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Implementation of several state of the art segmentation method for binary tasks in PyTorch

Here are the implemented models:

  • [FCN8]
  • [FCN16]
  • [FCN32]
  • [SegNet]
  • [PSPNet]
  • [UNet]
  • [Residual UNet]
  • [DUC]
  • [duchdc]
  • [LinkNet]
  • [FusionNet]
  • [GCN]

Usage

For quick hints about commands:

python main.py -h

Modify the condiguration in the settings.py file

Training

After customizing the settings.py, use the following command to start training

python main.py --cuda train

Evaluation

For evaluation, put all your test images in a folder and set path in the settings.py. Then run the following command:

python main.py --cuda eval

The results will be place in the results directory

This doc will be improved