Possible improvement on the DLC GUI
Workflow combining ImageJ and DeepLabCut
Nath, T., Mathis, A., Chen, A. C., Patel, A., Bethge, M., & Mathis, M. W. (2019). Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nature Protocols, 14(7), 2152–2176. https://doi.org/10.1038/s41596-019-0176-0
Provides a detailed description of the workflow we will be following. See p. 3 of the article for a flowchart. This is the paper referenced in the instructions on DLC's GitHub. https://github.com/DeepLabCut/DeepLabCut
Mathis, A., Mamidanna, P., Cury, K. M., Abe, T., Murthy, V. N., Mathis, M. W., & Bethge, M. (2018). DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience, 21(9), 1281–1289. https://doi.org/10.1038/s41593-018-0209-y
This is a technical report on DLC. See particularly p. 7 (1287) figure 7 for markerless tracking of digit, relevant to our tracking of infants' hands.