.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/20_stream/viz_no_interaction.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_20_stream_viz_no_interaction.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_20_stream_viz_no_interaction.py:


====================================
Streaming FURY with WebRTC/MJPEG
====================================

.. GENERATED FROM PYTHON SOURCE LINES 6-107



.. image-sg:: /auto_examples/20_stream/images/sphx_glr_viz_no_interaction_001.png
   :alt: viz no interaction
   :srcset: /auto_examples/20_stream/images/sphx_glr_viz_no_interaction_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    webrtc not available
    Dataset is already in place. If you want to fetch it again please first remove the folder /Users/skoudoro/.fury/examples/wiki_nw 
    More information about complex networks can be found in this papers: https://arxiv.org/abs/0711.3199






|

.. code-block:: Python


    import multiprocessing
    from os.path import join as pjoin

    # if this example it's not working for you and you're using MacOs
    # uncomment the following line
    # multiprocessing.set_start_method('spawn')
    import numpy as np

    from fury import actor
    from fury import colormap as cmap
    from fury import window
    from fury.data.fetcher import fetch_viz_wiki_nw
    from fury.stream.client import FuryStreamClient
    from fury.stream.server.main import web_server_raw_array

    if __name__ == '__main__':

        interactive = False
        ###########################################################################
        # First we will set the resolution which it'll be used by the streamer

        window_size = (400, 400)

        files, folder = fetch_viz_wiki_nw()
        categories_file, edges_file, positions_file = sorted(files.keys())
        positions = np.loadtxt(pjoin(folder, positions_file))
        categories = np.loadtxt(pjoin(folder, categories_file), dtype=str)
        edges = np.loadtxt(pjoin(folder, edges_file), dtype=int)
        category2index = {category: i for i, category in enumerate(np.unique(categories))}

        index2category = np.unique(categories)

        categoryColors = cmap.distinguishable_colormap(nb_colors=len(index2category))

        colors = np.array(
            [categoryColors[category2index[category]] for category in categories]
        )
        radii = 1 + np.random.rand(len(positions))

        edgesPositions = []
        edgesColors = []
        for source, target in edges:
            edgesPositions.append(np.array([positions[source], positions[target]]))
            edgesColors.append(np.array([colors[source], colors[target]]))

        edgesPositions = np.array(edgesPositions)
        edgesColors = np.average(np.array(edgesColors), axis=1)

        sphere_actor = actor.sdf(
            centers=positions,
            colors=colors,
            primitives='sphere',
            scales=radii * 0.5,
        )

        lines_actor = actor.line(
            edgesPositions,
            colors=edgesColors,
            opacity=0.1,
        )
        scene = window.Scene()

        scene.add(lines_actor)
        scene.add(sphere_actor)

        scene.set_camera(
            position=(0, 0, 1000), focal_point=(0.0, 0.0, 0.0), view_up=(0.0, 0.0, 0.0)
        )

        showm = window.ShowManager(
            scene,
            reset_camera=False,
            size=(window_size[0], window_size[1]),
            order_transparent=False,
        )

        ###########################################################################
        # ms define the amount of mileseconds that will be used in the timer event.

        ms = 0

        stream = FuryStreamClient(showm, use_raw_array=True)
        p = multiprocessing.Process(
            target=web_server_raw_array,
            args=(
                stream.img_manager.image_buffers,
                stream.img_manager.info_buffer,
            ),
        )
        p.start()

        stream.start(
            ms,
        )
        if interactive:
            showm.start()
        stream.stop()
        stream.cleanup()

        window.record(showm.scene, size=window_size, out_path='viz_no_interaction.png')


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

   **Total running time of the script:** (0 minutes 1.397 seconds)


.. _sphx_glr_download_auto_examples_20_stream_viz_no_interaction.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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