PlanNoa / video_super_resolution

Video Super Resolution with depth map and optical flow for unnatural object flow

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Video Super Resolution with depth map and optical flow for unnatural object flow

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Main Goal

  1. optical flow net Module
  2. video object segmentation net Module
  3. depth map net Module
  4. super resolution net
  5. loss function with etc utils
  6. training(ToDo)
  7. testing(ToDo)

TODO

  • define new way to calculate flow-loss
  • Inference function on main.py

Copyright

  • The code and development ideas for this project are belonging to PlanNoa and Yudonggeun.

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Video Super Resolution with depth map and optical flow for unnatural object flow

License:MIT License


Languages

Language:Python 75.9%Language:Cuda 20.0%Language:C++ 4.0%Language:Shell 0.2%