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You can adjust the j option with respect to the hardware available. With all the eight cores ( j8 stands for eight cores here) chugging along, this step took ~8 minutes for me. Next, we launch the make command - make -j8. The compilation took ~3 minutes for me and it should produce outputs like so. Now, before you run the above cmake command, activate the conda environment you created in an earlier step ( conda activate ) if you haven’t already. For these two arguments, you would want to first determine the paths and then supply them accordingly. Also, please pay attention to the following arguments - OPENCV_EXTRA_MODULES_PATH and PYTHON3_EXECUTABLE. D PYTHON3_EXECUTABLE =/Users/sayakpaul/miniforge3/envs/dev/bin/python3 \Īs per this issue comment, DCMAKE_SYSTEM_PROCESSOR, DCMAKE_OSX_ARCHITECTURES, DWITH_OPENJPEG, and DWITH_IPP are needed to be set during the compilation step. Let me show you a quick demonstration to see how it works when we run the program.-D OPENCV_EXTRA_MODULES_PATH =/Users/sayakpaul/Downloads/opencv_contrib-4.5.0/modules \ Perfect! We are done with the programming part. Lastly, we are calling the main function to trigger the program.OpenCV is doing all the work, we just need to call the methods. And then we are closing the application window. ![]()
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