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A semi-automatic toolbox for markerless effective semantic feature extraction.
Pastore, Vito Paolo; Moro, Matteo; Odone, Francesca.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-35831385
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 .
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Programas Informáticos Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Programas Informáticos Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Italia