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Video Stabilization using Deep Learning based Optical Flow is an open source video stabilization using deep learning, developed by POSTECH computer graphics laboratory

Requirement

Tensorflow 1.10

How to run

set the path of stabilized video and unstabilized video in config.py file and run main_flownetS_pyramid_noprevloss_dataloader.py For example, if you want to train, run

python3 main_flownetS_pyramid_noprevloss_dataloader.py --mode main_flownetS_pyramid_noprevloss_dataloader --is_train true --delete_log true

If you want to test, put a checkpoint file into fixed_ckpt folder and run

python3 main_flownetS_pyramid_noprevloss_dataloader.py --mode main_flownetS_pyramid_noprevloss_dataloader --is_train false --delete_log false

Result

Upper images: input, lower images: output. Example

Checkpoint

checkpoint link: link

License

This software is being made available under the terms in the LICENSE file.

Any exemptions to these terms requires a license from the Pohang University of Science and Technology.

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