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MyPTV: A Python Package for 3D Particle Tracking

Authors: Ron Shnapp;

MyPTV: A Python Package for 3D Particle Tracking

Abstract

This is the first release of MyPTV, which coincides with the acceptance of the first paper concerning MyPTV in the Journal of Open Source Software (JOSS) for publication. MyPTV currently includes: All the modules necessary for post-processing a 3D-PTV experiment from calibration down to trajectory conditioning. A pip installation setup with automatic tests. A user manual that outlines the different functions and how to use them. An example folder with the workflow.py script, which offers a command line based interface to use MyPTV without going through it's core. This is the time to thank the JOSS team for the incredible work they are doing, making science more accessible by supporting open source software. Another bug thank you goes those who helped reaching this point by testing MyPTV in their experiments, opening issues on our repository, and having in depth discussions on what and how MyPTV is to be further developed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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19