Zero to Hero: A Quick Guide to Object Tracking: MDNET, GOTURN, ROLO

by Ankit Sachan • April 29, 2019

  In today’s article, we shall deep dive into video object tracking. Starting from the basics, we shall understand the need for object tracking, and then go through the challenges and algorithmic models to understand visual object tracking, finally, we shall cover the most popular deep learning based approaches to object tracking including MDNET, GOTURN, […]

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Human pose estimation using Deep Learning in OpenCV

by Ankit Sachan • April 2, 2019

I recently came across a very interesting use-case of computer vision and AI. Runners Need is a UK based sports shoe brand. They offer automated gait analysis using computer vision before they sell you a customized shoe. Gait analysis is a method for identifying biomechanical abnormalities in the way in which you walk or run. A video […]

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Deep Learning based image colorization with OpenCV

by Ankit Sachan • March 25, 2019

In India, we celebrated the festival of color “Holi” last week. We celebrate the end of the winter with a splash of color because that’s what the spring will bring us in a few days. When I was young, the celebrations were sparse. It was the decade of frugal parenting. We waited for festivals so […]

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Deep Learning based Edge Detection in OpenCV

by Ankit Sachan • February 19, 2019

In this post, we will learn how to use deep learning based edge detection in OpenCV which is more accurate than the widely popular canny edge detector. Edge detection is useful in many use-cases such as visual saliency detection, object detection, tracking and motion analysis, structure from motion, 3D reconstruction, autonomous driving, image to text […]

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Man’s Search for the most accurate Neural Network Architecture

by Ankit Sachan • September 27, 2018

Neural network architecture design is one of the key hyperparameters in solving problems using deep learning and computer vision. Various neural networks are compared on two key factors i.e. accuracy and computational requirement. In general, as we aim to design more accurate neural networks, the computational requirement increases. In this post, we shall learn about […]

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