|full tool name| (|app|)
============================================

|developers|

|app| (|full tool name|) provides a set of Python modules that utilize deep learning (DL), and computer vision (CV) techniques to extract information from satellite and street level images. The |app| framework also provides turn-key applications allowing users to put individual modules together to determine multiple attributes in a single pass or train general-purpose image classification, object detection, or semantic segmentation models.

This document covers the features and capabilities of Version |release| of the tool. Users are encouraged to comment on what additional features and capabilities they would like to see in future versions of the application through the |messageBoard|.

.. _lbl-front-matter:

.. toctree::
   :caption: About
   :maxdepth: 1
   :numbered: 4

   common/about/about.rst
   common/about/acknowledgements.rst
   common/about/license
   common/about/cite.rst
   common/about/glossary.rst
   common/about/abbreviations.rst
   common/about/releasenotes.rst

.. _lbl-user-manual:

.. toctree::
   :caption: User Manual
   :maxdepth: 1
   :numbered: 4

   common/user_manual//installation
   common/user_manual/userGuide
   common/user_manual/troubleshooting
   common/user_manual/examples
   common/user_manual/bugs

.. _lbl-technical-manual:

.. toctree::
   :caption: Technical Manual
   :maxdepth: 1
   :numbered: 2

   common/technical_manual/theory
   common/technical_manual/vnv
   common/technical_manual/understand

Contact
---------------------------
NHERI-SimCenter nheri-simcenter@berkeley.edu