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[Doc] add examples/vision/detection/fastestdet/README.md README_CN.md (#1089)
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English | [简体中文](README_CN.md)
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# FastestDet Ready-to-deploy Model
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- 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)
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- (1)The *.onnx provided by [Official Repository](https://github.com/dog-qiuqiu/FastestDet.git) can be deployed directly;
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- (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.
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## Download Pre-trained ONNX Model
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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)
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| Model | Size | Accuracy | Note |
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|:---------------------------------------------------------------- |:----- |:----- |:---- |
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| [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 |
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## Detailed Deployment Documents
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- [Python Deployment](python)
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- [C++ Deployment](cpp)
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## Release Note
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- Document and code are based on [FastestDet](https://github.com/dog-qiuqiu/FastestDet.git)
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