facebookresearch/pytorch3d.git'
Usage
Point Cloud Renderer
See render_colored_points.ipynb.
You can run this tutorial in Colab using this link or the Open in Colab' extension.
To implement custom cameras (e.g. Fisheye, 360), you can write your own custom PointsRasterizer. See /pytorch3d/renderer/points/rasterizer.py for the default PointsRasterizer.
Specifically, you can change the transform function to a custom function which calculates screen coordinates from world coordinates.
