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# FastDeploy 预编译部署库 # FastDeploy 预编编译Python Wheel包
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。 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。
## 环境依赖 ## 环境依赖
- cmake >= 3.12
- g++/gcc >= 8.2
- cuda >= 11.2 - cuda >= 11.2
- cudnn >= 8.0 - cudnn >= 8.0
- g++ >= 5.4(推荐8.2)
## 下载地址 ## 下载地址
| 系统 | 架构 | 硬件 | 下载链接 | ### Linux x64平台
| :--- | :--- | :--- | :------- |
| Linux| x64 | CPU | [fastdeploy-linux-x64-0.2.0.tgz]() | | 部署库下载地址 | 硬件 | 说明 |
| Linux | x64 | CPU/GPU | [fastdeploy-linux-x64-gpu-0.2.0.tgz]() | | :------------- | :--- | :--- |
| Windows | x64 | CPU | [fastdeploy-win-x64-0.2.0.zip]() | | [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 |
| Windows | x64 | CPU/GPU | [fastdeploy-win-x64-gpu-0.2.0.zip]() | | [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 |
| Mac | x86_64 | CPU | [fastdeploy-osx-x86_64-0.2.0.tgz]() |
| Mac | arm64 | CPU | [fastdeploy-osx-arm64-0.2.0.tgz]() | ### Windows 10 x64平台
| 部署库下载地址 | 硬件 |
| :------------- | :--- |
| [comming...] | CPU |
| [comming...] | CPU/GPU |
### Linux aarch64平台
| 安装包 | 硬件 |
| :---- | :-- |
| [comming...] | CPU |
| [comming...] | Jetson |
### Mac OSX平台
| 部署库下载地址 | 架构 |硬件 |
| :---- | :-- | :------ |
| [comming...] | x86 | CPU |
| [comming...] | arm64 | CPU |
## 其它文档 ## 其它文档
- [预编译Python wheel包](./prebuilt_wheels.md) - [预编译Python安装包](./prebuilt_wheels.md)
- [FastDeploy C++部署](../../examples) - [视觉模型C++/Python部署示例](../../examples/vision/)

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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。 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。
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
```
python -m pip install fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl
```
## 注意事项
- 不要重复安装`fastdeploy-python`和`fastdeploy-gpu-python`
- 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
## 环境依赖 ## 环境依赖
- cuda >= 11.2 - cuda >= 11.2
@@ -9,16 +18,44 @@ FastDeploy提供了在Windows/Linux/Mac上的预先编译Python Wheel包，开
## 下载地址 ## 下载地址
| 系统 | 架构 | 硬件 | 下载链接 | ### Linux x64平台
| :--- | :--- | :--- | :------- |
| Linux| x64 | CPU | [fastdeploy-linux-x64-0.2.0.tgz]() | | CPU 安装包 | 硬件 | Python版本 |
| Linux | x64 | CPU/GPU | [fastdeploy-linux-x64-gpu-0.2.0.tgz]() | | :------------- | :--- | :--------- |
| Windows | x64 | CPU | [fastdeploy-win-x64-0.2.0.zip]() | | [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 |
| Windows | x64 | CPU/GPU | [fastdeploy-win-x64-gpu-0.2.0.zip]() | | [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 |
| Mac | x86_64 | CPU | [fastdeploy-osx-x86_64-0.2.0.tgz]() | | [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 |
| Mac | arm64 | CPU | [fastdeploy-osx-arm64-0.2.0.tgz]() | | [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 |
| GPU 安装包 | 硬件 | Python版本 |
| [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 |
| [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 |
| [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 |
| [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 |
### Windows 10 x64平台
| CPU 安装包 | 硬件 | Python版本 |
| :---- | :-- | :------ |
| [comming...] | CPU | 3.8 |
| [comming...] | CPU | 3.9 |
### Linux aarch64平台
| 安装包 | 硬件 | Python版本 |
| :---- | :-- | :------ |
| [comming...] | CPU | 3.7 |
| [comming...] | CPU | 3.8 |
| [comming...] | CPU | 3.9 |
### Mac OSX平台
| 架构 | 硬件 | 安装包 | Python版本 |
| :---- | :-- | :------ | :----- |
| x86_64 | CPU | [comming...] | 3.9 |
| arm64 | CPU | [comming...] | 3.9 |
## 其它文档 ## 其它文档
- [预编译C++部署库](./prebuilt_libraries.md) - [预编译C++部署库](./prebuilt_libraries.md)
- [FastDeploy C++部署](../../examples) - [视觉模型C++/Python部署示例](../../examples/vision/)

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# FastDeploy安装 # FastDeploy安装
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 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
``` - [Python安装](../compile/prebuilt_wheels.md)
python -m pip install fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl - [C++安装](../compile/prebuilt_libraries.md)
```
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
## Linux ## 其它文档
| CPU安装包 | Python环境 | 支持硬件 | - [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
| ------------------------------------------------------------ | ---------- | -------- |
| [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 |
| [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 |
| [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 |
| [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 |
| GPU安装包 | Python环境 | 支持硬件 |
| ------------------------------------------------------------ | ---------- | -------- |
| [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) |
| [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) |
| [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) |
| [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) |