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Update version number in all documents (#251)

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update version
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Jason
2022-09-17 22:33:59 +08:00
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parent 5e8429f376
commit 79c3dcc241
27 changed files with 91 additions and 91 deletions
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12
docs/compile/how_to_build_windows.md
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@@ -17,11 +17,11 @@ git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy && git checkout develop cd FastDeploy && git checkout develop
mkdir build && cd build mkdir build && cd build
cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0 -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64 -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON
msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64 msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64 msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
``` ```
编译后，FastDeploy CPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0`目录下 编译后，FastDeploy CPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64`目录下
## 编译GPU版本 C++ SDK ## 编译GPU版本 C++ SDK
@@ -32,7 +32,7 @@ git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy && git checkout develop cd FastDeploy && git checkout develop
mkdir build && cd build mkdir build && cd build
cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0 -DWITH_GPU=ON -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON -DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2" cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu -DWITH_GPU=ON -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON -DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2"
msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64 msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64 msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
@@ -42,7 +42,7 @@ msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
% (3) 若编译TensorRT后端，需要设置-DENABLE_TRT_BACKEND=ON，并指定TRT_DIRECTORY % % (3) 若编译TensorRT后端，需要设置-DENABLE_TRT_BACKEND=ON，并指定TRT_DIRECTORY %
% (4) 如-DTRT_DIRECTORY=D:\x64\third_party\TensorRT-8.4.1.5 % % (4) 如-DTRT_DIRECTORY=D:\x64\third_party\TensorRT-8.4.1.5 %
``` ```
编译后，FastDeploy GPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0`目录下 编译后，FastDeploy GPU C++ SDK即在`D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu`目录下
## 编译CPU版本 Python Wheel包 ## 编译CPU版本 Python Wheel包
@@ -62,7 +62,7 @@ C:\Python38\python.exe setup.py bdist_wheel
``` ```
编译好的wheel文件在dist目录下，pip安装编译好的wheel包，命令如下 编译好的wheel文件在dist目录下，pip安装编译好的wheel包，命令如下
```bat ```bat
C:\Python38\python.exe -m pip install dist\fastdeploy_python-0.2.0-cp38-cp38-win_amd64.whl C:\Python38\python.exe -m pip install dist\fastdeploy_python-0.2.1-cp38-cp38-win_amd64.whl
``` ```
## 编译GPU版本 Python Wheel包 ## 编译GPU版本 Python Wheel包
@@ -89,6 +89,6 @@ C:\Python38\python.exe setup.py bdist_wheel
``` ```
编译好的wheel文件在dist目录下，pip安装编译好的wheel包，命令如下 编译好的wheel文件在dist目录下，pip安装编译好的wheel包，命令如下
```bat ```bat
C:\Python38\python.exe -m pip install dist\fastdeploy_gpu_python-0.2.0-cp38-cp38-win_amd64.whl C:\Python38\python.exe -m pip install dist\fastdeploy_gpu_python-0.2.1-cp38-cp38-win_amd64.whl
``` ```
更多编译选项说明参考[编译指南](./README.md) 更多编译选项说明参考[编译指南](./README.md)

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docs/compile/how_to_use_sdk_on_windows.md
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@@ -18,7 +18,7 @@
## 下载 FastDeploy Windows 10 C++ SDK ## 下载 FastDeploy Windows 10 C++ SDK
可以从以下链接下载编译好的 FastDeploy Windows 10 C++ SDK，SDK中包含了examples代码。 可以从以下链接下载编译好的 FastDeploy Windows 10 C++ SDK，SDK中包含了examples代码。
```text ```text
https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.0.zip https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.1.zip
``` ```
## 准备模型文件和测试图片 ## 准备模型文件和测试图片
可以从以下链接下载模型文件和测试图片，并解压缩 可以从以下链接下载模型文件和测试图片，并解压缩
@@ -34,7 +34,7 @@ cd fastdeploy-win-x64-gpu-0.2.0\examples\vision\detection\paddledetection\cpp
``` ```
```bat ```bat
mkdir build && cd build mkdir build && cd build
cmake .. -G "Visual Studio 16 2019" -A x64 -DFASTDEPLOY_INSTALL_DIR=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0 -DCUDA_DIRECTORY="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.2" cmake .. -G "Visual Studio 16 2019" -A x64 -DFASTDEPLOY_INSTALL_DIR=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.1 -DCUDA_DIRECTORY="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.2"
``` ```
然后执行 然后执行
```bat ```bat
@@ -44,7 +44,7 @@ msbuild infer_demo.sln /m:4 /p:Configuration=Release /p:Platform=x64
#### 方式一：命令行设置环境变量 #### 方式一：命令行设置环境变量
编译好的exe保存在Release目录下，在运行demo前，需要将模型和测试图片拷贝至该目录。另外，需要在终端指定DLL的搜索路径。请在build目录下执行以下命令。 编译好的exe保存在Release目录下，在运行demo前，需要将模型和测试图片拷贝至该目录。另外，需要在终端指定DLL的搜索路径。请在build目录下执行以下命令。
```bat ```bat
set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0 set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.1
set PATH=%FASTDEPLOY_PATH%\lib;%FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib;%FASTDEPLOY_PATH%\third_libs\install\opencv-win-x64-3.4.16\build\x64\vc15\bin;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\paddle\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mkldnn\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mklml\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle2onnx\lib;%FASTDEPLOY_PATH%\third_libs\install\tensorrt\lib;%FASTDEPLOY_PATH%\third_libs\install\yaml-cpp\lib;%PATH% set PATH=%FASTDEPLOY_PATH%\lib;%FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib;%FASTDEPLOY_PATH%\third_libs\install\opencv-win-x64-3.4.16\build\x64\vc15\bin;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\paddle\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mkldnn\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle_inference\third_party\install\mklml\lib;%FASTDEPLOY_PATH%\third_libs\install\paddle2onnx\lib;%FASTDEPLOY_PATH%\third_libs\install\tensorrt\lib;%FASTDEPLOY_PATH%\third_libs\install\yaml-cpp\lib;%PATH%
``` ```
注意，需要拷贝onnxruntime.dll到exe所在的目录。 注意，需要拷贝onnxruntime.dll到exe所在的目录。
@@ -59,7 +59,7 @@ C:\Windows\System32\onnxruntime.dll # windows自带的onnxruntime.dll
#### 方式二：拷贝依赖库到exe的目录下 #### 方式二：拷贝依赖库到exe的目录下
手动拷贝，或者在build目录下执行以下命令： 手动拷贝，或者在build目录下执行以下命令：
```bat ```bat
set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.0 set FASTDEPLOY_PATH=%cd%\..\..\..\..\..\..\..\fastdeploy-win-x64-gpu-0.2.1
copy /Y %FASTDEPLOY_PATH%\lib\*.dll Release\ copy /Y %FASTDEPLOY_PATH%\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib\*.dll Release\ copy /Y %FASTDEPLOY_PATH%\third_libs\install\onnxruntime\lib\*.dll Release\
copy /Y %FASTDEPLOY_PATH%\third_libs\install\opencv-win-x64-3.4.16\build\x64\vc15\bin\*.dll Release\ copy /Y %FASTDEPLOY_PATH%\third_libs\install\opencv-win-x64-3.4.16\build\x64\vc15\bin\*.dll Release\

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docs/docs_en/compile/how_to_build_windows.md
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@@ -17,12 +17,12 @@ git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy && git checkout develop cd FastDeploy && git checkout develop
mkdir build && cd build mkdir build && cd build
cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0 -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.1-DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON
msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64 msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64 msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64
``` ```
After compilation, the FastDeploy CPU C++ SDK is in the `D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.0` directory After compilation, the FastDeploy CPU C++ SDK is in the `D:\Paddle\FastDeploy\build\fastdeploy-win-x64-0.2.1` directory
## Compile C++ SDK for GPU ## Compile C++ SDK for GPU
@@ -33,7 +33,7 @@ git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy && git checkout develop cd FastDeploy && git checkout develop
mkdir build && cd build mkdir build && cd build
cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.0 -DWITH_GPU=ON -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON -DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2" cmake .. -G "Visual Studio 16 2019" -A x64 -DCMAKE_INSTALL_PREFIX=D:\Paddle\FastDeploy\build\fastdeploy-win-x64-gpu-0.2.1 -DWITH_GPU=ON -DENABLE_ORT_BACKEND=ON -DENABLE_PADDLE_BACKEND=ON -DENABLE_VISION=ON -DENABLE_VISION_VISUALIZE=ON -DCUDA_DIRECTORY="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2"
msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64 msbuild fastdeploy.sln /m /p:Configuration=Release /p:Platform=x64
msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64 msbuild INSTALL.vcxproj /m /p:Configuration=Release /p:Platform=x64

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docs/docs_en/quick_start/install_cpp_sdk.md
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@@ -14,15 +14,15 @@ FastDeploy provides prebuilt CPP deployment libraries on Windows/Linux/Mac. Deve
| SDK Download Link | Hardware | Description | | SDK Download Link | Hardware | Description |
|:--------------------------------------------------------------------------------------------------------------------- |:-------- |:---------------------------------------- | |:--------------------------------------------------------------------------------------------------------------------- |:-------- |:---------------------------------------- |
| [fastdeploy-linux-x64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz) | CPU | Built with g++ 8.2 | | [fastdeploy-linux-x64-0.2.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz) | CPU | Built with g++ 8.2 |
| [fastdeploy-linux-x64-gpu-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz) | CPU/GPU | Built with g++ 8.2, cuda 11.2, cudnn 8.2 | | [fastdeploy-linux-x64-gpu-0.2.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz) | CPU/GPU | Built with g++ 8.2, cuda 11.2, cudnn 8.2 |
### Windows 10 x64 ### Windows 10 x64
| SDK Download Link | Hardware | Description | | SDK Download Link | Hardware | Description |
|:----------------------------------------------------------------------------------------------------------------- |:-------- |:----------------------------------------------------- | |:----------------------------------------------------------------------------------------------------------------- |:-------- |:----------------------------------------------------- |
| [fastdeploy-win-x64-0.2.0.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-0.2.0.zip) | CPU | Built with Visual Studio 16 2019 | | [fastdeploy-win-x64-0.2.1.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-0.2.1.zip) | CPU | Built with Visual Studio 16 2019 |
| [fastdeploy-win-x64-gpu-0.2.0.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.0.zip) | CPU/GPU | Built with Visual Studio 16 2019，cuda 11.2, cudnn 8.2 | | [fastdeploy-win-x64-gpu-0.2.1.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-0.2.1.zip) | CPU/GPU | Built with Visual Studio 16 2019，cuda 11.2, cudnn 8.2 |
### Linux aarch64 ### Linux aarch64
@@ -35,8 +35,8 @@ FastDeploy provides prebuilt CPP deployment libraries on Windows/Linux/Mac. Deve
| SDK Download Link | Architecture | Hardware | | SDK Download Link | Architecture | Hardware |
|:--------------------------------------------------------------------------------------------------------------- |:------------ |:-------- | |:--------------------------------------------------------------------------------------------------------------- |:------------ |:-------- |
| [fastdeploy-osx-x86_64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-x86_64-0.2.0.tgz) | x86 | CPU | | [fastdeploy-osx-x86_64-0.2.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-x86_64-0.2.1.tgz) | x86 | CPU |
| [fastdeploy-osx-arm64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-arm64-0.2.0.tgz) | arm64 | CPU | | [fastdeploy-osx-arm64-0.2.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-arm64-0.2.1.tgz) | arm64 | CPU |
## Other related docs ## Other related docs

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docs/quick_start/CPP_prebuilt_libraries.md
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@@ -14,8 +14,8 @@ FastDeploy提供了在Windows/Linux/Mac上的预先编译CPP部署库，开发
| 部署库下载地址 | 硬件 | 说明 | | 部署库下载地址 | 硬件 | 说明 |
| :------------- | :--- | :--- | | :------------- | :--- | :--- |
| [fastdeploy-linux-x64-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz) | CPU | g++ 8.2编译产出 | | [fastdeploy-linux-x64-0.2.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz) | CPU | g++ 8.2编译产出 |
| [fastdeploy-linux-x64-gpu-0.2.0.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz) | CPU/GPU | g++ 8.2, cuda 11.2, cudnn 8.2编译产出 | | [fastdeploy-linux-x64-gpu-0.2.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz) | CPU/GPU | g++ 8.2, cuda 11.2, cudnn 8.2编译产出 |
### Windows 10 x64平台 ### Windows 10 x64平台

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examples/vision/classification/paddleclas/cpp/README.md
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@@ -11,12 +11,12 @@
```bash ```bash
#下载SDK，编译模型examples代码（SDK中包含了examples代码） #下载SDK，编译模型examples代码（SDK中包含了examples代码）
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-gpu-0.2.0.tgz tar xvf fastdeploy-linux-x64-gpu-0.2.1.tgz
cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/classification/paddleclas/cpp cd fastdeploy-linux-x64-gpu-0.2.1/examples/vision/classification/paddleclas/cpp
mkdir build mkdir build
cd build cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.1
make -j make -j
# 下载ResNet50_vd模型文件和测试图片 # 下载ResNet50_vd模型文件和测试图片

6
examples/vision/detection/nanodet_plus/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的NanoDetPlus模型文件和测试图片 #下载官方转换好的NanoDetPlus模型文件和测试图片

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examples/vision/detection/paddledetection/cpp/README.md
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@@ -13,11 +13,11 @@
以ppyoloe为例进行推理部署 以ppyoloe为例进行推理部署
#下载SDK，编译模型examples代码（SDK中包含了examples代码） #下载SDK，编译模型examples代码（SDK中包含了examples代码）
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-gpu-0.2.0.tgz tar xvf fastdeploy-linux-x64-gpu-0.2.1.tgz
cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/detection/paddledetection/cpp cd fastdeploy-linux-x64-gpu-0.2.1/examples/vision/detection/paddledetection/cpp
mkdir build && cd build mkdir build && cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.1
make -j make -j
# 下载PPYOLOE模型文件和测试图片 # 下载PPYOLOE模型文件和测试图片

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examples/vision/detection/scaledyolov4/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的ScaledYOLOv4模型文件和测试图片 #下载官方转换好的ScaledYOLOv4模型文件和测试图片

6
examples/vision/detection/yolor/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的YOLOR模型文件和测试图片 #下载官方转换好的YOLOR模型文件和测试图片

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examples/vision/detection/yolov5/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的yolov5模型文件和测试图片 #下载官方转换好的yolov5模型文件和测试图片

6
examples/vision/detection/yolov5lite/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的YOLOv5Lite模型文件和测试图片 #下载官方转换好的YOLOv5Lite模型文件和测试图片

6
examples/vision/detection/yolov6/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的YOLOv6模型文件和测试图片 #下载官方转换好的YOLOv6模型文件和测试图片

6
examples/vision/detection/yolov7/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的yolov7模型文件和测试图片 #下载官方转换好的yolov7模型文件和测试图片

6
examples/vision/detection/yolov7end2end_ort/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-gpu-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-gpu-0.2.1
make -j make -j
# 如果预编译库还没有支持该模型，请从develop分支源码编译最新的SDK # 如果预编译库还没有支持该模型，请从develop分支源码编译最新的SDK

6
examples/vision/detection/yolov7end2end_trt/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-gpu-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-gpu-0.2.1
make -j make -j
# 若预编译库没有支持该类 则请自行从源码develop分支编译最新的FastDeploy C++ SDK # 若预编译库没有支持该类 则请自行从源码develop分支编译最新的FastDeploy C++ SDK

6
examples/vision/detection/yolox/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的YOLOX模型文件和测试图片 #下载官方转换好的YOLOX模型文件和测试图片

6
examples/vision/facedet/retinaface/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的RetinaFace模型文件和测试图片 #下载官方转换好的RetinaFace模型文件和测试图片

6
examples/vision/facedet/scrfd/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的SCRFD模型文件和测试图片 #下载官方转换好的SCRFD模型文件和测试图片

6
examples/vision/facedet/ultraface/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的UltraFace模型文件和测试图片 #下载官方转换好的UltraFace模型文件和测试图片

6
examples/vision/facedet/yolov5face/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的YOLOv5Face模型文件和测试图片 #下载官方转换好的YOLOv5Face模型文件和测试图片

6
examples/vision/faceid/insightface/cpp/README.md
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@@ -12,9 +12,9 @@
```bash ```bash
mkdir build mkdir build
cd build cd build
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的ArcFace模型文件和测试图片 #下载官方转换好的ArcFace模型文件和测试图片

6
examples/vision/matting/modnet/cpp/README.md
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@@ -10,11 +10,11 @@
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 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 ```bash
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
mkdir build && cd build mkdir build && cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j
#下载官方转换好的MODNet模型文件和测试图片 #下载官方转换好的MODNet模型文件和测试图片

8
examples/vision/matting/ppmatting/cpp/README.md
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@@ -11,11 +11,11 @@
```bash ```bash
#下载SDK，编译模型examples代码（SDK中包含了examples代码） #下载SDK，编译模型examples代码（SDK中包含了examples代码）
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-gpu-0.2.0.tgz tar xvf fastdeploy-linux-x64-gpu-0.2.1.tgz
cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/matting/ppmatting/cpp/ cd fastdeploy-linux-x64-gpu-0.2.1/examples/vision/matting/ppmatting/cpp/
mkdir build && cd build mkdir build && cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.1
make -j make -j
# 下载PPMatting模型文件和测试图片 # 下载PPMatting模型文件和测试图片

6
examples/vision/ocr/PPOCRSystemv2/cpp/README.md
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@@ -12,9 +12,9 @@
``` ```
mkdir build mkdir build
cd build cd build
wget https://https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j

6
examples/vision/ocr/PPOCRSystemv3/cpp/README.md
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@@ -12,9 +12,9 @@
``` ```
mkdir build mkdir build
cd build cd build
wget https://https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://https://bj.bcebos.com/paddlehub/fastdeploy/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-0.2.0.tgz tar xvf fastdeploy-linux-x64-0.2.1.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-0.2.1
make -j make -j

8
examples/vision/segmentation/paddleseg/cpp/README.md
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@@ -10,12 +10,12 @@
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 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 ```bash
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.1.tgz
tar xvf fastdeploy-linux-x64-gpu-0.2.0.tgz tar xvf fastdeploy-linux-x64-gpu-0.2.1.tgz
cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/segmentation/paddleseg/cpp/ cd fastdeploy-linux-x64-gpu-0.2.1/examples/vision/segmentation/paddleseg/cpp/
mkdir build mkdir build
cd build cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.1
make -j make -j
# 下载Unet模型文件和测试图片 # 下载Unet模型文件和测试图片