- PyTorch >= 0.4.1
- Check the requirements.txt
pip install -r requirements.txt
--content
: FOLDER-PATH-TO-CONTENT-IMAGES--style
: FOLDER-PATH-TO-STYLE-IMAGES--output
: FOLDER-PATH-TO-OUTPUT-IMAGES--image_size
: output image size-a
: all transfer-d
: decoder transfer-e
: encoder transfer-s
: skip transfer
- Pretrained models can be found in the
./model_checkpoints
- Content and style images can be found in the
./examples
./transfer.py
is the transfer code
- Test the model:
CUDA_VISIBLE_DEVICES=5 python transfer.py --content ./examples/content --style ./examples/style --output ./outputs/ --verbose --image_size 512 -d
The test results will be saved to ./outputs
by default.
Please cite:
Liu, Zhendong, et al. "Remove appearance shift for ultrasound image segmentation via fast and universal style transfer." 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, 2020.