My Experiments with Computer Vision Using Python

Installation of opencv3 with python3 support on macOS Sierra 10.12

Installation through traditional make build failed due to QT library issues on Sierra However homebrew installation was successful using the following options

$ brew reinstall opencv3 --with-python3 --with-ffmpeg --with-tbb --with-contrib

After the build the shared object representing the python bindings needs to be linked from the PYTHONPATH location as follows.

$ cd /usr/local/lib/python3.5/site-packages
$ ln -s /usr/local/Cellar/opencv3/HEAD-6328076_4/lib/python3.5/site-packages/cv2.cpython-35m-darwin.so cv2.so

# list the required dylib packages
#
λ pkg-config --cflags --libs /usr/local/opt/opencv3/lib/pkgconfig/opencv.pc
-I/usr/local/Cellar/opencv3/3.2.0/include/opencv -I/usr/local/Cellar/opencv3/3.2.0/include -L/usr/local/Cellar/opencv3/3.2.0/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dpm -lopencv_fuzzy -lopencv_line_descriptor -lopencv_optflow -lopencv_reg -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_rgbd -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_text -lopencv_face -lopencv_plot -lopencv_dnn -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_flann -lopencv_xobjdetect -lopencv_objdetect -lopencv_ml -lopencv_xphoto -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_photo -lopencv_imgproc -lopencv_core

Some random exrcises for image and vision handling using Python.

Following are some of the major python bindings and libraries required for opencv3 build and used here

• opencv 3.x.x
• mahootas
• numpy
• matplotlib
• scipy
• scikitlearn