cars.applications.auxiliary_filling.auxiliary_filling_tools

this module contains the AuxiliaryFillingFromSensors application class.

Module Contents

Functions

fill_auxiliary(sensor_inputs, pairing, longitudes, ...)

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

fill_from_one_sensor(sensor, filled_color, ...[, ...])

Compute color and classification contribution for a list of points

compute_sensor_bounds(sensor_inputs, geom_plugin, ...)

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

filter_sensor_inputs(sensor_inputs, sensor_bounds, ...)

Filter input sensors by comparing their bounds to a reference Polygon
cars.applications.auxiliary_filling.auxiliary_filling_tools.fill_auxiliary(sensor_inputs, pairing, longitudes, latitudes, altitudes, geom_plugin, number_of_color_bands, number_of_classification_bands, color_interpolator, use_mask=False)[source]

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

Parameters

  • sensor_inputs (dict) – dictionary containing paths to input images and models

  • pairing (list) – pairing between input images

  • longitudes (list) – list containing longitudes coordinates

  • latitudes (list) – list containing latitudes coordinates

  • altitudes (list) – list containing altitudes coordinates

  • geom_plugin (AbstractGeometry) – geometry plugin used for inverse locations

  • number_of_color_bands (int) – number of bands in the color image

  • number_of_classification_bands (int) – number of bands in the color image

  • color_interpolator (str) – scipy interpolator use to interpolate color values

  • use_mask (bool) – use mask information from sensors in color computation

cars.applications.auxiliary_filling.auxiliary_filling_tools.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)[source]

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

Parameters

  • sensor (dict) – dictionary containing paths to input images and model

  • filled_color (numpy.ndarray) – array containing (non normalized) color information

  • filled_classif (numpy.array) – array containing classification information

  • weights (numpy.array) – array containing weight for normalization

  • longitudes (list) – list containing longitudes coordinates

  • latitudes (list) – list containing latitudes coordinates

  • altitudes (list) – list containing altitudes coordinates

  • geom_plugin (AbstractGeometry) – geometry plugin used for inverse locations

  • number_of_color_bands (int) – number of bands in the color image

  • number_of_classification_bands (int) – number of bands in the color image

  • color_interpolator (str) – scipy interpolator use to interpolate color values

  • not_interpolated_mask (numpy.array) – use mask information in color computation

  • use_mask (bool) – use mask information in color computation

  • return_all_points (bool) – compute interpolated values for all points

cars.applications.auxiliary_filling.auxiliary_filling_tools.compute_sensor_bounds(sensor_inputs, geom_plugin, output_epsg)[source]

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

Parameters

  • sensor_inputs (dict) – dictionary containing paths to input images and models

  • geom_plugin (AbstractGeometry) – geometry plugin used for inverse locations

  • geom_plugin – geometry plugin used for inverse locations

  • output_epsg (int) – epsg of the output polygons

Returns

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

cars.applications.auxiliary_filling.auxiliary_filling_tools.filter_sensor_inputs(sensor_inputs, sensor_bounds, ground_polygon)[source]

Filter input sensors by comparing their bounds to a reference Polygon

Parameters

  • sensor_inputs (dict) – dictionary containing paths to input images and models

  • sensor_bounds (dict) – dictionary containing bounds of input sensors

  • ground_polygon (Polygon) – reference polygon, in ground geometry

Returns

a fitlered version of sensor_inputs