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all: update to use OpenCV 4.8.0
Signed-off-by: deadprogram <ron@hybridgroup.com>
1 parent 2b32c1b commit b4d400f

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.github/workflows/linux.yml

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jobs:
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build:
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runs-on: ubuntu-latest
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container: ghcr.io/hybridgroup/opencv:4.7.0
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container: ghcr.io/hybridgroup/opencv:4.8.0
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steps:
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- name: Checkout

Makefile

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GOCV_VERSION?="v0.31.0"
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# OpenCV version to use.
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OPENCV_VERSION?=4.7.0
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OPENCV_VERSION?=4.8.0
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# Go version to use when building Docker image
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GOVERSION?=1.16.2

README.md

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The GoCV package provides Go language bindings for the [OpenCV 4](http://opencv.org/) computer vision library.
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The GoCV package supports the latest releases of Go and OpenCV (v4.7.0) on Linux, macOS, and Windows. We intend to make the Go language a "first-class" client compatible with the latest developments in the OpenCV ecosystem.
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The GoCV package supports the latest releases of Go and OpenCV (v4.8.0) on Linux, macOS, and Windows. We intend to make the Go language a "first-class" client compatible with the latest developments in the OpenCV ecosystem.
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GoCV supports [CUDA](https://en.wikipedia.org/wiki/CUDA) for hardware acceleration using Nvidia GPUs. Check out the [CUDA README](./cuda/README.md) for more info on how to use GoCV with OpenCV/CUDA.
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@@ -122,15 +122,15 @@ There are examples in the [cmd directory](./cmd) of this repo in the form of var
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## How to install
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To install GoCV, you must first have the matching version of OpenCV installed on your system. The current release of GoCV requires OpenCV 4.7.0.
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To install GoCV, you must first have the matching version of OpenCV installed on your system. The current release of GoCV requires OpenCV 4.8.0.
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Here are instructions for Ubuntu, Raspian, macOS, and Windows.
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## Ubuntu/Linux
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### Installation
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You can use `make` to install OpenCV 4.7.0 with the handy `Makefile` included with this repo. If you already have installed OpenCV, you do not need to do so again. The installation performed by the `Makefile` is minimal, so it may remove OpenCV options such as Python or Java wrappers if you have already installed OpenCV some other way.
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You can use `make` to install OpenCV 4.8.0 with the handy `Makefile` included with this repo. If you already have installed OpenCV, you do not need to do so again. The installation performed by the `Makefile` is minimal, so it may remove OpenCV options such as Python or Java wrappers if you have already installed OpenCV some other way.
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#### Quick Install
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Make sure to change `$HOME/folder/with/your/src/` to where you actually want to save the code.
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Once you have cloned the repo, the following commands should do everything to download and install OpenCV 4.7.0 on Linux:
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Once you have cloned the repo, the following commands should do everything to download and install OpenCV 4.8.0 on Linux:
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cd gocv
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make install
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If it works correctly, at the end of the entire process, the following message should be displayed:
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gocv version: 0.33.0
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opencv lib version: 4.7.0
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opencv lib version: 4.8.0
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That's it, now you are ready to use GoCV.
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#### Make Install for OpenVINO and Cuda
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The following commands should do everything to download and install OpenCV 4.7.0 with CUDA and OpenVINO on Linux. Make sure to change `$HOME/folder/with/your/src/` to the directory you used to clone GoCV:
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The following commands should do everything to download and install OpenCV 4.8.0 with CUDA and OpenVINO on Linux. Make sure to change `$HOME/folder/with/your/src/` to the directory you used to clone GoCV:
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cd $HOME/folder/with/gocv/
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make install_all
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If it works correctly, at the end of the entire process, the following message should be displayed:
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gocv version: 0.33.0
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opencv lib version: 4.7.0-openvino
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opencv lib version: 4.8.0-openvino
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cuda information:
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Device 0: "GeForce MX150" 2003Mb, sm_61, Driver/Runtime ver.10.0/10.0
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#### Download source
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Now, download the OpenCV 4.7.0 and OpenCV Contrib source code:
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Now, download the OpenCV 4.8.0 and OpenCV Contrib source code:
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make download
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The version program should output the following:
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gocv version: 0.33.0
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opencv lib version: 4.7.0
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opencv lib version: 4.8.0
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#### Cleanup extra files
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### Installation
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We have a special installation for the Raspberry Pi that includes some hardware optimizations. You use `make` to install OpenCV 4.7.0 with the handy `Makefile` included with this repo. If you already have installed OpenCV, you do not need to do so again. The installation performed by the `Makefile` is minimal, so it may remove OpenCV options such as Python or Java wrappers if you have already installed OpenCV some other way.
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We have a special installation for the Raspberry Pi that includes some hardware optimizations. You use `make` to install OpenCV 4.8.0 with the handy `Makefile` included with this repo. If you already have installed OpenCV, you do not need to do so again. The installation performed by the `Makefile` is minimal, so it may remove OpenCV options such as Python or Java wrappers if you have already installed OpenCV some other way.
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#### Quick Install
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Make sure to change `$HOME/folder/with/your/src/` to where you actually want to save the code.
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The following make command should do everything to download and install OpenCV 4.7.0 on Raspbian:
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The following make command should do everything to download and install OpenCV 4.8.0 on Raspbian:
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cd $HOME/folder/with/your/src/gocv
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make install_raspi
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If it works correctly, at the end of the entire process, the following message should be displayed:
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gocv version: 0.33.0
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opencv lib version: 4.7.0
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opencv lib version: 4.8.0
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That's it, now you are ready to use GoCV.
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## macOS
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### Installation
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You can install OpenCV 4.7.0 using Homebrew.
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You can install OpenCV 4.8.0 using Homebrew.
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If you already have an earlier version of OpenCV (3.4.x) installed, you should probably remove it before installing the new version:
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brew uninstall opencv
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You can then install OpenCV 4.7.0:
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You can then install OpenCV 4.8.0:
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brew install opencv
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The version program should output the following:
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gocv version: 0.33.0
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opencv lib version: 4.7.0
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opencv lib version: 4.8.0
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### Custom Environment
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For example:
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export CGO_CXXFLAGS="--std=c++11"
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export CGO_CPPFLAGS="-I/usr/local/Cellar/opencv/4.7.0/include"
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export CGO_LDFLAGS="-L/usr/local/Cellar/opencv/4.7.0/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dnn_objdetect -lopencv_dpm -lopencv_face -lopencv_photo -lopencv_fuzzy -lopencv_hfs -lopencv_img_hash -lopencv_line_descriptor -lopencv_optflow -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_dnn -lopencv_plot -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ml -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_flann -lopencv_xobjdetect -lopencv_imgcodecs -lopencv_objdetect -lopencv_xphoto -lopencv_imgproc -lopencv_core"
390+
export CGO_CPPFLAGS="-I/usr/local/Cellar/opencv/4.8.0/include"
391+
export CGO_LDFLAGS="-L/usr/local/Cellar/opencv/4.8.0/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dnn_objdetect -lopencv_dpm -lopencv_face -lopencv_photo -lopencv_fuzzy -lopencv_hfs -lopencv_img_hash -lopencv_line_descriptor -lopencv_optflow -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_dnn -lopencv_plot -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ml -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_flann -lopencv_xobjdetect -lopencv_imgcodecs -lopencv_objdetect -lopencv_xphoto -lopencv_imgproc -lopencv_core"
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Please note that you will need to run these 3 lines of code one time in your current session in order to build or run the code, in order to setup the needed ENV variables. Once you have done so, you can execute code that uses GoCV with your custom environment like this:
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The following assumes that you are running a 64-bit version of Windows 10.
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In order to build and install OpenCV 4.7.0 on Windows, you must first download and install MinGW-W64 and CMake, as follows.
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In order to build and install OpenCV 4.8.0 on Windows, you must first download and install MinGW-W64 and CMake, as follows.
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#### MinGW-W64
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Download and install CMake [https://cmake.org/download/](https://cmake.org/download/) to the default location. CMake installer will add CMake to your system path.
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#### OpenCV 4.7.0 and OpenCV Contrib Modules
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#### OpenCV 4.8.0 and OpenCV Contrib Modules
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The following commands should do everything to download and install OpenCV 4.7.0 on Windows:
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The following commands should do everything to download and install OpenCV 4.8.0 on Windows:
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chdir %GOPATH%\src\gocv.io\x\gocv
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win_build_opencv.cmd
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The version program should output the following:
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gocv version: 0.33.0
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opencv lib version: 4.7.0
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opencv lib version: 4.8.0
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That's it, now you are ready to use GoCV.
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appveyor_build_opencv.cmd

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if not exist "C:\opencv\build" mkdir "C:\opencv\build"
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if not exist "C:\opencv\testdata" mkdir "C:\opencv\testdata"
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appveyor DownloadFile https://github.com/opencv/opencv/archive/4.7.0.zip -FileName c:\opencv\opencv-4.7.0.zip
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7z x c:\opencv\opencv-4.7.0.zip -oc:\opencv -y
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del c:\opencv\opencv-4.7.0.zip /q
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appveyor DownloadFile https://github.com/opencv/opencv_contrib/archive/4.7.0.zip -FileName c:\opencv\opencv_contrib-4.7.0.zip
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7z x c:\opencv\opencv_contrib-4.7.0.zip -oc:\opencv -y
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del c:\opencv\opencv_contrib-4.7.0.zip /q
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appveyor DownloadFile https://github.com/opencv/opencv/archive/4.8.0.zip -FileName c:\opencv\opencv-4.8.0.zip
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7z x c:\opencv\opencv-4.8.0.zip -oc:\opencv -y
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del c:\opencv\opencv-4.8.0.zip /q
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appveyor DownloadFile https://github.com/opencv/opencv_contrib/archive/4.8.0.zip -FileName c:\opencv\opencv_contrib-4.8.0.zip
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7z x c:\opencv\opencv_contrib-4.8.0.zip -oc:\opencv -y
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del c:\opencv\opencv_contrib-4.8.0.zip /q
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cd C:\opencv\build
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set PATH=C:\Perl\site\bin;C:\Perl\bin;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\7-Zip;C:\Program Files\Microsoft\Web Platform Installer\;C:\Tools\PsTools;C:\Program Files (x86)\CMake\bin;C:\go\bin;C:\Tools\NuGet;C:\Program Files\LLVM\bin;C:\Tools\curl\bin;C:\ProgramData\chocolatey\bin;C:\Program Files (x86)\Yarn\bin;C:\Users\appveyor\AppData\Local\Yarn\bin;C:\Program Files\AppVeyor\BuildAgent\
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set PATH=%PATH%;C:\mingw-w64\x86_64-8.1.0-posix-seh-rt_v6-rev0\mingw64\bin
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dir C:\opencv
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cmake C:\opencv\opencv-4.7.0 -G "MinGW Makefiles" -BC:\opencv\build -DENABLE_CXX11=ON -DOPENCV_EXTRA_MODULES_PATH=C:\opencv\opencv_contrib-4.7.0\modules -DBUILD_SHARED_LIBS=ON -DWITH_IPP=OFF -DWITH_MSMF=OFF -DBUILD_EXAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=ON -DBUILD_opencv_java=OFF -DBUILD_opencv_python=OFF -DBUILD_opencv_python2=OFF -DBUILD_opencv_python3=OFF -DBUILD_DOCS=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_wechat_qrcode=ON -DCPU_DISPATCH= -DBUILD_opencv_gapi=OFF -DOPENCV_GENERATE_PKGCONFIG=ON -DOPENCV_ENABLE_NONFREE=ON -DWITH_OPENCL_D3D11_NV=OFF -DOPENCV_ALLOCATOR_STATS_COUNTER_TYPE=int64_t -DWITH_TBB=ON -Wno-dev
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cmake C:\opencv\opencv-4.8.0 -G "MinGW Makefiles" -BC:\opencv\build -DENABLE_CXX11=ON -DOPENCV_EXTRA_MODULES_PATH=C:\opencv\opencv_contrib-4.8.0\modules -DBUILD_SHARED_LIBS=ON -DWITH_IPP=OFF -DWITH_MSMF=OFF -DBUILD_EXAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=ON -DBUILD_opencv_java=OFF -DBUILD_opencv_python=OFF -DBUILD_opencv_python2=OFF -DBUILD_opencv_python3=OFF -DBUILD_DOCS=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_wechat_qrcode=ON -DCPU_DISPATCH= -DBUILD_opencv_gapi=OFF -DOPENCV_GENERATE_PKGCONFIG=ON -DOPENCV_ENABLE_NONFREE=ON -DWITH_OPENCL_D3D11_NV=OFF -DOPENCV_ALLOCATOR_STATS_COUNTER_TYPE=int64_t -DWITH_TBB=ON -Wno-dev
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mingw32-make -j%NUMBER_OF_PROCESSORS%
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mingw32-make install
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appveyor DownloadFile https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/bvlc_googlenet.prototxt -FileName C:\opencv\testdata\bvlc_googlenet.prototxt
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appveyor DownloadFile https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip -FileName C:\opencv\testdata\inception5h.zip
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appveyor DownloadFile https://github.com/onnx/models/raw/main/vision/classification/inception_and_googlenet/googlenet/model/googlenet-9.onnx -FileName C:\opencv\testdata\googlenet-9.onnx
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7z x C:\opencv\testdata\inception5h.zip -oC:\opencv\testdata tensorflow_inception_graph.pb -y
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rmdir c:\opencv\opencv-4.7.0 /s /q
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rmdir c:\opencv\opencv_contrib-4.7.0 /s /q
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rmdir c:\opencv\opencv-4.8.0 /s /q
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rmdir c:\opencv\opencv_contrib-4.8.0 /s /q

version_test.go

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func TestVersions(t *testing.T) {
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ocvv := OpenCVVersion()
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if !strings.Contains(ocvv, "4.7") {
11+
if !strings.Contains(ocvv, "4.8") {
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t.Error("Wrong version of OpenCV:", ocvv)
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}
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win_build_opencv.cmd

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REM This is why there is no progress bar:
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REM https://github.com/PowerShell/PowerShell/issues/2138
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echo Downloading: opencv-4.7.0.zip [91MB]
15-
powershell -command "[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; $ProgressPreference = 'SilentlyContinue'; Invoke-WebRequest -Uri https://github.com/opencv/opencv/archive/4.7.0.zip -OutFile c:\opencv\opencv-4.7.0.zip"
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echo Downloading: opencv-4.8.0.zip [91MB]
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powershell -command "[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; $ProgressPreference = 'SilentlyContinue'; Invoke-WebRequest -Uri https://github.com/opencv/opencv/archive/4.8.0.zip -OutFile c:\opencv\opencv-4.8.0.zip"
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powershell -command "$ProgressPreference = 'SilentlyContinue'; Expand-Archive -Path c:\opencv\opencv-4.7.0.zip -DestinationPath c:\opencv"
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del c:\opencv\opencv-4.7.0.zip /q
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powershell -command "$ProgressPreference = 'SilentlyContinue'; Expand-Archive -Path c:\opencv\opencv-4.8.0.zip -DestinationPath c:\opencv"
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del c:\opencv\opencv-4.8.0.zip /q
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echo.
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echo Downloading: opencv_contrib-4.7.0.zip [58MB]
22-
powershell -command "[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; $ProgressPreference = 'SilentlyContinue'; Invoke-WebRequest -Uri https://github.com/opencv/opencv_contrib/archive/4.7.0.zip -OutFile c:\opencv\opencv_contrib-4.7.0.zip"
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echo Downloading: opencv_contrib-4.8.0.zip [58MB]
22+
powershell -command "[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; $ProgressPreference = 'SilentlyContinue'; Invoke-WebRequest -Uri https://github.com/opencv/opencv_contrib/archive/4.8.0.zip -OutFile c:\opencv\opencv_contrib-4.8.0.zip"
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echo Extracting...
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powershell -command "$ProgressPreference = 'SilentlyContinue'; Expand-Archive -Path c:\opencv\opencv_contrib-4.7.0.zip -DestinationPath c:\opencv"
25-
del c:\opencv\opencv_contrib-4.7.0.zip /q
24+
powershell -command "$ProgressPreference = 'SilentlyContinue'; Expand-Archive -Path c:\opencv\opencv_contrib-4.8.0.zip -DestinationPath c:\opencv"
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del c:\opencv\opencv_contrib-4.8.0.zip /q
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2828
echo Done with downloading and extracting sources.
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) else (
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set enable_shared=ON
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cmake C:\opencv\opencv-4.7.0 -G "MinGW Makefiles" -BC:\opencv\build -DENABLE_CXX11=ON -DOPENCV_EXTRA_MODULES_PATH=C:\opencv\opencv_contrib-4.7.0\modules -DBUILD_SHARED_LIBS=%enable_shared% -DWITH_IPP=OFF -DWITH_MSMF=OFF -DBUILD_EXAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=ON -DBUILD_opencv_java=OFF -DBUILD_opencv_python=OFF -DBUILD_opencv_python2=OFF -DBUILD_opencv_python3=OFF -DBUILD_DOCS=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_wechat_qrcode=ON -DCPU_DISPATCH= -DOPENCV_GENERATE_PKGCONFIG=ON -DWITH_OPENCL_D3D11_NV=OFF -DOPENCV_ALLOCATOR_STATS_COUNTER_TYPE=int64_t -Wno-dev
41+
cmake C:\opencv\opencv-4.8.0 -G "MinGW Makefiles" -BC:\opencv\build -DENABLE_CXX11=ON -DOPENCV_EXTRA_MODULES_PATH=C:\opencv\opencv_contrib-4.8.0\modules -DBUILD_SHARED_LIBS=%enable_shared% -DWITH_IPP=OFF -DWITH_MSMF=OFF -DBUILD_EXAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=ON -DBUILD_opencv_java=OFF -DBUILD_opencv_python=OFF -DBUILD_opencv_python2=OFF -DBUILD_opencv_python3=OFF -DBUILD_DOCS=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_wechat_qrcode=ON -DCPU_DISPATCH= -DOPENCV_GENERATE_PKGCONFIG=ON -DWITH_OPENCL_D3D11_NV=OFF -DOPENCV_ALLOCATOR_STATS_COUNTER_TYPE=int64_t -Wno-dev
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mingw32-make -j%NUMBER_OF_PROCESSORS%
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mingw32-make install
44-
rmdir c:\opencv\opencv-4.7.0 /s /q
45-
rmdir c:\opencv\opencv_contrib-4.7.0 /s /q
44+
rmdir c:\opencv\opencv-4.8.0 /s /q
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rmdir c:\opencv\opencv_contrib-4.8.0 /s /q
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chdir /D %GOPATH%\src\gocv.io\x\gocv

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