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1548786643 501 20 100644 4020 ` flann.cpp.o xpp__text__TEXTE __StaticInit__TEXTP` __data__DATApP__mod_init_func__DATAH@ __cstring__TEXT. __compact_unwind__LD@`P __eh_frame__TEXT h$  @ ` P UH]@UHSPH=Cr H=]H[]UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H][WARNING] The cvflann::set_distance_type function is deperecated, use cv::flann::GenericIndex instead.[ERROR] cvflann::set_distance_type only provides backwards compatibility for the L1 and L2 distances. For other distance types you must use cv::flann::GenericIndex 5Pp0PzRx $@ AC $D(5AC B$l@AC $8AC $0AC $(AC $  AC $4AC $\AC $AC $AC :4-/ -  mm m mmrfmRFm2 & m  m@80( @ `@ %PGp.0P9lx 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Ox  (r@ ju    6Bsvn QO`+xM9@x!.@+xk,!x.IAkk$  ف\]P Uf/STLk K)8#+))En y րNHHY bD & 3  ] r Rg }Y^m  }uOh> XG<O~ `k v   P'[t P Sr S9:   * Q6# 9SV 1  /;P@ 'E;hC NY }b#Ne p.   %)' ,d{f)'ccr7II#}!  &) "  !!ƁiI ;19mbT`Vu Tr/n ;@@!] f 7;971#$ /-%|6!< R~  1 n f '1V@Vq     V)'G X)'LLq[)ÃssL= )O'C O"qH ,L= I)rH # />M\kzM   * 5@ QIT{IWWi r3yx#& ' ^DI:j s ZÀAyy+)'7)'_|2  4 Dx     }[RR(I0( I3 A?-L"h2,^N `%H% X17hKp P=;9#Ps ~   T{Iss! F!    zz! F!    zz! F!    ss! B!    zz! B!   zz! B!   YY!z SC L Yo   YY!z SC L Yo   YY!z SC L Yo   ??>>>333333?C??>?ؗҜ<>>>??@@??ؗҜ<>>>333333?C?>?ؗҜ<>>>?@@??ؗҜ<>>>333333?C  0C0E0C0E        0C0E0C0E  0C0E0C0E      0C0E0C0E  0C0E0C0E UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]@UH=t]H]ff?__?X???L>>?L??o:?ff??X???L>>?L??o:?ff?algorithmtreesbranchingiterationscenters_inittarget_precisionbuild_weightmemory_weightsample_fractionleaf_sizetable_numbermulti_probe_levelchecksepssortedvirtual void cv::flann::Index::build(cv::InputArray, const cv::flann::IndexParams &, cvflann::flann_distance_t)/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/flann/src/miniflann.cppUnknown/unsupported distance typebuildvirtual void cv::flann::Index::release()releasevirtual void cv::flann::Index::knnSearch(cv::InputArray, cv::OutputArray, cv::OutputArray, int, const cv::flann::SearchParams &)knnSearchvirtual int cv::flann::Index::radiusSearch(cv::InputArray, cv::OutputArray, cv::OutputArray, double, int, const cv::flann::SearchParams &)maxResults > 0radiusSearchLSH index does not support radiusSearch operationvirtual void cv::flann::Index::save(const cv::String &) constwbCan not open file %s for writing FLANN index saverbReading FLANN index error: the saved data size (%d, %d) or type (%d) is different from the passed one (%d, %d), %d Reading FLANN index error: unsupported feature type %d for the index type %d Reading FLANN index error: unsupported distance type %d Invalid index file, cannot readFLANN_INDEXInvalid index file, wrong signature/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/flann/include/opencv2/flann/general.hallocator::allocate(size_t n) 'n' exceeds maximum supported sizetype=%d buildIndex_Only continuous arrays are supportedI can only search one feature at a time for range search Missing parameter '' in the parameters givenDatatype of saved index is different than of the one to be created.The index saved belongs to a different datasetUnknown index typeUnknown algorithm for choosing initial centers.Branching factor must be at least 2Failed to allocate memory. Cannot read from fileInvalid key_size (=%d). Valid values for your system are %d <= key_size < %d.initialize/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/flann/include/opencv2/flann/lsh_table.hdimleaf_max_sizereorderIt doesn't make any sense to use more than one tree for exact searchBuilding kmeans tree... Building kdtree tree... ---------------------------------------------------- Autotuned parameters: %sSearch parameters: Entering autotuning, dataset size: %d, sampleSize: %d, testSampleSize: %d, target precision: %g Choosing linear, dataset too small Computing ground truth... Autotuning parameters... 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