Skip to content

qingma2016/DCTransformer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DCTransformer

This is the official code for the paper 'Reciprocal Transformer for Hyperspectral and Multispectral Image Fusion'.

Training

To train the model, run the following command.

CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.launch --nproc_per_node=2 main.py

Test

To experiment with saved model checkpoints, run the following command. Download the checkpoint from this link: Google Drive. Please place the trained model in the 'TrainedNet' folder.

CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.launch --nproc_per_node=2 main.py --mode 0 --nEpochs 200

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published