How to Analyze a Folder of Videos from Google Cloud Platform

James Gallagher's guide explains how to use the Roboflow Video Inference API to analyze videos stored on Google Cloud Platform with computer vision models. The process involves selecting a suitable computer vision model from various options hosted on Roboflow Universe, such as public pre-trained models, privately trained models, or foundation models like CLIP. Users can authenticate with Google Cloud, retrieve videos from storage, and submit them for analysis using the API. The guide provides a step-by-step walkthrough of setting up the environment, writing a script to process videos, and visualizing results, specifically using a football player detection model to demonstrate object detection capabilities. By utilizing tools like the supervision library, users can enhance their video analysis with features such as bounding box annotations and label annotations, ultimately producing a new video file with plotted predictions.