Set of tools for acquiring kinematics. Current version includes videoTools, which is code for preprocessing video and Jupyter notebooks for a workflow that uses DeepLabCut (DLC), which allows for automated tracking of the coordinates of landmarks.
Catalog of the videoTools functions.
Jupyter notebook that illustrates use of the videoTools functions for preprocessing video, including batch processing.
There are numerous ways of using DLC and other tools that we feature, but we're going to recommend a particular workflow with software selected for the task. At this stage, we are interested only in single-animal experiments, but intend to implement the ability to extract 3D coordinates from experiments using 2 or more cameras. DLC runs most effectively on a desktop computer with a high-powered NVIDIA GPU, but some components of our workflow can be managed on a laptop and the project can be transferred over to the desktop for the serious number crunching.
The following docs provide details for each aspect of the kineKit workflow for DeepLabCut: