Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

This implementation is designed as a demo to test COCO trained YOLOv11 detection models. This project implements YOLOv11 object detection in C++ using OpenCV with CUDA backend. It supports real time ...

A clean, modular, real-time object detection pipeline built on YOLOv5 + PyTorch + OpenCV. It shows FPS, counts detected objects per frame, renders boxes, and (optionally) saves the video. torch==2.7.1 ...

The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

A warfighter’s ability to persevere and complete the mission despite operating in a complex threat environment is crucial to preserving the joint force’s lethality. To that end, the Joint Program ...

Abstract: This proposed framework presents a real-time object detection and monitoring system using YOLO (You Only Look Once) models and OpenCV for video processing and analysis. Combining ...

Abstract: Human eye is the most significant character to detect the objects. Detecting the object includes the detection of position, size, distance etc. For individuals who have lost their vision and ...