In this tutorial, we work through an end-to-end workflow for Qualcomm AI Hub Models. We start by setting up the required package, discovering the available model collection, and loading MobileNet-V2 ...

Object detection: YOLOv11 notebooks for finding objects in images. Object tracking: OpenCV scripts for following a selected object frame by frame. It is useful as a learning and showcase repo because ...

Master the art of channel catfish fishing with this comprehensive tutorial focused on techniques for detecting bites and setting hooks in heavy currents. In this instructional video, we break down the ...

Abstract: The rapid growth of computer vision and deep learning has revolutionized the field of image analysis, enabling machines to understand, interpret, and generate visual data with remarkable ...

Ollama has become the standard for running Large Language Models (LLMs) locally. In this tutorial, I want to show you the most important things you should know about Ollama. Ollama is an open-source ...

Abstract: Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD ...

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 ...

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...

Learning Python often begins with a simple yet powerful exercise: printing “Hello, World!” to the screen. This one-liner doesn’t just display text—it’s your first step toward mastering Python ...