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| author | Yogesh Ojha <yogesh.ojha11@gmail.com> | 2018-10-06 20:09:15 +0530 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-10-06 20:09:15 +0530 |
| commit | dcaec93a0e4b629bb07fcdd72dcb4c71b0d52530 (patch) | |
| tree | 11f0244393729c9b1a363be3e6a1a7530a79d1df | |
| parent | e89ab955d8f599f70d6c331aa6c16040e4b7e4a3 (diff) | |
Update on opencv until read image
| -rw-r--r-- | opencv.html.markdown | 45 |
1 files changed, 41 insertions, 4 deletions
diff --git a/opencv.html.markdown b/opencv.html.markdown index 75ef7168..7e048df5 100644 --- a/opencv.html.markdown +++ b/opencv.html.markdown @@ -1,15 +1,52 @@ --- -language: c++ -filename: learncpp.cpp +language: c++/python +filename: learnopencv.py contributors: - ["Yogesh Ojha", "http://github.com/yogeshojha"] --- -# Opencv +### Opencv + +OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. +Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel). +Opencv currently supports wide variety of languages like, C++, Python, Java etc + +#### Installation +Please refer to these articles for installation of OpenCV on your computer. +* Windows Installation Instructions: +<https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html#install-opencv-python-in-windows> + +* Mac Installation Instructions (High Sierra): +https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a + +* Linux Installation Instructions (Ubuntu 18.04): +<https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv/> + +### Here we will be focusing on python implementation of OpenCV + +* __Reading image in OpenCV__ +``` +import cv2 +img = cv2.imread('cat.jpg') +# Simple isn't it? +# Displaying the image +# imshow() function is used to display the image +cv2.imshow('Image',img) +# Your first arguement is the title of the window and second parameter is image +# If you are getting error, Object Type None, your image path may be wrong. Please recheck the pack to the image +cv2.waitKey(0) +# waitKey() is a keyboard binding function and takes arguement in milliseconds. For GUI events you MUST use waitKey() function. +``` Further Reading: An up-to-date language reference can be found at -<http://cppreference.com/w/cpp> +<https://opencv.org/> Additional resources may be found at <https://en.wikipedia.org/wiki/OpenCV> + +Good OpenCv Tutorials +<https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html> +<https://realpython.com/python-opencv-color-spaces/> +<https://pyimagesearch.com> +<https://www.learnopencv.com> |