DeepSqueak

Version 3.0.1 (138 MB) von Kevin R Coffey
DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research
5.0
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1,1K Downloads
Aktualisiert 19 Okt 2023
Lizenz auf GitHub anzeigen

DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

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V3 Major Upgrades

  • Brand New YOLO V2 based Detection Architechture
  • Navigate Entire Audio Files to Quickly & Easily Refine Detections or Add New Boxes
  • Retrain Existing Networks With Your Own Recordings
  • Start From Scratch: Hand Box Calls and Train a New Species Detector
  • Contour Invarient Clustering With Variational Auto Encoders
  • Brand New Clustering GUI

Copyright © 2021 by Ruby Marx, Kevin Coffey, Robert Ciszek, & Leonardo Lara-Valderrábano All Rights Reserved.

Zitieren als

Coffey, K.R., Marx, R.G. & Neumaier, J.F. (2019). DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations. Neuropsychopharmacology. 44, 859–868. https://doi.org/10.1038/s41386-018-0303-6

Kompatibilität der MATLAB-Version
Erstellt mit R2020a
Kompatibel mit R2019a bis R2021a
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
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Functions

Functions/Call Classification

Functions/Colormaps

Functions/Import and Export

Functions/Network Training

Functions/Variational Autoencoder

Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
3.0.1

New Image & Title
3.0.0

V3 Major Upgrades

Brand New YOLO V2 based Detection Architechture
Navigate Entire Audio Files to Quickly & Easily Refine Detections or Add New Boxes
Retrain Existing Networks With Your Own Recordings
Start From Scratch: Hand Box Call
2.6.1

Minor Bug Fixes
2.6.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.