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Brew install opencv 2
Brew install opencv 2











Once the OpenCV is successfully installed, create a new Xcode project for macOS as a Command Line Tool and go to the Build Settings. It will give something like this: -I/usr/local/Cellar/opencv/4.2.0_1/include/opencv4/opencv -I/usr/local/Cellar/opencv/4.2.0_1/include/opencv4 -L/usr/local/Cellar/opencv/4.2.0_1/lib -lopencv_gapi -lopencv_stitching -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dnn_objdetect -lopencv_dnn_superres -lopencv_dpm -lopencv_highgui -lopencv_face -lopencv_freetype -lopencv_fuzzy -lopencv_hfs -lopencv_img_hash -lopencv_line_descriptor -lopencv_quality -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_sfm -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_superres -lopencv_optflow -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_text -lopencv_dnn -lopencv_plot -lopencv_videostab -lopencv_videoio -lopencv_xfeatures2d -lopencv_shape -lopencv_ml -lopencv_ximgproc -lopencv_video -lopencv_xobjdetect -lopencv_objdetect -lopencv_calib3d -lopencv_imgcodecs -lopencv_features2d -lopencv_flann -lopencv_xphoto -lopencv_photo -lopencv_imgproc -lopencv_core

brew install opencv 2

Since you want to use OpenCV library in your project and want to know all the flags to pass to compiler, you need to do pkg-config -cflags -libs opencv4 To install it, use brew install pkg-config Pkg-config is a very handy tool to ask for package information to use in your projects. It will install all dependencies on the fly as well. Then the easiest way to install OpenCV libary is brew install opencv Install OpenCV on macOSīecause you are a macOS user, you probably already use homebrew for package management. If you are interested in using OpenCV in your Xcode project, the following steps might help you.

brew install opencv 2

Developers using macOS as their primary operating system may use Xcode IDE since it is a key development environment to creating applications for Apple products. OpenCV is one of the best if not the best computer vision library to use and therefore, many people with various backgrounds get their hands dirty trying it out.













Brew install opencv 2