Remove build files from remote.

docs/_build/html/_sources/source/installation.rst.txt

-.. Installation:
-
-Installation
-============
-
-Download
----------
-You can download ``pysegcnn`` from this repository's
-`website <https://gitlab.inf.unibz.it/REMSEN/ccisnow/pysegcnn>`_
-or alternatively use ``git`` from terminal:
-
-.. code-block:: bash
-
-    git clone https://gitlab.inf.unibz.it/REMSEN/ccisnow/pysegcnn.git
-
-This creates a copy of the repository in your current directory on the file
-system.
-
-Conda package manager
----------------------
-
-To install ``pysegcnn``, I recommend to use the ``conda`` package manager.
-You can download ``conda`` `here <https://docs.conda.io/en/latest/miniconda.html>`_.
-Once successfully installed ``conda``, I recommend to add ``conda-forge`` as
-your default channel:
-
-.. code-block:: bash
-
-    conda config --add channels conda-forge
-
-Conda environment
------------------
-
-To install ``pysegcnn``, I recommend to create a specific ``conda``
-`environment <https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html>`_,
-by using the provided ``environment.yml`` file. In a terminal, navigate to the
-**cloned git repositories root directory** and type:
-
-.. code-block:: bash
-
-    conda env create -f environment.yml
-
-This may take a while. The above command creates a conda environment with all
-required dependencies except the ``pytorch`` package. The first line in
-``environment.yml`` defines the environment name, in this case ``pysegcnn``.
-Activate your environment using:
-
-.. code-block:: bash
-
-    conda activate pysegcnn
-
-Install PyTorch
----------------
-The installation of ``pytorch`` is heavily dependent on the hardware of your
-machine. Therefore, after activating your environment, install the version of
-`PyTorch <https://pytorch.org/>`_ that your system supports by following the
-official `instructions <https://pytorch.org/get-started/locally/>`_.
-
-If you have to build ``pytorch`` from source, follow this
-`guide <https://github.com/pytorch/pytorch#from-source>`_.
-
-To verify the installation, run some sample PyTorch
-`code <https://pytorch.org/get-started/locally/#linux-verification>`_.
-
-Install PySegCNN
-----------------
-To finally install ``pysegcnn`` run the below command **from this repositories
-root directory within the activated ``pysegcnn`` conda environment**:
-
-.. code-block:: bash
-
-    pip install -e .
-
-If successful, you should be able to import ``pysegcnn`` from any Python
-interpreter using:
-
-.. code-block:: python
-
-    import pysegcnn

docs/_build/html/_sources/source/requirements.rst.txt

-Requirements
-============
-``pysegcnn`` is a pure Python package that works on both Windows and Linux.
-
-.. important:
-
-    ``pysegcnn`` requires ``Python >= 3.7``.
-
-Dependencies
-^^^^^^^^^^^^
-
-Here is a list of all dependencies of ``pysegcnn``.
-
-Machine learning framework
-^^^^^^^^^^^^^^^^^^^^^^^^^^
-    - pytorch
-
-SciPy stack
-^^^^^^^^^^^
-    - numpy
-    - scipy
-    - matplotlib
-
-Raster tools
-^^^^^^^^^^^^
-    - gdal
-
-Testing
-^^^^^^^
-    - pytest
-
-And if you want to build the documentation:
-    - sphinx
-    - sphinx_rtd_theme
-
-If you are using `conda <https://docs.conda.io/en/latest/miniconda.html>`_,
-you can use the ``environment.yml`` file that ships with ``pysegcnn`` to take
-care of the dependencies, see :doc:`installation`.
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docs/_build/html/_static/css/badge_only.css

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