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

A simple Unity URP project demonstrating how to perform object detection with the barracuda-inference-yolox package using the in-game camera.
https://github.com/cj-mills/barracuda-inference-yolox-demo-urp

Last synced: 3 days ago
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A simple Unity URP project demonstrating how to perform object detection with the barracuda-inference-yolox package using the in-game camera.

• Host: GitHub
• URL: https://github.com/cj-mills/barracuda-inference-yolox-demo-urp
• Owner: cj-mills
• License: mit
• Created: 2023-09-23T00:23:43.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-23T21:14:06.000Z (about 1 year ago)
• Last Synced: 2023-09-23T23:44:02.787Z (about 1 year ago)
• Language: ShaderLab
• Size: 69.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Barracuda Inference YOLOX Demo URP

A simple Unity URP project demonstrating how to perform object detection with the [barracuda-inference-yolox](https://github.com/cj-mills/unity-barracuda-inference-yolox) package using the in-game camera.

![barracuda-inference-yolox-demo-urp](./images/barracuda-inference-yolox-demo-urp.png)

### Disclaimer

The YOLOX object detection model used in the project is solely for demonstration purposes. Please be aware that it has not been trained to detect in-game objects and may not accurately identify or classify them. This implementation showcases the model's potential integration within Unity, and further training or adjustments may be necessary for specific in-game applications.

### 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)**

### Credits

"Fiat Abarth 500" (https://skfb.ly/oKtX7) by Luquita is licensed under Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/).

"Police" (https://skfb.ly/6UrnX) by Tech developers is licensed under Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/).