A semi-automatic toolbox for markerless effective semantic feature extraction

Author:

Pastore Vito Paolo,Moro Matteo,Odone Francesca

Abstract

AbstractVisionTool 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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