{"id":20004103,"url":"https://github.com/cj-mills/unity-barracuda-inference-base","last_synced_at":"2025-10-18T08:09:59.708Z","repository":{"id":158442031,"uuid":"619967043","full_name":"cj-mills/unity-barracuda-inference-base","owner":"cj-mills","description":"This Unity package provides a foundation for performing inference with the Barracuda inference library. 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It includes a flexible base class to extend with task-specific packages.\n\n\n\n## Features\n\n- Perform inference using the Unity Barracuda library\n- Extensible `BarracudaModelRunner` base class for custom inference tasks\n- Support for different compute backends and channel orders\n\n\n\n## Code Walkthrough\n\n* [Code Walkthrough: Unity Barracuda Inference Base Package](https://github.com/cj-mills/unity-barracuda-inference-base)\n\n\n\n## Extensions\n\n| GitHub Repository                                            | Description                                                |\n| ------------------------------------------------------------ | ---------------------------------------------------------- |\n| [unity-barracuda-inference-image-classification](https://github.com/cj-mills/unity-barracuda-inference-image-classification) | Perform image classification using computer vision models. |\n| [unity-barracuda-inference-yolox](https://github.com/cj-mills/unity-barracuda-inference-yolox) | Perform object detection using YOLOX models.               |\n| [unity-barracuda-inference-posenet](https://github.com/cj-mills/unity-barracuda-inference-posenet) | Perform 2D human pose estimation using PoseNet models.     |\n\n\n\n\n## Demo Projects\n\n| GitHub Repository                                            | Description                                                |\n| ------------------------------------------------------------ | ---------------------------------------------------------- |\n| [barracuda-image-classification-demo](https://github.com/cj-mills/barracuda-image-classification-demo) | Perform image classification using computer vision models. |\n| [barracuda-inference-yolox-demo](https://github.com/cj-mills/barracuda-inference-yolox-demo) | Perform object detection using YOLOX models.               |\n| [barracuda-inference-posenet-demo](https://github.com/cj-mills/barracuda-inference-posenet-demo) | Perform 2D human pose estimation using PoseNet models.     |\n\n\n\n## Getting Started\n\n### Prerequisites\n\n- Unity game engine\n\n### Installation\n\nYou can install the Barracuda Inference Base package using the Unity Package Manager:\n\n1. Open your Unity project.\n2. Go to Window \u003e Package Manager.\n3. Click the \"+\" button in the top left corner, and choose \"Add package from git URL...\"\n4. Enter the GitHub repository URL: `https://github.com/cj-mills/unity-barracuda-model-runner.git`\n5. Click \"Add\". The package will be added to your project.\n\nFor Unity versions older than 2021.1, add the Git URL to the `manifest.json` file in your project's `Packages` folder as a dependency:\n\n```json\n{\n  \"dependencies\": {\n    \"com.cj-mills.barracuda-model-runner\": \"https://github.com/cj-mills/unity-barracuda-model-runner.git\",\n    // other dependencies...\n  }\n}\n```\n\n\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](Documentation~/LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcj-mills%2Funity-barracuda-inference-base","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcj-mills%2Funity-barracuda-inference-base","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcj-mills%2Funity-barracuda-inference-base/lists"}