RayTracer.jl

Differentiable RayTracing in Julia
授权协议 MIT License
开发语言
所属分类 神经网络/人工智能、 机器学习/深度学习
软件类型 开源软件
地区 不详
投 递 者 林祯
操作系统 跨平台
开源组织
适用人群 未知
 软件概览

RayTracer.jl

CI

This package was written in the early days of Flux / Zygote. Both these packages have significantly improved over time. Unfortunately the current state of this package of has not been updated to reflect those improvements. It also seems that it might be better to gradually transition to defining the adjoints directly using ChainRules

A Ray Tracer written completely in Julia. This allows us to leverage the AD capablities provided by Zygote to differentiate through the Ray Tracer.

INSTALLATION

This package is registered. So open up a Julia 1.3+ repl and enter the pkg mode.

julia> ]
(v1.3) pkg> add RayTracer

To use the master branch (not recommended) do.

julia> ]
(v1.3) pkg> add RayTracer#master

TUTORIALS

USAGE EXAMPLES

Follow the instructions below to run individual examples or useexamples/script.sh to run all of them together.

First we need to get the versions of the packages used when theseexamples were written.

$ cd examples
$ julia --color=yes -e "using Pkg; Pkg.instantiate()"

Now we can run any of the file we need byjulia --project=. --color=yes "/path/to/file"

Running Individual Examples

wget https://raw.githubusercontent.com/McNopper/OpenGL/master/Binaries/teapot.obj
$ mkdir meshes
$ cd meshes
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/meshes/sign_yield.obj
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/meshes/sign_yield.mtl
$ cd ..

$ mkdir textures
$ cd textures
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/textures/wood_osb.jpg
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/textures/sign_yield.png
$ cd ..

This example requires a few arguments to be passes from command line. Chack them using

julia --project=. --color=yes "performance_benchmarks.jl" --help

$ wget https://raw.githubusercontent.com/tejank10/Duckietown.jl/master/src/meshes/tree.obj 
$ wget https://raw.githubusercontent.com/tejank10/Duckietown.jl/master/src/meshes/tree.mtl

Additional Examples

Duckietown.jl uses RayTracer.jl for generating rendersof a self-driving car environment. For more complex examples of RayTracer, checkout that project.

SUPPORTING AND CITING:

This software was developed as part of academic research. If you would like to help support it, please star the repository. If you use this software as part of your research, teaching, or other activities, we would be grateful if you could cite the following:

@article{Pal2020,
  doi = {10.21105/jcon.00037},
  url = {https://doi.org/10.21105/jcon.00037},
  year = {2020},
  publisher = {The Open Journal},
  volume = {1},
  number = {1},
  pages = {37},
  author = {Avik Pal},
  title = {RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction},
  journal = {Proceedings of the JuliaCon Conferences}
}

CURRENT ROADMAP

These are not listed in any particular order

  • Add more types of common objects (use mesh rendering for this)
  • Add support for rendering arbitrary mesh
  • Inverse Rendering Examples
  • Texture Rendering
  • Application in Machine Learning Models through Flux (work in progress)
  • Major Overhaul using Flux3D.jl
  • Exploit the latest improvements to Flux and Zygote