`cars.pipelines.default.default_pipeline`

CARS default pipeline class file

Module Contents

DefaultPipeline

class cars.pipelines.default.default_pipeline.DefaultPipeline(conf, config_json_dir=None)[source]

DefaultPipeline

quit_on_app(app_name)[source]

Returns whether the pipeline should end after the application was called.

Only works if the output_level is empty, so that the control is instead given to

infer_conditions_from_applications(conf)[source]: Fills the condition booleans used later in the pipeline by going through the applications and infering which application we should end the pipeline on.

static check_inputs(conf, config_json_dir=None)[source]

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

overloaded inputs

Return type

dict

static check_output(conf)[source]

Check the output given

:return overloader output :rtype : dict

check_applications(conf)[source]

Check the given configuration for applications, and generates needed applications for pipeline.

check_applications_with_inputs(inputs_conf, application_conf)[source]

Check for each application the input and output configuration consistency

Parameters

sensor_to_depth_maps()[source]: Creates the depth map from the sensor images given in the input, by following the CARS pipeline’s steps.

rasterize_point_cloud()[source]: Final step of the pipeline: rasterize the point cloud created in the prior steps.

preprocess_depth_maps()[source]: Adds multiple processing steps to the depth maps : Merging, denoising. Creates the point cloud that will be rasterized in the last step of the pipeline.

load_input_depth_maps()[source]: Loads all the data and creates all the variables used later when processing a depth map, as if it was just computed.

final_cleanup()[source]: Clean temporary files and directory at the end of cars processing