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# DeepGyro | ||
Gyroscope-Aided Motion Deblurring with Deep Networks | ||
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Keras implementation of the deblurring method presented in: | ||
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Gyroscope-Aided Motion Deblurring with Deep Networks [[arXiv](https://arxiv.org/abs/1810.00986)] | ||
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## Testing | ||
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Download weights for DeepGyro from [Dropbox](https://www.dropbox.com/s/lwbi8r9dsa77btw/DeepGyro.hdf5?dl=0) and put them to the `checkpoints` folder. The weights for DeepBlind are also provided [Dropbox](https://www.dropbox.com/s/xzowi9k6syg8b6i/DeepBlind.hdf5?dl=0). | ||
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Execute `test_deepgyro.py` or `test_deepblind.py` to deblur images. | ||
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## Citation | ||
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If you find our code helpful in your research or work, please cite our paper. | ||
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``` | ||
@InProceedings{Mustaniemi_2019_WACV, | ||
author = {Mustaniemi, Janne and Kannala, Juho and Särkkä, Simo and Matas, Jiri and Heikkilä, Janne}, | ||
title = {Gyroscope-Aided Motion Deblurring with Deep Networks}, | ||
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)}, | ||
month = {January}, | ||
year = {2019} | ||
} | ||
``` |