Feature matching using deep learning is a game-changer for computer vision tasks like panorama stitching, video stabilization, and face recognition, providing greater accuracy and reliability. Dive into how this technology works and its amazing applications! #AI #ComputerVision The post Introduction to Feature Matching Using Neural Networks first appeared on LearnOpenCV ..read more

ROS (Robot Operating System) is  more than a decade old open-source robotics middleware software, initially developed by two PhD students from  Stanford University. Fast-forward to 2024, ROS has evolved into a rich ecosystem of utilities, algorithms, and sample applications, transcending its origins as middleware software, and is now used by millions of people and thousands […] The post Introduction to ROS2 (Robot Operating System 2): Tutorial on ROS2 Working, DDS, ROS1 RMW, Topics, Nodes, Publisher, Subscriber in Python first appeared on LearnOpenCV ..read more

This article gives an overview about the key research papers and dataset from CVPR 2024 along with repository links. The post CVPR 2024 Key Research & Dataset Papers – Part 2 first appeared on LearnOpenCV ..read more

CVPR 2024 showcased groundbreaking AI and computer vision research, highlighting generative image dynamics, advanced 3D modeling, and innovative video editing techniques. OpenCV featured prominently, presenting OpenCV5 and collaborating with leading tech companies. Key papers and projects from the conference offer exciting advancements in the field. The post CVPR 2024: An Overview first appeared on LearnOpenCV ..read more

This article discusses how to use any finetuned yolov8 pytorch model on oak-d-lite device with OpenVINO IR Format. The post Object Detection on Edge Device – Deploying YOLOv8 on OAK-D first appeared on LearnOpenCV ..read more

This research article explains a data-centric fine-tuning approach using YOLOv10 models for kidney stone detection. The post Fine-Tuning YOLOv10 Models on Custom Dataset for Kidney Stone Detection first appeared on LearnOpenCV ..read more

This is the third part of the Robotics Blog Series, focusing on a comprehensive ROS2 and Carla setup guide for Ubuntu 22.04. We’ll begin by installing the Terminator terminal, followed by the installation of ROS2 dependencies, and then proceed with installing ROS2 Humble. Next, we’ll cover how to install Carla on Ubuntu 22.04 and finally […] The post ROS2 and Carla Setup Guide for Ubuntu 22.04 first appeared on LearnOpenCV ..read more

U2-Net (popularly known as U2-Net) is a simple yet powerful deep-learning-based semantic segmentation model that revolutionizes background removal in image segmentation. Its effective and straightforward approach is crucial for applications where isolating foregrounds from backgrounds is beneficial and essential. This capability has significant implications for fields such as advertising, filmmaking, and medical imaging. This article […] The post Enhancing Image Segmentation using U2-Net: An Approach to Efficient Background Removal first appeared on LearnOpenCV ..read more

YOLOv10 introduces a dual-head architecture for NMS-free training and efficiency-accuracy driven model design. It combines one-to-one and one-to-many label assignments to improve performance without extra computation. YOLOv10 uses lightweight classification heads, spatial-channel decoupled downsampling, and rank-guided blocks. This results in faster, more accurate object detection, making it ideal for real-time applications. The post YOLOv10: The Dual-Head OG of YOLO Series first appeared on LearnOpenCV ..read more

This research article discusses about how data preparation matters for Fine-tuning Faster R-CNN on aerial small object detection. The post Fine-tuning Faster R-CNN on Sea Rescue Dataset first appeared on LearnOpenCV ..read more