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£üÿATU‰ðSH‰Õ1ÒH÷7H‹GL$ÐI‹$H…Àt;0t	ë;90u4H‹@H…Àuó¿‰óè£üÿH…Àt%H‰hI‹$‰H‰PI‰$1À[]A\ÐH‰h1À[]A\øÿÿÿÿëèf.„@‰ð1ÒH÷7H‹GH‹ÐÃHƒìHƒÄÃ[empty_any]N2cv6StringEN7cvflann17flann_algorithm_tEN7cvflann20flann_centers_init_tEN7cvflann7anyimpl15base_any_policyEN7cvflann7anyimpl21typed_base_any_policyINS_20flann_centers_init_tEEEN7cvflann7anyimpl14big_any_policyINS_20flann_centers_init_tEEEN7cvflann7anyimpl21typed_base_any_policyINS_17flann_algorithm_tEEEN7cvflann7anyimpl14big_any_policyINS_17flann_algorithm_tEEEN7cvflann7anyimpl21typed_base_any_policyIN2cv6StringEEEN7cvflann7anyimpl14big_any_policyIN2cv6StringEEEN7cvflann7anyimpl21typed_base_any_policyINS0_9empty_anyEEEN7cvflann7anyimpl14big_any_policyINS0_9empty_anyEEEN7cvflann7anyimpl9empty_anyEN7cvflann7anyimpl21typed_base_any_policyIPKcEEN7cvflann7anyimpl16small_any_policyIPKcEEN7cvflann7anyimpl21typed_base_any_policyIiEEN7cvflann7anyimpl16small_any_policyIiEEN7cvflann7anyimpl21typed_base_any_policyIfEEN7cvflann7anyimpl16small_any_policyIfEEN7cvflann7anyimpl21typed_base_any_policyIbEEN7cvflann7anyimpl16small_any_policyIbEEN7cvflann7anyimpl21typed_base_any_policyIjEEN7cvflann7anyimpl16small_any_policyIjEEø_ Bà?ð?@ÿBð?ð?ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ@ÿBÿB€@ÿBÿB ,Ž?
-- Pose to Model Index %d: NumVotes = %d, Residual = %f
wbrbvector::_M_default_appendN2cv6detail8PtrOwnerEN2cv12ppf_match_3d6Pose3DEN2cv6detail12PtrOwnerImplINS_12ppf_match_3d6Pose3DENS_14DefaultDeleterIS3_EEEEð¿@€>-DTû!	@basic_string::_M_construct null not validLSH is not implemented for that type/home/dburd/build/opencv/modules/flann/include/opencv2/flann/general.hCannot read from file : Failed to allocate memory.
Error opening output file: plyformat ascii 1.0element vertex property float xproperty float yproperty float zend_headerproperty float nxproperty float nyproperty float nz/home/dburd/build/opencv_contrib/modules/surface_matching/src/ppf_helpers.cppproperty uchar redproperty uchar greenproperty uchar blue 127 127 127 255 0 0queries.type() == CvType<ElementType>::type()/home/dburd/build/opencv/modules/flann/include/opencv2/flann.hppdists.type() == CvType<DistanceType>::type()[WARNING] You are using cv::flann::Index (or cv::flann::GenericIndex) and have also changed the distance using cvflann::set_distance_type. This is no longer working as expected (cv::flann::Index always uses L2). You should create the index templated on the distance, for example for L1 distance use: GenericIndex< L1<float> > queries.isContinuous()indices.type() == CV_32Sindices.isContinuous()dists.isContinuous()Error opening input file: basic_string::substrelementvertexpropertynormal_xalphaformatascii%s: __pos (which is %zu) > this->size() (which is %zu)Cannot read file, only ascii ply format is currently supported...checksepssortedalgorithm' in the parameters givenMissing parameter 'I can only search one feature at a time for range search
branchingiterationscenters_initUnknown algorithm for choosing initial centers.treesleaf_sizedimleaf_max_sizereordertarget_precisionbuild_weightmemory_weightsample_fractiontable_numberkey_sizemulti_probe_levelUnknown index typeFLANN_INDEXInvalid index file, cannot readInvalid index file, wrong signatureDatatype of saved index is different than of the one to be created.The index saved belongs to a different datasetdataset.type() == CvType<ElementType>::type()dataset.isContinuous()filenamePC should have 3 or 6 elements in its columnscb_indexBuilding kmeans tree...
Building kdtree tree...
matches.cols=%d, nn=%d
Ground truth is not computed for as many neighbors as requested%8d %10.4g %10.5g %10.5g %10.5g
  Nodes  Precision(%)   Time(s)   Time/vec(ms)  Mean dist
---------------------------------------------------------
No need for linear estimation
Got as close as I can
Start linear estimation
Computing ground truth
Estimating number of checks
Optimum cb_index: %g
KMeans algorithm, estimating cluster border factor
Required number of checks: %d 
vector::reserveIt doesn't make any sense to use more than one tree for exact searchKD-TREE, Step 1: Exploring parameter space
KDTree using params: trees=%d
KDTree buildTime=%g, searchTime=%g
Branching factor must be at least 2KMEANS, Step 1: Exploring parameter space
KMeansTree using params: max_iterations=%d, branching=%d
KMeansTree buildTime=%g, searchTime=%g, build_weight=%g
Entering autotuning, dataset size: %d, sampleSize: %d, testSampleSize: %d, target precision: %g
Choosing linear, dataset too small
Computing ground truth... 
Autotuning parameters...
----------------------------------------------------
Autotuned parameters:
%sSearch parameters:
computeNormalsPC3dknnSearchGenericIndexwritePLYVisibleNormalswritePLYloadPLYSimpleN7cvflann11KDTreeIndexINS_2L2IfEEE4NodeEPN7cvflann11KDTreeIndexINS_2L2IfEEE4NodeEPPN7cvflann11KDTreeIndexINS_2L2IfEEE4NodeEN7cvflann21RadiusUniqueResultSetIfEEN7cvflann18KNNSimpleResultSetIfEEN7cvflann11KMeansIndexINS_2L2IfEEE22KMeansDistanceComputerEN7cvflann7anyimpl21typed_base_any_policyIPPNS_11KDTreeIndexINS_2L2IfEEE4NodeEEEN7cvflann7anyimpl16small_any_policyIPPNS_11KDTreeIndexINS_2L2IfEEE4NodeEEEN7cvflann12KNNResultSetIfEEN7cvflann14FLANNExceptionEN7cvflann7NNIndexINS_2L2IfEEEEN7cvflann5IndexINS_2L2IfEEEEN7cvflann9ResultSetIfEEN7cvflann15UniqueResultSetIfEEN7cvflann18KNNUniqueResultSetIfEEN7cvflann7anyimpl12bad_any_castEN7cvflann11LinearIndexINS_2L2IfEEEEN7cvflann17KDTreeSingleIndexINS_2L2IfEEEEN7cvflann11KDTreeIndexINS_2L2IfEEEEN7cvflann11KMeansIndexINS_2L2IfEEEEN7cvflann14CompositeIndexINS_2L2IfEEEEN7cvflann14AutotunedIndexINS_2L2IfEEEEN7cvflann27HierarchicalClusteringIndexINS_2L2IfEEEEN7cvflann8LshIndexINS_2L2IfEEEEff¦?0€@€¿Xÿ??€?oƒ:ÍÌL>€_>¼‰ؗ²Ҝ<ñh㈵øä>š™™™™™É?@@0C333333ó?àC@ÿB
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 @€!a.empty() && !b.empty()/home/dburd/build/opencv_contrib/modules/surface_matching/src/ppf_match_3d.cppPC.type() == CV_32F || PC.type() == CV_32FC1The model is not trained. Cannot match without trainingpc.type() == CV_32F || pc.type() == CV_32FC1relativeSceneSampleStep<=1 && relativeSceneSampleStep>0matchmatchpose3DPtrComparesortPoseClusterstrainModelN2cv12ppf_match_3d13PoseCluster3DEN2cv12ppf_match_3d13PPF3DDetectorEN2cv6detail12PtrOwnerImplINS_12ppf_match_3d13PoseCluster3DENS_14DefaultDeleterIS3_EEEE€v@€f@Õë{óéÎÊ?-DTû!@-DTû!)@@ÿB
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