This software is an open-source, user-friendly graphical interface for multi-animal pose tracking and behavioral analysis, using advanced deep learning models to automatically detect and track multiple animals in recorded videos with high precision and real-time performance. Its main features include powerful neural network architectures trained with minimal labels, customizable models, rapid installation via pip or uv, broad compatibility across operating systems and CUDA versions, and a modular design supporting single- and multi-animal tracking for diverse research applications in behavioral neuroscience and ethology. It addresses challenges related to precise, efficient, and scalable animal movement analysis by providing fast, accurate, and adaptable tools suitable for researchers, neuroscientists, ethologists, and behavioral scientists seeking automated, high-throughput tracking solutions.
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This platform processes and analyzes extensive motion capture and video data ...
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