detectree2

Contents:

  • Installation
  • Tutorials
    • 1. Getting Started: Your First Prediction
    • 2. In-Depth Guide: Data Preparation
    • 3. In-Depth Guide: Model Training & Evaluation
    • 4. In-Depth Guide: Prediction
    • 5. Advanced Topics & “Pro Tips”
  • Running in Jupyter Notebook on a HPC platform
  • Usage
  • Contributing guide
  • Git/Github
  • API Reference
detectree2
  • Tutorials
  • View page source

Tutorials

This series of tutorials provides a comprehensive guide to using detectree2, from a basic end-to-end example to advanced techniques.

Tutorials:

  • 1. Getting Started: Your First Prediction
    • 1.1. Preparing Data
    • 1.2. Training a Model
    • 1.3. Making Landscape-Level Predictions
    • 1.4. Saving and Visualizing Your Crowns
  • 2. In-Depth Guide: Data Preparation
    • 2.1. Core Tiling Concepts (RGB & Multispectral)
    • 2.2. Advanced Tiling Options
    • 2.3. Practical Recipes for Tiling
    • 2.4. Handling Multi-Class Data
    • 2.5. Utilities for Tiled Data
    • 2.6. Visually Inspecting Your Tiles
  • 3. In-Depth Guide: Model Training & Evaluation
    • 3.1. The Training Workflow
    • 3.2. Data Augmentation
    • 3.3. Post-Training Analysis
    • 3.4. Evaluating Model Performance
  • 4. In-Depth Guide: Prediction
    • 4.1. Generating Landscape Predictions
    • 4.2. Landscape Predictions (Multi-Class)
  • 5. Advanced Topics & “Pro Tips”
    • 5.1. Advanced Multispectral Training
    • 5.2. Advanced Multi-Class Techniques
    • 5.3. Advanced Fine-Tuning
Previous Next

© Copyright 2023, James Ball.

Built with Sphinx using a theme provided by Read the Docs.