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Read, Write and Display a video using OpenCV ( C++/ Python )

June 5, 2017 By Avinab Saha 61 Comments

Read, write and display video in OpenCV C++ and Python

In this post, we will learn how to read, write and display videos in OpenCV. Before we do that, allow me a digression into a bit of history of ...

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Filed Under: Computer Vision Stories, OpenCV 3, Tutorial Tagged With: C++, OpenCV, Python, Video

Get OpenCV Build Information ( getBuildInformation )

May 21, 2017 By Satya Mallick 1 Comment

In this tutorial, we will introduce a quick way to check your OpenCV build settings. If you have ever compiled or installed OpenCV, you know it ...

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Filed Under: Compile, how-to Tagged With: C++, OpenCV, Python

Automatic Red Eye Remover using OpenCV (C++ / Python)

March 7, 2017 By Satya Mallick 18 Comments

Automatic Red Eye Removal

In this tutorial, we will learn how to remove red eyes from a photo completely automatically. Just thinking about this problem of red-eye removal ...

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Filed Under: Application, Face, Object Detection, Tutorial Tagged With: C++, eyes, OpenCV, Python, red-eye

Head Pose Estimation using OpenCV and Dlib

September 26, 2016 By Satya Mallick 145 Comments

Head Pose Example

In this tutorial we will learn how to estimate the pose of a human head in a photo using OpenCV and Dlib. In many applications, we need to know how ...

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Filed Under: Application, Face, Tutorial Tagged With: dlib, Head Pose, OpenCV, Pose, solvepnp, solvepnpransac

Live CV : A Computer Vision Coding Application

July 17, 2016 By Dinu SV 2 Comments

  In this article I will present Live CV, a computer vision coding application, and describe a few of it's implementation details along the ...

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Filed Under: Application Tagged With: application, coding, homography, live cv, OpenCV, qml, qt

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I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field.

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. Read More…

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