Summer-Ray-Tracer

SJTU ACM Honor Class 2023 Ray Tracer Project With Rust !

Before you start, please read this README carefully, there is no useless information in this document.

Introduction

Briefly, you need to build a toy ray tracer in this project, with the Rust language.

Where can you learn about ray tracing?

Out project is based on the Ray Tracing In One Weekend book series, containing three books, which is great resource for beginners to learn about ray tracing.

Most of your jobs are just reading and trying to understand the books, and implementing the books' C++ code in Rust. (That sounds so easy, right?)

Rust Language

Installation

In linux and MacOS systems, you can install Rust with the following command:

curl https://sh.rustup.rs -sSf | sh

After that, remember to set the environment variable in ~/.bashrc or ~/.zshrc:

For some reason, you may need to do this to get access to the crates.io

• Create the file ~/.cargo/config
• Add the following content to the file

[http]
proxy = "127.0.0.1:7890" # your own proxy address

[https]
proxy = "127.0.0.1:7890" # your own proxy address

[source.crates-io]
replace-with = 'ustc'

[source.ustc]
registry = "git://mirrors.ustc.edu.cn/crates.io-index"

Learning

This is probably your first time to use Rust, so there are some resources for you to learn Rust:

• Rust Programming Language which is the mostly used book for a beginner.
• Rust语言教程的中文版
• Rust 语言圣经
• The Cargo Book
• Rust By Example
• Rust Nomicon which is for advanced users, e.g. you can learn how to write unsafe code in Rust.

Something you should know about Rust

• Module instead of include.
• Trait instead of inheritance.
• Syntactically similar to C++.
• Well designed, ensuring memory safe without garbage collection.
• Strict compile-time check.
• Ownership, lifetime, borrow checker, smart pointers...
• Hard to learn...

The Framework of the Project

.
├── Cargo.lock
├── Cargo.toml
├── doc
├── .github
│   └── workflows
│       └── run.yml
├── .gitignore
├── LICENSE
├── output
│   ├── book1
│   │   └── image1.jpg
│   ├── book2
│   ├── book3
│   └── works
├── raytracer
│   ├── Cargo.toml
│   ├── sources
│   └── src
│       └── main.rs
├── README.md
└── rust-toolchain

We strongly recommend you to use this framework to build your project, as you can see, this framework is already simple enough, and you can add your own code in the raytracer folder.

• doc : A folder to contain your report.
• output : A folder to contain your output images.
  • Each book has its own folder, which contains all the images shown in the chapters but generated by your own ray tracer.
  • This folder should not be uploaded to Github, as it may be too large or change too frequently, so it should be added to .gitignore.
• .github/workflows/run.yml : This file is used to run your code in Github Actions, which is a CI/CD tool. By the way, output folder can be generated automatically by Github Actions.
• raytracer/src : This folder contains you main code.
• raytracer/sources : If you want to import some 3D models or textures, you can put them in this folder.
• rust-toolchain : Do not forget to add this file to your project, or you may not be able to compile your code.

Tasks

Task 0 : Preparation

Just do some preparation work, including:

• Read the README carefully, so that you know how to start your project.
• Correctly install Rust and Cargo.
• Figure out how to compile rust code, using rustc or cargo.
• Learning Rust language. Read a few chapters of the Rust Programming Language book.
  • The first 6 chapters are enough for you to start your project.
  • Chapter 10, 15, 16... the more, the better.
  • Maybe at first you just know how to write a Hello World program or how to output the first image in the book, as long as you can complete the current task, it is enough.

Task 1 (20 pts) : Ray Tracing In One Weekend

• Complete the first book.
• Save each output image in the output folder.

Task 2 (20 pts) : Ray Tracing: The Next Week

• Complete the second book.
• Save each output image in the output folder.

Task 3 (30 pts) : Ray Tracing: The Rest of Your Life

• Complete the third book.

• Save each output image in the output folder.

• Write a simple report about the PDF method in this book, at least 2 pages.

Task 4 (10 pts) : Advanced features

• Multi-threading to accelerate your ray tracer.
• Exploring some rust features.
• Make a benchmark for your ray tracer.
• Support for .obj file.
  • An obj-loader is needed.
  • Polygons are supported (Maybe ?).
• Some CG-related techniques.
• Some other interesting features. Please contact TAs if you have any ideas.

Task 5 (10 pts) : Final scene

• Complete a final scene, which should be more complex than the scenes in the books. If your work looks pretty or has aesthetic value, you will get extra points.
• Or, your final scene can just be a logo of our project : Ray Tracing. Look at the current logo at the top of this page, you can make a better one, with your own ray tracer.

Task 6 (10 pts) : Code review

Basic Requirements

• Remember to provide each book's generated images. Finally, you should upload the output folder to Github.
• Pass the checks in Github Actions, including (already included in run.yml):
  • cargo fmt --all -- --check
  • cargo clippy --all -- -D warnings
  • cargo test --all
  • cargo build --all --release
  • cargo run --all --release
• Each image output commit should be tagged, if tagged, run.yml settings will run your code and generate the output images. You should let us directly see the output images (a '.zip' file) in the Github Actions page.

Assignments

• For students in ACM Class, you are supposed to finish all tasks above.
• For students in SEIEE CS, you are supposed to finish Task0, Task1 (40pts), Task2 (40pts), Task3 (10pts) and Task5 (10pts).

Others

• You should have a document recording all the bonus you have done. For each bonus, you should show the code or the effect of your work.
• There is no restriction on unsafe code, if you think it is necessary, you can use it, and explain why.
• There will be 2 students to do presentations for ACM Class and SEIEE CS. They will get extra points based on their presentations, no more than 10 points.