Trying a from existing method

        return obj

    @classmethod

    def from_remote_database(cls, config, query_string='SELECT * FROM public.images'):

        """

        This is a constructor that takes an existing database containing images and sensors, 

        copies the selected rows into the project specified in the autocnet_config variable, 

        and instantiates a new NetworkCandidateGraph object. This method is

        similar to the `from_database` method. The main difference is that this

        method assumes that the image and sensor rows are prepopulated in an external db

        and simply copies those entires into the currently speficied project.

        """

        sourceSession, _ = new_connection(config)

        sourcesession = sourceSession()

        sourceimages = sourcesession.execute(query_string).all()

        #sourceimageids = [i.id for i in sourceimages]

        #sourcecameras = sourcesession.query(Cameras).filter(Cameras.id.in_(sourceimageids)).all()

        session = Session()

        session.add_all(sourceimages)

        session.commit()

        session.close()

        sourcesession.close()

    @classmethod

    def from_database(cls, query_string='SELECT * FROM public.images'):

        """

    engine = sqlalchemy.create_engine(db_uri,

                                      poolclass=sqlalchemy.pool.NullPool)

    Session = sqlalchemy.orm.sessionmaker(bind=engine, autocommit=True)

    return Session(), engine

    return Session, engine

        packages=find_packages(),

        include_package_data=True,

        package_data={'autocnet' : list(examples)},

        scripts=['bin/acn_submit', 'bin/acn_overlaps', 'bin/acn_subpixel'],

        scripts=['bin/acn_submit', 'bin/acn_overlaps', 'bin/acn_subpixel', 'bin/acn_load_images'],

        zip_safe=False,

        install_requires=[],

        classifiers=[