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

.. only:: html

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

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

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

.. _sphx_glr__gallery_image_volume_image_volume_mip.py:


Volume Mip mode
===============

View a volume using MIP (Maximum Intensity Projection) rendering.

.. GENERATED FROM PYTHON SOURCE LINES 7-47



.. image-sg:: /_gallery/image_volume/images/sphx_glr_image_volume_mip_001.webp
   :alt: image volume mip
   :srcset: /_gallery/image_volume/images/sphx_glr_image_volume_mip_001.webp
   :class: sphx-glr-single-img


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

 .. code-block:: none

    Imageio: 'stent.npz' was not found on your computer; downloading it now.
    Try 1. Download from https://github.com/imageio/imageio-binaries/raw/master/images/stent.npz (805 kB)
    Downloading: 8192/824612 bytes (1.0%)824612/824612 bytes (100.0%)
      Done
    File saved as /home/runner/.imageio/images/stent.npz.
    /opt/hostedtoolcache/Python/3.12.11/x64/lib/python3.12/site-packages/pygfx/objects/_ruler.py:400: RuntimeWarning: divide by zero encountered in divide
      screen_full = (ndc_full[:, :2] / ndc_full[:, 3:4]) * half_canvas_size
    /opt/hostedtoolcache/Python/3.12.11/x64/lib/python3.12/site-packages/pygfx/objects/_ruler.py:400: RuntimeWarning: invalid value encountered in divide
      screen_full = (ndc_full[:, :2] / ndc_full[:, 3:4]) * half_canvas_size
    /opt/hostedtoolcache/Python/3.12.11/x64/lib/python3.12/site-packages/pygfx/objects/_ruler.py:412: RuntimeWarning: invalid value encountered in divide
      screen_sel = (ndc_sel[:, :2] / ndc_sel[:, 3:4]) * half_canvas_size







|

.. code-block:: Python


    # test_example = true

    import numpy as np
    import fastplotlib as fpl
    import imageio.v3 as iio

    voldata = iio.imread("imageio:stent.npz").astype(np.float32)

    figure = fpl.Figure(cameras="3d", controller_types="orbit", size=(700, 560))

    figure[0, 0].add_image_volume(voldata, mode="mip", alpha_mode="add")

    figure.show()


    # load a pre-saved camera state
    state = {
        "position": np.array([-120, 90, 330]),
        "rotation": np.array([-0.07280538, -0.41100206, -0.03295049, 0.90812496]),
        "scale": np.array([1.0, 1.0, 1.0]),
        "reference_up": np.array([0.0, 1.0, 0.0]),
        "fov": 50.0,
        "width": 128.0,
        "height": 128.0,
        "depth": 313,
        "zoom": 0.75,
        "maintain_aspect": True,
        "depth_range": None,
    }


    figure[0, 0].camera.set_state(state)


    # NOTE: fpl.loop.run() should not be used for interactive sessions
    # See the "JupyterLab and IPython" section in the user guide
    if __name__ == "__main__":
        print(__doc__)
        fpl.loop.run()


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

   **Total running time of the script:** (0 minutes 1.237 seconds)


.. _sphx_glr_download__gallery_image_volume_image_volume_mip.py:

.. only:: html

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: image_volume_mip.zip <image_volume_mip.zip>`


.. only:: html

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

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