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Prepare Sintel dataset

@inproceedings{Butler:ECCV:2012,
title = {A naturalistic open source movie for optical flow evaluation},
author = {Butler, D. J. and Wulff, J. and Stanley, G. B. and Black, M. J.},
booktitle = {European Conf. on Computer Vision (ECCV)},
editor = {{A. Fitzgibbon et al. (Eds.)}},
publisher = {Springer-Verlag},
series = {Part IV, LNCS 7577},
month = oct,
pages = {611--625},
year = {2012}
}

@inproceedings{Wulff:ECCVws:2012,
 title = {Lessons and insights from creating a synthetic optical flow benchmark},
 author = {Wulff, J. and Butler, D. J. and Stanley, G. B. and Black, M. J.},
 booktitle = {ECCV Workshop on Unsolved Problems in Optical Flow and Stereo Estimation},
 editor = {{A. Fusiello et al. (Eds.)}},
 publisher = {Springer-Verlag},
 series = {Part II, LNCS 7584},
 month = oct,
 pages = {168--177},
 year = {2012}
}
 Sintel
|   |   ├── training
|   |   |   ├── clean
|   |   |   |   ├── xxxx_x
|   |   |   |   |    ├── frame_xxxx.png
|   |   |   ├── final
|   |   |   |   ├── xxxx_x
|   |   |   |   |    ├── frame_xxxx.png
|   |   |   ├── flow
|   |   |   |   |    ├── frame_xxxx.flo
|   |   |   ├── invalid
|   |   |   |   ├── xxxx_x
|   |   |   |   |    ├── frame_xxxx.png

Here is the script to prepare Sintel dataset.

wget http://files.is.tue.mpg.de/sintel/MPI-Sintel-complete.zip
# or use US mirror wget http://sintel.cs.washington.edu/MPI-Sintel-complete.zip
unzip MPI-Sintel-complete.zip
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