diff --git a/examples/vision/detection/fastestdet/README.md b/examples/vision/detection/fastestdet/README.md new file mode 100644 index 000000000..68e2f6f66 --- /dev/null +++ b/examples/vision/detection/fastestdet/README.md @@ -0,0 +1,25 @@ +English | [简体中文](README_CN.md) + +# FastestDet Ready-to-deploy Model + +- The deployment of the FastestDet model is based on [FastestDet](https://github.com/dog-qiuqiu/FastestDet.git) and [Pre-trained Model Based on COCO 2017](https://github.com/dog-qiuqiu/FastestDet.git) + - (1)The *.onnx provided by [Official Repository](https://github.com/dog-qiuqiu/FastestDet.git) can be deployed directly; + - (2)The FastestDet model trained by personal data should employ `test.py` in [FastestDet](https://github.com/dog-qiuqiu/FastestDet.git) to export the ONNX files for deployment. + + +## Download Pre-trained ONNX Model + +For developers' testing, models exported by FastestDet are provided below. Developers can download them directly. (The accuracy in the following table is derived from the source official repository) +| Model | Size | Accuracy | Note | +|:---------------------------------------------------------------- |:----- |:----- |:---- | +| [FastestDet](https://bj.bcebos.com/paddlehub/fastdeploy/FastestDet.onnx) | 969KB | 25.3% | This model file is sourced from [FastestDet](https://github.com/dog-qiuqiu/FastestDet.git),BSD-3-Clause license | + + +## Detailed Deployment Documents + +- [Python Deployment](python) +- [C++ Deployment](cpp) + +## Release Note + +- Document and code are based on [FastestDet](https://github.com/dog-qiuqiu/FastestDet.git) \ No newline at end of file diff --git a/examples/vision/detection/fastestdet/README_CN.md b/examples/vision/detection/fastestdet/README_CN.md new file mode 100644 index 000000000..c099ee77b --- /dev/null +++ b/examples/vision/detection/fastestdet/README_CN.md @@ -0,0 +1,24 @@ +[English](README.md) | 简体中文 +# FastestDet准备部署模型 + +- FastestDet部署模型实现来自[FastestDet](https://github.com/dog-qiuqiu/FastestDet.git),和[基于COCO的预训练模型](https://github.com/dog-qiuqiu/FastestDet.git) + - (1)[官方库](https://github.com/dog-qiuqiu/FastestDet.git)提供的*.onnx可直接进行部署; + - (2)开发者基于自己数据训练的 FastestDet模型,可使用[FastestDet](https://github.com/dog-qiuqiu/FastestDet.git)中的`test.py`导出ONNX文件后,完成部署。 + + +## 下载预训练ONNX模型 + +为了方便开发者的测试,下面提供了FastestDet导出的模型,开发者可直接下载使用。(下表中模型的精度来源于源官方库) +| 模型 | 大小 | 精度 | 备注 | +|:---------------------------------------------------------------- |:----- |:----- |:---- | +| [FastestDet](https://bj.bcebos.com/paddlehub/fastdeploy/FastestDetn.onnx) | 969KB | 25.3% | 此模型文件来源于[FastestDet](https://github.com/dog-qiuqiu/FastestDet.git),BSD-3-Clause license | + + +## 详细部署文档 + +- [Python部署](python) +- [C++部署](cpp) + +## 版本说明 + +- 本版本文档和代码基于[FastestDet](https://github.com/dog-qiuqiu/FastestDet.git) 编写 \ No newline at end of file