Overview
This tutorial demonstrates how to implement FasterViT, a fast Vision Transformer model, for custom image classification using a Star Wars character dataset in Python. Learn the complete workflow from loading the model, modifying it for your specific dataset, preprocessing images with Torchvision transforms, training the model, and visualizing predictions with OpenCV. The 29-minute guide covers essential steps including installation, model building, training, and testing, with practical code examples available for download. Perfect for computer vision enthusiasts looking to implement advanced transformer-based image classification on custom datasets with efficient performance.
Syllabus
00:00 Introduction and Demo
03:01 Installation
11:00 Build the model + Train
19:36 Test the model
Taught by
Eran Feit