MMSegmentation
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Get Started

  • Prerequisites
  • Installation
  • Verification

Dataset Preparation

  • Prepare datasets

Model Zoo

  • Benchmark and Model Zoo
  • Model Zoo Statistics

Quick Run

  • Train a model
  • Inference with pretrained models

Tutorials

  • Tutorial 1: Learn about Configs
  • Tutorial 2: Customize Datasets
  • Tutorial 3: Customize Data Pipelines
  • Tutorial 4: Customize Models
  • Tutorial 5: Training Tricks
  • Tutorial 6: Customize Runtime Settings

Useful Tools and Scripts

  • Get the FLOPs and params (experimental)
  • Publish a model
  • Convert to ONNX (experimental)
  • Evaluate ONNX model
  • Convert to TorchScript (experimental)
  • Convert to TensorRT (experimental)
  • Miscellaneous

Notes

  • Changelog

Switch Language

  • English
  • 简体中文

API Reference

  • API Reference
MMSegmentation
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  • Tutorial 1: Learn about Configs
    • Config File Structure
    • Config Name Style
    • An Example of PSPNet
    • FAQ
  • Tutorial 2: Customize Datasets
    • Customize datasets by reorganizing data
    • Customize datasets by mixing dataset
  • Tutorial 3: Customize Data Pipelines
    • Design of Data pipelines
    • Extend and use custom pipelines
  • Tutorial 4: Customize Models
    • Customize optimizer
    • Customize optimizer constructor
    • Develop new components
  • Tutorial 5: Training Tricks
    • Different Learning Rate(LR) for Backbone and Heads
    • Online Hard Example Mining (OHEM)
    • Class Balanced Loss
  • Tutorial 6: Customize Runtime Settings
    • Customize optimization settings
    • Customize training schedules
    • Customize workflow
    • Customize hooks
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