Repository for the homeworks of Computer Vision course
XCode project is configured to include OpenCV library.
OpenCV is installed using command brew install opencv. The installation of OpenCV on the machine is located at '/usr/local/opt/opencv@4'
If it's needed, add OpenCV to the PATH:
echo 'export PATH="/usr/local/opt/opencv@4/bin:$PATH"' >> ~/.bash_profile
XCODE SETUP
To complete the configuration on XCode do the following steps:
- Go to Project file name
- Go to Build Settings
- Check All and Levels
- Search Linking
- Under Linking go to Other Linker Flags
- On Debug, click + and add this
-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 - Now go to Search Paths
- On Header Search Paths, go to Debug, click + and add this
/usr/local/opt/opencv@4/include/opencv4 - On Library Search Paths, go to Debug, click + and add this
/usr/local/opt/opencv@4/lib
After these steps, the OpenCV library is loaded in XCode. Make sure also in Signing & Capabilities tab, that is checked Disable Library Validation. Otherwise XCode will return an error in compile time.
The XCode setup is finished.
BUILD FROM TERMINAL
Follow this if it's needed to build through command line. It's not needed when is using XCode. To compile use this command:
g++ -I/usr/local/opt/opencv@4/include/opencv4 -L/usr/local/opt/opencv@4/lib -std=c++11 ./test.cpp -o ./test.o
And add the following flags needed for the linker based on modules that are used on the project:
-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
An example, if the core and highgui modules are used, the command to build is:
g++ -I/usr/local/opt/opencv@4/include/opencv4 -L/usr/local/opt/opencv@4/lib -lopencv_core -lopencv_highgui -std=c++11 ./test.cpp -o ./test.o