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Sample data for the movement Python package. https://movement.neuroinformatics.dev/

Дрво: 9f88431e03
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movement-sam...
sfmig 9f88431e03 Fix spurious indentation пре 1 година
bboxes 7a5fdba094 Add MOCA dataset interpolated пре 1 година
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videos_hashes.txt 7a5fdba094 Add MOCA dataset interpolated пре 1 година

README.md

movement-test-data

Sampe data for testing the movement Python package

Licensing information

The single-crab_MOCA-crab-1_video.mp4 video and corresponding annotations are part of the Moving Camouflaged Animals Dataset (MoCA) dataset. The MoCA dataset is available to download for commercial/research purposes under a Creative Commons Attribution 4.0 International License. The copyright remains with the original owners of the video. A complete version of the license for the MoCA dataset can be found here.

The VIA_single-crab_MOCA-crab-1_linear-interp.csv file is linearly interpolated from the original data in the MoCA dataset and was contributed by GitHub contributor Mahima Sahu (@Mahi7828).

The original annotation data for the selected clip (crab_1) was modified to follow the format of a VIA tracks file. The associated video clip was generated from the frames provided in the MoCA dataset.

The anipose_mouse-paw_anipose-paper.triangulation.csv file was taken from anipose source data available here, released under a Creative Commons Zero v1.0 Universal License. The data excerpt was renamed from mouse-anipose/mouse-testing/020820_preDTreaches_day1/020820_JiDT12/pose-3d/preDT1_JiDT12_reach1_hit.csv.

References

Lamdouar, H., Yang, C., Xie, W., & Zisserman, A. (2020). "Betrayed by motion: Camouflaged object discovery via motion segmentation". In Proceedings of the Asian Conference on Computer Vision. doi: 10.48550/arXiv.2011.11630