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]
For quick hints about commands:
python main.py -h
Modify the condiguration in the settings.py
file
After customizing the settings.py
, use the following command to start training
python main.py --cuda train
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