A new version of python package has been made available at [PyPi] (torch-template) and [GitHub]. Now you can install the repo by simply typing:
pip install torch-template
.
├── checkpoints
│ └── tag_1 # Saved checkpoints
├── logs
│ └── tag_1 # Log and tensorboard files
├── README.md
├── backbone
│ └── linknet.py
├── dataloader
│ ├── dual_residual_dataset.py
│ ├── image_folder.py # Folder image dataloader
│ ├── reside_dataset.py
│ └── transforms.py
├── eval.py
├── loss
│ └── content_loss.py
├── network
│ ├── DuRN_Pure_Conv.py
│ ├── Model.py
│ ├── Ms_Discriminator.py
│ ├── base_model.py
│ ├── metrics.py
│ └── norm.py
├── options
│ ├── __init__.py
│ └── options.py # Args
├── scripts
│ ├── test_scipt.py
│ └── train_script.py
├── test.py
├── train.py
└── utils
├── misc_utils.py
└── torch_utils.py
python3 train.py --tag tag_1 --batch_size 16 --epochs 100 [--load <pretrained models folder> --which-epoch 500] --gpu_ids 0
python3 test.py --dataset voc --load <pretrained models folder> --which-epoch 500
tensorboard --logdir logs/tag_1