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Quickstart Guide

This guide will help you get started with the Transfer Learning Video Processing Pipeline.

Installation

Use our automated installation scripts: On macOS/Linux:
On Windows:

Manual Installation

  1. Clone the repository:
  1. Create a virtual environment and install dependencies using UV:
  1. Set up your OpenAI API key:

Basic Usage

Process a Local Video

Extract frames and analyze content from a local video file:

Process a YouTube Video

Download and process a YouTube video:

Generate a Guide

Generate a step-by-step guide from processed video content:

Complete YouTube Pipeline

Download a YouTube video and generate a guide in one command:

Real-time Monitoring

Monitor processing progress and system performance in real-time:
The monitoring dashboard provides:
  • Processing progress and status
  • System resource usage (CPU, Memory, Disk, Network)
  • Performance metrics (latency, throughput)
  • API statistics
  • Custom metrics

Configuration

Configure the pipeline using environment variables or the config command:

Next Steps

Support

For help and support: