If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...
Abstract: The project aims to implement real-time object detection for edge applications such as surveillance, transportation, and industrial monitoring, where both high-speed processing and low power ...
🔥YOLOv5作为单阶段目标检测算法的代表，以其高效性和准确性受到广泛关注。原始YOLOv5模型采用Backbone-Neck-Head的经典架构 ...
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 ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results