SLEAP

Computer Vision-platforme

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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.

SLEAP kan findes i Computer Vision Platforms kategorier.

De produkter, der ligner SLEAP mest, er:

VideoGen Forfremmet → Reboot Motion → Camelot →

Skærmbilleder

Detaljer

SLEAP Hovedfunktioner

• Fast Performance
  Train models in 15-60 minutes and get results very quickly, suitable for real-time apps.
• Easy Installation
  Set up SLEAP quickly using uv or pip on any operating system with support for CUDA.
• User-Friendly GUI
  Use an easy interface with special tools to quickly create datasets with human help.
• Modular Experience
  Enjoy powerful features in one system that work well for many research needs.
• Standalone Packages
  Use separate tools like sleap-io for data files and sleap-nn for training and inference.
• High Accuracy Models
  Use customizable neural networks that give precise results with few labels.
• Multi-Animal Tracking
  Track one or many animals at the same time, using different training methods from above and below.
• Real-Time Tracking Speed
  Track animals at over 800 frames per second with very low delay in each frame.
• Deep Learning Animal Tracking
  Train and use AI models to track animals automatically from videos for better behavior analysis.
• Multiple Pose Estimation Models
  Use different types of models to estimate animals’ poses for different situations.
• Installation Improvements in Version 1.5+
  Faster setup using uv, switch to PyTorch for better speed, and new libraries for data handling and neural network workflows.

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SLEAP Alternativer

VideoGen Forfremmet

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Reboot Motion

This platform processes and analyzes extensive motion capture and video data ...

Camelot

This open-source software streamlines the organization, classification, and a...

Anvendte teknologier

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