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Quickstart Guide

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

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Installation

Use our automated installation scripts: On macOS/Linux: 
chmod +x scripts/install.sh
./scripts/install.sh
On Windows: 
scripts\install.bat

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Manual Installation

  1. Clone the repository:
git clone https://github.com/Wearer-Lab/transfer-learning.git
cd transfer-learning
  1. Create a virtual environment and install dependencies using UV:
python -m venv .venv
source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
pip install uv
uv pip install -e .
  1. Set up your OpenAI API key:
echo "OPENAI_API_KEY=your-api-key-here" > .env

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Basic Usage

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Process a Local Video

Extract frames and analyze content from a local video file: 
transfer-learning process-video path/to/video.mp4

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Process a YouTube Video

Download and process a YouTube video: 
transfer-learning process-youtube "https://youtube.com/watch?v=VIDEO_ID"

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Generate a Guide

Generate a step-by-step guide from processed video content: 
transfer-learning generate-guide output/processed_data

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Complete YouTube Pipeline

Download a YouTube video and generate a guide in one command: 
transfer-learning youtube-guide "https://youtube.com/watch?v=VIDEO_ID"

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Real-time Monitoring

Monitor processing progress and system performance in real-time: 
# Monitor current processing
transfer-learning monitor

# Monitor specific video
transfer-learning monitor --video-id=your_video_id

# View historical metrics
transfer-learning monitor --video-id=your_video_id --show-history
The monitoring dashboard provides:
  • Processing progress and status
  • System resource usage (CPU, Memory, Disk, Network)
  • Performance metrics (latency, throughput)
  • API statistics
  • Custom metrics

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Configuration

Configure the pipeline using environment variables or the config command: 
# Show current configuration
transfer-learning config --show

# Reset configuration to defaults
transfer-learning config --reset

# Interactive configuration
transfer-learning config

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Next Steps

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Support

For help and support: