Welcome to the Wildfire Detection Pipeline Docs!

This is the full documentation of our AutoML CI/CD/CT pipeline for wildfire detection.

Contents

• Introduction
  • Motivation
  • Key Features
• Setup Guide
  • 1. Clone the Repository
  • 2. Run the Pipeline with Docker
  • 3. Run Tests (Optional)
  • 4. Generate Bounding Box Visualizations (Optional)
  • 5. Configuration Files
  • 6. Add Your Own Dataset
  • 7. Workspace Directory Structure
• Pipeline Overview
• YOLO Prelabeling
  • Overview
  • Functions
  • Example Usage
• Grounding DINO Prelabeling
  • Overview
  • Constants
  • Functions
  • Configuration Parameters (from pipeline_config.json)
  • Example Usage
• Matching Logic
  • Overview
  • Functions
  • Configuration Parameters (from pipeline_config.json)
  • Example Usage
• Human-in-the-Loop
  • Key Capabilities
  • Setup Instructions
  • Workflow
  • Example Usage
  • Input and Output
• Augmentation
  • Key Features
  • Core Components
  • Configuration Parameters (for Augmentation from pipeline_config.json)
  • Example Call
  • Output Structure
• Training
  • Steps
  • Model Registry Structure
  • Training Configuration
• Distillation
  • Overview
  • Distillation Method and Hyperparameter Justification
  • Distillation Configuration
  • Distillation Deep Dive
  • Model Architecture Considerations
  • Training Stability Features
  • Final Remarks
  • Further readings
• Quantization
  • IMX Quantization Issues
  • Key Functions
  • Supported Methods
  • Configuration
  • Example Usage
  • Notes
  • Errors to Watch For
• File Cleaning and Archiving
  • Function: clean_pipeline_workspace
  • Folder Structure After Cleaning
  • Archive Output Example
  • Notes
• Unit Tests
  • Directory Setup
  • Data Fetching
  • YOLO Prelabeling
  • Grounding DINO Prelabeling
  • Matching Logic
  • Human-in-the-Loop
  • Augmentation
  • Training
  • Distillation
  • Quantization
  • File Cleaning and Archiving
  • Utility Functions
• Database Schema Overview
  • images Table
  • models Table
  • experiments Table
  • .env Configuration
• Code Reference
  • Prelabeling Modules
  • Human-in-the-Loop Module
  • Augmentation
  • Training
  • Distillation
  • Quantization
  • File Cleaning & Archiving
  • Utility Scripts