<p align="center"><img width="50%" src="docs/images/ONNX_Runtime_logo_dark.png" /></p>
**ONNX Runtime is a cross-platform inference and training machine-learning accelerator**.
**ONNX Runtime inference** can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. [Learn more →](https://www.onnxruntime.ai/docs/#onnx-runtime-for-inferencing)
**ONNX Runtime training** can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. [Learn more →](https://www.onnxruntime.ai/docs/#onnx-runtime-for-training)
## Get Started & Resources
* **General Information**: [onnxruntime.ai](https://onnxruntime.ai)
* **Usage documentation and tutorials**: [onnxruntime.ai/docs](https://onnxruntime.ai/docs)
* **YouTube video tutorials**: [youtube.com/@ONNXRuntime](https://www.youtube.com/@ONNXRuntime)
* [**Upcoming Release Roadmap**](https://github.com/microsoft/onnxruntime/wiki/Upcoming-Release-Roadmap)
* **Companion sample repositories**:
- ONNX Runtime Inferencing: [microsoft/onnxruntime-inference-examples](https://github.com/microsoft/onnxruntime-inference-examples)
- ONNX Runtime Training: [microsoft/onnxruntime-training-examples](https://github.com/microsoft/onnxruntime-training-examples)
## Builtin Pipeline Status
|System|Inference|Training|
|---|---|---|
|Windows|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=9)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=10)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=47)||
|Linux|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=11)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=64)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=12)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=45)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=55)|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=86)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=84)<br>[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=148)|
|Mac|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=13)||
|Android|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=53)||
|iOS|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=134)||
|Web|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=161)||
|Other|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=187&repoName=microsoft%2Fonnxruntime)||
## Third-party Pipeline Status
|System|Inference|Training|
|---|---|---|
|Linux|[](https://github.com/Ascend/onnxruntime/actions/workflows/build-and-test.yaml)||
## Data/Telemetry
Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the [privacy statement](docs/Privacy.md) for more details.
## Contributions and Feedback
We welcome contributions! Please see the [contribution guidelines](CONTRIBUTING.md).
For feature requests or bug reports, please file a [GitHub Issue](https://github.com/Microsoft/onnxruntime/issues).
For general discussion or questions, please use [GitHub Discussions](https://github.com/microsoft/onnxruntime/discussions).
## Code of Conduct
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
## License
This project is licensed under the [MIT License](LICENSE).
FaceFusionSharp - 05 人脸增强.rar （319个子文件） 
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资源评论
大为慎独2024-11-03感谢资源主的分享，很值得参考学习，资源价值较高，支持！
