DeepSqueak
DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research
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.
Cita come
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
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Functions
Functions/Call Classification
Functions/Colormaps
Functions/Import and Export
Functions/Network Training
Functions/Variational Autoencoder
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
Versione | Pubblicato | Note della release | |
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3.0.1 | New Image & Title |
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3.0.0 | V3 Major Upgrades Brand New YOLO V2 based Detection Architechture
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2.6.1 | Minor Bug Fixes |
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2.6.0 |
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