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Documentation: https://mmsegmentation.readthedocs.io/en/latest/

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Introduction

MMSegmentation is an open source semantic segmentation toolbox based on PyTorch. It is a part of the OpenMMLab project.

The main branch works with PyTorch 1.6+.

🎉 Introducing MMSegmentation v1.0.0 🎉

We are thrilled to announce the official release of MMSegmentation's latest version! For this new release, the main branch serves as the primary branch, while the development branch is dev-1.x. The stable branch for the previous release remains as the 0.x branch. Please note that the master branch will only be maintained for a limited time before being removed. We encourage you to be mindful of branch selection and updates during use. Thank you for your unwavering support and enthusiasm, and let's work together to make MMSegmentation even more robust and powerful! 💪

MMSegmentation v1.x brings remarkable improvements over the 0.x release, offering a more flexible and feature-packed experience. To utilize the new features in v1.x, we kindly invite you to consult our detailed 📚 migration guide, which will help you seamlessly transition your projects. Your support is invaluable, and we eagerly await your feedback!

demo image

Major features

Unified Benchmark

We provide a unified benchmark toolbox for various semantic segmentation methods.
Modular Design

We decompose the semantic segmentation framework into different components and one can easily construct a customized semantic segmentation framework by combining different modules.
Support of multiple methods out of box

The toolbox directly supports popular and contemporary semantic segmentation frameworks, e.g. PSPNet, DeepLabV3, PSANet, DeepLabV3+, etc.
High efficiency

The training speed is faster than or comparable to other codebases.

What's New

v1.2.0 was released on 10/12/2023, from 1.1.0 to 1.2.0, we have added or updated the following features:

Highlights

Support for the open-vocabulary semantic segmentation algorithm SAN
Support monocular depth estimation task, please refer to VPD and Adabins for more details.
Add new projects: open-vocabulary semantic segmentation algorithm CAT-Seg, real-time semantic segmentation algofithm PP-MobileSeg

Installation

Please refer to get_started.md for installation and dataset_prepare.md for dataset preparation.

Get Started

Please see Overview for the general introduction of MMSegmentation.

Please see user guides for the basic usage of MMSegmentation. There are also advanced tutorials for in-depth understanding of mmseg design and implementation .

A Colab tutorial is also provided. You may preview the notebook here or directly run on Colab.

To migrate from MMSegmentation 0.x, please refer to migration.

Tutorial

<div align="center"> <b>MMSegmentation Tutorials</b> </div> <table align="center"> <tbody> <tr align="center" valign="center"> <td> <b>Get Started</b> </td> <td> <b>MMSeg Basic Tutorial</b> </td> <td> <b>MMSeg Detail Tutorial</b> </td> <td> <b>MMSeg Development Tutorial</b> </td> </tr> <tr valign="top"> <td> <ul> <li><a href="docs/en/overview.md">MMSeg overview</a></li> <li><a href="docs/en/get_started.md">MMSeg Installation</a></li> <li><a href="docs/en/notes/faq.md">FAQ</a></li> </ul> </td> <td> <ul> <li><a href="docs/en/user_guides/1_config.md">Tutorial 1: Learn about Configs</a></li> <li><a href="docs/en/user_guides/2_dataset_prepare.md">Tutorial 2: Prepare datasets</a></li> <li><a href="docs/en/user_guides/3_inference.md">Tutorial 3: Inference with existing models</a></li> <li><a href="docs/en/user_guides/4_train_test.md">Tutorial 4: Train and test with existing models</a></li> <li><a href="docs/en/user_guides/5_deployment.md">Tutorial 5: Model deployment</a></li> <li><a href="docs/zh_cn/user_guides/deploy_jetson.md">Deploy mmsegmentation on Jetson platform</a></li> <li><a href="docs/en/user_guides/useful_tools.md">Useful Tools</a></li> <li><a href="docs/en/user_guides/visualization_feature_map.md">Feature Map Visualization</a></li> <li><a href="docs/en/user_guides/visualization.md">Visualization</a></li> </ul> </td> <td> <ul> <li><a href="docs/en/advanced_guides/datasets.md">MMSeg Dataset</a></li> <li><a href="docs/en/advanced_guides/models.md">MMSeg Models</a></li> <li><a href="docs/en/advanced_guides/structures.md">MMSeg Dataset Structures</a></li> <li><a href="docs/en/advanced_guides/transforms.md">MMSeg Data Transforms</a></li> <li><a href="docs/en/advanced_guides/data_flow.md">MMSeg Dataflow</a></li> <li><a href="docs/en/advanced_guides/engine.md">MMSeg Training Engine</a></li> <li><a href="docs/en/advanced_guides/evaluation.md">MMSeg Evaluation</a></li> </ul> </td> <td> <ul>

Mmsegmentation

Install / Use

README