cars.pipelines.sensor_to_dense_dsm.sensor_to_dense_dsm_pipeline

CARS sensors_to_dense_dsm pipeline class file

Module Contents

Classes

SensorToDenseDsmPipeline

SensorToDenseDsmPipeline

class cars.pipelines.sensor_to_dense_dsm.sensor_to_dense_dsm_pipeline.SensorToDenseDsmPipeline(conf, config_json_dir=None)

Bases: cars.pipelines.pipeline_template.PipelineTemplate

SensorToDenseDsmPipeline

check_inputs(conf, config_json_dir=None)

Check the inputs given

Parameters

• conf (dict) – configuration of inputs

• config_json_dir (str) – directory of used json, if user filled paths with relative paths

Returns

overloader inputs

Return type

dict

check_output(conf)

Check the output given

Parameters

conf (dict) – configuration of output

:return overloader output :rtype : dict

check_applications(conf, generate_terrain_products)

Check the given configuration for applications

Parameters

• conf (dict) – configuration of applications

• generate_terrain_products (bool) – true if uses point cloud fusion, pc removing, rasterization

check_inputs_with_applications(inputs_conf, application_conf)

Check for each application the input configuration consistency

Parameters

• inputs_conf (dict) – inputs checked configuration

• application_conf (dict) – application checked configuration

run()

Run pipeline

update_conf(grid_correction_coef, dmin, dmax, pair_key)

Update the conf with grid correction and disparity range :param grid_correction_coef: grid correction coefficient :type grid_correction_coef: list :param dmin: disparity range minimum :type dmin: float :param dmax: disparity range maximum :type dmax: float :param pair_key: name of the inputs key pair :type pair_key: str