This post "Torchvision Semantic Segmentation," is part of the series in which we will cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis ...
Transfer Learning For Pytorch Image Classification
Transfer Learning has revolutionized the way we approach image classification in PyTorch. Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, ...
Invisibility Cloak using simple CV techniques in OpenCV
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, we all know that an invisibility cloak ...
Deep Learning Based Text Detection Using OpenCV (C++/Python)
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 earlier post about Text Recognition, we discussed ...
Using OpenVINO with OpenCV
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 and other ...
Duplicate Search on Quora Dataset
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 will use the ...