https://github.com/bryanyzhu/deepof

TensorFlow implementation for "Guided Optical Flow Learning"
https://github.com/bryanyzhu/deepof

flownet flyingchairs kitti-dataset mpi-sintel optical-flow semi-supervised-learning tensorflow ucf101 unsupervised-learning unsupnet

Last synced: 2 months ago
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TensorFlow implementation for "Guided Optical Flow Learning"

• Host: GitHub
• URL: https://github.com/bryanyzhu/deepof
• Owner: bryanyzhu
• Created: 2016-08-24T08:10:07.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-09T16:38:05.000Z (over 7 years ago)
• Last Synced: 2023-10-20T18:34:30.213Z (about 1 year ago)
• Topics: flownet, flyingchairs, kitti-dataset, mpi-sintel, optical-flow, semi-supervised-learning, tensorflow, ucf101, unsupervised-learning, unsupnet
• Language: Python
• Homepage:
• Size: 154 KB
• Stars: 25
• Watchers: 8
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# deepOF

TensorFlow implementation for "Guided Optical Flow Learning". 

You can refer to paper for more details at [Openreview](https://openreview.net/forum?id=S1kggAGgb&noteId=S1kggAGgb) or [Arxiv](https://arxiv.org/abs/1702.02295).

The code is ready to run, but the accuracy is a little lower than both [Caffe](https://github.com/bryanyzhu/GuidedNet) and Pytorch implementation. 

Proceed if you really want to use TensorFlow.