.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples\plot_database.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_auto_examples_plot_database.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_database.py:


=================
Texture Patchwork
=================

.. codeauthor:: Frédéric Richard <frederic.richard_at_univ-amu.fr>

This example shows how to build a series of simulations of a field model by
changing its parameter values at random. This is useful to construct a dataset
of textures.

.. GENERATED FROM PYTHON SOURCE LINES 50-113



.. image:: /auto_examples/images/sphx_glr_plot_database_001.png
    :alt: plot database
    :class: sphx-glr-single-img





.. code-block:: default

    from matplotlib import pyplot as plt
    import matplotlib.gridspec as gridspec


    import numpy as np

    from afbf import tbfield, coordinates

    ncols = 10
    nrows = 10
    nbexamples = ncols * nrows  # Number of examples.
    N = 100  # Size of examples.

    # Mode of simulation for step values (alt, 'unif', 'unifmax', or 'unifrange').
    simstep = 'unifmin'
    # Mode of simulation for step interval bounds (alt, 'nonunif').
    simbounds = 'unif'

    # Define the field to be simulated and coordinates where to simulate.
    field = tbfield('afbf-smooth')
    coord = coordinates(N)

    # Set the mode of simulation for the Hurst function.
    field.hurst.SetStepSampleMode(mode_cst=simstep, mode_int=simbounds)

    # Prepare the figure
    fig = plt.figure(figsize=(nrows, ncols))
    gs = gridspec.GridSpec(nrows, ncols)
    gs.update(wspace=0.05, hspace=0.05)  # Set axe spacing.

    # Generate several examples.
    for example in range(nbexamples):
        # Sample new model parameters.
        np.random.seed(example)
        field.hurst.ChangeParameters()
        field.topo.ChangeParameters()
        # Uncomment to show field parameters.
        # field.DisplayParameters()

        # Compute field features.
        field.ComputeFeatures()
        # Uncomment to show some field features.
        # print('Hurst index:', field.H)
        # print('Std deviation (hurst):', field.aniso_indices_hurst[0])
        # print('TV-norm (hurst):', field.aniso_sharpness_hurst[0])

        # Simulate an example with the current model.
        np.random.seed(example)
        field.EvaluateTurningBandParameters()
        simu = field.Simulate(coord)
        # Uncomment to display the field simulation.
        # simu.Display(2)

        # To handle simu as an ndarray of numpy, set
        image = np.reshape(simu.values, simu.M)
        # To further display it with pyplot of matplotlib:
        i = int(np.floor(example / ncols))
        j = int(example - i * ncols)
        ax = plt.subplot(gs[i, j])
        ax.imshow(image, cmap='gray')
        ax.set_axis_off()

    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 2 minutes  15.834 seconds)


.. _sphx_glr_download_auto_examples_plot_database.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: plot_database.py <plot_database.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: plot_database.ipynb <plot_database.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_