Welcome to the exciting world of Siamese and triplet networks! These powerful neural architectures are designed for learning embeddings — a way of transforming images into a compact Euclidean space where distances reflect similarity. By the end of this guide, you’ll...
Data Science
How to Track Trains Using OnlyTrains
Welcome to the exciting world of train tracking! In this blog, we’ll explore how to deploy and utilize a project called OnlyTrains, which serves the purpose of watching a piece of train track, detecting passing trains, and stitching together images of them. With this...
Learning from Synthetic Data for Crowd Counting in the Wild: A Step-by-Step Guide
Welcome to our guide on implementing the SFCN+ model from the paper "Learning from Synthetic Data for Crowd Counting in the Wild." This article will walk you through the requirements, data preparation, model training, and testing procedures, all while keeping things...
How to Implement CPM: Color-Pattern Makeup Transfer
Welcome to the world of advanced makeup transfer using the Color-Pattern Makeup (CPM) framework! This blog post guides you through the steps needed to successfully set up and utilize CPM, which brilliantly transfers colors and patterns from one makeup style to...
How to Remove Watermarks from Images Using Machine Learning
Welcome to your guide on removing watermarks from images using an innovative machine learning-based approach! This blog will walk you through the process and provide you with troubleshooting tips along the way. What is Watermark Removal? Watermark removal is the...
Getting Started with DialoGLUE: Your Guide to Conversational AI Benchmarking
So, you’re diving into the fascinating world of conversational AI? With the rise of dialogue systems like virtual assistants and chatbots, benchmarking these systems is crucial. Enter DialoGLUE, a conversational AI benchmark designed to boost dialogue research through...
Getting Started with Ikomia: Simplifying Computer Vision Deployment
Welcome to the world of Ikomia, where we aim to transform intricate computer vision algorithms into simplified, deployable solutions for both enthusiasts and professionals alike! Why Choose Ikomia? Research Meets Reality: Ikomia bridges the gap between cutting-edge...
Understanding the FID Score for PyTorch: A Step-by-Step Guide
The Fréchet Inception Distance (FID) score is a powerful metric used to assess the quality of images generated by deep learning models, especially Generative Adversarial Networks (GANs). This blog post guides you through the process of installing and using the FID...
How to Install and Build Julia
Welcome to the fascinating world of Julia, a high-level, high-performance dynamic programming language particularly suited for technical computing. In this guide, we’ll explore how to install Julia, build it from source, troubleshoot common issues, and ensure you’re...
