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FastDeploy/examples/vision/detection/yolov6/README.md
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# YOLOv6准备部署模型
## 模型版本说明
- YOLOv6 部署实现来自[YOLOv6 0.1分支](https://github.com/meituan/YOLOv6/releases/download/0.1.0),和[基于coco的预训练模型](https://github.com/meituan/YOLOv6/releases/tag/0.1.0)。
- 1[基于coco的预训练模型](https://github.com/meituan/YOLOv6/releases/download/0.1.0)的*.onnx可直接进行部署
## 下载预训练ONNX模型
为了方便开发者的测试下面提供了YOLOv6导出的各系列模型开发者可直接下载使用。
| 模型 | 大小 | 精度 |
|:---------------------------------------------------------------- |:----- |:----- |
| [YOLOv6s](https://bj.bcebos.com/paddlehub/fastdeploy/yolov6s.onnx) | 66MB | 43.1% |
| [YOLOv6s_640](https://bj.bcebos.com/paddlehub/fastdeploy/yolov6s-640x640.onnx) | 66MB | 43.1% |
## 详细部署文档
- [Python部署](python)
- [C++部署](cpp)