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| # Prepare SceneFlow dataset | |
| Scene Flow Datasets is available at the Scene Flow [official website](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html). | |
| Please download the following parts of FlyingThings3D, Driving, Monkaa and place it in the `datasets/sceneflow` directory. | |
| - RGB images (finalpass) | |
| - RGB images (cleanpass) | |
| - Disparity | |
| And for FlyingThings3D subset, you need to download the following parts: | |
| - RGB images (cleanpass) | |
| - Disparity | |
| - Disparity Occlusions | |
| The directory structure should be as follows: | |
| ```text | |
| data | |
| | SceneFlow | |
| | βββ Driving | |
| | | βββ frames_finalpass | |
| | | βββ frames_cleanpass | |
| | | βββ disparity | |
| ... | |
| | βββ Monkaa | |
| | | βββ frames_finalpass | |
| | | βββ frames_cleanpass | |
| | | βββ disparity | |
| ... | |
| | βββ FlyingThings3D | |
| | | βββ frames_finalpass | |
| | | βββ frames_cleanpass | |
| | | βββ disparity | |
| ... | |
| | βββ FlyingThings3D_subset | |
| | | βββ train | |
| | | | βββ frames_cleanpass | |
| | | | βββ disparity | |
| | | | βββ disparity_occlusions | |
| | | βββ test | |
| | | | βββ frames_cleanpass | |
| | | | βββ disparity | |
| | | | βββ disparity_occlusions | |
| ``` | |
| _Optionally you can write your own txt file and use all the parts of the dataset._ | |
| ### Reference | |
| ```bibtex | |
| @inproceedings{mayer2016large, | |
| title={A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation}, | |
| author={Mayer, Nikolaus and Ilg, Eddy and Hausser, Philip and Fischer, Philipp and Cremers, Daniel and Dosovitskiy, Alexey and Brox, Thomas}, | |
| booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition}, | |
| pages={4040--4048}, | |
| year={2016} | |
| } | |
| ``` |