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FastDeploy/examples/vision/detection/nanodet_plus/README.md
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# NanoDetPlus准备部署模型
## 模型版本说明
- NanoDetPlus部署实现来自[NanoDetPlus v1.0.0-alpha-1](https://github.com/RangiLyu/nanodet/tree/v1.0.0-alpha-1)基于coco的[预训练下载模型](https://github.com/RangiLyu/nanodet/releases/tag/v1.0.0-alpha-1)。
- 1[预训练模型](https://github.com/RangiLyu/nanodet/releases/tag/v1.0.0-alpha-1)的的*.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NanoDetPlus导出的各系列模型开发者可直接下载使用。
| 模型 | 大小 | 精度 |
|:---------------------------------------------------------------- |:----- |:----- |
| [NanoDetPlus_320](https://bj.bcebos.com/paddlehub/fastdeploy/nanodet-plus-m_320.onnx ) | 4.6MB | 27.0% |
| [NanoDetPlus_320_sim](https://bj.bcebos.com/paddlehub/fastdeploy/nanodet-plus-m_320-sim.onnx) | 4.6MB | 27.0% |
## 详细部署文档
- [Python部署](python)
- [C++部署](cpp)