|
| | 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) |
| |