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compute_overlap.py File Reference

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Namespaces

 compute_overlap
 

Variables

 compute_overlap.compute_density
 
int compute_overlap.debug_I = 1
 
int compute_overlap.debug_J = 0
 
bool compute_overlap.debug_mode = False
 
 compute_overlap.DP = PM.DataPoints
 
 compute_overlap.file_info_list = PMIO.FileInfoVector("../data/carCloudList.csv", "../data/")
 
 compute_overlap.final_inlier_self = self.getDescriptorViewByName("inliers")
 
 compute_overlap.final_inlier_target = target.getDescriptorViewByName("inliers")
 
 compute_overlap.inlier_self = self.getDescriptorViewByName("inliers")
 
 compute_overlap.inlier_target = target.getDescriptorViewByName("inliers")
 
 compute_overlap.inliers_read = np.zeros((1, reading.features.shape[1]))
 
 compute_overlap.inliers_ref = np.zeros((1, reference.features.shape[1]))
 
int compute_overlap.knn = 20
 
int compute_overlap.knn_all = 50
 
 compute_overlap.list_size_I = len(file_info_list)
 
 compute_overlap.list_size_J = len(file_info_list)
 
 compute_overlap.matcher_self = PM.get().MatcherRegistrar.create("KDTreeMatcher", params)
 
 compute_overlap.matcher_target = PM.get().MatcherRegistrar.create("KDTreeVarDistMatcher", params)
 
 compute_overlap.Matches = PM.Matches
 
 compute_overlap.max_density = PM.get().DataPointsFilterRegistrar.create("MaxDensityDataPointsFilter")
 
 compute_overlap.max_search_dist = np.sqrt(self_matches.dists.max(axis=0, keepdims=True), order='F')
 
string compute_overlap.output_base_directory = "tests/compute_overlap/"
 
string compute_overlap.output_base_file = "test"
 
 compute_overlap.overlap_results = np.ones((list_size_J, list_size_I), np.float)
 
 compute_overlap.params = pms.Parametrizable.Parameters()
 
 compute_overlap.PM = pm.PointMatcher
 
 compute_overlap.PMIO = pm.PointMatcherIO
 
 compute_overlap.reading = DP.load(file_info_list[i].readingFileName)
 
 compute_overlap.reference = DP.load(file_info_list[j].readingFileName)
 
 compute_overlap.rigid_trans = PM.get().TransformationRegistrar.create("RigidTransformation")
 
 compute_overlap.self = reading
 
 compute_overlap.self_matches = Matches(knn, self_pts_count)
 
 compute_overlap.self_pts_count = self.features.shape[1]
 
 compute_overlap.self_ratio = np.count_nonzero(final_inlier_self) / final_inlier_self.shape[1]
 
int compute_overlap.starting_I = 0
 
int compute_overlap.starting_J = i + 1
 
 compute_overlap.sub_sample
 
 compute_overlap.target = reference
 
 compute_overlap.target_matches = Matches(knn_all, target_pts_count)
 
 compute_overlap.target_pts_count = target.features.shape[1]
 
 compute_overlap.target_ratio = np.count_nonzero(final_inlier_target) / final_inlier_target.shape[1]
 
 compute_overlap.transformations = PM.Transformations()
 
 compute_overlap.Tread = np.identity(4)
 
 compute_overlap.Tref = np.identity(4)
 


libpointmatcher
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autogenerated on Mon Sep 16 2024 02:24:10