In part-1 of image processing using OpenCV, we learned basic terminology used in computer vision, read-write operations, histogram creation, and edge detection techniques. In part-2 of image pre-processing using OpenCV, we are going to learn a few advanced techniques of…
Image pre-processing is an integral part of computer vision for analyzing the image for almost every application. Usually, Image pre-processing steps are very specific to the use case or application type like objection detection, object segmentation, text extraction, facial recognition,…
Through this post, you will be able to understand all about google’s Inception network architecture, its different versions, how to use it for transfer learning, real-time implementation. Let’s start: Table of content: What is Inception network? Problems solved by Inception…
It seems a bit confusing when we need to decide which activation function will be the best for a particular neural network. Through this post, you will be able to understand all about activation functions as it’s meaning, different types…
In previous posts, we have discussed different image pre-processing techniques through different operations using OpenCV. This post includes the next step towards image processing i.e. feature detection algorithm and feature matching using SIFT (Scale-invariant feature transform) and SURF (Speeded-up Robust…
