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Getting Started with OpenCV

getting started with opencv feature

At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI. This series of posts will help you get started with OpenCV – the most popular computer vision library in the world. Also, check out Getting Started with PyTorch and Getting Started with Tensorflow / Keras.

OpenCV For Beginners

We have created a series of tutorials for absolute beginners to get started with OpenCV. You will find more information about other relevant topics and applications while going through each post.

There are lots of tutorials on the OpenCV website for C++ and Python that you should check out after finishing this series.

Here is a list of tutorials in this series:

Read, Display and Write an Image using OpenCV

Reading and Writing Videos using OpenCV

Image Resizing with OpenCV

Cropping an Image using OpenCV

Image Rotation and Translation Using OpenCV

Annotating Images Using OpenCV

Color spaces in OpenCV (C++ / Python)

Image Filtering Using Convolution in OpenCV

Image Thresholding in OpenCV

Blob Detection Using OpenCV ( Python, C++ )

Edge Detection Using OpenCV

Mouse and Trackbar in OpenCV GUI

Contour Detection using OpenCV (Python/C++)

Simple Background Estimation in Videos using OpenCV (C++/Python)

Deep Learning with OpenCV DNN Module: A Definitive Guide

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All views expressed on this site are my own and do not represent the opinions of OpenCV.org or any entity whatsoever with which I have been, am now, or will be affiliated.

About LearnOpenCV

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.

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