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FluidImage 0.5.5 documentation

  • Overview
  • Installation
  • Tutorials
  • Examples
  • Commands
    • Build from source
    • Overview of the package
    • API reference
    • FluidImage forge on Heptapod
    • FluidImage on PyPI
    • Release notes
    • Main contributors
    • Contribute to Fluidimage
  • Overview
  • Installation
  • Tutorials
  • Examples
  • Commands
  • Build from source
  • Overview of the package
  • API reference
  • FluidImage forge on Heptapod
  • FluidImage on PyPI
  • Release notes
  • Main contributors
  • Contribute to Fluidimage

Section Navigation

  • How to contribute to FluidDyn and fluidimage
  • Advice for FluidDyn developers
  • Overview of the package
  • Build from source
  • List of related open-source projects
    • Analysis of UVmat civ_series algorithm and parameters
  • To do list
  • Contribute to Fluidimage
  • List of related open-source projects

List of related open-source projects#

Compute Correlation#

  • reikna https://pypi.python.org/pypi/reikna

    GPGPU algorithms for PyCUDA and PyOpenCL.

  • PyCUDA https://documen.tician.de/pycuda/

    PyCUDA gives you easy, Pythonic access to Nvidia‘s CUDA parallel computation API

  • PyOpenCL https://documen.tician.de/pyopencl/

    PyOpenCL gives you easy, Pythonic access to the OpenCL parallel computation API

Compute PIV fields#

  • PIVlab (Matlab) http://pivlab.blogspot.fr/

    PIVlab is a time-resolved particle image velocimetry (PIV) software that does not only calculate the velocity distribution within particle image pairs, but can also be used to derive, display and export multiple parameters of the flow pattern. A user-friendly graphical user interface (GUI) makes PIV analyses and data post-processing fast and efficient.

  • OpenPIV (C++, Matlab, Python, http://www.openpiv.net/)

  • UVMAT (Matlab, J. Sommeria, http://servforge.legi.grenoble-inp.fr/projects/soft-uvmat)

    The free Matlab toolbox UVMAT provides a set of functions and graphic user interfaces for scanning images and data files (vectors and scalars in 2D and 3D), geometric calibrations, image processing and analysis of time series. It is designed to favor data management, relying on the standard NetCDF file format and XML documentation files.

    • Analysis of UVmat civ_series algorithm and parameters
  • civx (Fortran, http://sourceforge.net/p/civx, ENS Lyon, L. Gostiaux) + pyciv (J. Salort)

  • OCIV (C, http://osiv.sourceforge.net) Seems old (maintained?).

  • JPIV (Java, https://eguvep.github.io/jpiv/)

Analysis of PIV fields#

  • PIVmat (http://www.fast.u-psud.fr/pivmat/, Frédéric Moizy) Just for analysis of PIV fields, can not compute PIV. See also OpenPIV/pivpy (the Pythonized PIVMAT)

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