Social LEAP Estimates Animal Poses (SLEAP)
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About
SLEAP (Social LEAP Estimates Animal Poses) is an open-source deep learning framework designed for accurately tracking multiple animals' poses. It features a user-friendly GUI for labeling datasets and supports various training strategies for pose estimation. The tool allows for fast installation and efficient workflows for both local and remote training and inference, making it versatile for researchers in animal behavior studies. With state-of-the-art neural network architectures, SLEAP excels in delivering precise predictions with minimal labeling efforts and can handle both single and multiple animal tracking tasks.
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Task
Features
• multi-animal pose tracking
• user-friendly gui for dataset labeling
• top-down and bottom-up training strategies
• fast training time: 15 to 60 mins on a gpu
• high inference speed: 600+ fps for batch
• support for remote training
• flexible developer api
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