Welcome to the world of computer vision! Today, we are diving into Mahotas, an impressive library packed with fast computer vision algorithms designed for Python. Whether you’re spotting features in images or segmenting a mosaic of colors, Mahotas is here to help. Why...
LightGlue: Local Feature Matching at Light Speed
Created by Philipp Lindenberger · Paul-Edouard Sarlina · Marc Pollefeys ICCV 2023 Paper • Colab • Poster • Train your own! What is LightGlue? LightGlue is a deep neural network designed for matching sparse local features across image pairs. With an...
How to Get Started with BPBReID: A Guide to Body Part-based (Occluded) Re-Identification
Welcome to the exciting world of Body Part-Based Re-Identification (BPBReID) where advancements in artificial intelligence meet practical applications in person identification! This guide will help you dive into the robust framework based on the technique introduced...
Essentials of Computer Vision: A Math-First Approach in Python
Embarking on the journey of computer vision can feel like navigating a complex maze. With our learning resources, including Python scripts, comprehensive study guides, and multimedia assets, this blog aims to simplify your understanding and empower you to harness the...
Creating a Face Recognition Attendance System: A Step-by-Step Guide
In today's tech-savvy world, attendance systems are evolving rapidly with the help of artificial intelligence. This guide will walk you through the process of setting up a Face Recognition Attendance System using a Siamese network architecture. By following these...
How to Master Feature Engineering and Feature Selection in Python
Feature Engineering and Feature Selection are vital components in any machine learning project, akin to choosing the right ingredients and cooking method for a sumptuous meal. While advanced algorithms, like deep learning, take center stage, the underlying features...
Transitioning from TorchSSL to USB: A Step-by-Step Guide
In the fast-evolving world of artificial intelligence, particularly in semi-supervised learning (SSL), keeping your tools up-to-date is paramount. If you're currently using TorchSSL, it's essential to know that it has been deprecated and is no longer maintained....
Understanding Optuna: A Hyperparameter Optimization Framework
Optuna is an automatic hyperparameter optimization software framework that simplifies the process of hyperparameter tuning for machine learning models. With its adaptive and flexible methods, Optuna stands out as a go-to solution for optimizing machine learning...
How to Leverage Detectron2 with PubLayNet for Document Layout Analysis
Detectron2, developed by Facebook AI Research, stands at the forefront of object detection frameworks. When combined with the expansive PubLayNet dataset, it becomes a powerful tool for document layout analysis, facilitating tasks like semantic segmentation and object...