A deep learning framework for multi-animal pose tracking.
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Updated
Aug 17, 2024 - Python
A deep learning framework for multi-animal pose tracking.
An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
A Low-cost Open-source High-speed Multi-camera Motion Capture System.
CIAtah (pronounced cheetah): a software package for calcium imaging analysis of one- and two-photon imaging datasets. Documentation: https://git.io/ciatah_docs. Formerly known as calciumImagingAnalysis (ciapkg).
fit latent variable movement models to animal tracking data
trackR - A simple video tracking software for R
🛰🐦 Bird tracking - GPS tracking network for large birds
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
Hybrid behavioral tracking combining deep learning-based tracking and fiducial tags
R functions to dead-reckon reckon animal movement from raw motion sensor data
LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing
R package to access data from the European Tracking Network
Acoustic telemetry data 🔊🐟
R package for working with Wildlife Computers data formats. Maintained by Josh London (@jmlondon / josh.london@noaa.gov)
Tools for pre-processing high-throughput animal tracking data.
PoseModel: An Open-Source Toolkit for Accurate and Robust Automated Behavioral Latent Embedding
R package for basic data processing for spatial animal tracking data
API for the Mid-Atlantic Acoustic Telemetry Observing System
A package to understand OTN data
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