A (nearly) pure Ray Tracing Project for Python

This work is based off the books Ray Tracing in One Weekend and Ray Tracing: the Next Week by Peter Shirley but ported to Python.

This project seeks to expand past these previous works to become a more fully fledged path-tracer

dependencies include:

1. pypy3 (note all other dependencies must be installed within pypy3)
2. numpy
3. matplotlib
4. tqdm
5. noise

1. Install Anaconda
2. conda env create -f environment.yaml
3. conda activate PyTrace_env
4. pypy3 -m ensurepip
5. if on mac you may need to fake a linked library described here
6. pypy3 -m pip install -r requirements.txt
7. pypy3 main.py

Technically, you can run w/o pypy3 installed but it is very slow w/o the JIT compilation, as seen below

1. Add more features such as different sampling methods, more materials, etc
2. Optimizations (Better BVH creation, memory and operation optimizations)
3. Arbitrary geometry support (mostly polygonal meshes)
4. Scene descriptions and parser
5. CUDA optimizations

Note: Iterations per second are how many output pixels are processed per second

2048 spp

800 x 800

Standard Implementation w/ PyPy

avg: 116.79 it/s

time: 1:31:19

2048 spp

800 x 800

Standard Implementaiton w/ Pypy

avg: N/A

time: ~ 3 Hours

256 spp

1200 x 800

Standard implementation

avg: 73.34 it/s

time: 4:10:06

256 spp

1200 x 800

Standard implementation w/PyPy

avg: 4953.02 it/s

time: 00:03:13

100 spp

200 x 100

Standard implementation

avg: 179.90 it/s

time: 00:01:50

100 spp

200 x 100

Standard implementation w/ PyPy

avg: 10819.22 it/s

time: 00:00:01

256 spp

1200 x 800

Standard implementation w/PyPy

avg: 307.16 it/s

time: 00:52:01

64 spp

200 x 100

Standard implementation w/PyPy w/o cprofile

avg: 1207.04it/s

time: 00:00:06