This repository implements general network for semantic segmentation.
You can run various networks like UNet, PSPNet, ASPP, etc., just by writing the config file.
python train.py ../config/test.yaml
.
├── README.md
├── config
├── data
│ ├── cityscapes
│ │ ├── gtFine
│ │ └── leftImg8bit
│ └── pascal_voc_2012
│ └── VOCdevkit
│ └── VOC2012
│ ├── JPEGImages
│ ├── SegmentationClass
│ └── SegmentationClassAug
├── logs
├── model
└── src
├── dataset
├── logger
├── losses
│ ├── binary
│ └── multi
├── models
│ ├── inplace_abn
├── start_train.sh
├── stop_train.sh
├── train.py
└── utils
- encoder type
- resnet18
- resnet34
- resnet50
- resnet101
- resnet152
- resnext101_32x4d
- resnext101_64x4d
- se_resnet50
- se_resnet101
- se_resnet152
- se_resnext50_32x4d
- se_resnext101_32x4d
- senet154
- decoder type
- unet_scse
- unet_seibn
- unet_oc
- encoder type
- resnet18
- resnet34
- resnet50
- resnet101
- resnet152
- senet154
- decoder type
- psp
- encoder type
- resnet18
- resnet34
- resnet50
- resnet101
- resnet152
- senet154
- decoder type
- aspp
- encoder type
- resnet18
- resnet34
- resnet50
- resnet101
- resnet152
- senet154
- decoder type
- oc_base
- oc_aspp
- Cityspaces
- Pascal Voc