.. image:: https://zenodo.org/badge/368267301.svg
:target: https://zenodo.org/badge/latestdoi/368267301
The Package PyAFBF is intended for the simulation of rough anisotropic image textures. Textures are sampled from a mathematical model called the anisotropic fractional Brownian field. More details can be found on the `documentation <https://fjprichard.github.io/PyAFBF/>`_.
Package features
================
- Simulation of rough anisotropic textures,
- Computation of field features (semi-variogram, regularity, anisotropy indices) that can serve as texture attributes,
- Random definition of simulated fields,
- Extensions to related fields (deformed fields, intrinsic fields, heterogeneous fields, binary patterns).
Installation from sources
=========================
The package source can be downloaded from the `repository <https://github.com/fjprichard/PyAFBF>`_.
The package can be installed through PYPI with
pip install PyAFBF
To install the package in a Google Collab environment, please type
!pip install imgaug==0.2.6
!pip install PyAFBF
Communication to the author
===========================
PyAFBF is developed and maintained by Frédéric Richard. For feed-back, contributions, bug reports, contact directly the `author <https://github.com/fjprichard>`_, or use the `discussion <https://github.com/fjprichard/PyAFBF/discussions>`_ facility.
Licence
=======
PyAFBF is under licence GNU GPL, version 3.
Citation
========
When using PyAFBF, please cite the original paper
H. Biermé, M. Moisan, and F. Richard. A turning-band method for the simulation of anisotropic fractional Brownian field. J. Comput. Graph. Statist., 24(3):885–904, 2015.
and the JOSS paper:
.. image:: https://joss.theoj.org/papers/10.21105/joss.03821/status.svg
:target: https://doi.org/10.21105/joss.03821
Contents
========
- Quick start guide
- Getting started
- Customed models
- Tuning model parameters
- Model features
- Simulating with turning-band fields
- Example gallery
- Basic examples
- Extended anisotropic fields
- Heterogeneous fields
- Related anisotropic fields
- API: main classes
- AFBF (field)
- Turning band field (tbfield)
- API: auxiliary classes
- Periodic functions (perfunction)
- Coordinates (coordinates)
- Spatial data (sdata)
- Process (process)
- Turning bands (tbparameters)
- ndarray
Credits
=======
PyAFBF is written and maintained by Frederic Richard, Professor at Aix-Marseille University, France.
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"description": ".. image:: https://zenodo.org/badge/368267301.svg\n :target: https://zenodo.org/badge/latestdoi/368267301\n\nThe Package PyAFBF is intended for the simulation of rough anisotropic image textures. Textures are sampled from a mathematical model called the anisotropic fractional Brownian field. More details can be found on the `documentation <https://fjprichard.github.io/PyAFBF/>`_.\n\nPackage features\n================\n\n- Simulation of rough anisotropic textures,\n\n- Computation of field features (semi-variogram, regularity, anisotropy indices) that can serve as texture attributes,\n\n- Random definition of simulated fields,\n\n- Extensions to related fields (deformed fields, intrinsic fields, heterogeneous fields, binary patterns).\n\n\nInstallation from sources\n=========================\n\nThe package source can be downloaded from the `repository <https://github.com/fjprichard/PyAFBF>`_. \n\nThe package can be installed through PYPI with\n \n pip install PyAFBF\n \nTo install the package in a Google Collab environment, please type\n\n !pip install imgaug==0.2.6\n \n !pip install PyAFBF\n\nCommunication to the author\n===========================\n\nPyAFBF is developed and maintained by Fr\u00e9d\u00e9ric Richard. For feed-back, contributions, bug reports, contact directly the `author <https://github.com/fjprichard>`_, or use the `discussion <https://github.com/fjprichard/PyAFBF/discussions>`_ facility.\n\n\nLicence\n=======\n\nPyAFBF is under licence GNU GPL, version 3.\n\n\nCitation\n========\n\nWhen using PyAFBF, please cite the original paper\n\nH. Bierm\u00e9, M. Moisan, and F. Richard. A turning-band method for the simulation of anisotropic fractional Brownian field. J. Comput. Graph. Statist., 24(3):885\u2013904, 2015.\n\nand the JOSS paper:\n\n\n.. image:: https://joss.theoj.org/papers/10.21105/joss.03821/status.svg\n :target: https://doi.org/10.21105/joss.03821\n\n\nContents\n========\n\n - Quick start guide\n - Getting started\n - Customed models\n - Tuning model parameters\n - Model features\n - Simulating with turning-band fields\n - Example gallery\n - Basic examples\n - Extended anisotropic fields\n - Heterogeneous fields\n - Related anisotropic fields\n - API: main classes\n - AFBF (field)\n - Turning band field (tbfield)\n - API: auxiliary classes\n - Periodic functions (perfunction)\n - Coordinates (coordinates)\n - Spatial data (sdata)\n - Process (process)\n - Turning bands (tbparameters)\n - ndarray\n\n\n\nCredits\n=======\n\nPyAFBF is written and maintained by Frederic Richard, Professor at Aix-Marseille University, France.\n\n\n",
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