cars.applications.dense_matching.dense_matching
this module contains the abstract matching application class.
Module Contents
Classes
AbstractDenseMatching |
- class cars.applications.dense_matching.dense_matching.DenseMatching(conf=None)
Bases:
cars.applications.application_template.ApplicationTemplate
AbstractDenseMatching
- available_applications: Dict
- default_application = 'census_sgm'
- classmethod __init_subclass__(short_name, **kwargs)
- abstract get_optimal_tile_size(disp_range_grid, max_ram_per_worker)
Get the optimal tile size to use during dense matching.
- Parameters
disp_range_grid – minimum and maximum disparity grid
max_ram_per_worker – maximum ram per worker
- Returns
optimal tile size
- abstract get_margins_fun(grid_left, disp_min_grid, disp_max_grid)
Get Margins function that generates margins needed by matching method, to use during resampling
- Parameters
grid_left – left epipolar grid
disp_min_grid – minimum disparity grid
disp_max_grid – maximum disparity grid
- Returns
function that generates margin for given roi
- abstract generate_disparity_grids(sensor_image_right, grid_right, geometry_plugin_with_dem_min, geometry_plugin_with_dem_max, geom_plugin_with_dem_and_geoid, dmin=None, dmax=None, altitude_delta_min=None, altitude_delta_max=None, dem_min=None, dem_max=None, pair_folder=None)
Generate disparity grids min and max, with given step
global mode: uses dmin and dmax local mode: uses dems
- Parameters
sensor_image_right (dict) – sensor image
grid_right (CarsDataset) – right epipolar grid
geometry_plugin_with_dem_min (GeometryPlugin) – geometry plugin with dem min
geometry_plugin_with_dem_max (GeometryPlugin) – geometry plugin with dem max
geom_plugin_with_dem_and_geoid (GeometryPlugin) – geometry plugin with dem mean used to generate epipolar grids
dmin (float) – minimum disparity
dmax (float) – maximum disparity
altitude_delta_max (int) – Delta max of altitude
altitude_delta_min (int) – Delta min of altitude
dem_min (str) – path to minimum dem
dem_max (str) – path to maximum dem
pair_folder (str) – folder used for current pair
:return disparity grid range, containing grid min and max :rtype: CarsDataset
- abstract run(epipolar_images_left, epipolar_images_right, local_tile_optimal_size_fun, orchestrator=None, pair_folder=None, pair_key='PAIR_0', disp_range_grid=None, compute_disparity_masks=False, disp_to_alt_ratio=None)
Run Matching application.
Create CarsDataset filled with xarray.Dataset, corresponding to epipolar disparities, on the same geometry than epipolar_images_left.
- Parameters
epipolar_images_left (CarsDataset) –
tiled left epipolar CarsDataset contains:
N x M Delayed tiles. Each tile will be a future xarray Dataset containing:
data with keys : “im”, “msk”, “color”
attrs with keys: “margins” with “disp_min” and “disp_max” “transform”, “crs”, “valid_pixels”, “no_data_mask”, “no_data_img”
- attributes containing:
”largest_epipolar_region”,”opt_epipolar_tile_size”
epipolar_images_right (CarsDataset) –
tiled right epipolar CarsDataset contains:
N x M Delayed tiles. Each tile will be a future xarray Dataset containing:
data with keys : “im”, “msk”, “color”
- attrs with keys: “margins” with “disp_min” and “disp_max”
”transform”, “crs”, “valid_pixels”, “no_data_mask”, “no_data_img”
- attributes containing:
”largest_epipolar_region”,”opt_epipolar_tile_size”
local_tile_optimal_size_fun (func) – function to compute local optimal tile size
orchestrator – orchestrator used
pair_folder (str) – folder used for current pair
pair_key (str) – pair id
disp_range_grid (CarsDataset) – minimum and maximum disparity grid
disp_to_alt_ratio (float) – disp to alti ratio used for performance map
- Returns
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”,
”disp_min_tiling”, “disp_max_tiling”
- Return type