Satya Mallick

So you have heard a lot about Deep Learning and Convolutional Neural Network, and you want to quickly try it out. But before you dive into the theory you want

Terms like “Homography” often remind me how we still struggle with communication. Homography is a simple concept with a weird name! In this post we will discuss Homography examples using

In this tutorial we will learn how to fill holes in a binary image. Consider the image on the left in Figure 1. Let’s say we want to find a

In OpenCV the class VideoCapture handles reading videos and grabbing frames from connected cameras. There is a lot of information you can find about the video file you are playing

In a previous post I discussed two libraries for facial landmark detection, and had pointed to several interesting applications like Face Morphing, Face Replacement etc. that use facial landmarks. In

We often confuse our tools for our craft. Tools help you practice your craft, but they do not make you a good craftsman. A good craftsman has many different tools

Who sees the human face correctly: the photographer, the mirror, or the painter? — Pablo Picasso If Picasso was alive today, he would have definitely added one more profession to

One of the elements of good design is the principle of least astonishment ( a.k.a principle of least surprise). A good intuitive design makes the user not think. When you

In this tutorial we will first show a simple way to pseudocolor / false color a grayscale image using OpenCV’s predefined colormaps. We will also show a way to define a custom

The image on the left is part of a historic collection of photographs called the Prokudin-Gorskii collection. The image was taken by a Russian photographer in the early 1900s using

OpenCV 3.0 was released recently, and you might be thinking of upgrading your code base. OpenCV 2 code will most likely not compile with OpenCV 3 because the new version

I met Dr. Ren Wu a day after his team at Baidu announced a spectacular result on ImageNet’s LSVRC 2015 challenge beating Google and Microsoft by a rather large margin.

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