Python

We describe how to do image classification in PyTorch. We use a subset of CalTech256 dataset to classify 10 different kinds of animals.

If you are a Harry Potter fan like me, you would know what an Invisibility Cloak is. Yes! It’s the cloak which Harry Potter uses to become invisible. Of course,

The common saying is, “A picture is worth a thousand words.” In this post, we will take that literally and try to find the words in a picture! In an

In this post, we will learn how to squeeze the maximum performance out of OpenCV’s Deep Neural Network (DNN) module using Intel’s OpenVINO toolkitpost, we compared the performance of OpenCV

A few weeks back we published a post about Universal Sentence Encoders. We discussed how to use the encoders and their application in Semantic Similarity Analysis. In this post, we

There are three important parts of Artificial Intelligence Natural Language Processing Speech Computer Vision This post falls in the first category. In this post, we will learn a tool called

In this tutorial, we will discuss the various Face Detection methods in OpenCV, Dlib, and Deep Learning and compare the methods quantitatively. We will share code in C++ and Python

A few weeks back we wrote a post on Object detection using YOLOv3. In this post we will discuss Mask RCNN in OpenCV. The output of an object detector 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 learn how to find the Convex Hull of a shape (a group of points). We will briefly explain the algorithm and then follow up with

Sometimes technology enhances art. Sometimes it vandalizes it. Colorizing black and white films is an ancient idea dating back to 1902. For decades many movie creators opposed the idea of

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,

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