[Doc] add examples/vision/detection/fastestdet/README.md README_CN.md (…

…PaddlePaddle#1089)

add README.md README_CN.md

examples/vision/detection/fastestdet/README.md

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+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) 

examples/vision/detection/fastestdet/README_CN.md

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+[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