.. _network_installation_win64:

******************************************
Windows
******************************************


.. _QGIS_network_installation_win64bit:
 
QGIS download and installation
------------------------------------------

* Download the latest QGIS version 64 bit using the OSGeo4W network installer
  `from here <https://download.osgeo.org/osgeo4w/v2/osgeo4w-setup.exe>`_ ;

* Execute the QGIS installer and select ``Advanced Install``;

.. image:: _static/installation/osgeo_installer.jpg

* Select ``Install from Internet``; proceed selecting the default installation
  directory and the preferred network configuration;

.. image:: _static/installation/osgeo_advanced.jpg


* In the menu ``Select packages`` select
  ``All > Desktop > qgis-full-free``;


.. image:: _static/installation/osgeo_packages.jpg


* Click ``Next`` and accept to install the required dependencies;

.. image:: _static/installation/osgeo_dependencies.jpg


The download of the programs will start, and QGIS will be installed.

.. image:: _static/installation/QGIS.jpg


.. _installation_dependencies_network_win64bit:

Installation of required dependencies
-------------------------------------------------

The Semi-Automatic Classification Plugin requires Remotior Sensus, GDAL, NumPy
and SciPy for the main functionalities.
Optionally, scikit-learn and PyTorch are required for machine learning and
additional functionalities.

The Semi-Automatic Classification Plugin can automatically download and
install Remotior Sensus.
Therefore, it is recommended install the dependencies that are not included in
the QGIS installation.


* Close QGIS;

* From the Start menu, open OSGeo4W Shell (administrative rights may be
  required);

.. image:: _static/installation/osgeo4w_shell.jpg


* Enter the following command and execute it:

.. code-block:: bash

    pip3 install scikit-learn scipy torch torchvision --index-url https://download.pytorch.org/whl/cpu


.. tip::
    If the system has GPU support please refer to the PyTorch
    documentation for installation  https://pytorch.org/get-started/locally/


.. _plugin_installation_win64bit_network:
 
Semi-Automatic Classification Plugin installation
---------------------------------------------------

* Run QGIS;

* From the main menu, select ``Plugins`` > ``Manage and Install Plugins``;

.. image:: _static/installation/install.jpg

* From the menu ``All``, select the Semi-Automatic Classification Plugin and
  click the button ``Install plugin``;


.. image:: _static/installation/plugins.jpg

* The SCP should be automatically activated; however, be sure that the
  Semi-Automatic Classification Plugin is checked in the menu ``Installed``
  (the restart of QGIS could be necessary to complete the SCP installation);

.. image:: _static/installation/plugins_installed.jpg


.. _plugin_configuration_win64bit_network:

Configuration of the plugin
---------------------------

Now, the Semi-Automatic Classification Plugin is installed.

A :guilabel:`Simplified interface` is loaded after the first installation of
the plugin.
It is especially designed for new users in order to ease the classification
process, from the definition of input images to executing the classification
algorithm.
Also, a SCP menu is available in the Menu Bar of QGIS.
It is possible to move the dock according to your needs,
as in the following image.

.. image:: _static/installation/SemiAutomaticClassificationPlugin.jpg


.. |settings_tool| image:: _static/semiautomaticclassificationplugin_settings_tool.png
    :width: 20pt

The configuration of available RAM is recommended in order to reduce
the processing time.
From the :ref:`SCP_menu` select |settings_tool| ``Settings`` .

.. image:: _static/interface/scp_menu_simplified.png

In the :ref:`settings_tab`, set the ``Available RAM (MB)`` to a value that
should be half of the system RAM.
For instance, if your system has 4GB of RAM, set the value to 2048MB.

The :guilabel:`Complete interface` can be loaded from the settings in the
:ref:`SCP_menu`, by deselecting :guilabel:`Simplified interface` and
restarting QGIS.