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SAMT-MEF

Official Code for: Qianjun Huang, Guanyao Wu, Zhiying Jiang, Wei Fan*, Bin Xu and Jinyuan Liu, “Leveraging a Self-adaptive Mean Teacher Model for Semi-supervised Multi-Exposure Image Fusion”.

Set Up on Your Own Machine

Virtual Environment

We strongly recommend that you use Conda as a package manager.

# create virtual environment
conda create -n SAMT-MEF python=3.8
conda activate SAMT-MEF
# select and install pytorch version yourself (Necessary & Important)
# install requirements package
pip install -r requirements.txt

Train

# Initializes the self-adaptive set
python create_candidate.py

# Train: 
python train.py

Test

# Test: 
python test.py

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