Welcome to MMSegmenation’s documentation!

• Requirements
• Installation
• A from-scratch setup script
  • Linux
  • Windows(Experimental)
• Getting Started
  • Prepare datasets
  • Inference with pretrained models
  • Train a model
  • Useful tools
  • Tutorials
• Config System
  • Config File Structure
  • Config Name Style
  • An Example of PSPNet
  • FAQ
• Benchmark and Model Zoo
  • Common settings
  • Baselines
  • Speed benchmark

Tutorials

• 1. Adding New Dataset
  • Customize datasets by reorganizing data
  • Customize datasets by mixing dataset
• 2. Custom Data Pipelines
  • Design of Data pipelines
  • Extend and use custom pipelines
• 3. Adding New Modules
  • Customize optimizer
  • Customize optimizer constructor
  • Develop new components
• 4. Training Tricks
  • Different Learning Rate(LR) for Backbone and Heads
  • Online Hard Example Mining (OHEM)
  • Class Balanced Loss

API Reference

• API Reference
  • mmseg.apis
  • mmseg.core
    • seg
    • evaluation
    • utils
  • mmseg.datasets
    • datasets
    • pipelines
  • mmseg.models
    • segmentors
    • backbones
    • decode_heads
    • losses

Indices and tables

• Index
• Search Page