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OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. There have been a lot of bug fixes and other changes in these versions. The release highlights are as follows: OpenCV is

In this post, we will understand what is Yolov3 and learn how to use YOLOv3 — a state-of-the-art object detector — with OpenCV. YOLOv3 is the latest variant of a

In this post, we will cover how to use OpenCV’s multi-object tracking API implemented using the MultiTracker class. We will share code in both C++ and Python. Before we dive

This post explains the implementation of Support Vector Machines (SVMs) using Scikit-Learn library in Python. We had discussed the math-less details of SVMs in the earlier post. In this post,

In this post, we will learn about a Deep Learning based object tracking algorithm called GOTURN. The original implementation of GOTURN is in Caffe, but it has been ported to

In this post, we will learn what Batch Normalization is, why it is needed, how it works, and how to implement it using Keras. Batch Normalization was first introduced by

This summer I am doing an internship at Big Vision LLC under the guidance of Dr. Satya Mallick. In this post, I will describe the problem I was asked to

Football has been one of the most followed sports in the past decades. With an average attendance of 53k in a single match for the past years, let’s get into

Photography is the favorite hobby of millions of people around the world. After all, how difficult can it be! In the words of Diane Arbus, a famous American photographer —

In this article, we will learn deep learning based OCR and how to recognize text in images using an open-source tool called Tesseract and OpenCV. The method of extracting text

Imagine writing a Computer Vision library using OpenCV. You want your code to be easily portable to Linux, Mac, Windows, iOS, Android and even embedded devices. So you choose to

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