:py:mod:`cars.applications.auxiliary_filling.auxiliary_filling_tools`
=====================================================================

.. py:module:: cars.applications.auxiliary_filling.auxiliary_filling_tools

.. autoapi-nested-parse::

   this module contains the AuxiliaryFillingFromSensors application class.



Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   cars.applications.auxiliary_filling.auxiliary_filling_tools.fill_auxiliary
   cars.applications.auxiliary_filling.auxiliary_filling_tools.fill_from_one_sensor
   cars.applications.auxiliary_filling.auxiliary_filling_tools.compute_sensor_bounds
   cars.applications.auxiliary_filling.auxiliary_filling_tools.filter_sensor_inputs



.. py:function:: fill_auxiliary(sensor_inputs, pairing, longitudes, latitudes, altitudes, geom_plugin, number_of_color_bands, number_of_classification_bands, color_interpolator, use_mask=False)

   Compute color and classification for a list of points (lon, lat, alt) using
   information from sensor images

   :param sensor_inputs: dictionary containing paths to input images and models
   :type sensor_inputs: dict
   :param pairing: pairing between input images
   :type pairing: list
   :param longitudes: list containing longitudes coordinates
   :type longitudes: list
   :param latitudes: list containing latitudes coordinates
   :type latitudes: list
   :param altitudes: list containing altitudes coordinates
   :type altitudes: list
   :param geom_plugin: geometry plugin used for inverse locations
   :type geom_plugin: AbstractGeometry
   :param number_of_color_bands: number of bands in the color image
   :type number_of_color_bands: int
   :param number_of_classification_bands: number of bands in the color image
   :type number_of_classification_bands: int
   :param color_interpolator: scipy interpolator use to interpolate color
       values
   :type color_interpolator: str
   :param use_mask: use mask information from sensors in color computation
   :type use_mask: bool



.. py:function:: fill_from_one_sensor(sensor, filled_color, filled_classif, weights, longitudes, latitudes, altitudes, geom_plugin, number_of_color_bands, number_of_classification_bands, color_interpolator, not_interpolated_mask=None, use_mask=False, return_all_points=False)

   Compute color and classification contribution  for a list of points
   (lon, lat, alt) using information from a sensor image

   :param sensor: dictionary containing paths to input images and model
   :type sensor: dict
   :param filled_color: array containing (non normalized) color information
   :type filled_color: numpy.ndarray
   :param filled_classif: array containing classification information
   :type filled_classif: numpy.array
   :param weights: array containing weight for normalization
   :type weights: numpy.array
   :param longitudes: list containing longitudes coordinates
   :type longitudes: list
   :param latitudes: list containing latitudes coordinates
   :type latitudes: list
   :param altitudes: list containing altitudes coordinates
   :type altitudes: list
   :param geom_plugin: geometry plugin used for inverse locations
   :type geom_plugin: AbstractGeometry
   :param number_of_color_bands: number of bands in the color image
   :type number_of_color_bands: int
   :param number_of_classification_bands: number of bands in the color image
   :type number_of_classification_bands: int
   :param color_interpolator: scipy interpolator use to interpolate color
       values
   :type color_interpolator: str
   :param not_interpolated_mask: use mask information in color computation
   :type not_interpolated_mask: numpy.array
   :param use_mask: use mask information in color computation
   :type use_mask: bool
   :param return_all_points: compute interpolated values for all points
   :type return_all_points: bool



.. py:function:: compute_sensor_bounds(sensor_inputs, geom_plugin, output_epsg)

   Compute bounds of each input sensor that have an associated color or
   classification image

   :param sensor_inputs: dictionary containing paths to input images and models
   :type sensor_inputs: dict
   :param geom_plugin: geometry plugin used for inverse locations
   :type geom_plugin: AbstractGeometry
   :param geom_plugin: geometry plugin used for inverse locations
   :type geom_plugin: AbstractGeometry
   :param output_epsg: epsg of the output polygons
   :type output_epsg: int

   :return: a dictionary containing a Polygon in output geometry for each
       valid input sensor


.. py:function:: filter_sensor_inputs(sensor_inputs, sensor_bounds, ground_polygon)

   Filter input sensors by comparing their bounds to a reference Polygon

   :param sensor_inputs: dictionary containing paths to input images and models
   :type sensor_inputs: dict
   :param sensor_bounds: dictionary containing bounds of input sensors
   :type sensor_bounds: dict
   :param ground_polygon: reference polygon, in ground geometry
   :type ground_polygon: Polygon

   :return: a fitlered version of sensor_inputs