Unlike other OpenCV ruby binding projects like ruby-opencv or opencv-ffi this binding is automatically generated by parsing the OpenCV C++ headers. - D-Alex/ropencv

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# Install

• Install opencv librairies
  • tested with 4.5.4 / releases / release notes

$ VERSION=4.5.4 git clone https://github.com/opencv/opencv.git -b $VERSION --depth 1

• Install Ruby - no need to sudo using rbenv
• prerequesite
  • sudo apt-get install ruby-dev - needed to compile native gem
  • set a default python update-alternatives --install /usr/bin/python python /usr/bin/python3 1
    • it will be used to parse the c++ export define for python binding, and recreate the interface for ruby binding
• gem install ropencv

The last command will pick the opencv version installed and build binding to it.

# Test installation

Test some opencv call in ruby

# Display Video stream from first camera
require 'ropencv'
include OpenCV

video_file = cv::VideoCapture.new( 0)
cv::namedWindow("edges",1)
frame = cv::Mat.new

while true do
	video_file.read( frame)
	cv::imshow("edges", frame)
	cv::wait_key( 1)
end

# Known issue

• trackbar not wrapped? #40

# see also

• How OpenCV-Python bindings are generated? - OpenCV generates these wrapper functions automatically from the C++ headers using some Python scripts which are located in modules/python/src2.
• D-Alex/rbind - automatically genereating ffi-bindings for c/c++ libraries