How to Analyze a Folder of Videos from AWS S3

James Gallagher's guide explores how to leverage the Roboflow Video Inference API to analyze videos stored on AWS S3, using machine learning models for various tasks such as detecting objects, running OCR, or applying moderation labels. The guide specifically demonstrates using a football player detection model from Roboflow Universe, a platform hosting over 50,000 vision models, to identify players, balls, and referees in video footage. It provides a step-by-step process for selecting a model, retrieving videos using AWS CLI and boto3, and running inference with the Roboflow API. The guide also explains how to use the supervision library to plot predictions on videos, offering functionalities like filtering detections and counting occurrences in specific zones. Additionally, the document underlines the importance of authentication and security, as well as the cost implications of processing videos with varying inference frame rates.