Python Laser Image Visualization
Tool showing pictures from different cameras (directories) in a grid and a stepwise counter-based scroll functionality. Most of the layout and (future) filter options are defined by command line to allow an easy integration into an workflow based on CWL, OWL (or Knime). In future developments most of the parameters can be changed interactive and saved to a json file which can be used to describe the next workflow inputs, so that an interactive workflow development is possible.
Keywords: Python, Laser, Visualization, Cameras, Laser Ion Acceleration, Qt5
Resource type: software, git
Target audience: PaN Community, Photon Community
Difficulty level: Medium
Licence: MIT License
Authors:
Oliver Knodel
Python Laser Image Visualization
https://gitlab.hzdr.de/fwcc/data-management/user-project-documentation/laserviztool
https://pan-training.eu/materials/python-laser-image-visualization
Tool showing pictures from different cameras (directories) in a grid and a stepwise counter-based scroll functionality. Most of the layout and (future) filter options are defined by command line to allow an easy integration into an workflow based on CWL, OWL (or Knime). In future developments most of the parameters can be changed interactive and saved to a json file which can be used to describe the next workflow inputs, so that an interactive workflow development is possible.
Python, Laser, Visualization, Cameras, Laser Ion Acceleration, Qt5
PaN Community
Photon Community
0
