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TSFuse: Triple-Stream Network for Infrared and Visible Image Fusion

Architecture

model

Testing

1. Pretrained models

Pretrained models are available in './TSFuse_final.model'

2. Test datasets

  • Run
python test_image.py
  • Eval
python evaluator.py

Training

1. Data Preparation

Download the MSRS dataset from this link

2. Pre-Processing

  • Modify the dataset path and run
python dataprocessing.py  

and the processed training dataset is named 'MSRS_train_imgsize_128_stride_200.h5'.

3. Training

  • Run
python train_h5py.py

and the trained model is available in './models/'.

or if you do not want to use h5py for training, you can run

python train.py  

Fusion Performance

visual

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