This study aimed to examine whether high-level basketball players exhibit superior multi-object tracking abilities compared to low-level basketball players using the three-dimensional multi-object ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

Abstract: Raspberry Pi has established itself in the world of computer technology enthusiasts due to its low cost, high processing power in a compact board, the availability of several interfaces, ...

Computer vision competitions are currently an important event for teams working in this area. They provide an opportunity to try new solutions, practice, and simply enjoy solving interesting problems.

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

Astronomers are monitoring an object headed our way that may have wandered over from another star system.Scientists have discovered what might be only the third known interstellar object to pass ...

Abstract: Object tracking has been widely used in the field of computer vision. The OpenCV Library offers a wide range of Target Tracing Algorithms, which have been shown to be robust and effective.

A web-based application for real-time object tracking using YOLOv8 and FastAPI. This project provides a user-friendly interface for uploading and processing videos with state-of-the-art object ...

People Detector is a Python script that processes videos as input and performs individual people detection, tracking, and counting, using YOLOv5 and motpy. It then displays bounding boxes around each ...