We use Python 3.8, PyTorch 1.13.1 (CUDA 11.7 build). The codebase is built on Detectron. conda create -n wsco python=3.8 Conda activate wsco conda install pytorch==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 ...

Rental truck company Penske denied any awareness of the Department of Homeland Security's use of their vehicles for an immigration raid in Los Angeles after footage of Immigration and Customs ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...

First, we install three essential libraries: BeautifulSoup4 for parsing HTML content, ipywidgets for creating interactive elements, and pandas for data manipulation and analysis. Running it in your ...