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dlc2action


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Author: A. Mathis Lab
Summary: DLC2Action is a deep learning based action segmentation toolbox. It is designed to work directly on top of markerless pose estimation softwares such as DeepLabCut. It allows to train and evaluate various state-of-the-art action segmentation models on your own data.
Latest version: 1.0
Required dependencies: click | editdistance | einops | ftfy | ipykernel | matplotlib | numpy | opencv-python | openpyxl | optuna | p_tqdm | pandas | pdfplumber | pillow | plotly | pyinquirer | pytest | regex | ruamel.yaml | scikit-learn | scipy | seaborn | tables | tika | torch | torchvision | tqdm

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