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Gait Analysis with DeepLabCut CSV

This is a Python-based tool for detailed analysis of animal behavior in videos, focusing on tests like open-field. It leverages modern pose-estimation data from DeepLabCut models to generate a data summaries and video dashboard that visualizes key metrics including posture dynamics, spatial exploration, and stride/gait analysis. Originally inspired by stride-level analysis methods (Keith Sheppard, et al. 2022; doi: 10.1016/j.celrep.2021.110231), this toolkit is a flexible and powerful solution for researchers using custom DeepLabCut models, or SuperAnimal pose models, providing quantitative insights into stride details. Gait Analysis Repo: https://github.com/farhanaugustine/Ga... Other sources and reading materials: 1. Keith Sheppard et al., 2022. (https://doi.org/10.1016/j.celrep.2021...) 2. Milton Hildebrand, 1977. (https://originalwisdom.com/wp-content...) 3. DeepLabCut Model Zoo for SuperAnimal Models: https://deeplabcut.github.io/DeepLabC...