A semi-automatic toolbox for markerless effective semantic feature extraction

VisionTool is an open-source python toolbox for semantic features extraction, capable to provide accurate features detectors for different applications, including motion analysis, markerless pose estimation, face recognition and biological cell tracking. VisionTool leverages transfer-learning with a...

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Detalles Bibliográficos
Autores principales: Pastore, Vito Paolo, Moro, Matteo, Odone, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279291/
https://www.ncbi.nlm.nih.gov/pubmed/35831385
http://dx.doi.org/10.1038/s41598-022-16014-8
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author Pastore, Vito Paolo
Moro, Matteo
Odone, Francesca
author_facet Pastore, Vito Paolo
Moro, Matteo
Odone, Francesca
author_sort Pastore, Vito Paolo
collection PubMed
description VisionTool is an open-source python toolbox for semantic features extraction, capable to provide accurate features detectors for different applications, including motion analysis, markerless pose estimation, face recognition and biological cell tracking. VisionTool leverages transfer-learning with a large variety of deep neural networks allowing high-accuracy features detection with few training data. The toolbox offers a friendly graphical user interface, efficiently guiding the user through the entire process of features extraction. To facilitate broad usage and scientific community contribution, the code and a user guide are available at https://github.com/Malga-Vision/VisionTool.git.
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spelling pubmed-92792912022-07-15 A semi-automatic toolbox for markerless effective semantic feature extraction Pastore, Vito Paolo Moro, Matteo Odone, Francesca Sci Rep Article VisionTool is an open-source python toolbox for semantic features extraction, capable to provide accurate features detectors for different applications, including motion analysis, markerless pose estimation, face recognition and biological cell tracking. VisionTool leverages transfer-learning with a large variety of deep neural networks allowing high-accuracy features detection with few training data. The toolbox offers a friendly graphical user interface, efficiently guiding the user through the entire process of features extraction. To facilitate broad usage and scientific community contribution, the code and a user guide are available at https://github.com/Malga-Vision/VisionTool.git. Nature Publishing Group UK 2022-07-13 /pmc/articles/PMC9279291/ /pubmed/35831385 http://dx.doi.org/10.1038/s41598-022-16014-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pastore, Vito Paolo
Moro, Matteo
Odone, Francesca
A semi-automatic toolbox for markerless effective semantic feature extraction
title A semi-automatic toolbox for markerless effective semantic feature extraction
title_full A semi-automatic toolbox for markerless effective semantic feature extraction
title_fullStr A semi-automatic toolbox for markerless effective semantic feature extraction
title_full_unstemmed A semi-automatic toolbox for markerless effective semantic feature extraction
title_short A semi-automatic toolbox for markerless effective semantic feature extraction
title_sort semi-automatic toolbox for markerless effective semantic feature extraction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279291/
https://www.ncbi.nlm.nih.gov/pubmed/35831385
http://dx.doi.org/10.1038/s41598-022-16014-8
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