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bump version to v0.12.0 (#1594)
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‎CMakeLists.txt

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message(STATUS "CMAKE_INSTALL_PREFIX: ${CMAKE_INSTALL_PREFIX}")
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cmake_minimum_required(VERSION 3.14)
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project(MMDeploy VERSION 0.11.0)
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project(MMDeploy VERSION 0.12.0)
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set(CMAKE_CXX_STANDARD 17)
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‎demo/csharp/image_classification/image_classification.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="0.11.0" />
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<PackageReference Include="MMDeployCSharp" Version="0.12.0" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.Extensions" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />

‎demo/csharp/image_restorer/image_restorer.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="0.11.0" />
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<PackageReference Include="MMDeployCSharp" Version="0.12.0" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/image_segmentation/image_segmentation.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="0.11.0" />
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<PackageReference Include="MMDeployCSharp" Version="0.12.0" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/object_detection/object_detection.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="0.11.0" />
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<PackageReference Include="MMDeployCSharp" Version="0.12.0" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/ocr_detection/ocr_detection.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="0.11.0" />
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<PackageReference Include="MMDeployCSharp" Version="0.12.0" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/ocr_recognition/ocr_recognition.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="0.11.0" />
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<PackageReference Include="MMDeployCSharp" Version="0.12.0" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎demo/csharp/pose_detection/pose_detection.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="MMDeployCSharp" Version="0.11.0" />
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<PackageReference Include="MMDeployCSharp" Version="0.12.0" />
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<PackageReference Include="OpenCvSharp4" Version="4.5.5.20211231" />
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<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.5.5.20211231" />
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</ItemGroup>

‎docs/en/02-how-to-run/prebuilt_package_windows.md

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______________________________________________________________________
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This tutorial takes `mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1.zip` and `mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0.zip` as examples to show how to use the prebuilt packages.
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This tutorial takes `mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1.zip` and `mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0.zip` as examples to show how to use the prebuilt packages.
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The directory structure of the prebuilt package is as follows, where the `dist` folder is about model converter, and the `sdk` folder is related to model inference.
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5. Install `mmdeploy` (Model Converter) and `mmdeploy_python` (SDK Python API).
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```bash
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# download mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1.zip
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pip install .\mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1\dist\mmdeploy-0.11.0-py38-none-win_amd64.whl
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pip install .\mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1\sdk\python\mmdeploy_python-0.11.0-cp38-none-win_amd64.whl
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# download mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1.zip
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pip install .\mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1\dist\mmdeploy-0.12.0-py38-none-win_amd64.whl
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pip install .\mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1\sdk\python\mmdeploy_python-0.12.0-cp38-none-win_amd64.whl
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```
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:point_right: If you have installed it before, please uninstall it first.
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5. Install `mmdeploy` (Model Converter) and `mmdeploy_python` (SDK Python API).
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```bash
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# download mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0.zip
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pip install .\mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\dist\mmdeploy-0.11.0-py38-none-win_amd64.whl
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pip install .\mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\sdk\python\mmdeploy_python-0.11.0-cp38-none-win_amd64.whl
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# download mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0.zip
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pip install .\mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\dist\mmdeploy-0.12.0-py38-none-win_amd64.whl
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pip install .\mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\sdk\python\mmdeploy_python-0.12.0-cp38-none-win_amd64.whl
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```
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:point_right: If you have installed it before, please uninstall it first.
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```
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..
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|-- mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1
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|-- mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1
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|-- mmclassification
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|-- mmdeploy
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`-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
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```
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..
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|-- mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0
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|-- mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0
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|-- mmclassification
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|-- mmdeploy
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`-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
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```
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.
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|-- mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0
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|-- mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1
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|-- mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0
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|-- mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1
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|-- mmclassification
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|-- mmdeploy
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|-- resnet18_8xb32_in1k_20210831-fbbb1da6.pth
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1. Build examples
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Under `mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1\sdk\example` directory
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Under `mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1\sdk\example` directory
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```
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// Path should be modified according to the actual location
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mkdir build
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cd build
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cmake ..\cpp -A x64 -T v142 `
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-DOpenCV_DIR=C:\Deps\opencv\build\x64\vc15\lib `
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-DMMDeploy_DIR=C:\workspace\mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1\sdk\lib\cmake\MMDeploy `
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-DMMDeploy_DIR=C:\workspace\mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1\sdk\lib\cmake\MMDeploy `
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-DONNXRUNTIME_DIR=C:\Deps\onnxruntime\onnxruntime-win-gpu-x64-1.8.1
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cmake --build . --config Release
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:point_right: The purpose is to make the exe find the relevant dll
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If choose to add environment variables, add the runtime libraries path of `mmdeploy` (`mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1\sdk\bin`) to the `PATH`.
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If choose to add environment variables, add the runtime libraries path of `mmdeploy` (`mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1\sdk\bin`) to the `PATH`.
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If choose to copy the dynamic libraries, copy the dll in the bin directory to the same level directory of the just compiled exe (build/Release).
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3. Inference：
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It is recommended to use `CMD` here.
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Under `mmdeploy-0.11.0-windows-amd64-onnxruntime1.8.1\\sdk\\example\\build\\Release` directory：
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Under `mmdeploy-0.12.0-windows-amd64-onnxruntime1.8.1\\sdk\\example\\build\\Release` directory：
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```
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.\image_classification.exe cpu C:\workspace\work_dir\onnx\resnet\ C:\workspace\mmclassification\demo\demo.JPEG
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1. Build examples
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Under `mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\\sdk\\example` directory
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Under `mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\\sdk\\example` directory
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```
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mkdir build
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cmake ..\cpp -A x64 -T v142 `
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-DMMDeploy_DIR=C:\workspace\mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8 2.3.0\sdk\lib\cmake\MMDeploy `
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-DMMDeploy_DIR=C:\workspace\mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8 2.3.0\sdk\lib\cmake\MMDeploy `
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-DTENSORRT_DIR=C:\Deps\tensorrt\TensorRT-8.2.3.0 `
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:point_right: The purpose is to make the exe find the relevant dll
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If choose to add environment variables, add the runtime libraries path of `mmdeploy` (`mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\sdk\bin`) to the `PATH`.
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If choose to add environment variables, add the runtime libraries path of `mmdeploy` (`mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\sdk\bin`) to the `PATH`.
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If choose to copy the dynamic libraries, copy the dll in the bin directory to the same level directory of the just compiled exe (build/Release).
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It is recommended to use `CMD` here.
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Under `mmdeploy-0.11.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\\sdk\\example\\build\\Release` directory
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Under `mmdeploy-0.12.0-windows-amd64-cuda11.1-tensorrt8.2.3.0\\sdk\\example\\build\\Release` directory
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‎docs/en/get_started.md

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```shell
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tar -zxvf mmdeploy-0.11.0-linux-x86_64-onnxruntime1.8.1.tar.gz
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cd mmdeploy-0.11.0-linux-x86_64-onnxruntime1.8.1
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pip install dist/mmdeploy-0.11.0-py3-none-linux_x86_64.whl
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wget https://github.com/open-mmlab/mmdeploy/releases/download/v0.12.0/mmdeploy-0.12.0-linux-x86_64-onnxruntime1.8.1.tar.gz
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tar -zxvf mmdeploy-0.12.0-linux-x86_64-onnxruntime1.8.1.tar.gz
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cd mmdeploy-0.12.0-linux-x86_64-onnxruntime1.8.1
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pip install dist/mmdeploy-0.12.0-py3-none-linux_x86_64.whl
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pip install sdk/python/mmdeploy_python-0.12.0-cp38-none-linux_x86_64.whl
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pip install dist/mmdeploy-0.11.0-py3-none-linux_x86_64.whl
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wget https://github.com/open-mmlab/mmdeploy/releases/download/v0.12.0/mmdeploy-0.12.0-linux-x86_64-cuda11.1-tensorrt8.2.3.0.tar.gz
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tar -zxvf mmdeploy-0.12.0-linux-x86_64-cuda11.1-tensorrt8.2.3.0.tar.gz
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cd mmdeploy-0.12.0-linux-x86_64-cuda11.1-tensorrt8.2.3.0
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pip install dist/mmdeploy-0.12.0-py3-none-linux_x86_64.whl
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pip install sdk/python/mmdeploy_python-0.12.0-cp38-none-linux_x86_64.whl
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You can directly run MMDeploy demo programs in the precompiled package to get inference results.
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cd mmdeploy-0.12.0-linux-x86_64-cuda11.1-tensorrt8.2.3.0
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# run python demo
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python sdk/example/python/object_detection.py cuda ../mmdeploy_model/faster-rcnn ../mmdetection/demo/demo.jpg
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# run C/C++ demo

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