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64 lines
2.1 KiB
Markdown
64 lines
2.1 KiB
Markdown
[English](../../en/build_and_install/jetson.md) | 简体中文
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# Jetson部署库编译
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FastDeploy当前在Jetson仅支持ONNX Runtime CPU和TensorRT GPU/Paddle Inference三种后端推理
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## C++ SDK编译安装
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编译需满足
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- gcc/g++ >= 5.4(推荐8.2)
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- cmake >= 3.10.0
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- jetpack >= 4.6.1
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如果需要集成Paddle Inference后端，在[Paddle Inference预编译库](https://www.paddlepaddle.org.cn/inference/v2.4/guides/install/download_lib.html#c)页面根据开发环境选择对应的Jetpack C++包下载，并解压。
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```bash
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy
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mkdir build && cd build
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cmake .. -DBUILD_ON_JETSON=ON \
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-DENABLE_VISION=ON \
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-DENABLE_PADDLE_BACKEND=ON \ # 可选项，如若不需要Paddle Inference后端，可关闭
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-DPADDLEINFERENCE_DIRECTORY=/Download/paddle_inference_jetson \
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-DCMAKE_INSTALL_PREFIX=${PWD}/installed_fastdeploy
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make -j8
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make install
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```
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编译完成后，即在`CMAKE_INSTALL_PREFIX`指定的目录下生成C++推理库
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## Python编译安装
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编译过程同样需要满足
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- gcc/g++ >= 5.4(推荐8.2)
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- cmake >= 3.10.0
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- jetpack >= 4.6.1
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- python >= 3.6
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Python打包依赖`wheel`，编译前请先执行`pip install wheel`
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如果需要集成Paddle Inference后端，在[Paddle Inference预编译库](https://www.paddlepaddle.org.cn/inference/v2.4/guides/install/download_lib.html#c)页面根据开发环境选择对应的Jetpack C++包下载，并解压。
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所有编译选项通过环境变量导入
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```bash
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/python
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export BUILD_ON_JETSON=ON
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export ENABLE_VISION=ON
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# ENABLE_PADDLE_BACKEND & PADDLEINFERENCE_DIRECTORY为可选项
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export ENABLE_PADDLE_BACKEND=ON
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export PADDLEINFERENCE_DIRECTORY=/Download/paddle_inference_jetson
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python setup.py build
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python setup.py bdist_wheel
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```
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编译完成即会在`FastDeploy/python/dist`目录下生成编译后的`wheel`包，直接pip install即可
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编译过程中，如若修改编译参数，为避免带来缓存影响，可删除`FastDeploy/python`目录下的`build`和`.setuptools-cmake-build`两个子目录后再重新编译
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