Social LEAP Estimates Animal Poses (SLEAP)
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About
SLEAP is an open-source deep-learning framework designed for multi-animal pose tracking. It supports tracking any number of animals and features an advanced GUI for labeling and training, optimizing the active learning process. SLEAP enables quick installation on all operating systems, offers efficient pose estimation strategies, and provides state-of-the-art pretrained neural networks. Its rapid training (15-60 mins on a single GPU) and inference speeds (600+ FPS, <10ms latency) allow for seamless integration and usage, even remotely without GPUs. The tool is suitable for researchers aiming to accurately analyze animal behavior through advanced computer vision techniques.
Platform
Task
Features
• open-source framework
• quick installation
• multi-animal pose tracking
• top-down and bottom-up training strategies
• flexible developer api
• remote training/inference support
• high inference speed (600+ fps, <10ms latency)
• fast training (15-60 mins on a single gpu)
• state-of-the-art neural network architectures
• single and multi-animal pose estimation
• advanced labeling and training gui
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