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A semi-automatic toolbox for markerless effective semantic feature extraction.
Pastore, Vito Paolo; Moro, Matteo; Odone, Francesca.
Affiliation
  • Pastore VP; Italian Institute of Technology (IIT), Genova, Italy. Vito.Paolo.Pastore@unige.it.
  • Moro M; Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova and with the Machine Learning Genoa (MaLGa) Center, Genova, Italy. Vito.Paolo.Pastore@unige.it.
  • Odone F; Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova and with the Machine Learning Genoa (MaLGa) Center, Genova, Italy.
Sci Rep ; 12(1): 11899, 2022 07 13.
Article de En | MEDLINE | ID: mdl-35831385
ABSTRACT
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 .
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Sémantique / Logiciel Langue: En Journal: Sci Rep Année: 2022 Type de document: Article Pays d'affiliation: Italie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Sémantique / Logiciel Langue: En Journal: Sci Rep Année: 2022 Type de document: Article Pays d'affiliation: Italie