Mr. AI Engineer

Hi Guys Welcome to the new blog Image Transformation Techniques in OpenCV for Image Processing and Computer Vision. In this blog, we will explore the  most essential image transformation techniques in OpenCV , explaining their functionality, real-world applications, and practical implementation with Python code examples. Whether you're a  beginner in image processing or an AI developer looking to refine your skills , this guide will help you understand how to apply transformations effectively to achieve better results in computer vision projects.

Hi Guys! In this blog, we will explore the fundamentals of  D rawing functions in OpenCV , including how to create  lines, rectangles, circles, polygons, and text  on images. With step-by-step explanations and practical examples, you'll learn how to  customize colors, thickness, and positioning  to create visually appealing graphics.

Hi Guys welcome to our new blog  RMBG-2.0 for Background Removal App – The Ultimate AI-Powered Solution . In digital content creation,  background removal  has become an essential task for designers, photographers, and developers. Whether you're working on  e-commerce product images, social media content, or graphic design , having a  fast, efficient, and high-quality  background removal tool is a game-changer. This is where  RMBG-2.0  comes into play.

Hi Guys! welcome to new blog, and In this blog we will talk about  Color Spaces  in image processing and computer vision, a  color space  is a specific way of representing colors using numerical values. Different color spaces are used for different purposes, such as  displaying images, processing colors, and detecting objects .

Hi Guys! Welcome to the PART-2 of Getting Started with OpenCV -  Working with Grayscale Images using OpenCV and Python3 . In this step by step tutorial we are going to learn about What are grayscale images ? How to convert image from RGB to Grayscale ? How to do the depth analysis of an image ? What are Grayscale Images in Image Processing ? A Grayscale Image is a 1D image whose every pixel represents a single color plane, which is know as gray. Gray color plane is a single intensity value plane. It is very different from RGB color plane which has 3 color planes Red(R - 0 -> 255) , Green(G - 0 -> 255) and Blue(B - 0 -> 255) but in Grayscale images has only one color plane which is gray and intensity values goes from 0(Black) to 255(White) and the values lies in between has different shades of gray. 1. How Grayscale Images Work Each pixel in a grayscale image holds a  single value  that defines the brightness. The range of values depends on the bit-depth: 8-bit ...

Hi Guys, Welcome! to step by step tutorial of  Getting Started with OpenCV - Image Loading, Displaying, Saving and Dimensions . OpenCV is the most popular and open source python library in the field of image processing and Computer Vision. From a very long time I was thinking about to start a blog series about OpenCV, Image processing and Computer Vision and finally I am starting this series of OpenCV blogs with this first blog  Getting Started with OpenCV . So, In this very first tutorial we will start with OpenCV and image processing basics. We are going to learn:

Hi Guys! Welcome to the new blog. While working with OpenCV and Jupyter Notebook, have you came across with this thought that what if you will able to display your live webcam feed in a Jupyter notebook. Usually what happens is whenever you tries to run any computer vision program which requires live webcam feed. It opens in the separate window and I don't like this separate webcam window. So, I decided to write a simple python program which will help to display your live webcam feed in a Jupyter notebook using OpenCV and Python3.

Ultralytics, the computer vision company which the responsible for the develoment of Yolo object detection models, hs recently lanched the Yolov12 series of object detection models and we are going to try these model. So, In this step by step tutorial we are going to to develop a  Web App for the Object Detection using Yolov12, OpenCV and Gradio Framework  and check the performace of Yolov12.