Sehara_et_al_2021_RealtimeDLC_DataRepository/README.md

Data for Sehara et al., the real-time DeepLabCut project

The data repository for Sehara et al., the real-time DeepLabCut (Pose-Trigger) project.

(The image is licensed under CC-BY 4.0, 2020 Keisuke Sehara)

The head-fixed mouse was allowed to whisk freely under infrared illumination. The behavior of the mouse was captured from the above, using the ImagingSource DMK37BUX287 camera.

The Pose-Trigger program was used to capture images and to generate output triggers.

Datasets

• Raw videos: the raw videos acquired using Pose-Trigger. The files are converted to HDF5 files (instead of the original NumPy files).
• Spike2 recordings: recordings of the frame and trigger signals during Pose-Trigger acquisition, using Spike2. The files are converted to HDF5 files (instead of the original .smrx files).
• DeepLabCut projects: the DeepLabCut (v2.1) projects used in the study.
• Post hoc pose estimation: the post-hoc pose-estimation data to be compared with the real-time data. The files are in the HDF5 format (in the structure different from the "original" PyTables format that DeepLabCut generates).
• Performance profiling: the data and analytical procedures (and some figures) used to profile the speed and accuracy of Pose-Trigger.

License

Copyright (c) 2020 Keisuke Sehara, Paul Zimmer-Harwood, Matthew E. Larkum, and Robert N.S. Sachdev, Creative Commons Attribution 4.0 International (CC BY 4.0).