yanwei-li / plusseg

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Introduction

The master branch works with PyTorch 1.1 or higher

plusseg is an open source image semantic segmentation toolbox based on PyTorch. It is a part of the plus project developed by ShanghaiTech PLUS Lab

Major Features

• Modular Design

• Multiple Frameworks

• High Efficiency

• State-of-the-art Performance

We have implemented several semantic segmentation algorithms in PyTorch with comparable performance Code will be updated in Oct.

License

This project is released under the MIT License

Updates

v0.1.0 (26/07/2019)

• Start the project

Benchmark and Model Zoo

Supported methods and backbones are shown in the below table Results and models are available in the Model Zoo

	ResNet	ResNeXt	DenseNet	HRNet
FCN	✓	✓	☐	✓
PSPNet	✓	✓	☐	✓
DeepLab-V1	✓	✓	☐	✓
DeepLab-V2	✓	✓	☐	✓
DeepLab-V3	✓	✓	☐	✓
DeepLab-V3++	✓	✓	☐	✓
PSANet	✗	✗	✗	✗
EncNet	✓	✓	☐	✓
DenseASPP	✓	✓	☐	✓
UNet	✓	✓	☐	✓
Dilation Net	✓	✓	☐	✓

Installation

Please refer to Install.md for installation and dataset preparation.

Get Started

Please see GETTING_STARTED.md for the basic usage of PLUSSeg.

Contributing

We appreciate all contributions to improve MMDetection. Please refer to CONTRIBUTING.md for the contributing guideline.

Acknowledgement

PLUSSeg is an open source project that is contributed by researchers and engineers from various colledges and companies. We appreciate all the contributors who implement their methods or add new features.

We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new segmentation methods.

Citation

Contact

Misc.