Here is the revised description with all links and additional text removed: --- #OctopusEffects, #blender In this video, I will show you how to have a 3d object interact with the context of a 2d photo ...

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 ...

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 ...

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 ...

Note: This repo is forked from e-candeloro/Driver-State-Detection and has been heavily modified to run a custom resnet50 model from debuggercafe.com tutorial. The ...

Abstract: This study introduces a deep learning method for automatically detecting bone fractures with the YOLOv8 object detection model, developed to aid radiologists in accurately and efficiently ...

Pattern recognition is a cornerstone of Artificial Intelligence (AI), shaping critical applications such as image analysis, speech processing, and automated decision-making. This study examines the ...

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 ...