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jiangjiajun
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# FastDeploy 预编译部署库
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# FastDeploy 预编编译Python Wheel包
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FastDeploy提供了在Windows/Linux/Mac上的预先编译C++部署库，开发者可以直接下载使用，也可以自行编译代码。
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FastDeploy提供了在Windows/Linux/Mac上的预先编译CPP部署库，开发者可以直接下载后使用，也可以自行编译代码。
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## 环境依赖
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- cmake >= 3.12
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- g++/gcc >= 8.2
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- cuda >= 11.2
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- cudnn >= 8.0
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- g++ >= 5.4(推荐8.2)
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## 下载地址
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| 系统 | 架构 | 硬件 | 下载链接 |
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| :--- | :--- | :--- | :------- |
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| Linux| x64 | CPU | [fastdeploy-linux-x64-0.2.0.tgz]() |
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| Linux | x64 | CPU/GPU | [fastdeploy-linux-x64-gpu-0.2.0.tgz]() |
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| Windows | x64 | CPU | [fastdeploy-win-x64-0.2.0.zip]() |
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| Windows | x64 | CPU/GPU | [fastdeploy-win-x64-gpu-0.2.0.zip]() |
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| Mac | x86_64 | CPU | [fastdeploy-osx-x86_64-0.2.0.tgz]() |
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| Mac | arm64 | CPU | [fastdeploy-osx-arm64-0.2.0.tgz]() |
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### Linux x64平台
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| 部署库下载地址 | 硬件 | 说明 |
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| :------------- | :--- | :--- |
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| [fastdeploy-linux-x64-0.2.0](https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-0.2.0.tgz) | CPU | g++ 8.2编译产出 |
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| [fastdeploy-linux-x64-gpu-0.2.0](https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz) | CPU/GPU | g++ 8.2, cuda 11.2, cudnn 8.2编译产出 |
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### Windows 10 x64平台
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| 部署库下载地址 | 硬件 |
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| :------------- | :--- |
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| [comming...] | CPU |
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| [comming...] | CPU/GPU |
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### Linux aarch64平台
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| 安装包 | 硬件 |
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| :---- | :-- |
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| [comming...] | CPU |
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| [comming...] | Jetson |
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### Mac OSX平台
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| 部署库下载地址 | 架构 |硬件 |
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| :---- | :-- | :------ |
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| [comming...] | x86 | CPU |
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| [comming...] | arm64 | CPU |
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## 其它文档
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- [预编译Python wheel包](./prebuilt_wheels.md)
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- [FastDeploy C++部署](../../examples)
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- [预编译Python安装包](./prebuilt_wheels.md)
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- [视觉模型C++/Python部署示例](../../examples/vision/)
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@@ -2,6 +2,15 @@
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FastDeploy提供了在Windows/Linux/Mac上的预先编译Python Wheel包，开发者可以直接下载后安装，也可以自行编译代码。
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使用如下命令即可在Linux的Pythotn 3.8环境安装支持CPU部署的FastDeploy
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```
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python -m pip install fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl
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```
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## 注意事项
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- 不要重复安装`fastdeploy-python`和`fastdeploy-gpu-python`
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- 如已安装CPU版本的`fastdeploy-python`后，在安装GPU版本的`fastdeploy-gpu-python`，请先执行`pip uninstall fastdeploy-python`卸载已有版本
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## 环境依赖
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- cuda >= 11.2
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@@ -9,16 +18,44 @@ FastDeploy提供了在Windows/Linux/Mac上的预先编译Python Wheel包，开
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## 下载地址
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| 系统 | 架构 | 硬件 | 下载链接 |
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| :--- | :--- | :--- | :------- |
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| Linux| x64 | CPU | [fastdeploy-linux-x64-0.2.0.tgz]() |
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| Linux | x64 | CPU/GPU | [fastdeploy-linux-x64-gpu-0.2.0.tgz]() |
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| Windows | x64 | CPU | [fastdeploy-win-x64-0.2.0.zip]() |
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| Windows | x64 | CPU/GPU | [fastdeploy-win-x64-gpu-0.2.0.zip]() |
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| Mac | x86_64 | CPU | [fastdeploy-osx-x86_64-0.2.0.tgz]() |
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| Mac | arm64 | CPU | [fastdeploy-osx-arm64-0.2.0.tgz]() |
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### Linux x64平台
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| CPU 安装包 | 硬件 | Python版本 |
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| :------------- | :--- | :--------- |
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| [fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl) | CPU | 3.6 |
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| [fastdeploy_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl) | CPU | 3.7 |
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| [fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl) | CPU | 3.8 |
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| [fastdeploy_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl) | CPU | 3.9 |
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| GPU 安装包 | 硬件 | Python版本 |
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| [fastdeploy_gpu_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl) | CPU/GPU | 3.6 |
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| [fastdeploy_gpu_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl) | CPU/GPU | 3.7 |
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| [fastdeploy_gpu_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl) | CPU/GPU | 3.8 |
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| [fastdeploy_gpu_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl) | CPU/GPU | 3.9 |
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### Windows 10 x64平台
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| CPU 安装包 | 硬件 | Python版本 |
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| :---- | :-- | :------ |
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| [comming...] | CPU | 3.8 |
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| [comming...] | CPU | 3.9 |
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### Linux aarch64平台
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| 安装包 | 硬件 | Python版本 |
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| :---- | :-- | :------ |
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| [comming...] | CPU | 3.7 |
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| [comming...] | CPU | 3.8 |
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| [comming...] | CPU | 3.9 |
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### Mac OSX平台
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| 架构 | 硬件 | 安装包 | Python版本 |
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| :---- | :-- | :------ | :----- |
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| x86_64 | CPU | [comming...] | 3.9 |
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| arm64 | CPU | [comming...] | 3.9 |
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## 其它文档
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- [预编译C++部署库](./prebuilt_libraries.md)
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- [FastDeploy C++部署](../../examples)
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- [视觉模型C++/Python部署示例](../../examples/vision/)
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@@ -1,25 +1,11 @@
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# FastDeploy安装
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目前已提供Linux、Windows上的Python Wheel安装包，开发者根据自身需求下载后使用如下命令安装即可，如
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针对开发者的开发需求，FastDeploy目前提供了Python和C++两种安装方式，可分别参考
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```
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python -m pip install fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl
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```
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- [Python安装](../compile/prebuilt_wheels.md)
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- [C++安装](../compile/prebuilt_libraries.md)
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注意环境中不要重复安装`fastdeploy-python`和`fastdeploy-gpu-python`，在安装前，例如已安装cpu版本的`fastdeploy-python`后，如想重新安装gpu版本的`fastdeploy-gpu-python`，请先执行`pip uninstall fastdeploy-python`卸载已有版本
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## Linux
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## 其它文档
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| CPU安装包 | Python环境 | 支持硬件 |
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| ------------------------------------------------------------ | ---------- | -------- |
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| [fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl) | 3.6 | CPU |
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| [fastdeploy_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl) | 3.7 | CPU |
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| [fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl) | 3.8 | CPU |
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| [fastdeploy_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl) | 3.9 | CPU |
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| GPU安装包 | Python环境 | 支持硬件 |
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| ------------------------------------------------------------ | ---------- | -------- |
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| [fastdeploy_gpu_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl) | 3.6 | CPU/GPU(CUDA11.2 CUDNN8) |
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| [fastdeploy_gpu_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl) | 3.7 | CPU/GPU(CUDA11.2 CUDNN8) |
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| [fastdeploy_gpu_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl) | 3.8 | CPU/GPU(CUDA11.2 CUDNN8) |
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| [fastdeploy_gpu_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl) | 3.9 | CPU/GPU(CUDA11.2 CUDNN8) |
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- [视觉模型部署示例](../../examples/vision/) : 提供目标检测、图像分类、人脸检测等大量视觉模型在CPU/GPU以及TensorRT部署示例
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