pandora.aggregation.aggregation

This module contains classes and functions associated to the cost volume aggregation step.

Module Contents

Classes

AbstractAggregation

Abstract Aggregation class

class pandora.aggregation.aggregation.AbstractAggregation

Abstract Aggregation class

__metaclass__

aggreg_methods_avail: Dict

cfg

margins

classmethod register_subclass(short_name: str)

Allows to register the subclass with its short name

Parameters:

short_name (string) – the subclass to be registered

abstract desc()

Describes the aggregation method

abstract cost_volume_aggregation(img_left: xarray.Dataset, img_right: xarray.Dataset, cv: xarray.Dataset, **cfg: str | int) → None

Aggregate the cost volume for a pair of images

Parameters:

• img_left –

  left Dataset image containing :

  • im: 2D (row, col) or 3D (band_im, row, col) xarray.DataArray float32

  • disparity (optional): 3D (disp, row, col) xarray.DataArray float32

  • msk (optional): 2D (row, col) xarray.DataArray int16

  • classif (optional): 3D (band_classif, row, col) xarray.DataArray int16

  • segm (optional): 2D (row, col) xarray.DataArray int16

• img_right (xarray.Dataset) –

  right Dataset image containing :

  • im: 2D (row, col) or 3D (band_im, row, col) xarray.DataArray float32

  • disparity (optional): 3D (disp, row, col) xarray.DataArray float32

  • msk (optional): 2D (row, col) xarray.DataArray int16

  • classif (optional): 3D (band_classif, row, col) xarray.DataArray int16

  • segm (optional): 2D (row, col) xarray.DataArray int16

• cv (xarray.Dataset) –

  the cost volume dataset with the data variables:

  • cost_volume 3D xarray.DataArray (row, col, disp)

  • confidence_measure 3D xarray.DataArray (row, col, indicator)

• cfg (dict) – images configuration containing the mask convention : valid_pixels, no_data

Returns:

None