Practical Guide

Leveraging the Power of Docker for YOLOv8 with MMYOLO: A Step-by-Step Guide

Abstract: Object detection is a crucial task in computer vision, allowing for the identification and localization of objects within images and videos. The YOLO (You Only Look Once) series has become a benchmark for combining speed and accuracy in this domain. YOLOv8, a cutting-edge object detection model, advances these capabilities further, making it highly suitable […]

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Object Detection with Deep Neural Networks

Abstract: Object detection, a vital task in computer vision, identifies and locates multiple objects within an image. This tutorial explores object detection with deep neural networks (DNNs), focusing on Convolutional Neural Networks (CNNs) and two main approaches: two-stage and single-stage detectors. It also covers major deep learning frameworks like TensorFlow, PyTorch, and MMDetection, enabling practitioners

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Image Classification with Deep Neural Networks

Abstract: This tutorial introduces MMPreTrain for multi-class image classification tasks. From environment setup to model configuration and optimization, it guides users through the process with practical examples. By following this tutorial, users can efficiently classify images using MMPreTrain. Keywords: MMPreTrain, image classification, multi-class classification, deep learning, tutorial, model configuration, optimization Introduction In a world inundated

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Data Scientist’s Dev Environment: pyenv & poetry on Ubuntu

Abstract: As a data scientist, your development environment plays a crucial role in your productivity. In this tutorial, we’ll guide you through setting up a powerful and efficient Python development environment using pyenv and poetry. Additionally, we’ll provide a comparison with the widely used conda environment manager to help you make an informed choice. Keywords:

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