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Post processing routines for analysing PTV data.

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Flowtracks - postprocessing of 3D-PTV data

This package contains Flowtracks, a Python-package for post-processing of 3D Particle Tracking Velocimetry particle/trajectory databases.

The full documentation for this package may be built from the Sphinx sources in the doc/ directory. It is also available online:

http://flowtracks.readthedocs.org

Please refer to that documentation for the full information on installing, reference documentation and usage examples contained in the package.

The program is distributed under the terms of the GNU General Public License, version 3.0. For details, see the LICENSE.txt file.

How to cite this work

Meller, Y and Liberzon, A 2016 Particle Data Management Software for 3DParticle Tracking Velocimetry and Related Applications – The Flowtracks Package. Journal of Open Research Software, 4: e23, DOI: http://dx.doi.org/10.5334/jors.101

Getting Started

Obtaining the package and its dependencies

The most recent version of this package may be found under the auspices of the OpenPTV project, in its Github repository,

https://github.com/OpenPTV/postptv

Dependencies:

Installation

To install this package, follow the standard procedure for installing Python modules. The package may be installed either systemwide, in the default location, or for a single user, by changing the install location and updating environment variables in the standard way, as indicated by the Python documentation [1].

For a default systemwide installation: using a terminal, change directory into the root directory of theis program's source code, then run

python setup.py install

Note that for the default install you may need administrative privileges on the machine you are using. Consult the Python documentation for the single-user install procedure.

The install script will install the Python package in the default place for your platform. Additionally, it will install example scripts in a subdirectory flowtracks-examples/ under the default executable location, and a the documentation in the default package root. For information on where these directories are on your platform (and how to change them), refer to the Python documentation [1]. Other standard features of the setup script are also described therein.

The examples are Jupyter notebooks [2], and can be previewed without any special setup under the examples section of

http://flowtracks.readthedocs.org

[1] Python documentation: https://docs.python.org/2/install/index.html [2] http://jupyter.org/

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