https://github.com/kwea123/python-ray-tracing-with-cuda-example

An example of cuda ray tracing in pure python syntax.
https://github.com/kwea123/python-ray-tracing-with-cuda-example

cuda numba python ray-tracing

Last synced: 3 months ago
JSON representation

An example of cuda ray tracing in pure python syntax.

• Host: GitHub
• URL: https://github.com/kwea123/python-ray-tracing-with-cuda-example
• Owner: kwea123
• Created: 2020-08-18T03:38:05.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-09-07T07:14:02.000Z (over 4 years ago)
• Last Synced: 2024-05-02T02:54:13.200Z (9 months ago)
• Topics: cuda, numba, python, ray-tracing
• Language: Python
• Homepage:
• Size: 20.4 MB
• Stars: 30
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# python-ray-tracing-with-cuda-example

An example of cuda ray tracing in pure python syntax. It reproduces the result of [Ray Tracing in One Weekend](https://raytracing.github.io/books/RayTracingInOneWeekend.html)

The original cpp code takes around 4 hours to complete, while this python CUDA implementation takes less than 1 minute.

**NOTE**: The code is not guaranteed to be fully optimized, but I intend to provide some insights on efficient python ray tracing implementation.

**ATTENTION**: Currently it consumes ~16G of memory, so be aware if your PC doesn't have enough memory. You can decrease `SAMPLES_PER_RAY` to reduce memory consumption.

![test](test.png)

```

scene has 485 objs, takes 0.0107 s to construct

rendering time: 47.7054 s

saving to test.png ...

```

# Installation

## Requirements

Ubuntu with NVIDIA GPU (tested on RTX 2080Ti)

```

conda install numba matplotlib

```

## Run

```

python demo.py

```