Getting Started

Welcome to Hyperseed! This section will help you get up and running with hyperspectral seed analysis.

Overview

Hyperseed provides a complete pipeline for analyzing hyperspectral imagery of plant seeds:

1. Install the package via pip or from source
2. Prepare your ENVI format hyperspectral data
3. Configure analysis parameters (or use defaults)
4. Analyze single datasets or batch process multiple datasets
5. Visualize results with auto-generated plots

What You'll Learn

• Installation

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  Install Hyperseed using pip, from GitHub, or from source

• Quick Start

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  Run your first analysis in 5 minutes

• Configuration

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  Customize the analysis pipeline for your needs

Prerequisites

Before you begin, ensure you have:

• Python 3.10+ installed on your system
• 8GB+ RAM available (recommended)
• Hyperspectral data in ENVI format with white/dark references

Typical Workflow

graph LR
    A[Install Hyperseed] --> B[Prepare Data]
    B --> C[Run Analysis]
    C --> D[Review Results]
    D --> E{Satisfied?}
    E -->|No| F[Adjust Config]
    F --> C
    E -->|Yes| G[Export & Publish]

Need Help?

• Issues: Report bugs on GitHub Issues
• Questions: Check the Troubleshooting Guide
• Examples: See User Guide for detailed examples

Ready to begin? Start with Installation →