https://github.com/cj-mills/sentis-inference-yolox-demo

A simple Unity project demonstrating how to perform object detection with yolox using Sentis.
https://github.com/cj-mills/sentis-inference-yolox-demo

demo hand-detection hand-gesture-recognition object-detection sentis unity yolox

Last synced: 3 days ago
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A simple Unity project demonstrating how to perform object detection with yolox using Sentis.

• Host: GitHub
• URL: https://github.com/cj-mills/sentis-inference-yolox-demo
• Owner: cj-mills
• License: mit
• Created: 2024-04-05T01:43:16.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-04-05T01:48:18.000Z (10 months ago)
• Last Synced: 2024-11-13T05:35:12.015Z (2 months ago)
• Topics: demo, hand-detection, hand-gesture-recognition, object-detection, sentis, unity, yolox
• Language: ShaderLab
• Homepage:
• Size: 28.7 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Sentis Inference YOLOX Demo

A simple Unity project demonstrating how to perform object detection with yolox using Sentis. 

## Getting Started

1. Clone this repository to your local machine:

```bash

git clone https://github.com/cj-mills/sentis-inference-yolox-demo.git

```

2. Open the project in Unity.

3. Explore the sample scene and [scripts](https://github.com/cj-mills/sentis-inference-yolox-demo/tree/main/Assets/Scripts).

## Train a Custom Model

If you're interested in training a YOLOX model on a custom dataset, check out my tutorial tutorial linked below:

- **[Training YOLOX Models for Real-Time Object Detection in Pytorch](https://christianjmills.com/series/tutorials/pytorch-train-object-detector-yolox-series.html)**

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.