DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.
D. melanogaster
Equus grevyi
Grévy's zebra
Schistocerca gregaria
desert locust
neuroscience
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
01 10 2019
01 10 2019
Historique:
received:
26
04
2019
accepted:
18
09
2019
pubmed:
2
10
2019
medline:
6
5
2020
entrez:
2
10
2019
Statut:
epublish
Résumé
Quantitative behavioral measurements are important for answering questions across scientific disciplines-from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to automatically estimate locations of an animal's body parts directly from images or videos. However, currently available animal pose estimation methods have limitations in speed and robustness. Here, we introduce a new easy-to-use software toolkit,
Identifiants
pubmed: 31570119
doi: 10.7554/eLife.47994
pii: 47994
pmc: PMC6897514
doi:
pii:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Science Foundation
ID : IOS-1355061
Pays : International
Organisme : Office of Naval Research
ID : N00014-09-1-1074
Pays : International
Organisme : Office of Naval Research
ID : N00014-14-1-0635
Pays : International
Organisme : Army Research Office
ID : W911NG-11-1-0385
Pays : International
Organisme : Army Research Office
ID : W911NF14-1-0431
Pays : International
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG Centre of Excellence 2117
Pays : International
Organisme : University of Konstanz
ID : Zukunftskolleg Investment Grant
Pays : International
Organisme : Ministry of Science, Research and Art Baden-Württemberg
ID : The Strukture-und Innovations fonds fur die Forschung of the State of Baden-Wurttemberg
Pays : International
Organisme : Horizon 2020 Framework Programme
ID : Marie Sklodowska-Curie grant agreement No. 748549
Pays : International
Organisme : Nvidia
ID : GPU Grant
Pays : International
Organisme : Nvidia
ID : GPU Grant
Pays : International
Informations de copyright
© 2019, Graving et al.
Déclaration de conflit d'intérêts
JG, DC, HN, LL, BK, BC No competing interests declared, IC Reviewing editor, eLife
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