This page has information on how to install and use GoCV on macOS.
Install the GoCV package:
go get -u -d gocv.io/x/gocv
You can install OpenCV 4.9.0 using Homebrew.
If you already have an earlier version of OpenCV installed, you should update:
brew upgrade opencv
If this is your first time installing OpenCV 4.9.0:
brew install opencv
pkg-config is used to determine the correct flags for compiling and linking OpenCV. You can install it by using Homebrew:
brew install pkgconfig
Once you have installed OpenCV, you should be able to build or run any of the command examples:
go run ./cmd/version/main.go
The version program should output the following:
gocv version: 0.36.0
opencv lib version: 4.9.0
By default, pkg-config is used to determine the correct flags for compiling and linking OpenCV. This behavior can be disabled by supplying -tags customenv when building/running your application. When building with this tag you will need to supply the CGO environment variables yourself.
For example:
export CGO_CXXFLAGS="--std=c++11"
export CGO_CPPFLAGS="-I/usr/local/Cellar/opencv/4.9.0/include"
export CGO_LDFLAGS="-L/usr/local/Cellar/opencv/4.9.0/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"
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:
go run -tags customenv ./cmd/version/main.go