Category: Machine Learning

Docker for ML on Mac

This is written because I had a struggle installing ML libraries on Apple M1 chip but it can be used for any other CPU and OS. Here you will learn the following: Basic Dokerfile helps you setup your development environment for Machine Learning projects very fast Setup VSCode development environment to run codes on a

Local Feature and Harris Corner Detection

In the last three posts, we have learned some important basics in computer vision and in this post, I want to talk about the concept “Feature” which plays an important role in different levels of image processing. Feature (local Feature) In image processing, feature (local feature) is basically a piece of image (patch) which can

Edge Detections

So far we have discussed some basics and we know how convolution in image processing works. It is time to talk more about applications of convolution (kernel convolution). So in this post, we will go through Edge Detection algorithms and after reading this post you should be able to understand edge detection concept and its

Convolution, Cross-Correlation and Gaussian

In this post, we will continue to learn more about low-level computer vision which we’ve started in last post. After reading this post you will learn Convolution as well as literally most of the computer vision because it appears somehow in all functions that we will use in the CV. Let’s get started. Convolution and

Computer Vision Basics

As you may know, demand on Computer Vision Applications is increasing and so I decided to make post series about that and dive into my favorite topic “Computer Vision” and share my knowledge with you to help you to get deep understanding of different topics in this field. These series divided into three parts each