.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "11_demos\itom\ui\demo_cloudViewer.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_11_demos_itom_ui_demo_cloudViewer.py>`
        to download the full example code.

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

.. _sphx_glr_11_demos_itom_ui_demo_cloudViewer.py:

Cloud viewer
===============

.. GENERATED FROM PYTHON SOURCE LINES 5-22

.. code-block:: Python


    import numpy as np
    from itom import pointCloud
    from itom import polygonMesh
    from itom import ui
    from itom import dataObject

    try:
        from itom import pointCloud
    except Exception as ex:
        ui.msgInformation(
            "PointCloud missing",
            "your itom version is compiled without support of pointClouds",
        )
        raise ex









.. GENERATED FROM PYTHON SOURCE LINES 24-26

Create a data objects with X, Y and Z values of a topography
as well as a 2.5D topography in terms of a data object.

.. GENERATED FROM PYTHON SOURCE LINES 26-34

.. code-block:: Python

    [X, Y] = np.meshgrid(np.arange(0, 5, 0.1), np.arange(0, 5, 0.1))
    Z = np.sin(X * 2) + np.cos(Y * 0.5)
    I = np.random.rand(*X.shape)  # further intensity
    C = dataObject.randN([X.shape[0], X.shape[1]], "rgba32")  # further color information
    topography = dataObject(Z).astype("float32")
    topography.axisScales = (0.1, 0.1)
    topography[0, 0] = float("nan")








.. GENERATED FROM PYTHON SOURCE LINES 35-36

Create a point cloud from the X, Y and Z arrays with further intensity information.

.. GENERATED FROM PYTHON SOURCE LINES 36-38

.. code-block:: Python

    cloud1 = pointCloud.fromXYZI(X, Y, Z, I)








.. GENERATED FROM PYTHON SOURCE LINES 39-40

Create a point cloud from the topography image with further colour information.

.. GENERATED FROM PYTHON SOURCE LINES 40-42

.. code-block:: Python

    cloud2 = pointCloud.fromTopography(topography, color=C)








.. GENERATED FROM PYTHON SOURCE LINES 43-44

Create a point cloud from the X, Y and Z arrays with further colour information.

.. GENERATED FROM PYTHON SOURCE LINES 44-46

.. code-block:: Python

    cloud3 = pointCloud.fromXYZRGBA(X, Y, Z, C)








.. GENERATED FROM PYTHON SOURCE LINES 47-48

Create a point cloud from the X, Y and Z arrays with the Z-values as intensity information.

.. GENERATED FROM PYTHON SOURCE LINES 48-50

.. code-block:: Python

    cloud4 = pointCloud.fromXYZI(X, Y, Z - 0.1, Z)








.. GENERATED FROM PYTHON SOURCE LINES 51-53

Manually create triangular polygons for the whole surface
the polygons are regularly distributed and each rectangle is divided into two polygons.

.. GENERATED FROM PYTHON SOURCE LINES 53-68

.. code-block:: Python

    polygons = dataObject.zeros([2 * 49 * 49, 3], "uint16")
    c = 0
    for row in range(0, 49):
        for col in range(0, 49):
            polygons[c, 0] = row * 50 + col
            polygons[c, 1] = (row + 1) * 50 + col
            polygons[c, 2] = row * 50 + 1 + col
            c += 1
    for row in range(0, 49):
        for col in range(0, 49):
            polygons[c, 0] = (row + 1) * 50 + col
            polygons[c, 1] = (row + 1) * 50 + col + 1
            polygons[c, 2] = row * 50 + col + 1
            c += 1








.. GENERATED FROM PYTHON SOURCE LINES 69-70

Create polygonal mesh structure from cloud3 and polygons.

.. GENERATED FROM PYTHON SOURCE LINES 70-72

.. code-block:: Python

    mesh = polygonMesh.fromCloudAndPolygons(cloud3, polygons)








.. GENERATED FROM PYTHON SOURCE LINES 73-76

As alternative approach you can directly create the same polygonal mesh
from the point cloud if you know that the point cloud is organized, hence,
the points are located like in a regular grid.

.. GENERATED FROM PYTHON SOURCE LINES 76-78

.. code-block:: Python

    mesh2 = polygonMesh.fromOrganizedCloud(cloud2)








.. GENERATED FROM PYTHON SOURCE LINES 79-80

Create GUI (3D Viewer)

.. GENERATED FROM PYTHON SOURCE LINES 80-94

.. code-block:: Python

    gui = ui("cloudViewer.ui", ui.TYPEWINDOW)

    # gui.plot.call("addPointCloud",cloud1,"cloud1")
    # gui.plot.call("addPointCloud",cloud2,"cloud2")
    # gui.plot.call("addPointCloud",cloud3,"cloud3")
    gui.plot.call(
        "addPointCloud", cloud4, "cloud4"
    )  # visualize cloud4 under the name 'cloud4'
    gui.plot.call(
        "setItemProperty", "cloud4", "PointSize", 10
    )  # change the property PointSize of this point
    # gui.plot.call("addMesh",mesh,"mesh")
    gui.plot.call("addMesh", mesh2, "mesh2")  # visualize the mesh2 under the name 'mesh2'
    gui.show()








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

   **Total running time of the script:** (0 minutes 0.032 seconds)


.. _sphx_glr_download_11_demos_itom_ui_demo_cloudViewer.py:

.. only:: html

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

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

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

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

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

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

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