Software Open Access
Guillermo Cortés Moreno;
Roberto Carniel;
Philippe Lesage;
María Ángeles Mendoza Pérez
Volcano-seismic recognition - VSR software supporting the VULCAN.ears EU-funded project via H2020-MSCA-IF-2016 Grant
This framework has been developed using Python.3 scientific libraries and wxPython.4 graphical widgets, being composed of:
A working snapshot of pyVERSO scripts is freely distributed in this package, in order to build own VSR-models of volcano-seismic classes given a labelled database of a given volcano. Once they're built, can be used to monitor this volcano in real-time and continuous operation using the liveVSR tool or be exported to geoStudio to perform an offline analysis of non-labelled data. This software includes also a VSR - workpath as an example, prepared to build models from Deception Volcano.
NOTE! that in order to perform VSR tasks, it is mandatory to have a working installation of the HTK tools in your system.You can freely download your copy (after registration) at the HTK web.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No.[749249] (VULCAN.ears).
Name | Size | |
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pyVERSO__VSR.workpath.zip
md5:f3fc3ddf98093e2e2802dd5774ef0275 |
128.6 MB | Download |
All versions | This version | |
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Views | 294 | 294 |
Downloads | 12 | 12 |
Data volume | 1.5 GB | 1.5 GB |
Unique views | 260 | 260 |
Unique downloads | 12 | 12 |