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Bump up to version 0.3.0 (#371)

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* 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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Jason
2022-10-15 22:01:27 +08:00
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14
examples/vision/detection/yolov6/cpp/README.md
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@@ -4,17 +4,17 @@
在部署前，需确认以下两个步骤
- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../docs/environment.md)
- 2. 根据开发环境，下载预编译部署库和samples代码，参考[FastDeploy预编译库](../../../../../docs/quick_start)
- 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)
- 2. 根据开发环境，下载预编译部署库和samples代码，参考[FastDeploy预编译库](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
以Linux上CPU推理为例，在本目录执行如下命令即可完成编译测试
```bash
mkdir build
cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.3.0.tgz
tar xvf fastdeploy-linux-x64-0.3.0.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.3.0
make -j
#下载官方转换好的YOLOv6模型文件和测试图片
@@ -35,7 +35,7 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000
<img width="640" src="https://user-images.githubusercontent.com/67993288/184301725-390e4abb-db2b-482d-931d-469381322626.jpg">
以上命令只适用于Linux或MacOS, Windows下SDK的使用方式请参考:
- [如何在Windows中使用FastDeploy C++ SDK](../../../../../docs/compile/how_to_use_sdk_on_windows.md)
- [如何在Windows中使用FastDeploy C++ SDK](../../../../../docs/cn/faq/use_sdk_on_windows.md)
## YOLOv6 C++接口
@@ -88,4 +88,4 @@ YOLOv6模型加载和初始化，其中model_file为导出的ONNX模型格式。
- [模型介绍](../../)
- [Python部署](../python)
- [视觉模型预测结果](../../../../../docs/api/vision_results/)
- [如何切换模型推理后端引擎](../../../../../docs/runtime/how_to_change_backend.md)
- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)