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Bump up to version 0.3.0 (#371)
* Update VERSION_NUMBER * Update paddle_inference.cmake * Delete docs directory * release new docs * update version number * add vision result doc * update version * fix dead link * fix vision * fix dead link * Update README_EN.md * Update README_EN.md * Update README_EN.md * Update README_EN.md * Update README_EN.md * Update README_CN.md * Update README_EN.md * Update README_CN.md * Update README_EN.md * Update README_CN.md * Update README_EN.md * Update README_EN.md Co-authored-by: leiqing <54695910+leiqing1@users.noreply.github.com>
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@@ -2,8 +2,8 @@
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在部署前,需确认以下两个步骤
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- 1. 软硬件环境满足要求,参考[FastDeploy环境要求](../../../../../docs/environment.md)
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- 2. FastDeploy Python whl包安装,参考[FastDeploy Python安装](../../../../../docs/quick_start)
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- 1. 软硬件环境满足要求,参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
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- 2. FastDeploy Python whl包安装,参考[FastDeploy Python安装](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
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本目录下提供`infer.py`快速完成YOLOv5在CPU/GPU,以及GPU上通过TensorRT加速部署的示例。执行如下脚本即可完成
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@@ -78,4 +78,4 @@ YOLOv5模型加载和初始化,其中model_file为导出的ONNX模型格式
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- [YOLOv5 模型介绍](..)
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- [YOLOv5 C++部署](../cpp)
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- [模型预测结果说明](../../../../../docs/api/vision_results/)
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- [如何切换模型推理后端引擎](../../../../../docs/runtime/how_to_change_backend.md)
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- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)
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