`cars.applications.dense_matches_filling.zero_padding`

this module contains the fill_disp application class.

Module Contents

Classes

ZerosPadding

Fill invalid area in disparity map with zeros values

Functions

fill_disparity_zeros_wrapper(disp, window, overlap, ...)

Wrapper to copy previous disparity

class cars.applications.dense_matches_filling.zero_padding.ZerosPadding(conf=None)

Bases: cars.applications.dense_matches_filling.dense_matches_filling.DenseMatchesFilling

Fill invalid area in disparity map with zeros values

check_conf(conf)

Check configuration

Parameters: conf (dict) – configuration to check
Returns: overloaded configuration
Return type: dict

get_poly_margin()

Get the margin used for polygon

Returns: self.nb_pix
Return type: int

run(epipolar_disparity_map, orchestrator=None, pair_folder=None, pair_key='PAIR_0')

Run Refill application using zero_padding method.

Parameters

epipolar_disparity_map (CarsDataset) – left to right disparity
orchestrator – orchestrator used
pair_folder (str) – folder used for current pair
pair_key (str) – pair id

Returns

filled disparity map: The CarsDataset contains:

N x M Delayed tiles. Each tile will be a future xarray Dataset containing:
- data with keys : “disp”, “disp_msk”
- attrs with keys: profile, window, overlaps
attributes containing:

”largest_epipolar_region”,”opt_epipolar_tile_size”,
”epipolar_regions_grid”

Return type

CarsDataset

cars.applications.dense_matches_filling.zero_padding.fill_disparity_zeros_wrapper(disp, window, overlap, classif_index, saving_info=None)