build_map.py File Reference

Go to the source code of this file.

Namespaces
	build_map

Variables
	build_map.density_filter = PM.get().DataPointsFilterRegistrar.create("SurfaceNormalDataPointsFilter", params)
	build_map.DP = PM.DataPoints
	build_map.end
	build_map.file_info_list = PMIO.FileInfoVector("../data/carCloudList.csv", "../data/")
	build_map.last_cloud = DP()
	build_map.map_cloud = DP()
	build_map.new_cloud = DP()
	build_map.normal_filter = PM.get().DataPointsFilterRegistrar.create("SurfaceNormalDataPointsFilter", params)
	build_map.observation_direction_filter = PM.get().DataPointsFilterRegistrar.create("ObservationDirectionDataPointsFilter")
	build_map.orien_normal_filter = PM.get().DataPointsFilterRegistrar.create("OrientNormalsDataPointsFilter", params)
string	build_map.output_base_directory = "tests/build_map/"
string	build_map.output_file_name = "test.vtk"
	build_map.params = pms.Parametrizable.Parameters()
	build_map.PM = pm.PointMatcher
	build_map.PMIO = pm.PointMatcherIO
int	build_map.prob_to_keep = total_point_count / map_cloud.features.shape[1]
	build_map.rand_subsample = PM.get().DataPointsFilterRegistrar.create("RandomSamplingDataPointsFilter", params)
	build_map.remove_scanner = PM.get().DataPointsFilterRegistrar.create("MinDistDataPointsFilter", params)
	build_map.shadow_filter = PM.get().DataPointsFilterRegistrar.create("ShadowDataPointsFilter")
	build_map.T = np.identity(4)
int	build_map.total_point_count = 30000
	build_map.transformation = PM.get().TransformationRegistrar.create("RigidTransformation")
	build_map.uniform_subsample = PM.get().DataPointsFilterRegistrar.create("MaxDensityDataPointsFilter", params)