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428 ` bgfg_gaussmix2.cpp.o/ optical_flow_io.cpp.o/ tracker_feature.cpp.o/ tracker_feature_set.cpp.o/ tracker_mil_model.cpp.o/ tracker_mil_state.cpp.o/ tracker_model.cpp.o/ tracker_sampler.cpp.o/ tracker_sampler_algorithm.cpp.o/ tracker_state_estimator.cpp.o/ tracking_feature.cpp.o/ tracking_online_mil.cpp.o/ tracker_dasiamrpn.cpp.o/ tracker_goturn.cpp.o/ tracker_mil.cpp.o/ variational_refinement.cpp.o/ opencl_kernels_video.cpp.o/ bgfg_KNN.cpp.o/ 0 0 0 644 69088 ` ELF> █@@╦╩789:;<=>?@ABCDEFGHIJKLMNOPQRST`aWXYZ\]def^_hij~АПРСЧШЩЪЫЬЭЮЯабвгдежзийклмноп░▒▓│┤╝└┴┬├є·├є·├є·├є·1└├є·ЛG├є·Йw├є·ЛG ├є·Йw ├є·ЛG$├є·Йw$├є·fя└єZG├є·ЄZ└єG├є·╢G(├є·╢G)├є·@Иw)├є·fя└єZG,├є·ЄZ└єG,├є·├є·щє·щє·HНHЙщє·HНUHЙ¤HЙшHЙя]щє·H;5ATLНgt%HЛ~HЛ5H9ўtА?*tшЕ└╕LEрLЙрA\├fРE1фLЙрA\├є·HНUHЙ¤HЙHЛ┐xHНЕИH9╟tшHН╜pшHН╜hшHН╜шHН╜╚шHН╜xшHН╜(шHН╜╪шHН╜ИшHН╜8шHН╜шшHН╜АшHН╜ шHН╜└шHН╜`шHН╜шHН╜ашHН}@шHНHЙяHЙE]щname(String)fn["name"] == 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HЕЎДАI)ьLЙ$$IГ№wDHЛ;IГ№u3╢EИLЛ$$HЛ;LЙcB╞'HЛD$dH+%(uPHГ─[]A\├@MЕфt╒ыРHЙ▀HЙц1╥шHЙHЙ╟HЛ$HЙCLЙтHЙюшLЛ$$HЛ;ыгHН=шшє·UHНHНoSHЙ√HГьHЙGHЛ┐ИHНГШH9╟tшHН╗АшHН╗xшHН╗(шHН╗╪шHН╗ИшHН╗8шHН╗шшHН╗ШшHН╗HшHН╗°шHН╗РшHН╗0шHН╗╨шHН╗pшHН╗шHН╗░шHН{PшHНHЙяHЙCHГ─[]щє·HНUHЙ¤HЙHЛ┐xHНЕИH9╟tшHН╜pшHН╜hшHН╜шHН╜╚шHН╜xшHН╜(шHН╜╪шHН╜ИшHН╜8шHН╜шшHН╜АшHН╜ шHН╜└шHН╜`шHН╜шHН╜ашHН}@шHНHЙяHЙEшHЙя]щNo element name has been given./modules/core/include/opencv2/core/persistence.hppoperator<<є·AVAUIЙїATIЙ№USHГь@dHЛ%(HЙD$81└HНl$HН\$ шHНHЙяHЙ\$HНr№шHЙюLЙяшHЛ|$IЙ┼H9▀tшLЙяIН┤$xшHНHЙяHЙ\$IЙ┼HНr∙шHЙюLЙяшHЛ|$IЙ┼H9▀tшIЛELЙя PД└t'AГ}ДAЛT$IНuLЙяшAЎEЕйHНHЙяHЙ\$HНr°шHЙюLЙяшHЛ|$IЙ┼H9▀tшIЛELЙя PД└t'AГ}ДAЛT$ IНuLЙяшAЎEЕOHНHЙяHЙ\$HНr№шHЙюLЙяшHЛ|$IЙ┼H9▀tшIЛELЙя PД└t'AГ}Д═AЛT$$IНuLЙяшAЎEЕїHНHЙяHЙ\$HНrЄшHЙюLЙяшHЛ|$IЙ┼H9▀tшIЛELЙя PД└t)AГ}ДєAD$IНuLЙяшAЎEЕЩHНHЙяHЙ\$HНrєшHЙюLЙяшHЛ|$IЙ┼H9▀tшIЛEE╢t$(LЙя PД└t&AГ}Д╝A╢╓IНuLЙяшAЎEЕ:HНHЙяHЙ\$HНrїшHЙюLЙяшHЛ|$IЙ┼H9▀tшIЛEE╢t$)LЙя PД└t&AГ}Д╖A╢╓IНuLЙяшAЎEЕ█HНHЙяHЙ\$HНrёшHЙюLЙяшHЛ|$IЙ┼H9▀tшIЛELЙя 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HЛ|$Pшы┐шє·HЙ┼ы є·HЙ┼ы HЛ|$HшГ|$xt HЛ|$PшHЙяш Lет■┘ЙframeType == CV_8UC1 || frameType == CV_8UC3 || frameType == CV_32FC1 || frameType == CV_32FC3getBackgroundImageHГшu+шшщHЛ|$HНD$ H9╟tшHЙяшшє·ATIЙЇUHЙ¤HГьHdHЛ%(HЙD$8ЛGЙ┬Гтяt Г·Е%А╜╪uuГ°Дз:Е└ДтГ°Е╣HЛD$8dH+%(ЕчHГ─HLЙцHЙя]A\щГ°ЕЗHЛD$8dH+%(Е╡HГ─HLЙцHЙя]A\щРшД└tА╜╪tLЙцHЙяшД└u?АЛE╞Е╪Г°ЕY HЛD$8dH+%(uWHГ─HLЙцHЙя]A\щHЛD$8dH+%(u2HГ─H]A\├ДHЛD$8dH+%(uHГ─HLЙцHЙя]A\щшHНl$HНT$HН5HЙяшA╕бHЙю┐) HН HНшє·HЙ╟HЙ╨щє·HЙ┼щ Ыx7░СИhМа Ы , St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt19_Sp_make_shared_tagSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN2cv20BackgroundSubtractorEN2cv24BackgroundSubtractorMOG2EN2cv28BackgroundSubtractorMOG2ImplEN2cv11MOG2InvokerESt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEvoid cv::BackgroundSubtractorMOG2Impl::getBackgroundImage_intern(cv::OutputArray) const [with T = float; int CN = 3; cv::OutputArray = const cv::_OutputArray&]void cv::BackgroundSubtractorMOG2Impl::getBackgroundImage_intern(cv::OutputArray) const [with T = float; int CN = 1; cv::OutputArray = const cv::_OutputArray&]void cv::BackgroundSubtractorMOG2Impl::getBackgroundImage_intern(cv::OutputArray) const [with T = unsigned char; int CN = 3; cv::OutputArray = const cv::_OutputArray&]void cv::BackgroundSubtractorMOG2Impl::getBackgroundImage_intern(cv::OutputArray) const [with T = unsigned char; int CN = 1; cv::OutputArray = const cv::_OutputArray&]virtual void cv::BackgroundSubtractorMOG2Impl::apply(cv::InputArray, cv::OutputArray, double)wwwwOА?4Ё?Ё>0@А АGNU└zRxР0DXlАФи╝╨ф ° 4H\pДШм└╘ш№$8L ` tИ LЖOдIMМp CH─ШLЖЗzPLRxЫРH$╢FОIНB МD(ЖA0ГGА` 0A(A BBBA0L└BМDЖD ГG0^ AABEPдБ FПBОB НB(МD0ЖA8ГGаЬ 8A0A(B BBBA$╘кEЖLГG ЛAA№аLЖПD<╒ FОBНE МD(ЖA0ГDp╡ 0A(A BBBEHДEЖN DПОIНIМGГb.X.k.Q.k.P.g.P.О A ╨ГЖМНОП,Ї▄FМOЖGPл ABA$PЖМL@FПBОB НB(МA0ЖA8ГDащ 8A0A(B BBBKXР+EЖC DПОGНМDГИ.V.o.U.o.V.o.U.o.T.k.T.у I ьAГЖМНОПP╪FПBОB НE(МA0ЖK8ГJ└╡ 8A0A(B BBBD dp└ГЖМНОП,И╓FМAЖD`J ABHP╕,FПFОF 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ї"бхv#бшў#быx$бюЕ_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPKcEEvT_S8_St20forward_iterator_tag.isra.0_ZNK2cv28BackgroundSubtractorMOG2Impl22ocl_getBackgroundImageERKNS_12_OutputArrayE.cold_ZN2cv28BackgroundSubtractorMOG2Impl23create_ocl_apply_kernelEv.cold_ZN2cv28BackgroundSubtractorMOG2Impl9ocl_applyERKNS_11_InputArrayERKNS_12_OutputArrayEd.cold_ZZN2cv28BackgroundSubtractorMOG2Impl5applyERKNS_11_InputArrayERKNS_12_OutputArrayEdE25__cv_trace_location_fn847_ZN2cv28BackgroundSubtractorMOG2Impl5applyERKNS_11_InputArrayERKNS_12_OutputArrayEd.cold_ZN2cv30createBackgroundSubtractorMOG2Eidb.cold_ZNK2cv28BackgroundSubtractorMOG2Impl18getBackgroundImageERKNS_12_OutputArrayE.cold_ZZN2cv28BackgroundSubtractorMOG2Impl5applyERKNS_11_InputArrayERKNS_12_OutputArrayEdE31__cv_trace_location_extra_fn847.LC17.LC21.LC0.LC1.LC2.LC3.LC4.LC5.LC6.LC7.LC8.LC9.LC10.LC11.LC12.LC13.LC14.LC15.LC16.LC18.LC19.LC22.LC23.LC24.LC25.LC26.LC28.LC30.LC29.LC31.LC35.LC36.LC33.LC34.LC39.LC37.LC38.LC42.LC41.LC44.LC45.LC46.LC48.LC50.LC51_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED5Ev_ZN2cv11MOG2InvokerD5Ev_ZN2cv28BackgroundSubtractorMOG2ImplD5Ev_ZN2cv9Algorithm5clearEv_ZNK2cv9Algorithm5writeERNS_11FileStorageE_ZN2cv9Algorithm4readERKNS_8FileNodeE_ZNK2cv9Algorithm5emptyEv_ZNK2cv28BackgroundSubtractorMOG2Impl10getHistoryEv_ZN2cv28BackgroundSubtractorMOG2Impl10setHistoryEi_ZNK2cv28BackgroundSubtractorMOG2Impl12getNMixturesEv_ZN2cv28BackgroundSubtractorMOG2Impl12setNMixturesEi_ZNK2cv28BackgroundSubtractorMOG2Impl18getBackgroundRatioEv_ZN2cv28BackgroundSubtractorMOG2Impl18setBackgroundRatioEd_ZNK2cv28BackgroundSubtractorMOG2Impl15getVarThresholdEv_ZN2cv28BackgroundSubtractorMOG2Impl15setVarThresholdEd_ZNK2cv28BackgroundSubtractorMOG2Impl18getVarThresholdGenEv_ZN2cv28BackgroundSubtractorMOG2Impl18setVarThresholdGenEd_ZNK2cv28BackgroundSubtractorMOG2Impl10getVarInitEv_ZN2cv28BackgroundSubtractorMOG2Impl10setVarInitEd_ZNK2cv28BackgroundSubtractorMOG2Impl9getVarMinEv_ZN2cv28BackgroundSubtractorMOG2Impl9setVarMinEd_ZNK2cv28BackgroundSubtractorMOG2Impl9getVarMaxEv_ZN2cv28BackgroundSubtractorMOG2Impl9setVarMaxEd_ZNK2cv28BackgroundSubtractorMOG2Impl31getComplexityReductionThresholdEv_ZN2cv28BackgroundSubtractorMOG2Impl31setComplexityReductionThresholdEd_ZNK2cv28BackgroundSubtractorMOG2Impl16getDetectShadowsEv_ZNK2cv28BackgroundSubtractorMOG2Impl14getShadowValueEv_ZN2cv28BackgroundSubtractorMOG2Impl14setShadowValueEi_ZNK2cv28BackgroundSubtractorMOG2Impl18getShadowThresholdEv_ZN2cv28BackgroundSubtractorMOG2Impl18setShadowThresholdEd_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZdlPv_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZN2cv11MOG2InvokerD2Ev_ZTVN2cv11MOG2InvokerE_ZN2cv16ParallelLoopBodyD2Ev_ZN2cv11MOG2InvokerD1Ev_ZN2cv11MOG2InvokerD0Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_GLOBAL_OFFSET_TABLE__ZZNSt19_Sp_make_shared_tag5_S_tiEvE5__tag_ZTSSt19_Sp_make_shared_tagstrcmp_ZN2cv28BackgroundSubtractorMOG2ImplD2Ev_ZTVN2cv28BackgroundSubtractorMOG2ImplE_ZN2cv3ocl6KernelD1Ev_ZN2cv4UMatD1Ev_ZN2cv3MatD1Ev_ZTVN2cv20BackgroundSubtractorE_ZN2cv9AlgorithmD2Ev_ZN2cv28BackgroundSubtractorMOG2ImplD1Ev_ZN2cv28BackgroundSubtractorMOG2Impl4readERKNS_8FileNodeEDW.ref.__gxx_personality_v0_ZNK2cv8FileNodeixEPKc_ZNK2cv8FileNode6stringB5cxx11Ev_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEC1EPKcRKS3__ZN2cv5errorEiRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKcS9_imemcmp_ZNK2cv8FileNodecviEv_ZNK2cv8FileNodecvfEv_ZNK2cv8FileNodecvdEv__stack_chk_fail_Unwind_Resume_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmmmemcpy_ZSt19__throw_logic_errorPKc_ZNK2cv11MOG2InvokerclERKNS_5RangeE_ZN2cv3MatC1ERKS0_RKNS_5RangeES5__ZN2cv3MatC1EiiiPvm_ZNK2cv3Mat9convertToERKNS_12_OutputArrayEidd_ZdaPv_Znam__cxa_throw_bad_array_new_length_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2cv28BackgroundSubtractorMOG2ImplD0Ev_ZNK2cv28BackgroundSubtractorMOG2Impl5writeERNS_11FileStorageE_ZNK2cv9Algorithm11writeFormatERNS_11FileStorageE_ZN2cvlsERNS_11FileStorageERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE_ZN2cv5writeERNS_11FileStorageERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEi_ZN2cv5writeERNS_11FileStorageERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEf_ZN2cv5writeERNS_11FileStorageERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEd_ZNK2cv28BackgroundSubtractorMOG2Impl22ocl_getBackgroundImageERKNS_12_OutputArrayE_ZNK2cv12_OutputArray6createENS_5Size_I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H╟Еа■ LЙ╡Ш■ шLЛ╡8■ LЛ╜0■ M9■tfDLЙ IГ╟`шM9■uяLЛ╜0■ MЕ Дп№ LЙ шD9cНз№ LН╡p 1ЎLЙўшHЛ╜■ fя╔HЛГРHЛ╡°¤ f(┴LН░JЛT80H°HЛ╜■ Л ЛRHЙЕШ■ HНЕp■ H╟Е░■ ЙХp■ HЙ┬ЙНt■ ╣H╟Е└■ LЙ╡╕■ H╟ЕР■ H╟Еа■ HЙЕ■ шHЛЄ╣ H╟Е░■ HЛХ°¤ HЛ╡■ H╟Е└■ HЙЕP■ HЛ╜■ HНЕP■ HЙЕШ■ L╗РH╕LЙ╜╕■ ╟ЕР■ ┴HЙЕа■ H╟Еp■ H╟ЕА■ LЙ╡x■ шLЙўшЛН(■ Е╔ДY√ HЛ╜Ё¤ AГьIГэшD9cОM√ LН╡p 1ЎLН╜p■ LЙўшHЛЕP LЛе°¤ fя╔LЛн■ ╣f(┴ЛЛ@LЙцLЙ╡╕■ H╟Е░■ LЙяЙЕp■ HcCЙХt■ LЙ·H╟Е└■ HНАH╟ЕР■ H┴рHГРH╟Еа■ HЙЕШ■ шЛK╕fя└LЙцHЛХ╪¤ LЙя╟Е░■ ┴╙р╣ LЙ╜╕■ Є*└LЙ╡Ш■ H╕HЙЕ└■ H╟ЕР■ H╟Еа■ ЄЕp■ ЄшLЙўA╝шыDЛХ(■ Е╥Е}E1фHЛ╜ш¤ шHЛ╜р¤ шЛЕ■ Е└Е╠HЛE╚dH+%(ЕQHНe╪DЙр[A\A]A^A_]├@HЛ╡°¤ HН╜░■ ║ шЛ╡░■ HЙ▀шщз° HЛ╜Ё¤ шщr DЙЁfя└EЙюЩAў Є*└шЄЄ^┬ЄD,рщ° HЛ╜╪¤ ╛ шГ°Екў HЛ╜╪¤ ╛ шГ°ФЕ■ щСў HЛ╜╨¤ шщ# LН╡p HНХ░■ HН5LЙўшA╕XHН LЙЎ┐7 HНшLН╡p HНHНEАHНrъLЙўHЙЕp IЙ╟шA╕zHН LЙЎ┐) HНшшє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щ UYw╪ХФан└╬З№т┼фХд╠О}ИУ└ї└╠└эЁХф╢а E!I0.empty() && I0.depth() == CV_8U && I0.channels() == 1!I1.empty() && I1.depth() == CV_8U && I1.channels() == 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Г'В╧(Ч├(к╖(╞л(°ч(їY█(цє(√ы&О√'Яя'╤у'Т╫'╕╬Я(═З(шУ(═Я(Хў&░│'ЧЯ(▄з'ьЫ'ФП'╢╦' ┐'Ъ▀&╚M╦'┘╙&ЇЧ&╓╦'ЫЛ&╣ %Ю ╦'ш є%Г!╗&ц!╦'Ч"г&╧"╦'А#п&№#Э$╟&╣$┌$Ч)ё$Т%г)й%╩%ч% ┼image_jacobian_euclidean_ECCdst.cols == (src1.cols*3)HЛ|$шHЙ▀шHЛ|$шHЛ|$шHЛ<$шHЙяшHЛ╝$└HНД$╨H9╟tшHЙяшHЙ▀HЙышLЙяшHЛ|$шHЙ▀шHЙ▀HЙышы┘HЛ╝$└H9▀tшHЙяшHЛ╝$└HНД$╨H9╟tшHЙяшHЛ|$шHЙ▀HЙышHЛ|$шHЛ<$шщp LЙяшHЙ▀HЙышHЛ|$шHЛ<$шщM HЛ╝$└H9▀tшHЙяшHЛ╝$└H9▀tшHЙяшHЛ╝$└HНД$╨H9╟tшHЙяшHЛ╝$└HНД$╨H9╟tшHЙяшAWAVIЙ╬AUIЙ╒ATUSHБь8HЛV@dHЛ%(HЙД$(1└HЛG@ЛЛ@9 u 9BДмHНм$└HН┤$└1╥H╟Д$└HЙяHНЬ$╨HЙЬ$└шHЛФ$└HЙюfoH┐2.size()HЙД$└A╕ВHН HЙФ$╨HЙx┐) HЛД$└HЛФ$└HЙД$╚╞HНшДIЛU@9Bu9 ДзHНм$└HН┤$└1╥H╟Д$└HЙяHНЬ$╨HЙЬ$└шHЛФ$└HЙюfoH┐3.size()HЙД$└A╕ГHН HЙФ$╨HЙx┐) HЛД$└HЛФ$└HЙД$╚╞HНшIЛV@9 u 9BДдHНм$└HН┤$└1╥H╟Д$└HЙяHНЬ$╨HЙЬ$└шA╕ДHЛФ$└foH╛4.size()HЙД$└┐) HН HЙФ$╨HЙpHЙюHЛД$└HЛФ$└HЙД$╚╞HНшAЛAHЙ¤MЙ╧9GЕЛGЙD$xН@ЙD$|A9AЕйAЛ% Г°Е`Aў@ДIЛ@fя└IЙЇLЙЎЛXєZHНД$`ЄD$hHЙ╟HЙ$шfn╦fя└LЙюHНЬ$аєZ┴ЄD$pHЙ▀HЙ\$шHНД$HЙ▐HЙ╟HЙD$шHНЬ$└HЛ$HЛt$HЙ▀шHНД$рHЙ╟HЙD$шHЛ╝$└HЛT$HЙ▐╣ HЛ PHНД$РHЙ╟HЙD$XшHНД$0HЙ╟HЙD$@шHНД$╨HЙ╟HЙD$(шHНД$╨HЙ╟HЙD$PшHНД$pHЙ╟HЙD$8шHНД$HЙ╟HЙD$ шHН╝$pшHН╝$шHН╝$░шHНД$0HЙ╟HЙD$0шHНД$╨HЙ╟HЙD$`шHНД$pHЙ╟HЙD$HшЄD$pHЛ<$LЙЎшLЛt$ЄD$hLЙюLЙўшHЛ$LЙЎHЙ▀шLНм$@LЙяш╣ LЙъHЙ▐HЛ╝$└HЛ PHЛ|$XLН┤$└шHЛ|$@шHЛ|$(шHЛ|$PшHЛ|$8шHЛ|$ шHЛ|$0шHЛ|$`шHЛ|$HшHЛ<$LЙЄLЙцHЛLЙм$╚H╟Д$└fHn└H╟Д$╨шHЛ HН┤$аHЛD$H╟Д$аHЛ|$HЙЄHЙt$hHЙюfHn┴HЙД$иH╟Д$░шHЛ$HЛt$HЙ▀шH╛А ЛD$xHЛ|$HНМ$ИHЙ┤$АLЙ■HНФ$А╟Д$ИЙД$МшHЛ╝$└HЛT$╣ HЙ▐HЛ PHЛ|$шHЛ|$XшHЛ|$@шHЛ|$(шHЛ|$PшHЛ|$8шHЛ|$ шHЛ|$0шHЛ|$`шHЛ|$HшЛD$xHНФ$РHЙ▀H╛А НHЙ┤$РLЙ■Й$ЙМ$ЬHНМ$ШЙД$ШшA║┬LЙЎHЙяH╟Д$╨LЙФ$└HЙЬ$╚шHЙ▀шЛ$HЛT$hHЙ▀H╛А ЙМ$└ЛL$|HЙ┤$аLЙ■ЙМ$─LЙёшA║┬LЙЎLЙчH╟Д$╨LЙФ$└HЙЬ$╚шHЙ▀шLЙяшHЛ|$шHЛД$(dH+%(uJHБ─8[]A\A]A^A_├HНм$└HН5HЙяшA╕ЖHЙю┐) HН HНшшHНм$└HН5HЙяшA╕КHЙю┐) HН HНшHНм$└HН5HЙяшA╕ИHЙю┐) HН HНшHНм$└HН5HЙяшA╕ЗHЙю┐) HН HНшє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ┼щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ┼щ ╖uу┴▓а═ъ╪Щ╨·щТ╡лй▌Э╤СчЕЎ∙б э╝ сК╒Ы╔р╜¤▒д с╤ НУс└БЦ╖е╙Ї┘Лмх├фї 2х!templateImage.empty()computeECC!inputImage.empty()Both input images must have the same data typeHЛ|$шLЙ шHЙяшHЛ╝$░HНД$└H9╟tшHЙяшLЙчшLЙ шHЛ|$ шHЛ|$HЙ▌шHЛ|$шHЙяшLЙчшы═HЛ╝$░HНД$└H9╟tшHЙяшHЛ╝$░HНД$└H9╟tшHЙяшLЙ шLЙчшщt є·AWAVIЙ╓AUIЙїATIЙ№USHБь(dHЛ%(HЙД$1└шД└ЕQLЙяшД└Е ╛ LЙчш╛ LЙяЙ├ш9├ЕнH╟Д$╚LЙўH╟Д$└H╟Д$╕H╟Д$░H╟Д$шH╟Д$рH╟Д$╪H╟Д$╨шД└ЕЮLЙўHНм$РшЙD$(╛ LЙчLН╝$░шHНМ$░HЙъLЙчЙ├HЙL$0HНД$╨HЙД$ШH╕HЙД$аHЙД$АHНD$pHЙ╞HЙL$xLЙёHЙD$╟Д$Р┬╟D$p┬ш╛ LЙчш║ LЙцHЙяЙD$шЛT$HЙюLЙ шHНД$0HЙ╟HЙD$шHЛ╝$░HЛT$LЙ■╣ HЛ PHНД$АHЙ╟HЙD$8шHНД$ HЙ╟HЙD$@шHНД$└HЙ╟HЙD$HшLЙчш=ЕпHНД$РIЛt$HЙ╟HЙD$шLЙяш=ЕZHНД$ЁIЛuHЙ╟HЙD$ шў├¤ Е╬Г√LНд$P╕Г╪ LЙчЙ├шLЙ шHЛ|$fя╔Й┌HЛHЙюH╟Д$РH╟Д$аfHn└LЙд$ШшHЛ|$LЙцшHЛЙ┌fя╔HЙюHЛ\$ LЙ╝$ШfHn└H╟Д$РH╟Д$аHЙ▀шLЙ■HЙ▀шLЙ шLЙчшHЛD$HН\$PLЙёHЙъHЛt$HЙ▀A╕ H╟Д$РHЙД$ШHЛD$0H╟Д$аHЙD$xH╕HЙД$АHЛD$╟D$p┴H╟D$PH╟D$`HЙD$Xшfя╥fя█ЄМ$╨Є*T$(f(┬ЄT$(ЄY┴ЄY┴f.╪З√ЄQ└ЄD$0╛ LЙяH╟Д$H╟Д$H╟Д$°H╟Д$ЁH╟Д$(H╟Д$ H╟Д$H╟Д$ш║ LЙюHЙяAЙ─шDЙтHЙюLЙ шLНд$PLЙчш╣ LЙтLЙ■HЛ╝$░HЛ PHЛ|$8LН╝$ЁшHЛ|$@шHЛ|$HшHЛt$LЙёHЙъHНД$LЙя╟Д$Р┬HЙД$ШH╕HЙД$а╟D$p┬LЙ|$xHЙД$АшHЛt$LЙёHЙъHЙ▀H╕A╕ H╟Д$РHЙД$АHЛD$ H╟Д$аLЙд$Ш╟D$p┴LЙ|$xH╟D$PH╟D$`HЙD$XшЄМ$ЄD$(fяфЄY┴ЄY┴f.рЗ6ЄQ└ЄD$HЛ\$HЙюH╟Д$РH╟Д$аHЙ▀LЙд$ШшЄL$0ЄYL$LЙчЄ^┴ЄD$шHЛ|$ шHЛ|$шHЙ▀шЄD$HЛД$dH+%(Е╡HБ─([]A\A]A^A_├fДHНм$Р║ LЙцHЙяшЛД$ФпД$РЙD$(щF· HНД$Ё║ LЙюHЙ╟HЙD$ шщЭ√ fDHНД$Р║ LЙцHЙ╟HЙD$шщI√ шЄD$0щ № шЄD$щ─■ шHНм$░HН5HЙяшA╕AHЙю┐3 HН HНшHНм$░HН5HЙяшA╕>HЙю┐) HН HНшHНм$░HН5HЙяшA╕=HЙю┐) HН HНшє·HЙ┼щє·HЙ┼щє·HЙ┼щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ┼щє·HЙ┼щє·HЙ├щє·HЙ├щ c1Ў╘╟Щ*▀╞)ы┌_з╟╨│╜ ў╢ ╪ГУ ╚ ыЁ ▀▒╥ПщКЫб┬╙ о!src.empty()findTransformECC!dst.empty()map.cols == 3map.rows == 2 || map.rows ==3map.rows ==3image_jacobian_affine_ECCdst.cols == (6*src1.cols)dst.cols == (src1.cols*2)map_matrix.type() == CV_32FC1update_warping_matrix_ECCupdate.type() == CV_32FC1update.cols == 1map_matrix.isContinuous()update.isContinuous()Images must have 8uC1 or 32fC1 typewarpMatrix must be single-channel floating-point matrixmotionType == MOTION_AFFINE || motionType == MOTION_HOMOGRAPHY || motionType == MOTION_EUCLIDEAN || motionType == MOTION_TRANSLATIONcriteria.type & TermCriteria::COUNT || criteria.type & TermCriteria::EPSimage_jacobian_translation_ECCThe algorithm stopped before its convergence. The correlation is going to be minimized. Images may be uncorrelated or non-overlappedmap_matrix.rows == 3 && update.rows == 8map_matrix.rows == 2 && update.rows == 6map_matrix.rows == 2 && update.rows == 3map_matrix.rows == 2 && update.rows == 2HЛ╜`■ H;╜ё ЕrHЛ╜8Ё шHЛ╜Ёя шHЛ╜°я шHЛ╜АЁ шHЛ╜@Ё шHЛ╜ИЁ шHЛ╜РЁ шHЛ╜Ё шHЛ╜░Ё шHЛ╜pЁ шHЛ╜xЁ шHЛ╜╚Ё шHЛ╜╨Ё шHЛ╜PЁ шHЛ╜╕Ё шHЛ╜шя шHЛ╜ё шHЛ╜шЁ шHЛ╜└Ё шHЛ╜иЁ шHЛ╜╪Ё шHЛ╜(Ё шHЛ╜0Ё шHЛ╜Ё шHЛ╜HЁ шHЛ╜аЁ шHЛ╜XЁ шHЛ╜`Ё шHЙ▀шHЛ╜`■ HНЕp■ H9╟t┴шы║шщД■ HЛ╜╨Ё шLЙчшщ LЙчшщ^■ HЛ╜╚Ё шLЙчшщ╒■ LЙчшщд■ LЙчшщЧ■ LЙўшLЙчшщ■ LЙчшLЙўшщ■ LЙчшщ LЙчшщ LЙўшы║LЙўшы░LЙўшыжLЙчшщd■ є·UHЙхAWIЙ AVfI~╞AUIЙ╒ATIЙЇSLЙ╦HБь°ЙНё LЙЕ(ё dHЛ%(HЙE╚1└ш=Е├HНЕАЄ IЛwHЙ╟HЙЕ`Ё шLЙчш=ЕnHНЕрЄ IЛt$HЙ╟HЙЕXЁ шLЙяш=ЕРHНЕ@є IЛuHЙ╟HЙЕаЁ шHЛ╜`Ё шД└ЕE/HЛ╜XЁ шД└ЕU.HЛ╜аЁ шД└Д╦E1 ╣║LЙяГ╜ё A╕ AФ╟HГьE1╔jAГ╟DЙ■шAZLЙяA[ш=ЕЕ LНе`■ IЛuLЙчшLЛнаЁ LЙцLЙяшLЙчш╣DЙ■LЙч║шHЛ╜`■ ╣ LЙъLЙцHЛ PHН╜0 шHН╜╨■ шHН╜p■ шЛЕАЄ ЛХрЄ % Бт 9╨ЕЁ,Г°tЕ└Е|,ЛЕ@є % Г°Ее*Г╜Lє Е<.ЛЕHє НP■Г·ЗN-Г╜ё Зп-Г°t Г╜ё Дf-ЎЕ(ё Д&+HЛН(ё ║╚Є5HЙ╚Є╡ШЁ H┴° Ў┴D┬ГсЙЕ$Ё Е┤ЛЕё ╣╛HНDЛ╡МЄ DЛнИЄ ЛВDЙЄЙЕё ЛЕьЄ ЙЕ ё 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LЙцH╟Ерё HЙЕ╪ё H╟Е░ё H╟Е└ё HЙЕ╕ё шLНе`■ ЛХ ё Л╡╚Ё ╣LЙчшHНЕ ° HЙ╟HЙЕ╨Ё шHЛ╜`■ ╣ LЙцHЛХ╨Ё HЛ PHНЕ0 HЙ╟HЙЕЁЁ шHНЕ╨■ HЙ╟HЙЕ°Ё шHНЕp■ HЙ╟HЙЕё шЛХ ё ╣LЙчЛ╡╚Ё шHНЕА° HЙ╟HЙЕ╚Ё шHЛ╜`■ ╣ LЙцHЛХ╚Ё HЛ PHЛ╜ЁЁ шHЛ╜°Ё шHЛ╜ё ш╣DЙЄDЙюHНЕр° HЙ╟HЙЕxЁ шHНЕ@∙ ╣DЙЄDЙюHЙ╟HЙЕpЁ ш╕┐HННpё A╣HЙ▀HЙЕЇё IЙ╚fя└║ HНЕЇё HЛ╡└Ё HЙН ё HЙЕ╪ё H╕HЛН(ё HЙЕрё HЛЕ╨Ё HЙ╡Шё LЙ■╟Е№ё ?H╟Еpё ╟Е╨ё ┴H╟Е░ё H╟Е└ё HЙЕ╕ё H╟ЕРё H╟Еаё шєЕ№ё HЛ╡╚Ё I╗A╣HЛХ└Ё HЛЕЇё HЙ▀H╟Еpё LЛЕ ё HЛН(ё HЙ╡╕ё LЙ■HЙХШё ║ єЕh■ fя└HЙЕ`■ ╟Е╨ё ┴LЙе╪ё LЙЭрё H╟Е░ё H╟Е└ё H╟ЕРё H╟Еаё шHЛХPЁ ЄЕрЁ LЙчH╟Е╨ё HЛ╡╨Ё H╟Ерё HЙХ╪ё HЛХ(ё шHЛ╜`■ HЛХ╨Ё ╣ LЙцHЛ PHЛ╜ЁЁ шHЛ╜°Ё шHЛ╜ё шHЛЕPЁ LЙчЄЕрЁ HЛХ(ё HЛ╡╚Ё H╟Е╨ё H╟Ерё HЙЕ╪ё шHЛ╜`■ HЛХ╚Ё ╣ LЙцHЛ PHЛ╜ЁЁ шHЛ╜°Ё шHЛ╜ё шЛХё ╣DЙюHНЕа∙ Aп╓HЙ╟HЙЕ░Ё шЛХё HН╜· ╣HЙ╜Ё Й╓шЛХё HН╜`· ╣HЙ╜РЁ Й╓шЛ╡ё ╣║HН╜└· HЙ╜ИЁ шЛ╡ё ╣║HН╜ √ HЙ╜@Ё шЛ╡ё ╣║HН╜А√ HЙ╜АЁ шЛ╡ё ╣║HН╜р√ HЙ╜°я шЛ╡ё ╣║HНЕ@№ HЙ╟HЙЕЁя шHНЕа№ ╣DЙЄDЙюHЙ╟HЙЕ8Ё шDЛН$Ё ЄНШЁ fW EЕ╔ОИHНЕ Є Є╟Её HЙЕЁ ЄХё ЄЕё Є\┴fTf/ЕШЁ ВNHЛЕАЎ LЛ╡аЁ Г╜ё ЛЛ@LЙ╡╪ё H╟Еx■ ЙЕpё HЛЕшЁ H╟Еp■ HЙЕ╕ё HЛЕ└Ё H╟Еh■ H╟Е`■ ЙХtё 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PHЛ|$шHЛ|$шHЛ|$шLЙ шLЙўшHЛ|$0шЛD$XЕ└u+HЛД$иdH+%(u$HБ─╕HЙ╪[]A\A]A^A_├HЛ|$Hшы╔шє·HЙ┼щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ┼щє·HЙ┼щє·HЙ├щє·HЙ┼щ RPj╔МЭ ХЫ╔╒эН╔Эй ┐∙ж╔┤С ╙сЫ╔лЕ ╩╒ const cv::Mat& cv::KalmanFilter::correct(const cv::Mat&)const cv::Mat& cv::KalmanFilter::predict(const cv::Mat&)lTЁ?GNU└zRxР8╙BНBМE ЖA(ГD@a (A ABBKX│EГйt'EГ]zPLRxЫРP$ьFПBОB НB(МA0ЖA8ГG╨е 8N0F(B BBBJ x,╨ГЖМНОПPЬVFПBОB НB(МA0ЖD8Гgа 8A0A(B BBBA ЁЧаГЖМНОПPсFПBОB НB(МD0ЖA8ГOрm 8D0A(B BBBF h5рГЖМНОПPМ╡FПBОB НE(МA0ЖA8ГNЁ 8D0A(B BBBD$рpЁГЖМНОП╙ I,mЧО' ╥5 $ "Dp#$q&&'╝)) *$7>ВЙЪ╖ │╨▀ │°"'"'-ьL!+h}Рж╗SV9VUс}└╫ы(P| 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┐H■┴■Aп╧D┴F┐D0№LЛt$8Dп╟D┴F┐D0№E╢q Eп┼EпЇBНМ E╢C ┴∙Eп╟EЁE╢t+ DпўEЁE╢t) EпїGНД0A┴° fDЙC■AЙЁDп╞fЙr№пёfЙJ■п╔єA*└єDXшfя└є*╞єDXрfя└є*┴єDX╪H;T$Еч■ HГD$PHЛT$XLT$`HЛD$PHT$h9D$ ~HЛ$DЛ@@щR√ 1Ўщu■ (┴(╓(√fo╬fs┘є%єD5X╤є-fo╩fs┘X╤(╩fo╨fs┌єAX═X┬єYсfo╨fs┌X┬fo╫fs┌єд$РX·(╠єAX─fo╫єDYЁfs┌X·(╟єAX├єYшєєAY╞є\хєX═єм$ФєAY╞(╘єY╘єд$°єX┬.рЗОєQ└HЛ$ЛD$ є\╚fя└Лs@п╞└є*└HЛC8є^╚HЕ└tЎC`t HЛ\$HєШHЛ$є@d/┴w0єД$РA(╬єAY╬єYД$Фє\┴є /╚ЖЪHЛ$DЛHXEЕ╔Е ў HЛ@0HЕ└Д¤Ў HЛ\$H╞щяЎ HЛ╝$PшHЛ╝$HшHЛ╝$pH;╝$Xt HЕ tшЛД$ИЕ└ЕHЛД$ШdH+%(Е─HБ─и[]A\A]A^A_├ЛМ$╕"D(1╥є%єD\$xєDd$pє^рГсєD\Ь$иєD\д$№┴с╙°Й┴HЛД$ГсHўёєд$рHЙД$hЙД$╪HЛ$Л@LЙД$шЕ└ОїHЛД$└Л\$╟Д$МLcд$╪єм$°HЙД$HЛД$°Й▀єм$└п■ў▐HЙД$ HЛД$ Й┤$╨HЙД$HЛД$XЙ|$`HЙД$НG∙ЙD$hНG°єм$╚┴шГ└H┴рHЙD$pHcД$<HЙД$(LрHЙД$0Hc├HЙD$xНG ЙД$ИfРєA,╙fя└1└є*┬A/├fя└Ч└1╔)┬єA,─є*└A/─Ч┴)╚;Ф$╨МbHЛЬ$9SОQЛL$ ў┘9┴ПC9CО:fя└A(уA(▄є є*┬╗@є\рfя└є*└є\╪єє\─є\╦(╨єY╤єYєY╠єY єY├єYє-·єD-щєD-Ё)√fnяЙ|$8Л|$ D)ыfA─эfbэD)єfAnцflэf─уfbфflфЕ ОDпT$fEя╥HЛ╝$fEя└пД$╪LЛМ$A(·E(╚HЛfяЎHc╥HЙ|$HЛ╝$ HШHЛ?HЙ|$XHЛ╝$HЛ?HЙ|$PHЛ╝$HЙ|$(HЛ╝$0LНH╨HЛ|$NН I╙LD$L\$╟D$HД$(LНfDЛt$hLЙ┴HЛD$(L)сЕЎОyHЛ|$p╛Ає~\1°єA~T2∙ЙЄHГ└ єA~D0°єE~l3∙f`▐f`╓f`╞fo╦fD`юfa╩fi┌fo╨fAa╒fAi┼fї═fї╘fї▌fA■╫f■╤fo╚fї╠frт fA■╧fo┬єoPЁf■╦єAo\qЁHГ╞frс fk┴fщ├єoXрfo╚fa╚fDoыfi└fDaъfi┌fo╤fa╨fi╚fAї╒fї╦[╥[╔X·DX╤H9ўЕ 9T$`О╕LЛ|$xHc·LЙD$0HН49DЛD$8IН,?IН= 0levels2 >= 0I.depth() == CV_32F && J.depth() == CV_32F(npoints = prevPtsMat.checkVector(2, CV_32F, true)) >= 0nextPtsMat.checkVector(2, CV_32F, true) == npointsofs.x >= winSize.width && ofs.y >= winSize.height && ofs.x + prevPyr[lvlStep1].cols + winSize.width <= fullSize.width && ofs.y + prevPyr[lvlStep1].rows + winSize.height <= fullSize.heightofs.x >= winSize.width && ofs.y >= winSize.height && ofs.x + nextPyr[lvlStep2].cols + winSize.width <= fullSize.width && ofs.y + nextPyr[lvlStep2].rows + winSize.height <= fullSize.heightprevPyr[level * lvlStep1].type() == nextPyr[level * lvlStep2].type()HЛ╜h· шHЛЕX· HЛ╜`· HЙЕh· шHЛЕh· HЛ╜H· HЙЕh· шHЛЕh· HЛ╜p· HЙЕh· шHЛЕh· HЙЕp· HЛ╜ H;╜(· tшHЛ╜╕· шHЛЕp· HЙЕ╕· HЛ╜░· шHЛ╜└· шHЛЕ╕· HЙЕ└· HЛ╜x· шHЛ╜@· шHЛ╜И· шHЛ╜Р· шHЛ╜а· шHЛ╜0· шHЛ╜8· шHЛ╜└· LЙЁHГшu3шшщHЛ╜` HНЕp H9╟tшHЛЕh· щє■ HЙ√Г╜√ tHЛ╜А· шHЙ▀шLЙўшHЛ╜И· шHЛ╜@· шHЛ╜Р· шHЛ╜а· шыйHЛ╜` HНЕp H9╟tшHНЕ0√ HЙЕ╕· HЛ╜╕· шHЛ╜░· шыОHЛ╜` H;╜p· tвшыЫHЛ╜` HНЕp H9╟uцыЖHЛ╜` H;╜p· u+HЛ╜└· шHЛ╜x· шHНЕ√ HЙЕ░· щq шы╬HЛ╜` HНЕp H9╟Д! шщ LЙўшLЛ╡`· HЛ╜p· шHЛЕh· HЙЕp· щ╥¤ HЛ╜` HНЕp H9╟Д║■ шщ░■ LЙўшLЛ╡`· ыпLЙўшLЛ╡`· ыЮLЙўшLЛ╡`· ыНLЙўшHЛ╜░· шщ HЛ╜` HНЕp H9╟tшHНЕ√ HЙЕ░· щС■ HЛ╜и· HНHЙЕp√ шщ╚■ HЛ╜` HНЕp H9╟Д■ шщ∙¤ LЙўшLЛ╡╕· щn¤ LЙўшLЛ╡╕· щ6¤ HЛ╜` HНЕp H9╟Дh■ шщ^■ є·UHЙхAWAVAUMЙ┼ATMЙ╠SHЙ√HБьшHЙ╡и· LЛ}HН5HЙХШ· HЙН╚· dHЛ%(HЙE╚1└HНЕ√ HЙ╟HЙЕА· шшД└Е%LЛ╡╚· LЙўш=ЕлHНЕ└№ IЛvHЙ╟HЙЕа· шЛCЕ└И∙Г{ОяГ{Ох╣║╛HЛ╜а· шЙЕ╚· Е└ИtДkЎC(Д╔LЙяш=Е■HНЕ ¤ IЛuHЙ╟HЙЕР· ш╣║╛HЛ╜Р· ш9Е╚· ЕO#HЛЕ╨№ HГь1╔LЙчjЛ╡╚· ║A╣HЙЕ`· HЛЕ0¤ A╕ HЙЕX· шA]LЙчA^ш=Е├HНЕА¤ IЛt$HЙ╟HЙЕ@· шHНЕр¤ HЙ╟HЙЕИ· шЎЕБ¤ @Дю"ЛХ╚· ╕╛HЛ╜Р¤ Е╥IЙ╓HЙ╜h· HN╨шLЙ шД└Д9HГьA╣DЙЎLЙ jA╕ ╣║шA[LЙ A\ш=ЕsLН╡` IЛwLЙўшHЛ╜И· LЙЎшLЙўшЎЕс¤ @ДбHЛЕЁ¤ HЙЕp· HНЕ√ HЛ╜и· H╟Е√ HЙЕ░· HНЕ0√ H╟Е√ H╟Е √ H╟Е0√ H╟Е8√ H╟Е@√ HЙЕ╕· шA╜A╝ =Д╡HНЕ√ HЛ╜Ш· HЙЕ░· HНЕ0√ HЙЕ╕· шA╛A┐ =ДО AГ№ Д╠AГ ДBЛS╕Ў┬tЛC╣d9╚O┴1╔Е└H┴ГтЙCЄt)ЄK fя└f/┴wf/ ЄЖф@HНЕ@■ ЄC HЙ╟HЙЕx· шAГ¤Д{ DЛcEЕфИcDЙЁEпЇў╪HШHН@McЎH┴рHЙЕP· KНvH┴рHЙЕ╕· DЙшў╪HШHН@H┴рHЙЕH· DЙшAп─HШHН@H┴рIЙ╟Ic─HН@H┴рHЙЕШ· HНЕа■ HЙЕ└· HНЕ HЙЕ░· HНЕp√ HЙЕи· HЛ╜└· шAГ¤ДCНD$HЛ╜└· HШHН4@H┴цH╡√ шHЛ╡√ HЛН╕· HН0√ L■HЛA@HЛV@Лx9zu Л9Д*LН╡` HНЕp 1╥H╟Еp√ DHН╡p√ LЙўHЙЕp· HЙЕ` шHЛХp√ HЙЕ` LЙЎA╕rfoHН ┐) HЙХp fo╟@@ze()@fo@ fo@0HЛЕp√ HЛХ` HЙЕh ╞HНшDHЛЕ¤ ЛХ└№ E1╔LЙяHН╡p√ A╕ЛЛ@Бт ЙНt√ ╣ ЙЕp√ шщё· fРHНЕ ¤ ║ LЙюHЙ╟HЙЕР· шщ∙· DHНЕ└№ HЛ╡╚· ║ HЙ╟HЙЕа· шщH· РH╟Еp· щ:№ HНЕА¤ ║ LЙцHЙ╟HЙЕ@· шщ5√ DшД└Д╬∙ HЛ╜и· ш= tHЛ╜Ш· ш= Ед∙ 1╥╛┐шД└ДЛ∙ ЎC(ЕБ∙ шHЙ╟шД└Дl∙ HНЕp√ HЛ╡и· ║ HЙ╟HЙЕh· шHНЕP√ HЛ╡Ш· ║ HЙ╟HЙЕ`· шЛЕp√ 9ЕP√ Е∙ ЛЕt√ 9ЕT√ Е∙ HЛ╜и· Г╬ шHЛ╜Ш· Г╬ AЙ╞шDЙЄDЙё┴·ГсБт ╩Й┴┴°Гс% ╩ ┬Е╕° LЛ╡╚· LЙўшД└Еб° Г╬ LЙўшГ° ЕН° LЛ╡╚· Г╬ LЙўшИЕ· Д└Дm° HЛ╜h· Г╩ LЙЎшГ╜t√ t#HЛ╡╚· HЛ╜`· Г╩ шГ╜P√ Е/° HЛ╜╚· Г╬ шА{HHЙЕ└· Д\LЙяшД└Е ў Г╬ LЙяшГ° Еыў HЛ╜╚· Г╬ шД└Д╘ў HЛ╜h· Г╩ LЙюшГ╜t√ tHЛ╜`· Г╩ LЙюшГ╜P√ ЕЪў Г╬ LЙяшH9Е└· ЕВў ЛC8║dЄC@fя╥9╨O┬1╥Е└H┬f/╨ЙC8ЗR Є Є]╚f(┴Г{ЄC@И9ў ЛCГ°О-ў ЛSНJ°Г∙НH°@Ч╞Г∙Ч┴@╬@И╡P· Еў Г└╟CT1Ў┴шЙCLНB┴шЙCPHНЕ № HЙ╟HЙЕ8· шLЙ шД└Д╤ASЛ╡└· E1╔AГ╚ j╣║LЙ шLН╡` AYГ╩ AZLЙ■LЙўшHЛ╜8· LЙЎшLЙўшAPЛ╡└· E1╔AГ╚ j1╔║LЙчшHНЕp№ ^Г╩ _LЙюHЙ╟HЙЕ0· шHНЕ└№ Г╩ LЙцHЙ╟HЙЕа· шHНЕ ¤ 1ЎHЙ╟HЙЕР· шLЛ╡╚· LЙўш=ЕУIЛvLН╡` LЙўшHЛЕР· LЙўHЛ╡h· H╟Еp√ H╟ЕА√ HЙЕx√ шLЙўшHНЕр¤ HЛ╡Ш· Г╩ HЙ╟HЙЕИ· шHНЕА¤ HЛ╡и· Г╩ HЙ╟HЙЕ@· шЛC8║dЄC@fя█9╨O┬1╥Е└H┬f/╪ЙC8ЗV Є Є]╚f(┴Г{ЄC@xЛCГ°~НH°ЛSГ∙wНJ°Г∙ЖФHЛ╜@· шHЛ╜И· шHЛ╜Р· шHЛ╜а· шHЛ╜0· шHЛ╜8· шА╜P· Е▒щЫЇ ДHЛ╜и· HН╡√ HНЕ0√ HЙ╡░· HЙЕ╕· шHЛЕ√ LЛе√ I)─I┴№EiфлкккAГьИH EЙхAГхЕНA╜EЕфЕ:D9cО╫Ў DЙcщ╬Ў LЙяшLЙчшLЙ шHЛ╜а· шЛЕ√ Е└Е.HЛE╚dH+%(Е HНe╪[A\A]A^A_]├@ЄY╔f(┴щў ЛЛH`A╛`┴·Бт НtЙ╩┴·Бт Г┬9╓ДtJН<0HНХp√ H╟ЕP√ HНЕ0√ HН╡P√ H╟Еp√ HЙЕ╕· шЛХp√ Лs9Є|4ЛЕt√ ЛK9╚|'L╡√ AVЄ;ХP√ AF╚;ЕT√ О╪■ LН╡` HНЕ0√ HН5LЙўHЙЕ╕· шA╕)HН LЙЎ┐) HНшfДHЛ╜А· шщ┴■ АLН╡` ║ LЙ■LЙўшщДЇ @HЛ╜Ш· HН╡0√ HНЕ√ HЙ╡╕· HЙЕ░· шHЛЕ0√ LЛ╜8√ I)╟I┴ Ei лкккAГяИ]EЙ■AГцЕЇA╛EЕ Е2D9{О■Ї DЙ{щїЇ HЛХ√ ЛsHЛ╜x· Л┴°% НDН┼ЛBDНpЛBЛsDЙ┬Н4pшщBї DHЛCЛKjHНХP√ jHЛ╜Ш· HН╡p√ E1└HЙЕP√ HНЕ0√ A╣HЙЕ╕· HЙЕx√ HНЕ√ H╟Еp√ H╟ЕА√ HЙЕ░· ш_AXЙCщEЇ АHЛCЛKjHНХP√ jHЛ╜и· HН╡p√ E1└HЙЕP√ HНЕ√ A╣HЙЕ░· HЙЕx√ HНЕ0√ H╟Еp√ H╟ЕА√ HЙЕ╕· шAYAZЙCщ║є fDHЛНШ· HЛЕ√ E1╔LЛЕP■ HЛ╜░· HЛD@ЛPDЛ0ЛЕ@■ ЙХ8· % Й┴ЛCНBЛCAН4FшЛХ8· DЙ╡|√ LН╡` HЛCHЛ╡░· LЙўЙХx√ HЛХи· HЙЕp√ шHЛ╜└· LЙЎшLЙўшHЛНШ· HЛ╡└· HН√ HЙ╧шDЛCЛSAVHН╜P√ HЛН└· HЛЕ░· jHЛ╡и· EЙ┴H╟Еx HЙНX√ Й╤H╟Еp H╟Еh H╟Е` H╟Еp√ H╟ЕА√ HЙЕx√ H╟ЕP√ H╟Е`√ шHЛ╜░· Y^шщмє ДЛ3й ЕйHЙНА√ HЛН`· fя└LН5ЛC(HЙ╡x√ ЄZC0HЛ{ЛSHЙНР√ LЛCЄK ЙЕ╨√ HЛНX· ЛЕ╚· HЙ╜╕√ HН╜P√ HЛ╡└· єЕ╘√ HЙНШ√ HЛНh· ЙЕT√ HЛHЙ╡И√ HЛ╡и· HЙНа√ HЛНp· fHn└LЙ╡p√ HЙНи√ LЙЕ░√ DЙе╚√ ЙХ╠√ ╟ЕP√ ЄН└√ шHЛ╜и· LЙ╡p√ AГьшHЛ╜└· шHЛНP· HГнШ· `HН╕· L╜H· AГ№ Е/Є HЛ╜x· шHЛЕ0√ HЛЭ8√ HЙ╟H9├tРIЙ шLЙ°HГ└`HЙ╟H9├uщHЛ╜0√ HЕ tшHЛЕ√ HЛЭ√ HЙ╟H9├t fРIЙ шLЙ°HГ└`HЙ╟H9├uщHЛ╜√ HЕ tшHЛ╜И· шHЛ╜@· шHЛ╜Р· шHЛ╜а· шЛХ√ Е╥Д\∙ HЛ╜А· шщK∙ ЛЛH`H╟Е└· `┴·Бт НtЙ╩┴·Бт Г┬9╓Д╓HЛН└· HНХp√ HН╡P√ H╟ЕP√ H╟Еp√ HН<HНЕ√ HЙЕ░· шЛХp√ Л{9·|9ЛЕt√ Лs9Ё|,HЛН└· HН0√ Q·;ХP√ AЁ;ЕT√ О`· LН╡` HНЕ√ HН5LЙўHЙЕ░· шA╕EHН LЙЎ┐) HНшfДГсГ∙Е A╤ A╛щя∙ ГсГ∙ЕА° A╤№A╜щ╜ў Ic╒LН4RI┴цщb° Ic╓HНRH┴тHЙХ└· щ╧■ LН╡` HНЕp 1╥H╟Еp√ 8HН╡p√ LЙўHЙЕp· HЙЕ` шHЛХp√ A╕щfoHЙЕ` HН LЙЎ┐) H╗ight > 2HЙХp foHЙX0@fo@ HЛЕp√ HЛХ` HЙЕh ╞HНшLН╡` HН5LЙўшA╕ьHН LЙЎ┐) HНшfя└щ▒ї LН╡` HНЕ√ HН5LЙўHЙЕ░· шA╕7HН LЙЎ┐) HНшLН╡` HН5LЙўшA╕sHН LЙЎ┐) HНшLН╡` HЛ╡╚· Г╩ LЙўшщbЇ HН5LЙўшA╕HН LЙЎ┐) HНшfя└щ╡Є LН╡` HНЕ0√ HН5LЙўHЙЕ╕· шA╕HН LЙЎ┐) HНшшHЛ╜╚· Г╬ шAЙ╞HЛ╡╚· HНЕ°· Г╩ HЙ╟HЙЕH· шHЛ╡H· E1╔E1└Г╔ DЙЄLЙяшщ▀ё Г└╟CTHЛ╡Р· ┴шЙCLНB║┴шА{HHE╡0· 1╔ЙCPHНЕ@■ HЙ╟HЙЕx· шHНЕа■ HЛ╡0· 1╔║HЙ╟HЙЕ└· шHЛЕ└· ЛKfя╔HН╜0√ єHЛХh· H╟Еp√ HЙЕx√ HЛЕx· HЛ╡`· H╟ЕА√ HЙЕX√ ╕╙рГ╔ H╟ЕP√ є*╚HНЕ√ H╟Е`√ HЙЕ░· HЙЕ8√ H╕HЙЕ@√ HЛє^┴HЙ╜╕· ╟Е0√ ┴єYєZ└ЄЕ√ fHn└шшHЙ┬HЛHЛ╡h· ╟Еp√ ┴HЛ╜а· LЙ╡x√ HЙЕ` HЙЕh HЙЕp HЙЕx H╕HЙЕА√ шH╟Е√ ЛCH╟Е√ H╟Е √ НpHcЎHЕЎЕ$H╟Е0√ Г└H╟Е8√ HcЁH╟Е@√ HЕЎЕшHЙ╟шЙЕX· Е└ОEЛНX· ЛХМ¤ E1└HН╜ Л╡И¤ HЙ╜p· Й╚╩╣ў╪Гъ!┬ЙЕ(· ш║ ЛЕМ¤ LЙўHЛН`· H┴тHЛ╡p· ╟ЕP√ HЙХp√ HЛХh· ЙЕT√ шHЛХ√ LЙЎHЙ╫HЙХP· шLЙўшHЛ╜p· шЛХX· E1└╣Хь¤ Л╡ш¤ HЛ╜p· Гъ#Х(· шЛЕь¤ HЛ╡p· LЙўHННЁ· HНХ°· ╟ЕЁ· ЙЕЇ· ╕ H┴рHЙЕ°· шHЛЕ0√ LЙЎHЙ╟HЙЕH· шLЙўшHЛ╜p· шHЛЕH· HЛХP· ╟Е · HГ└PHГ┬PHЙЕH· HЙХP· щ╢HЛ╜P· ╣E1└ЛG╝DЛW░Г└AБт Щў∙HЙ·Л╜X· Лr╕HЙХP· Й╡· DНL ЙЕ· НFD#Н(· ЩHЛ╜p· ў∙DЙ╤DЙ╩Й╞шЛЕ· HЛ╡p· LЙўHННр· HНХш· ╟Ер· ЙЕф· ╕ H┴рHЙЕш· шHЛ╜P· LЙЎшLЙўшHЛ╜p· шHЛ╡H· DЛЭX· E1└HЛ╜p· ЛN╝DЛV░HЙ╡H· НA╣AБт Щў∙EНL DЛ^╕ЙЕ· D#Н(· AНCDЙЭ· Щў∙DЙ╤DЙ╩Й╞шDЛН· ╕ HЛ╡p· HНН╨· H┴рLЙўHНХ╪· ╟Е╨· DЙН╘· HЙЕ╪· шHЛ╜H· LЙЎшLЙўшHЛ╜p· шГЕ · HГЕH· PHГЕP· PЛЕ · ;CО;■ HЛЕ√ HЛ╡h· fя╔║HЛ╜@· H╟Еp√ HЙЕX· HЙЕx√ HЛH╟ЕА√ fHn└шHЛ fя╔║HЛЕ0√ HЛ╡h· HЛ╜И· H╟Еp√ fHn┴HЙЕ · H╟ЕА√ HЙЕx√ шHЛЕ · ╟ЕH· HГ└PHЙЕP· HЛЕX· HГ└PHЙЕp· HНЕ°· HЙЕ(· щїHЛЕp· HЛХ(· ╣H╟Е°· HЛ╡h· HЛ╜`· H╟Еp√ HЙЕx√ HГшPH╟ЕА√ H╟ЕP√ H╟Е`√ HЙЕX√ шHЛНP· HЛХ(· H╟Е°· HЛ╡h· HЛ╜`· H╟Еp√ HНA░HЙНx√ ╣H╟ЕА√ H╟ЕP√ H╟Е`√ HЙЕX√ шГЕH· HГЕP· PHГЕp· PHcC9ЕH· О√■ HЙЕ· Hk└PHЙЕ· HНЕ HЙЕ(· щoHЛХ HН╜ A╕1ЎHН шHНЕЁ· HЙ╟HЙЕp· шHЛ=шHЛ╜p· HЙ┬HНН E1└HН5шИЕP· Д└ДрHЛЕX· HЛХ· HЙ┴ЛH╤ЙЕP· ГрГ°ЕсHЛЕ · HЙ╟ЛH╫ЙЕH· ГрHЙ╜P· Г°Е╕HЙ╧HЙН· ш╢╚HЛ╡· HНЕ°· 1╥HЙ╟HЙЕH· шHЛ╜P· шHЛ╡P· HЛ╜`· ╢╚1╥шHЛХH· HЛ╜p· 1ЎшHЛХ`· HЛ╜p· Й╞шQHЛХР· E1╔╣jA╕╛HЛ╜h· ЙЕP· шXЛ╡P· ZHЛ╜p· HЛХh· шASE1╔A╕╣jHЛХ0· ╛HЛ╜h· ЙЕP· шHЛХh· Л╡P· HЛ╜p· AYAZшAPE1╔A╕╣jHЛХа· ╛HЛ╜h· ЙЕP· ш^HЛХh· _Л╡P· HЛ╜p· шQHЛХ8· 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MЙ╚I)ЁI┴°EЕ╥О3LЙЕР№ HЛН ¤ 1└DЛХ░№ LЛЭи№ fРА<tAA9┬}8Ic╥є╞H┴тLНH·єAєD╞єA@є╟єєD╟єBAГ┬HГ└L9╪u░LЛЕР№ Ic┬HЙЕи№ L9└ЗBsHЛЕи№ HН4╞L9╬tHЙ╡ш№ HЛХ¤ HЙ╨H)°H┴°HЙ┴H;Еи№ ВёHЛЕи№ H9┴vHН╟H9╨tHЙЕ¤ А╜┤№ ДшHГьЄ ЄHЙ┴j HЛХа№ ╕ БHН╡а¤ HЛ╜╕№ A╣╨A╕HЙЕ└¤ H╟Е╨¤ LЙ╜╚¤ HЙЕа¤ H╟Е░¤ HЙЭи¤ шHЛ╜ ¤ ZYHЕ tшHЛ╜¤ HЕ tшHЛ╜р№ HЕ tшLЙяшLЙчшЛЕ╪№ Е└ЕэHЛE╚dH+%(Е<HЛЕ╕№ HНe╪[A\A]A^A_]├ЄY┌ще° шHГьЄ ЄHЙ┴j HЛХа№ ╕ БHН╡а¤ HЛ╜╕№ A╣╨A╕HЙЕ└¤ H╟Е╨¤ LЙ╜╚¤ HЙЕа¤ H╟Е░¤ HЙЭи¤ шщ√■ HНЕ` DЙ∙║LЙцHЙ╟HЙЕи№ шHЛ5╗ Вfя╔HНН└¤ HЛ╜и№ ║HЙЭ└¤ HНЭр№ fHn╞HЙ╬H╟Е╨¤ HЙЭ╚¤ HЙНа№ шHЛ╜и№ шDЙ∙║LЙюHЛ╜и№ ш║ ВHЛ╡а№ fя╔HЛ╜и№ HЙХ└¤ HЛLН╜¤ H╟Е╨¤ fHn┬║LЙ╜╚¤ шHЛ╜и№ шщz¤ Г╜и№ ДЫ∙ HНЕа■ HЙ╟HЙЕР№ шHНЕ HЙ╟HЙЕИ№ шщAў @LЙўшщ■ HЛ╡и№ LЙ H)╞шщ¤ HЙ╞HЙ▀L)╞шHЛ╜¤ щ╜№ HЛ╡и№ HН╜ ¤ H)╬шщ∙∙ HЛ╡и№ HН╜¤ H)╞шщи∙ HЙ■HН╜р№ H)╞шщS∙ MЕ└Д?H╟Еи№ L9╬ЕL№ HЛХ¤ HЙ╤H)∙H┴∙щ^№ HЛЕР№ HН╜└¤ LННа¤ fя╔HЙ╜а№ HЙ■╣f(┴HЙЕ╚¤ HНЕА¤ LЙ╧HЙ┬DЙ╜А¤ ЙЭД¤ H╟Е└¤ H╟Е╨¤ H╟Еа¤ H╟Е░¤ LЙеи¤ HЙЕx№ LЙНА№ ЄНp№ шHЛНИ№ fя╔fя└HЛХx№ HЛ╡а№ HЛ╜А№ DЙ╜А¤ HЙН╚¤ ╣ЙЭД¤ H╟Е└¤ H╟Е╨¤ H╟Еа¤ H╟Е░¤ LЙни¤ шщ]ў HЛХ¤ H╟Еи№ HЙ╤H)∙H┴∙щ(√ HНЭ` HН5HЙ▀шA╕ЎHН HЙ▐┐. HНшHНЭ` HН5HЙ▀шA╕дHН HЙ▐┐3 HНшшє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·IЙ╟щє·HЙ├щ |KS#╫y#╦╦З├√т╦В╫╣[З░Ыхч│т ┐╚╞ЗряГЗ╨у┬lЗ№z┐нЗ╬зфЗЕП РSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt19_Sp_make_shared_tagSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN2cv17SparseOpticalFlowEN2cv22SparsePyrLKOpticalFlowEN2cv6detail18ScharrDerivInvokerEN2cv6detail16LKTrackerInvokerE*N2cv12_GLOBAL__N_126SparsePyrLKOpticalFlowImplE*St23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_126SparsePyrLKOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EEcv::Mat cv::estimateRigidTransform(cv::InputArray, cv::InputArray, bool)virtual void cv::{anonymous}::SparsePyrLKOpticalFlowImpl::calc(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::OutputArray, cv::OutputArray)int cv::buildOpticalFlowPyramid(cv::InputArray, cv::OutputArrayOfArrays, cv::Size, int, bool, int, int, bool)virtual void cv::detail::LKTrackerInvoker::operator()(const cv::Range&) constР█┘╣SparseOpticalFlow.SparsePyrLKOptimg.depth() == CV_8U && winSize.width > 2 && win maxLevel >= 0 && winSize.width > 2 && winSize.heprevPyr[level * lvlStep1].size() == nextPyr[level * lvlStep2].siBoth input images must have the ?А?АFА5А@4pAЁ?{оGсzД?Y@-Cыт6?$@Ё┐^@d@.@ЪЩЩЩЩЩ╣?оGсzоя?@GNU└zRxР0DXlАФи╝╨ ф° 4H \ pД LЖOа┤ LЖO╨IMМp CHЁ LЖO84╙BНBМE ЖA(ГD@a (A ABBKzPLRxЫР<$BНBМA ЖA(ГDР▓ (A ABBAd1РГЖМН ЁШFМI ~ EApX╝▐ EЖC FПОНEМDГх.@..Z.╜.b.t.`.Ч.\ DU. lГЖМНОПL<эFПEОB НE(МI0ЖA8ГG`│ 8A0A(B BBBA М`ГЖМНОП8░╕EЖC FПОНEМHГя.s C{ E ьЕГЖМНОП4|UFМAЖA Гs DBOAAB4┤UFМAЖA Гs DBOAAB$ь5EЖAГK aAAzPRxЫРL mFПBОB НB(МA0ЖA8ГGа ╫ 8A0A(B BBBJpа ГЖМНОПP4aFПBОB НB(МA0ЖA8ГJр _ 8A0A(B BBBA Иpр ГЖМНОПxмвYПLОB НB(МD0ЖA8ГJ``8A0A(B BBBF├╞╠═╬╧H`ГЖМНОПў 8A0A(B BBBG|(д)EЖC FПОНEМDГz.L.м.L.v.Y.w.^.z Eq.с...▄ .[.p.].p.[.o.[. и╠ГЖМНОПt8УYПBОB НB(МD0ЖD8ГD@Y8A0A(B BBBB├╞╠═╬╧H@ГЖМНОПг 8A0A(B BBBAt░╗YПBОB НB(МD0ЖA8ГJ@Ш 8A0A(B BBBHV8A0A(B BBBH├╞╠═╬╧H@ГЖМНОПH╝EЖC DПОIНMМГ&.0%.v.А AI.v.f.$├ГЖМНОП#$%&''(A()М)*═*+ +,R, -и-.х./!/ 0i0 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wёvector::_M_realloc_insertє·H╣ЩЩЩЩЩЩЩAWAVAUATUHЙ╒H║═╠╠╠╠╠╠╠SHГь(LЛoLЛ?HЙ|$LЙшL)°H┴°Hп┬H9╚ДnHЕ└║IЙЇIЙЎHE╨HЙєH┬Т└HЙT$M)№╢└HЕ└Е▌HЕ╥ЕLЙчHЙюLЙd$шH╟$M9■ДчLЛ$$LЙ¤@HЙюLЙчшHГ┼PIГ─PI9юuшIГ─PLЙхM9юt@HЙ▐HЙяшHГ├PHГ┼PI9▌uшLЙ√M9яtДHЙ▀HГ├PшL9ыuяMЕ tLЙ шHЛD$HЛ$HЛL$HНАH┴рHЙH╨HЙiHЙAHГ─([]A\A]A^A_├АH┐╨ HЙL$шHЙюI─HЙ$LЙчLЙd$шM9■Е LЛ$$щ3 H╕ЩЩЩЩЩЩЩHЛL$H9┴HF┴HН<АHЙD$H┴чынHН=шє·HЙ╟ы є·HЙ╟ышLЙуH9ыt.HЙ▀HГ├PшыэHЛ,$шHЙыH;$tIHЙ▀HГ├Pшыьшє·HЙ╟ыQє·HЙ╟ы є·HЙ├ы-шH╟$HЛ|$шHЛ,$HЕэtHЙяшшшHЛ,$HЙ▀LЙ$$ыЕшHЛ$L9уtHЙ▀HГ├Pшыэє·HЙ┼ышшHЙяшє·HЙ┼шHЙяшыБ ЫE9Пб╢Ш▐╞ч■╧┴Ук█ОЧйд}prev0.size() == next0.size() && prev0.channels() == next0.channels() && prev0.channels() == 1 && pyrScale_ < 1_flow0.size() == prev0.size() && _flow0.channels() == 2 && _flow0.depth() == CV_32Fcalcsrc.type() == CV_32FC1FarnebackPolyExpшшHЛ╜p√ HНЕА√ H9╟tшыHН╜p√ шHН╜@ў шHЛ╜└щ шHЛ╜Ащ шHЛ╜░щ шHЛ╜╕щ шHЛ╜ащ шHЛ╜hщ шHЛ╜0ъ шHЛ╜Шщ шHЛ╜Ищ шHЛ╜Рщ шГ╜╚ъ tHЛ╜pщ шHЙ▀шє·HЙ├щS є·HЙ├щS HЛ╜аъ шLЙ шHЛЕ╪ъ LЛ╜╨ъ HЙЕаъ L9╜аъ tCLЙ IГ╟Pшыщшє·HЙ├HН╜@ў шHН╜є шHЛ╜`щ шщ▐■ HЛ╜╨ъ HЕ 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Д5fя└Г└HН╜Ёю Є*├HШHЙ╜Pщ ЄYHЙ╜рю HЙЕшю ЄЕиъ H=v'H║■ H9╨ЗHН<ЕшHЙЕрю ЛЕxъ HН╜ є HЙ╜Xщ НАHЙ╜є ЙЕШъ Г└HШHЙЕє H=v'H║■ H9╨ЗHН<ЕшHЙЕє DНdЫHЛ╜xщ AНD$HШHЙ╜@ў HЙЕHў H=v'H║■ H9╨ЗHН<ЕшHЙЕ@ў DЙ°HЛ╜╨щ Г└HШHЙ╜p√ HЙЕx√ H=ИЗРHЙ∙HЛЕрю McфJНDаLЛе@ў HГрЁHЙЕРъ HЛЕє A╟$А?HГ└HГрЁHЙЕИъ Hc├MНlДHЙЕhъ IГхЁAГ■ОЮЄ╜иъ HЛHЙН`ъ A┐f(╟HЙЕиъ ЄX╟ЄY╟ЄЕаъ fDDЙ°fя└ў╪Aп╟Є*└Є^Еаъ шЄZ└єC╝єX└IГ╟єZ└ЄXЕиъ ЄЕиъ D9√}╖Є HЛН`ъ Є^╚1└fРfя└єAZДЄY┴ЄZ└єAДHГ└9├}рLЙъ1└єAДHГ└HГ┬╞└)BЁ9├}цЛЕHъ Е└ОЪHЛ╜hъ Н4ЫH╟Еаъ Й╡ъ ╟Е(ъ HН∙Л╜Шъ HЙЕиъ НG∙ЙЕhъ НG¤ЙЕъ HcЕHъ НH HЙЕ ъ НGЁ┴шЙН`ъ DЙёЙ┬ў┘Г└H┴тЙН@ъ ┴рHНJPЙЕАъ Hc╟HЙНЁщ HЛНРъ HНБHЙ╩HЙЕъ НF H┴рH)┬HНBHЙЕшщ HН HЙЕрщ НG°┴шН┼ЙЕ№щ ЛЕxъ ГшHЙЕъ HЛЕИъ HГ└H)╚HЙЕ╚щ HЛЕИь HЛ╜аъ Hп8HЛЕPь H°HЙЕXъ AГ■ |}HЛЕю HЛ╜╨э 1╥LЛЕаъ DЛН`ъ HЛ0HЛЕиъ HЙ┴IЙ├fДDЙ└A║)╨AH┬HШHп╞H°HЙBНD9╚AO┴HГщHШHп╞H°IЙ╙HГ┬9╙}┴LЙЭиъ E1╔Г╜Шъ LЛ╜Ръ ╣ОLЙеPъ HЛ╜иъ LЛеЁщ fДHЛAELНYЁLНILНQ lЁ$\T YшYрY╪Y╨AГ■ОЗHЙ╜иъ MНE╛HЛW°A(HГяIГ└HЛЕиъ BHЛЁHГ╞B<B4X╟<Y┴Xш X╟Y┴XрB X╞B4Y┴X╪BX╞Y┴X╨9є}УHЛ╜иъ HГ┴@A)/IГ╟@Ag╨A_рAWЁI9╠Е HЙ╜иъ LЛеPъ DЛНАъ D;Нъ НеЛ╜Шъ Ic┴LЛЭРъ HНЕDНW№HЛ╜иъ E)╩A┴ъDЙ╤LНDИI┴рHЛAuY╬AГ■~@IНuHЙ∙╕IЙ @HЛy°HГ╞HГщIЛ<╟HГ└X┬YFЁX╚9├}╓LЙ AHГ┬I9╨uЭHЙ╜иъ GНLСD;НШъ НЧЛЕШъ LЛЭиъ Ic╤LЛХРъ HНХГшIЛ3D)╚HН|LЙ╪H┴чєєAY$AГ■~ АHЛ╜pщ шщ № є·HЙ├щє·HЙ├щє·щє·HЙ├IЙ╓щє·HЙ├IЙ╓щє·щє·щє·щє·HЙ├IЙ╓щє·HЙ├IЙ╓щє·HЙ╟IЙ╓щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·щє·HЙ├щє·HЙ├щє·HЙ├IЙ╓щє·HЙ├щє·HЙ├щ Ы№Ё_d▒Lt+ЁLв*╠LЇфLХ╪L│╠L╓ЁLч║▒Lъ-ЭMыAфL╚└LГ YфLзэЕM┘П№LУ'┼KЦфLў■№L╧!БLЯ"КLЛ4мM╧5№L╢@╕M╨A№L A°KоB╤KГDЕMбDСM╥EbЕMПGrЭMШHвL╡HУLГI8ЭM╥IщKўIЭMбJ┌K╙J№LЇJ╣KЗK┌KЧKщK} Ы1'▌╤╠йоЗМХЪч ▌}St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt19_Sp_make_shared_tagSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN2cv16DenseOpticalFlowEN2cv20FarnebackOpticalFlowE*N2cv12_GLOBAL__N_124FarnebackOpticalFlowImplE*St23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EEvoid cv::calcOpticalFlowFarneback(cv::InputArray, cv::InputArray, cv::InputOutputArray, double, int, int, int, int, double, int)virtual void cv::{anonymous}::FarnebackOpticalFlowImpl::calc(cv::InputArray, cv::InputArray, cv::InputOutputArray)оM)\>)\>fўф>fўф>fўф>А??ЪЩЩ>DenseOpticalFlow.FarnebackOptica Ё?А>333333╙?р?Нэ╡аў╞░>@@@№йё╥MbP?GNU└zRxР0DXlАФ и ╝ ╨ ф° 4H\ p ДШм└IMМp CHHр~BПBОE НE(МD0ЖD8ГJЁS8A0A(B BBB, @ zPLRxЫРP$^AЖH DПОNНEМEГщ Bv.U._.V.Й.Q.k.P.k.P. x1ГЖМНОП0ь└BМDЖD ГG0^ AABE4 єFНBМA ЖK(ГD0╘(A ABB(X`FМKЖA Г?HB ДХFМI { EADXтAЖC BПEОEНFМEГ╙ Bf.T.b.P.b.P. а,ГЖМНОПT─AЖC BПEОEНEМEГ№ Jf.T.b.Y.Ы.Q.b.P.i.P. 3ГЖМНОП8РWFНMМA ЖA(ГG00(A ABB(╠hFМKЖA ГKDB°'EГ]P─РFПBОE НL(МD0ЖA8ГDА7 8A0A(B BBBE ГАГЖМНОПL<╨FПBОE НE(МI0ЖA8ГF`Ч 8A0A(B BBBA М`ГЖМНОП<░ИFНEМA ЖD(ГGа╞ (A ABBEPЁ╧BПEОB НB(МA0ЖC8ГJрО 8A0A(B BBBA DрГЖМНОП$╕5EЖAГK aAAxРвYПLОB НB(МD0ЖA8ГJ``8A0A(B BBBF├╞╠═╬╧H`ГЖМНОПў 8A0A(B BBBGp9&AЖC PПОНМГd.u.7.U.l.V.в.X.№.S.l.T.З EП.T.m.W.й.W. АhГЖМНОПLд┐PПBОB НB(МA0ЖN8ГD` 8A0A(B BBBH8Ї─&EЖC \ПОНМГя .b.▓ A 0LГЖМНОПA А !┐! 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°_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl12getNumLevelsEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl12setNumLevelsEi_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl11getPyrScaleEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl11setPyrScaleEd_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl15getFastPyramidsEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl15setFastPyramidsEb_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl10getWinSizeEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl10setWinSizeEi_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl11getNumItersEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl11setNumItersEi_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl8getPolyNEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl8setPolyNEi_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl12getPolySigmaEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl12setPolySigmaEd_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl8getFlagsEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl8setFlagsEi_ZNSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2cvL23FarnebackUpdateMatricesERKNS_3MatES2_S2_RS0_ii_ZZN2cvL23FarnebackUpdateMatricesERKNS_3MatES2_S2_RS0_iiE6border_ZNSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZNSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl22polynomialExpansionOclERKNS_4UMatERS2__ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl22polynomialExpansionOclERKNS_4UMatERS2_.cold_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPKcEEvT_S8_St20forward_iterator_tag.isra.0_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl14collectGarbageEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplD2Ev_ZTVN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplE_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplD1Ev_ZNK2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl14getDefaultNameEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl13updateFlowOclERKNS_4UMatERS2_S5_.constprop.0_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl13updateFlowOclERKNS_4UMatERS2_S5_.constprop.0.cold_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl17updateMatricesOclERKNS_4UMatES4_S4_S4_RS2_.constprop.0_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl17updateMatricesOclERKNS_4UMatES4_S4_S4_RS2_.constprop.0.cold_ZNSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplD0Ev_ZZN2cv24calcOpticalFlowFarnebackERKNS_11_InputArrayES2_RKNS_17_InputOutputArrayEdiiiidiE26__cv_trace_location_fn1198_ZTVSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE_ZN2cv24calcOpticalFlowFarnebackERKNS_11_InputArrayES2_RKNS_17_InputOutputArrayEdiiiidi.cold_ZN2cv20FarnebackOpticalFlow6createEidbiiidi.cold_ZN2cvL24FarnebackPrepareGaussianEidPfS0_S0_RdS1_S1_S1__ZN2cvL24FarnebackPrepareGaussianEidPfS0_S0_RdS1_S1_S1_.cold_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplclERKNS_4UMatES4_RS2_S5__ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplclERKNS_4UMatES4_RS2_S5_.cold_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl4calcERKNS_11_InputArrayES4_RKNS_17_InputOutputArrayE_ZZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl4calcERKNS_11_InputArrayES4_RKNS_17_InputOutputArrayEE26__cv_trace_location_fn1101_ZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl4calcERKNS_11_InputArrayES4_RKNS_17_InputOutputArrayE.cold_ZTIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplE_ZTSN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplE_ZTISt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE_ZTSSt23_Sp_counted_ptr_inplaceIN2cv12_GLOBAL__N_124FarnebackOpticalFlowImplESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE_ZZN2cv24calcOpticalFlowFarnebackERKNS_11_InputArrayES2_RKNS_17_InputOutputArrayEdiiiidiE32__cv_trace_location_extra_fn1198_ZZN2cv12_GLOBAL__N_124FarnebackOpticalFlowImpl4calcERKNS_11_InputArrayES4_RKNS_17_InputOutputArrayEE32__cv_trace_location_extra_fn1101.LC3.LC19.LC2.LC1.LC4.LC5.LC7.LC8.LC9.LC10.LC11.LC13.LC17.LC20.LC22.LC26.LC24.LC25.LC30.LC28.LC29.LC32.LC34.LC39.LC40.LC35.LC36.LC37.LC38.LC23.LC31.LC27.LC33.LC42.LC43.LC44.LC45.LC48.LC46.LC47_ZN2cv7MatExprD5Ev_ZN2cv4Mat_IdEC5EONS_7MatExprE_ZN2cv9Algorithm5clearEv_ZNK2cv9Algorithm5writeERNS_11FileStorageE_ZN2cv9Algorithm4readERKNS_8FileNodeE_ZNK2cv9Algorithm5emptyEv_GLOBAL_OFFSET_TABLE__ZZNSt19_Sp_make_shared_tag5_S_tiEvE5__tag_ZTSSt19_Sp_make_shared_tagstrcmp_ZN2cv3Mat6createEiii_ZdlPvDW.ref.__gxx_personality_v0_ZN2cv6formatB5cxx11EPKcz_ZN2cv3ocl6KernelC1Ev_ZN2cv3ocl5video29optical_fl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LЛ╜╚є HНp`LЙ шDЛ│P┐DЛлPH╟ЕЎ H╟ЕЎ LЙЁI┴х H╟ЕЎ H┴р IГ═I ╞шLЙ(HНPLЙ■HЛНЇ LЙpHЛ╜Ї HЙХЎ HЙХЎ 1╥HЙЕЎ шLЛ╜Ї HЛ╜╚є LЙ■шLЙ шHЛ╜Ў HЕ tшDЛ│P┐DЛлPH╟ЕЎ H╟ЕЎ LЙЁI┴х H╟ЕЎ H┴р IГ═I ╞шLЙ(HНPHЛНЇ LЙpHЛ╡°є HЛ╜Ї HЙХЎ HЙХЎ 1╥HЙЕЎ шLЛ╜Ї HЛ╜°є LЙ■шLЙ шHЛ╜Ў HЕ tшLЛ╜╚є HЙ▀LЙ·LЙ■шє╡Фє LЙ■єЕxї H╕А LЛ╡Ї HЙЕЇ HННЇ H╕єY╞HНХЇ HЙЕЇ єY╡|ї LЙўєЕxї є╡|ї шLЙЎLЙ шLЙўш┐H╕╟Е¤ HЙЕ¤ H╟ЕЎ H╟ЕЎ H╟ЕЎ шHЛН¤ HНPLЙ■LЙўHЙХЎ HЙЛН¤ HЙХЎ 1╥ЙHHЛНЇ HЙЕЎ шLЛ╜Ї HЛ╜╚є LЙ■шLЙ шHЛ╜Ў HЕ tшHНГXLН╜а√ I╜А I╛HНН(Ї HНХ Ї HЙ╞LЙ LЙн(Ї LЙ╡ Ї HЙЕШє шLЙ╡0Ї HЛ╡°є LН╡р∙ HНН8Ї HНХ0Ї LЙўLЙн8Ї шLЙнHЇ HЛ╡Шє H╣LНн@· HЙН@Ї HНХ@Ї LЙяHННHЇ шHЛLЙЎLЙчH╟ЕЎ H╟ЕЎ fHn┬HЛХЇ LЙнЎ шHЛ╜Ї LЙ·LЙцшHЛ╡°є HННXЇ I║H╕А LЙХPЇ LНХА∙ HНХPЇ LЙ╫HЙЕXЇ LЙХ╪є шHЛ╜`■ HЛХ╪є ╣ HЛ╡Ї HЛ PHЛ╜╪є шLНЭ0 LЙ▀LЙЭрє шLНН╨■ LЙ╧LЙНшє шLНЕp■ LЙ╟LЙЕЁє шLНХ╨¤ LЙ╫LЙХає шHНХp¤ HЙ╫HЙХиє шHЛ╜╨є шLЙяшLЙўшLЙ шHЛ╡Шє HННhЇ LЙ H╕А HНХ`Ї I╗HЙЕhЇ LЙЭ`Ї шHЛ╡°є HННxЇ LЙўH╕А HНХpЇ HЙЕxЇ I╗LЙЭpЇ шHЛ╡Шє HННИЇ LЙяH╕А HНХАЇ HЙЕИЇ I╣LЙНАЇ шLЛHЛХЇ LЙЎLЙчH╟ЕЎ fIn└LЙнЎ H╟ЕЎ шHЛ╜Ї LЙ·LЙцшHЛ╡°є HЛ╜╪є H╕А I╗HННШЇ HНХРЇ HЙЕШЇ LЙЭРЇ шHЛ╜`■ HЛХ╪є ╣ HЛ╡Ї HЛ PHЛ╜╪є шHЛ╜рє шHЛ╜шє шHЛ╜Ёє шHЛ╜ає шHЛ╜иє шHЛ╜╨є шLЙяшLЙўшLЙ шHЛ╡°є H╣HЛ╜Ї HЙНаЇ HНХаЇ H╕А HННиЇ HЙЕиЇ шHЛНЇ A║┬LЙчHЛ╡°є HНХ░Ї LЙХЎ H╕А I╗HЙНЎ HНН╕Ї H╟ЕЎ HЙЕ╕Ї LЙЭ░Ї шHЛ╡Ї HЛ╜└є H╟Ерї H╟ЕЁї LЙешї шLЙчшHЛ╜Ї шHЛ╡°є HНН╚Ї LЙ H╕А HНХ└Ї I╗HЙЕ╚Ї LЙЭ└Ї шHЛ╡Шє HНН╪Ї LЙчH╕А HНХ╨Ї HЙЕ╪Ї I╗LЙЭ╨Ї шHЛLЙ■HЛ╜Ї H╟ЕЎ H╟ЕЎ fHn┬HЛХЇ LЙеЎ шHЛ╡°є HННшЇ LЙяH╕А HНХрЇ HЙЕшЇ I╗LЙЭрЇ шHЛ╜`■ HЛ╡Ї ╣ LЙъHЛ PLЙяшHЛ╜рє шHЛ╜шє шHЛ╜Ёє шLЙчшLЙ шHЛ╡°є HЛ╜Ї H╕А HНН°Ї HНХЁЇ I╣HЙЕ°Ї LЙНЁЇ шHЛНЇ A║┬LЙчHЛ╡°є HНХї LЙХЎ H╕А I╣HЙНЎ HННї H╟ЕЎ HЙЕї LЙНї шHЛ╡Ї HЛ╜└є H╟Ерї H╟ЕЁї LЙешї шLЙчшHЛ╜Ї шHЛ╡°є HННї LЙ H╕А HНХї I╣HЙЕї LЙНї шHЛ╡Шє HНН(ї LЙчH╕А HНХ ї HЙЕ(ї I╣LЙН ї шLЛHЛХЇ LЙ■H╟ЕЎ HЛ╜Ї LЙеЎ H╟ЕЎ fIn┬шHЛ╡°є HНН8ї LЙяH╕А HНХ0ї HЙЕ8ї I╣LЙН0ї шHЛ╜`■ HЛ╡Ї ╣ LЙъHЛ PLЙяшHЛ╜рє шHЛ╜шє шHЛ╜Ёє шLЙчшLЙ шєЕxї fя█єН|ї (╨єX╤єYєX┬єX╩єY┴.╪З▌єQ└H╛fяэHЛ╜╪є H╕А HЙ╡@ї HЛ╡°є HННHї єZшHНХ@ї HЙЕHї ЄнXє шHЛ╡°є HННXї H╕А HНХPї HЙЕXї H╕HЙЕPї HНЕ ∙ HЙ╟HЙЕШє шHЛХ╪є HЛ╡Шє LЙчшЄHЛ╜Ї LЙцшLЙяшHЛ╜`■ ╣ LЙъHЛ╡Ї HЛ PHЛ╜рє шHЛ╜шє шHЛ╜Ёє шHЛ╜ає шHЛ╜иє шHЛ╜╨є шHЛ╡Шє LЙъLЙчшHЛ╡╪є LЙъLЙ шHЛHЛ╜Ї LЙ·LЙцfHn└шLЙўшHЛ╜`■ ╣ LЙЄHЛ╡Ї HЛ PHЛ╜рє шHЛ╜шє шHЛ╜Ёє шHНЕp№ HЙ╟HЙЕpє шHНЕ№ HЙ╟HЙЕ`є шHНЕ░√ HЙ╟HЙЕhє шHЛ╜ає шHЛ╜иє шHЛ╜╨є шHЛ╡Ї HЛ╜└є H╟ЕЎ H╟ЕЎ LЙ╡Ў H╟Ерї H╟ЕЁї LЙ╡шї шLЙяшЄЕXє HЛ╜Ї LЙЎшHЛ╜`■ HЛХИє ╣ HЛ╡Ї HЛ PHЛ╜рє шHЛ╜шє шHЛ╜Ёє шLЙўшHЛ╜Шє шHЛ╜╪є шHЛ╡Иє HЙ▀шHЛ╡°є LЙяH╣А H║HЙНhї HННhї HЙХ`ї HНХ`ї шH╣А HЛХxє HЛ╡°є LЙ HЙНрї H╣HЙН└ї HЛН└є шLЛLЙ■LЙчfIn├шHЛ╜Ї LЙцшLЛ HЛХЇ LЙюHЛ╜Ї fIn┴шHЛ╜`■ HЛХ░є ╣ HЛ╡Ї HЛ PHЛ╜рє шHЛ╜шє шHЛ╜Ёє шHЛ╜ає шHЛ╜иє шHЛ╜╨є шLЙ шLЙяшHЛ╡░є HЛ╜Ї єЕxї є^Е|ї єZ└шHЛ╜`■ HЛХ░є ╣ HЛ╡Ї HЛ PHЛ╜рє шHЛ╜шє шHЛ╜Ёє шHЛ╡░є HЙ▀шLЛfяЎLЛХ╕є HЛЕИє HЛХxє LЙяєZ│$HЛ╡░є fIn├H╟ЕЎ H╟ЕЎ LЙХЎ LЙЭр∙ H╟Е°∙ H╟ЕЁ∙ H╟Еш∙ H╟Е└ї H╟Е╨ї HЙЕ╚ї Є╡╪є шLЙЄLЙюLЙ шЄЕ╪є LЙ■LЙчшLЛ╡Ї ЄLЙцLЙўшHЛ╜└є LЙЎшHЛ╡Ї HЛ╜└є шHЛ╜рє шHЛ╜шє шHЛ╜Ёє шHЛ╜ає шHЛ╜иє шHЛ╜╨є шHЛ╜pє шHЛ╜`є шHЛ╜hє шHН╜√ шHН╜░· шHН╜P· шЛГP┐H╟ЕЎ H╟ЕЎ ЙЕ¤ ЛГPH╟ЕЎ ЙЕ¤ ЙЕ¤ шHЛН¤ HНPLЙўHЛ╡╕є HЙХЎ HЙЛН¤ HЙХЎ 1╥ЙHHЛНЇ HЙЕЎ шLЛ╡Ї HЛ╜╕є LЙЎшLЙўшHЛ╜Ў HЕ tшHЛЕ╚є LЛ╡Ї H╟ЕЎ HЛХЇ HЛ╡╕є H╟ЕЎ HЙЕЎ HЛLЙўfHn└шHЛ╜`■ 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HЙHГ╞HЙ┤$XHЛФ$РHЙФ$░H9╞ДяHЙHГ╞HЙ┤$XHЛМ$ШHЙМ$░H9╞ДпHЙHГ╞HЙ┤$XHЛ|$(HНHЙъ1ЎH╟Д$pH╟Д$xH╟Д$АHЙЬ$░H╟Д$╕шHЛ┤$xHЛД$АLН-H╟Д$╕LЙм$░H9╞ДЎLЙ.HГ╞H╟F°HЙ┤$xHЙЬ$░H╟Д$╕H9╞ДЪHЙHГ╞H╟F°HЙ┤$xLЙм$░H╟Д$╕H9╞ДFHНFLЙ.H╟FHЙD$XHЙД$xLЛ┤$pLЛ|$XH╟Д$РH╟Д$ШH╟Д$аM)ўД╨H╕Ё I9╟З% LЙ шHЙ╟JН?HЙ╝$РHЙМ$аL9t$XtLЙ·LЙЎHЙL$XшHЛL$XLЛL$LЛD$LЙцHЙяHЙМ$ШHЛT$ HЛL$шH╕HЛ|$8HЙюHЙД$°HЛfHn└шHЛ╝$HНHЙД$░HЕ tшHЛ╝$ЁHЕ tшHЛ╝$╪HЕ tшHЛ╝$└HЕ tшHЙяшHЛ╝$РHЕ tшMЕЎtLЙўшHЛ╝$PHЕ tшHЛ╝$0HЕ tшHЛ╝$HЕ tшLЛt$HHЛ|$HЙъ1ЎH╟Д$H╟Д$H╟Д$ LЙ┤$░шHЛ┤$LЛД$ LЙ┤$░L9╞Д[LЙ6HГ╞HЙ┤$HЛD$PHЙД$░I9ЁДHЙHГ╞HЙ┤$HЛД$аHЛ|$HЙъ1ЎH╟Д$0H╟Д$8H╟Д$@HЙД$░шHЛФ$иHЛ┤$8HЛД$@HЙФ$░H9╞Д{HЙHГ╞HЙ┤$8HЛМ$░HЙМ$░H9╞Д;HЙHГ╞HЙ┤$8HЛД$╕HЛ|$HЙъ1ЎH╟Д$PH╟Д$XH╟Д$`HЙД$░шHЛФ$└HЛ┤$XHЛД$`HЙФ$░H9╞ДШHЙHГ╞HЙ┤$XHЛМ$╚HЙМ$░H9╞ДXHЙHГ╞HЙ┤$XHЛ|$(HЙъ1ЎH╟Д$pH╟Д$xH╟Д$АHЙЬ$░H╟Д$╕шHЛ┤$xLЛД$АLЙм$░H╟Д$╕L9╞ДнHН^LЙ.H╟FHЙЬ$xLЙм$░H╟Д$╕I9╪ДYLЙ+HГ├H╟C°HЙЬ$xLЛм$pIЙ▐H╟Д$РH╟Д$ШH╟Д$аM)юД║H╕Ё I9╞ЗLЙўшHЙ╟NН<7HЙ╝$РLЙ╝$аL9ыtLЙЄLЙюшLЛL$LЛD$LЙцHЙяHЛL$HЛT$ LЙ╝$ШшH╕HЛ|$8HЙюHЙД$°HЛfHn└шHЛ╝$HНHЙД$░HЕ tшHЛ╝$ЁHЕ tшHЛ╝$╪HЕ tшHЛ╝$└HЕ tшHЙяшHЛ╝$РHЕ tшMЕэtLЙяшHЛ╝$PHЕ tшHЛ╝$0HЕ tшHЛ╝$HЕ tшHЛ|$0шHЛ|$@шHЛ╝$╨шЛД$Е└uVHЛД$HdH+%(Е╝HБ─X[]A\A]A^A_├D1 щsї Р1 щG· fД1 щ]■ fДHЛ╝$╪шыЫРMЕЎЙ?шfРHЛ|$HЙъшщZє fDHЛ|$HЙъшщпє fDHЛ|$HЙъшщЇ fDHЛ|$(HЙъшHЛЬ$xщzЇ fDHЛ|$HЙъшHЛ┤$HЛД$ LЙ╝$░H9╞ЕДЎ f.ДHЛ|$HЙъшщwЎ fDHЛ|$HЙъшHЛ┤$HЛД$ щЎ fDHЛ|$(HЙъшHЛД$xHЙD$Xщ╖° РHЛ|$(HЙъшHЛ┤$xHЛД$Ащ[° fDHЛ|$(HЙъшHЛ┤$xHЛД$Ащ ў fDHЛ|$HЙъшщNў fDHЛ|$HЙъшHЛ┤$XHЛД$`щ■Ў fDHЛ|$HЙъшHЛ┤$XHЛД$`щоЎ fDHЛ|$HЙъшщЎ fDHЛ|$HЙъшHЛ┤$8HЛД$@щ╤ї fDHЛ|$HЙъшHЛ┤$8HЛД$@щДї fDHЛ|$(HЙъLЙ╞шHЛЬ$xщб√ HЛ|$(HЙъшHЛЬ$xLЛД$АщH√ fDHЛ|$HЙъшще· fDHЛ|$HЙъшHЛ┤$XHЛД$`щU· fDHЛ|$HЙъшщ┬∙ fDHЛ|$HЙъшHЛ┤$8HЛД$@щr∙ fDHЛ|$HЙъLЙ╞шщ▄° HЛ|$HЙъшHЛ┤$LЛД$ щТ° fDMЕ yшfDшшMЕЎyшfDшшє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ┼щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щє·HЙ├щ ь_И─ ■-▓┬-Ъ ╞.З║.Їо.яав.тК.НЦ.╘ц-Ф┌-─Ъ/Гж/┘ТО/└▓/ы╬-▀ъ.ўЎ.Ъ ╥.┴!╨▐.┌#В/Е$Є-┘&в.ш&╞.А'║.Ш'о.░'в.╨'U┌-╚(MО/╕)Eж/а*EЪ/Л+"▐.╨+╥.Р,Ў.╙,ъ.Н-О/Ш-в.а-О/н-▐. а!I0.empty() && I0.channels() == 1./modules/video/src/variational_refinement.cpp!I1.empty() && I1.channels() == 1(I0.depth() == CV_8U && I1.depth() == CV_8U) || (I0.depth() == CV_32F && I1.depth() == CV_32F)!flow_u.empty() && flow_u.depth() == CV_32F && flow_u.channels() == 1!flow_v.empty() && flow_v.depth() == CV_32F && flow_v.channels() == 1calcUVI0.sameSize(I1)I0.sameSize(flow_u)flow_u.sameSize(flow_v)HЛ╝$HНД$H9╟tшГ╝$╚t HЛ╝$ишHЙяшHЛ╝$HНД$H9╟t╠шы┼HЛ╝$HНД$H9╟t░шыйHЛ╝$L9яtЬшыХHЛ╝$HНД$H9╟tАшщv HЛ╝$HНД$H9╟Д] шщS HЛ╝$HНД$H9╟Д: шщ0 HЛ╝$L9яД шщ LЙчшГ╝$╪t HЛ|$PшHЛ╝$РHЙ▌шHЛ╝$Ишщ╫■ HЙяLЙд$ЁшГ╝$шt░HЛ|$ шыдHЙяLЙд$ЁшыТHНHЙяHЙД$Ёшщv є·AWIЙ AVIЙЎHН5AUMЙ┼ATIЙ╠UHЙ╒SHБьxdHЛ%(HЙД$h1└HНД$└HЙ╟HЙД$ишLЙўшД└Е╛ LЙўшГ°ЕюHЙяшД└ЕЮ╛ HЙяшГ°ЕИHЙюLЙўшД└Д5╛ LЙўшЕ└Дe╛ LЙўшГ°Ев╛ HЙяшГ°ЕМLЙчшД└Еф╛ LЙчшГ°Е╬╛ LЙчшГ°Е╕LЙяшД└ЕЇ╛ LЙяшГ°Е▐╛ LЙяшГ°Е╚LЙцLЙўшД└Д)LЙюLЙчшД└ДшLЙўЙ├ш=Е└ HНД$@IЛvHЙ╟HЙД$ИшHЙяш=Еl HНД$аHЛuHЙ╟HЙД$Рш╛ LЙчш╛ LЙяHЙД$ШшHЛм$ШIЙ└LЙ IЙ╞HЛФ$РHЛ┤$ИHЙД$аHЙщшMНпИHЙъLЙ LЙюLЙl$(шMНзXLЙЄLЙ 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cv::VariationalRefinementImpl::calcUV(cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::InputOutputArray)virtual void cv::VariationalRefinementImpl::calc(cv::InputArray, cv::InputArray, cv::InputOutputArray)virtual void cv::VariationalRefinementImpl::RedBlackSOR_ParBody::operator()(const cv::Range&) constvirtual void cv::VariationalRefinementImpl::ComputeSmoothnessTermVertPass_ParBody::operator()(const cv::Range&) constvirtual void cv::VariationalRefinementImpl::ComputeSmoothnessTermHorPass_ParBody::operator()(const cv::Range&) constvirtual void cv::VariationalRefinementImpl::ComputeDataTerm_ParBody::operator()(const cv::Range&) constvoid cv::VariationalRefinementImpl::prepareBuffers(cv::Mat&, cv::Mat&, cv::Mat&, cv::Mat&)void cv::VariationalRefinementImpl::warpImage(cv::Mat&, cv::Mat&, cv::Mat&, cv::Mat&)virtual void cv::VariationalRefinementImpl::ParallelOp_ParBody::operator()(const cv::Range&) constvoid cv::VariationalRefinementImpl::RedBlackBuffer::release()void cv::VariationalRefinementImpl::RedBlackBuffer::create(cv::Size)cv::VariationalRefinementImpl::RedBlackBuffer::RedBlackBuffer()void cv::VariationalRefinementImpl::updateRepeatedBorders(cv::VariationalRefinementImpl::RedBlackBuffer&)void cv::VariationalRefinementImpl::mergeCheckerboard(cv::Mat&, cv::VariationalRefinementImpl::RedBlackBuffer&)void cv::VariationalRefinementImpl::splitCheckerboard(cv::VariationalRefinementImpl::RedBlackBuffer&, cv::Mat&)cv::VariationalRefinementImpl::VariationalRefinementImpl()void cv::VariationalRefinementImpl::subtractOp(void*, void*, void*)void cv::VariationalRefinementImpl::averageOp(void*, void*, void*)void cv::VariationalRefinementImpl::gradVertAndSplitOp(void*, void*, void*)void cv::VariationalRefinementImpl::gradHorizAndSplitOp(void*, void*, void*)▒SOR_iterationfixedPoint_iterationаПp^ъМцE╟┤мЬКДW/ы┘ЬЦПИр?0CЁ?Ё┐?А GNU└zRxР0DXlАФи╝ ╨ ф ° 4 H \zPLRxЫРP$QFПBОE НB(МA0ЖA8ГQа╡ 8A0A(B BBBGDx█FОBНL МA(ЖD0ГDPЦ 0A(A BBBE └PГЖМНОP d xLЖnФEЖL░ ─╪ LЖOЇ LЖO$8 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i > 0; i >>= 1) { if(tid < i) { smem1[tid] += smem1[tid + i]; smem2[tid] += smem2[tid + i]; smem3[tid] += smem3[tid + i]; } barrier(CLK_LOCAL_MEM_FENCE); } } inline void reduce2(float val1, float val2, __local float* smem1, __local float* smem2, int tid) { smem1[tid] = val1; smem2[tid] = val2; barrier(CLK_LOCAL_MEM_FENCE); for(int i = BUFFER2; i > 0; i >>= 1) { if(tid < i) { smem1[tid] += smem1[tid + i]; smem2[tid] += smem2[tid + i]; } barrier(CLK_LOCAL_MEM_FENCE); } } inline void reduce1(float val1, __local float* smem1, int tid) { smem1[tid] = val1; barrier(CLK_LOCAL_MEM_FENCE); for(int i = BUFFER2; i > 0; i >>= 1) { if(tid < i) { smem1[tid] += smem1[tid + i]; } barrier(CLK_LOCAL_MEM_FENCE); } } #else inline void reduce3(float val1, float val2, float val3, __local float* smem1, __local float* smem2, __local float* smem3, int tid) { smem1[tid] = val1; smem2[tid] = val2; smem3[tid] = val3; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 32) { smem1[tid] += smem1[tid + 32]; smem2[tid] += smem2[tid + 32]; smem3[tid] += smem3[tid + 32]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) { smem1[tid] += smem1[tid + 16]; smem2[tid] += smem2[tid + 16]; smem3[tid] += smem3[tid + 16]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 8) { smem1[tid] += smem1[tid + 8]; smem2[tid] += smem2[tid + 8]; smem3[tid] += smem3[tid + 8]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 4) { smem1[tid] += smem1[tid + 4]; smem2[tid] += smem2[tid + 4]; smem3[tid] += smem3[tid + 4]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid == 0) { smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]); smem2[0] = (smem2[0] + smem2[1]) + (smem2[2] + smem2[3]); smem3[0] = (smem3[0] + smem3[1]) + (smem3[2] + smem3[3]); } barrier(CLK_LOCAL_MEM_FENCE); } inline void reduce2(float val1, float val2, __local float* smem1, __local float* smem2, int tid) { smem1[tid] = val1; smem2[tid] = val2; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 32) { smem1[tid] += smem1[tid + 32]; smem2[tid] += smem2[tid + 32]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) { smem1[tid] += smem1[tid + 16]; smem2[tid] += smem2[tid + 16]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 8) { smem1[tid] += smem1[tid + 8]; smem2[tid] += smem2[tid + 8]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 4) { smem1[tid] += smem1[tid + 4]; smem2[tid] += smem2[tid + 4]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid == 0) { smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]); smem2[0] = (smem2[0] + smem2[1]) + (smem2[2] + smem2[3]); } barrier(CLK_LOCAL_MEM_FENCE); } inline void reduce1(float val1, __local float* smem1, int tid) { smem1[tid] = val1; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 32) { smem1[tid] += smem1[tid + 32]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) { smem1[tid] += smem1[tid + 16]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 8) { smem1[tid] += smem1[tid + 8]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 4) { smem1[tid] += smem1[tid + 4]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid == 0) { smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]); } barrier(CLK_LOCAL_MEM_FENCE); } #endif #define SCALE (1.0f / (1 << 20)) #define THRESHOLD 0.01f __constant sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_LINEAR; #define VAL(_y,_x,_yy,_xx) (IPatchLocal[mad24(((_y) + (_yy)), LM_W, ((_x) + (_xx)))]) inline void SetPatch(local float* IPatchLocal, int TileY, int TileX, float* Pch, float* Dx, float* Dy, float* A11, float* A12, float* A22, float w) { int xid=get_local_id(0); int yid=get_local_id(1); int xBase = mad24(TileX, LSx, (xid + 1)); int yBase = mad24(TileY, LSy, (yid + 1)); *Pch = VAL(yBase,xBase,0,0); *Dx = mad((VAL(yBase,xBase,-1,1) + VAL(yBase,xBase,+1,1) - VAL(yBase,xBase,-1,-1) - VAL(yBase,xBase,+1,-1)), 3.0f, (VAL(yBase,xBase,0,1) - VAL(yBase,xBase,0,-1)) * 10.0f) * w; *Dy = mad((VAL(yBase,xBase,1,-1) + VAL(yBase,xBase,1,+1) - VAL(yBase,xBase,-1,-1) - VAL(yBase,xBase,-1,+1)), 3.0f, (VAL(yBase,xBase,1,0) - VAL(yBase,xBase,-1,0)) * 10.0f) * w; *A11 = mad(*Dx, *Dx, *A11); *A12 = mad(*Dx, *Dy, *A12); *A22 = mad(*Dy, *Dy, *A22); } #undef VAL inline void GetPatch(image2d_t J, float x, float y, float* Pch, float* Dx, float* Dy, float* b1, float* b2) { float diff = read_imagef(J, sampler, (float2)(x,y)).x-*Pch; *b1 = mad(diff, *Dx, *b1); *b2 = mad(diff, *Dy, *b2); } inline void GetError(image2d_t J, const float x, const float y, const float* Pch, float* errval, float w) { float diff = ((((read_imagef(J, sampler, (float2)(x,y)).x * 16384) + 256) / 512) - (((*Pch * 16384) + 256) /512)) * w; *errval += fabs(diff); } #define READI(_y,_x) IPatchLocal[mad24(mad24((_y), LSy, yid), LM_W, mad24((_x), LSx, xid))] = read_imagef(I, sampler, (float2)(mad((float)(_x), (float)LSx, Point.x + xid - 0.5f), mad((float)(_y), (float)LSy, Point.y + yid - 0.5f))).x; void ReadPatchIToLocalMem(image2d_t I, float2 Point, local float* IPatchLocal) { int xid=get_local_id(0); int yid=get_local_id(1); READI(0,0);READI(0,1);READI(0,2); READI(1,0);READI(1,1);READI(1,2); READI(2,0);READI(2,1);READI(2,2); if(xid<2) { READI(0,3); READI(1,3); READI(2,3); } if(yid<2) { READI(3,0);READI(3,1);READI(3,2); } if(yid<2 && xid<2) { READI(3,3); } barrier(CLK_LOCAL_MEM_FENCE); } #undef READI __attribute__((reqd_work_group_size(LSx, LSy, 1))) __kernel void lkSparse(image2d_t I, image2d_t J, __global const float2* prevPts, __global float2* nextPts, __global uchar* status, __global float* err, const int level, const int rows, const int cols, int PATCH_X, int PATCH_Y, int c_winSize_x, int c_winSize_y, int c_iters, char calcErr) { __local float smem1[BUFFER]; __local float smem2[BUFFER]; __local float smem3[BUFFER]; int xid=get_local_id(0); int yid=get_local_id(1); int gid=get_group_id(0); int xsize=get_local_size(0); int ysize=get_local_size(1); int k; #ifdef CPU float wx0 = 1.0f; float wy0 = 1.0f; int xBase = mad24(xsize, 2, xid); int yBase = mad24(ysize, 2, yid); float wx1 = (xBase < c_winSize_x) ? 1 : 0; float wy1 = (yBase < c_winSize_y) ? 1 : 0; #else #if WSX == 1 float wx0 = 1.0f; int xBase = mad24(xsize, 2, xid); float wx1 = (xBase < c_winSize_x) ? 1 : 0; #else int xBase = mad24(xsize, 1, xid); float wx0 = (xBase < c_winSize_x) ? 1 : 0; float wx1 = 0.0f; #endif #if WSY == 1 float wy0 = 1.0f; int yBase = mad24(ysize, 2, yid); float wy1 = (yBase < c_winSize_y) ? 1 : 0; #else int yBase = mad24(ysize, 1, yid); float wy0 = (yBase < c_winSize_y) ? 1 : 0; float wy1 = 0.0f; #endif #endif float2 c_halfWin = (float2)((c_winSize_x - 1)>>1, (c_winSize_y - 1)>>1); const int tid = mad24(yid, xsize, xid); float2 prevPt = prevPts[gid] / (float2)(1 << level); if (prevPt.x < 0 || prevPt.x >= cols || prevPt.y < 0 || prevPt.y >= rows) { if (tid == 0 && level == 0) { status[gid] = 0; } return; } prevPt -= c_halfWin; float A11 = 0; float A12 = 0; float A22 = 0; float I_patch[GRIDSIZE][GRIDSIZE]; float dIdx_patch[GRIDSIZE][GRIDSIZE]; float dIdy_patch[GRIDSIZE][GRIDSIZE]; local float IPatchLocal[LM_W*LM_H]; ReadPatchIToLocalMem(I,prevPt,IPatchLocal); { SetPatch(IPatchLocal, 0, 0, &I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0], &A11, &A12, &A22,1); SetPatch(IPatchLocal, 0, 1, &I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1], &A11, &A12, &A22,wx0); SetPatch(IPatchLocal, 0, 2, &I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2], &A11, &A12, &A22,wx1); } { SetPatch(IPatchLocal, 1, 0, &I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0], &A11, &A12, &A22,wy0); SetPatch(IPatchLocal, 1,1, &I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1], &A11, &A12, &A22,wx0*wy0); SetPatch(IPatchLocal, 1,2, &I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2], &A11, &A12, &A22,wx1*wy0); } { SetPatch(IPatchLocal, 2,0, &I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0], &A11, &A12, &A22,wy1); SetPatch(IPatchLocal, 2,1, &I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1], &A11, &A12, &A22,wx0*wy1); SetPatch(IPatchLocal, 2,2, &I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2], &A11, &A12, &A22,wx1*wy1); } reduce3(A11, A12, A22, smem1, smem2, smem3, tid); A11 = smem1[0]; A12 = smem2[0]; A22 = smem3[0]; barrier(CLK_LOCAL_MEM_FENCE); float D = mad(A11, A22, - A12 * A12); if (D < 1.192092896e-07f) { if (tid == 0 && level == 0) status[gid] = 0; return; } A11 /= D; A12 /= D; A22 /= D; prevPt = mad(nextPts[gid], 2.0f, - c_halfWin); float2 offset0 = (float2)(xid + 0.5f, yid + 0.5f); float2 offset1 = (float2)(xsize, ysize); float2 loc0 = prevPt + offset0; float2 loc1 = loc0 + offset1; float2 loc2 = loc1 + offset1; for (k = 0; k < c_iters; ++k) { if (prevPt.x < -c_halfWin.x || prevPt.x >= cols || prevPt.y < -c_halfWin.y || prevPt.y >= rows) { if (tid == 0 && level == 0) status[gid] = 0; break; } float b1 = 0; float b2 = 0; { GetPatch(J, loc0.x, loc0.y, &I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0], &b1, &b2); GetPatch(J, loc1.x, loc0.y, &I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1], &b1, &b2); GetPatch(J, loc2.x, loc0.y, &I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2], &b1, &b2); } { GetPatch(J, loc0.x, loc1.y, &I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0], &b1, &b2); GetPatch(J, loc1.x, loc1.y, &I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1], &b1, &b2); GetPatch(J, loc2.x, loc1.y, &I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2], &b1, &b2); } { GetPatch(J, loc0.x, loc2.y, &I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0], &b1, &b2); GetPatch(J, loc1.x, loc2.y, &I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1], &b1, &b2); GetPatch(J, loc2.x, loc2.y, &I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2], &b1, &b2); } reduce2(b1, b2, smem1, smem2, tid); b1 = smem1[0]; b2 = smem2[0]; barrier(CLK_LOCAL_MEM_FENCE); float2 delta; delta.x = mad(A12, b2, - A22 * b1) * 32.0f; delta.y = mad(A12, b1, - A11 * b2) * 32.0f; prevPt += delta; loc0 += delta; loc1 += delta; loc2 += delta; if (fabs(delta.x) < THRESHOLD && fabs(delta.y) < THRESHOLD) break; } D = 0.0f; if (calcErr) { { GetError(J, loc0.x, loc0.y, &I_patch[0][0], &D, 1); GetError(J, loc1.x, loc0.y, &I_patch[0][1], &D, wx0); } { GetError(J, loc0.x, loc1.y, &I_patch[1][0], &D, wy0); GetError(J, loc1.x, loc1.y, &I_patch[1][1], &D, wx0*wy0); } if(xBase < c_winSize_x) { GetError(J, loc2.x, loc0.y, &I_patch[0][2], &D, wx1); GetError(J, loc2.x, loc1.y, &I_patch[1][2], &D, wx1*wy0); } if(yBase < c_winSize_y) { GetError(J, loc0.x, loc2.y, &I_patch[2][0], &D, wy1); GetError(J, loc1.x, loc2.y, &I_patch[2][1], &D, wx0*wy1); if(xBase < c_winSize_x) GetError(J, loc2.x, loc2.y, &I_patch[2][2], &D, wx1*wy1); } reduce1(D, smem1, tid); } if (tid == 0) { prevPt += c_halfWin; nextPts[gid] = prevPt; if (calcErr) err[gid] = smem1[0] / (float)(32 * c_winSize_x * c_winSize_y); } } fa578a4fdcd31c3e32eedab3e323ac05#define tx (int)get_local_id(0) #define ty get_local_id(1) #define bx get_group_id(0) #define bdx (int)get_local_size(0) #define BORDER_SIZE 5 #define MAX_KSIZE_HALF 100 #ifndef polyN #define polyN 5 #endif #if USE_DOUBLE #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #define TYPE double #define VECTYPE double4 #else #define TYPE float #define VECTYPE float4 #endif __kernel void polynomialExpansion(__global __const float * src, int srcStep, __global float * dst, int dstStep, const int rows, const int cols, __global __const float * c_g, __global __const float * c_xg, __global __const float * c_xxg, __local float * smem, const VECTYPE ig) { const int y = get_global_id(1); const int x = bx * (bdx - 2*polyN) + tx - polyN; int xWarped; __local float *row = smem + tx; if (y < rows && y >= 0) { xWarped = min(max(x, 0), cols - 1); row[0] = src[mad24(y, srcStep, xWarped)] * c_g[0]; row[bdx] = 0.f; row[2*bdx] = 0.f; #pragma unroll for (int k = 1; k <= polyN; ++k) { float t0 = src[mad24(max(y - k, 0), srcStep, xWarped)]; float t1 = src[mad24(min(y + k, rows - 1), srcStep, xWarped)]; row[0] += c_g[k] * (t0 + t1); row[bdx] += c_xg[k] * (t1 - t0); row[2*bdx] += c_xxg[k] * (t0 + t1); } } barrier(CLK_LOCAL_MEM_FENCE); if (y < rows && y >= 0 && tx >= polyN && tx + polyN < bdx && x < cols) { TYPE b1 = c_g[0] * row[0]; TYPE b3 = c_g[0] * row[bdx]; TYPE b5 = c_g[0] * row[2*bdx]; TYPE b2 = 0, b4 = 0, b6 = 0; #pragma unroll for (int k = 1; k <= polyN; ++k) { b1 += (row[k] + row[-k]) * c_g[k]; b4 += (row[k] + row[-k]) * c_xxg[k]; b2 += (row[k] - row[-k]) * c_xg[k]; b3 += (row[k + bdx] + row[-k + bdx]) * c_g[k]; b6 += (row[k + bdx] - row[-k + bdx]) * c_xg[k]; b5 += (row[k + 2*bdx] + row[-k + 2*bdx]) * c_g[k]; } dst[mad24(y, dstStep, xWarped)] = (float)(b3*ig.s0); dst[mad24(rows + y, dstStep, xWarped)] = (float)(b2*ig.s0); dst[mad24(2*rows + y, dstStep, xWarped)] = (float)(b1*ig.s1 + b5*ig.s2); dst[mad24(3*rows + y, dstStep, xWarped)] = (float)(b1*ig.s1 + b4*ig.s2); dst[mad24(4*rows + y, dstStep, xWarped)] = (float)(b6*ig.s3); } } inline int idx_row_low(const int y, const int last_row) { return abs(y) % (last_row + 1); } inline int idx_row_high(const int y, const int last_row) { return abs(last_row - abs(last_row - y)) % (last_row + 1); } inline int idx_col_low(const int x, const int last_col) { return abs(x) % (last_col + 1); } inline int idx_col_high(const int x, const int last_col) { return abs(last_col - abs(last_col - x)) % (last_col + 1); } inline int idx_col(const int x, const int last_col) { return idx_col_low(idx_col_high(x, last_col), last_col); } __kernel void gaussianBlur(__global const float * src, int srcStep, __global float * dst, int dstStep, const int rows, const int cols, __global const float * c_gKer, const int ksizeHalf, __local float * smem) { const int y = get_global_id(1); const int x = get_global_id(0); __local float *row = smem + ty * (bdx + 2*ksizeHalf); if (y < rows) { for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx) { int xExt = (int)(bx * bdx) + i - ksizeHalf; xExt = idx_col(xExt, cols - 1); row[i] = src[mad24(y, srcStep, xExt)] * c_gKer[0]; for (int j = 1; j <= ksizeHalf; ++j) row[i] += (src[mad24(idx_row_low(y - j, rows - 1), srcStep, xExt)] + src[mad24(idx_row_high(y + j, rows - 1), srcStep, xExt)]) * c_gKer[j]; } } barrier(CLK_LOCAL_MEM_FENCE); if (y < rows && y >= 0 && x < cols && x >= 0) { row += tx + ksizeHalf; float res = row[0] * c_gKer[0]; for (int i = 1; i <= ksizeHalf; ++i) res += (row[-i] + row[i]) * c_gKer[i]; dst[mad24(y, dstStep, x)] = res; } } __kernel void gaussianBlur5(__global const float * src, int srcStep, __global float * dst, int dstStep, const int rows, const int cols, __global const float * c_gKer, const int ksizeHalf, __local float * smem) { const int y = get_global_id(1); const int x = get_global_id(0); const int smw = bdx + 2*ksizeHalf; __local volatile float *row = smem + 5 * ty * smw; if (y < rows) { for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx) { int xExt = (int)(bx * bdx) + i - ksizeHalf; xExt = idx_col(xExt, cols - 1); #pragma unroll for (int k = 0; k < 5; ++k) row[k*smw + i] = src[mad24(k*rows + y, srcStep, xExt)] * c_gKer[0]; for (int j = 1; j <= ksizeHalf; ++j) #pragma unroll for (int k = 0; k < 5; ++k) row[k*smw + i] += (src[mad24(k*rows + idx_row_low(y - j, rows - 1), srcStep, xExt)] + src[mad24(k*rows + idx_row_high(y + j, rows - 1), srcStep, xExt)]) * c_gKer[j]; } } barrier(CLK_LOCAL_MEM_FENCE); if (y < rows && y >= 0 && x < cols && x >= 0) { row += tx + ksizeHalf; float res[5]; #pragma unroll for (int k = 0; k < 5; ++k) res[k] = row[k*smw] * c_gKer[0]; for (int i = 1; i <= ksizeHalf; ++i) #pragma unroll for (int k = 0; k < 5; ++k) res[k] += (row[k*smw - i] + row[k*smw + i]) * c_gKer[i]; #pragma unroll for (int k = 0; k < 5; ++k) dst[mad24(k*rows + y, dstStep, x)] = res[k]; } } __constant float c_border[BORDER_SIZE + 1] = { 0.14f, 0.14f, 0.4472f, 0.4472f, 0.4472f, 1.f }; __kernel void updateMatrices(__global const float * flowx, int xStep, __global const float * flowy, int yStep, const int rows, const int cols, __global const float * R0, int R0Step, __global const float * R1, int R1Step, __global float * M, int mStep) { const int y = get_global_id(1); const int x = get_global_id(0); if (y < rows && y >= 0 && x < cols && x >= 0) { float dx = flowx[mad24(y, xStep, x)]; float dy = flowy[mad24(y, yStep, x)]; float fx = x + dx; float fy = y + dy; int x1 = convert_int(floor(fx)); int y1 = convert_int(floor(fy)); fx -= x1; fy -= y1; float r2, r3, r4, r5, r6; if (x1 >= 0 && y1 >= 0 && x1 < cols - 1 && y1 < rows - 1) { float a00 = (1.f - fx) * (1.f - fy); float a01 = fx * (1.f - fy); float a10 = (1.f - fx) * fy; float a11 = fx * fy; r2 = a00 * R1[mad24(y1, R1Step, x1)] + a01 * R1[mad24(y1, R1Step, x1 + 1)] + a10 * R1[mad24(y1 + 1, R1Step, x1)] + a11 * R1[mad24(y1 + 1, R1Step, x1 + 1)]; r3 = a00 * R1[mad24(rows + y1, R1Step, x1)] + a01 * R1[mad24(rows + y1, R1Step, x1 + 1)] + a10 * R1[mad24(rows + y1 + 1, R1Step, x1)] + a11 * R1[mad24(rows + y1 + 1, R1Step, x1 + 1)]; r4 = a00 * R1[mad24(2*rows + y1, R1Step, x1)] + a01 * R1[mad24(2*rows + y1, R1Step, x1 + 1)] + a10 * R1[mad24(2*rows + y1 + 1, R1Step, x1)] + a11 * R1[mad24(2*rows + y1 + 1, R1Step, x1 + 1)]; r5 = a00 * R1[mad24(3*rows + y1, R1Step, x1)] + a01 * R1[mad24(3*rows + y1, R1Step, x1 + 1)] + a10 * R1[mad24(3*rows + y1 + 1, R1Step, x1)] + a11 * R1[mad24(3*rows + y1 + 1, R1Step, x1 + 1)]; r6 = a00 * R1[mad24(4*rows + y1, R1Step, x1)] + a01 * R1[mad24(4*rows + y1, R1Step, x1 + 1)] + a10 * R1[mad24(4*rows + y1 + 1, R1Step, x1)] + a11 * R1[mad24(4*rows + y1 + 1, R1Step, x1 + 1)]; r4 = (R0[mad24(2*rows + y, R0Step, x)] + r4) * 0.5f; r5 = (R0[mad24(3*rows + y, R0Step, x)] + r5) * 0.5f; r6 = (R0[mad24(4*rows + y, R0Step, x)] + r6) * 0.25f; } else { r2 = r3 = 0.f; r4 = R0[mad24(2*rows + y, R0Step, x)]; r5 = R0[mad24(3*rows + y, R0Step, x)]; r6 = R0[mad24(4*rows + y, R0Step, x)] * 0.5f; } r2 = (R0[mad24(y, R0Step, x)] - r2) * 0.5f; r3 = (R0[mad24(rows + y, R0Step, x)] - r3) * 0.5f; r2 += r4*dy + r6*dx; r3 += r6*dy + r5*dx; float scale = c_border[min(x, BORDER_SIZE)] * c_border[min(y, BORDER_SIZE)] * c_border[min(cols - x - 1, BORDER_SIZE)] * c_border[min(rows - y - 1, BORDER_SIZE)]; r2 *= scale; r3 *= scale; r4 *= scale; r5 *= scale; r6 *= scale; M[mad24(y, mStep, x)] = r4*r4 + r6*r6; M[mad24(rows + y, mStep, x)] = (r4 + r5)*r6; M[mad24(2*rows + y, mStep, x)] = r5*r5 + r6*r6; M[mad24(3*rows + y, mStep, x)] = r4*r2 + r6*r3; M[mad24(4*rows + y, mStep, x)] = r6*r2 + r5*r3; } } __kernel void boxFilter5(__global const float * src, int srcStep, __global float * dst, int dstStep, const int rows, const int cols, const int ksizeHalf, __local float * smem) { const int y = get_global_id(1); const int x = get_global_id(0); const float boxAreaInv = 1.f / ((1 + 2*ksizeHalf) * (1 + 2*ksizeHalf)); const int smw = bdx + 2*ksizeHalf; __local float *row = smem + 5 * ty * smw; if (y < rows) { for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx) { int xExt = (int)(bx * bdx) + i - ksizeHalf; xExt = min(max(xExt, 0), cols - 1); #pragma unroll for (int k = 0; k < 5; ++k) row[k*smw + i] = src[mad24(k*rows + y, srcStep, xExt)]; for (int j = 1; j <= ksizeHalf; ++j) #pragma unroll for (int k = 0; k < 5; ++k) row[k*smw + i] += src[mad24(k*rows + max(y - j, 0), srcStep, xExt)] + src[mad24(k*rows + min(y + j, rows - 1), srcStep, xExt)]; } } barrier(CLK_LOCAL_MEM_FENCE); if (y < rows && y >= 0 && x < cols && x >= 0) { row += tx + ksizeHalf; float res[5]; #pragma unroll for (int k = 0; k < 5; ++k) res[k] = row[k*smw]; for (int i = 1; i <= ksizeHalf; ++i) #pragma unroll for (int k = 0; k < 5; ++k) res[k] += row[k*smw - i] + row[k*smw + i]; #pragma unroll for (int k = 0; k < 5; ++k) dst[mad24(k*rows + y, dstStep, x)] = res[k] * boxAreaInv; } } __kernel void updateFlow(__global const float * M, int mStep, __global float * flowx, int xStep, __global float * flowy, int yStep, const int rows, const int cols) { const int y = get_global_id(1); const int x = get_global_id(0); if (y < rows && y >= 0 && x < cols && x >= 0) { float g11 = M[mad24(y, mStep, x)]; float g12 = M[mad24(rows + y, mStep, x)]; float g22 = M[mad24(2*rows + y, mStep, x)]; float h1 = M[mad24(3*rows + y, mStep, x)]; float h2 = M[mad24(4*rows + y, mStep, x)]; float detInv = 1.f / (g11*g22 - g12*g12 + 1e-3f); flowx[mad24(y, xStep, x)] = (g11*h2 - g12*h1) * detInv; flowy[mad24(y, yStep, x)] = (g22*h1 - g12*h2) * detInv; } } 529300e6242f574f83d11a089cc120c0#define EPS 0.001f #define INF 1E+10F #define DIS_PATCH_SIZE_HALF (DIS_PATCH_SIZE / 2) #ifndef DIS_BORDER_SIZE __kernel void dis_precomputeStructureTensor_hor(__global const short *I0x, __global const short *I0y, int w, int h, int ws, __global float *I0xx_aux_ptr, __global float *I0yy_aux_ptr, __global float *I0xy_aux_ptr, __global float *I0x_aux_ptr, __global float *I0y_aux_ptr) { int i = get_global_id(0); if (i >= h) return; const __global short *x_row = I0x + i * w; const __global short *y_row = I0y + i * w; float sum_xx = 0.0f, sum_yy = 0.0f, sum_xy = 0.0f, sum_x = 0.0f, sum_y = 0.0f; float8 x_vec = convert_float8(vload8(0, x_row)); float8 y_vec = convert_float8(vload8(0, y_row)); sum_xx = dot(x_vec.lo, x_vec.lo) + dot(x_vec.hi, x_vec.hi); sum_yy = dot(y_vec.lo, y_vec.lo) + dot(y_vec.hi, y_vec.hi); sum_xy = dot(x_vec.lo, y_vec.lo) + dot(x_vec.hi, y_vec.hi); sum_x = dot(x_vec.lo, 1.0f) + dot(x_vec.hi, 1.0f); sum_y = dot(y_vec.lo, 1.0f) + dot(y_vec.hi, 1.0f); I0xx_aux_ptr[i * ws] = sum_xx; I0yy_aux_ptr[i * ws] = sum_yy; I0xy_aux_ptr[i * ws] = sum_xy; I0x_aux_ptr[i * ws] = sum_x; I0y_aux_ptr[i * ws] = sum_y; int js = 1; for (int j = DIS_PATCH_SIZE; j < w; j++) { short x_val1 = x_row[j]; short x_val2 = x_row[j - DIS_PATCH_SIZE]; short y_val1 = y_row[j]; short y_val2 = y_row[j - DIS_PATCH_SIZE]; sum_xx += (x_val1 * x_val1 - x_val2 * x_val2); sum_yy += (y_val1 * y_val1 - y_val2 * y_val2); sum_xy += (x_val1 * y_val1 - x_val2 * y_val2); sum_x += (x_val1 - x_val2); sum_y += (y_val1 - y_val2); if ((j - DIS_PATCH_SIZE + 1) % DIS_PATCH_STRIDE == 0) { int index = i * ws + js; I0xx_aux_ptr[index] = sum_xx; I0yy_aux_ptr[index] = sum_yy; I0xy_aux_ptr[index] = sum_xy; I0x_aux_ptr[index] = sum_x; I0y_aux_ptr[index] = sum_y; js++; } } } __kernel void dis_precomputeStructureTensor_ver(__global const float *I0xx_aux_ptr, __global const float *I0yy_aux_ptr, __global const float *I0xy_aux_ptr, __global const float *I0x_aux_ptr, __global const float *I0y_aux_ptr, int w, int h, int ws, __global float *I0xx_ptr, __global float *I0yy_ptr, __global float *I0xy_ptr, __global float *I0x_ptr, __global float *I0y_ptr) { int j = get_global_id(0); if (j >= ws) return; float sum_xx, sum_yy, sum_xy, sum_x, sum_y; sum_xx = sum_yy = sum_xy = sum_x = sum_y = 0.0f; for (int i = 0; i < DIS_PATCH_SIZE; i++) { sum_xx += I0xx_aux_ptr[i * ws + j]; sum_yy += I0yy_aux_ptr[i * ws + j]; sum_xy += I0xy_aux_ptr[i * ws + j]; sum_x += I0x_aux_ptr[i * ws + j]; sum_y += I0y_aux_ptr[i * ws + j]; } I0xx_ptr[j] = sum_xx; I0yy_ptr[j] = sum_yy; I0xy_ptr[j] = sum_xy; I0x_ptr[j] = sum_x; I0y_ptr[j] = sum_y; int is = 1; for (int i = DIS_PATCH_SIZE; i < h; i++) { sum_xx += (I0xx_aux_ptr[i * ws + j] - I0xx_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]); sum_yy += (I0yy_aux_ptr[i * ws + j] - I0yy_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]); sum_xy += (I0xy_aux_ptr[i * ws + j] - I0xy_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]); sum_x += (I0x_aux_ptr[i * ws + j] - I0x_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]); sum_y += (I0y_aux_ptr[i * ws + j] - I0y_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]); if ((i - DIS_PATCH_SIZE + 1) % DIS_PATCH_STRIDE == 0) { I0xx_ptr[is * ws + j] = sum_xx; I0yy_ptr[is * ws + j] = sum_yy; I0xy_ptr[is * ws + j] = sum_xy; I0x_ptr[is * ws + j] = sum_x; I0y_ptr[is * ws + j] = sum_y; is++; } } } __kernel void dis_densification(__global const float2 *S_ptr, __global const uchar *i0, __global const uchar *i1, int w, int h, int ws, __global float2 *U_ptr) { int x = get_global_id(0); int y = get_global_id(1); int i, j; if (x >= w || y >= h) return; int start_is, end_is; int start_js, end_js; end_is = min(y / DIS_PATCH_STRIDE, (h - DIS_PATCH_SIZE) / DIS_PATCH_STRIDE); start_is = max(0, y - DIS_PATCH_SIZE + DIS_PATCH_STRIDE) / DIS_PATCH_STRIDE; start_is = min(start_is, end_is); end_js = min(x / DIS_PATCH_STRIDE, (w - DIS_PATCH_SIZE) / DIS_PATCH_STRIDE); start_js = max(0, x - DIS_PATCH_SIZE + DIS_PATCH_STRIDE) / DIS_PATCH_STRIDE; start_js = min(start_js, end_js); float sum_coef = 0.0f; float2 sum_U = (float2)(0.0f, 0.0f); int i_l, i_u; int j_l, j_u; float i_m, j_m, diff; i = y; j = x; for (int is = start_is; is <= end_is; is++) for (int js = start_js; js <= end_js; js++) { float2 s_val = S_ptr[is * ws + js]; uchar2 i1_vec1, i1_vec2; j_m = min(max(j + s_val.x, 0.0f), w - 1.0f - EPS); i_m = min(max(i + s_val.y, 0.0f), h - 1.0f - EPS); j_l = (int)j_m; j_u = j_l + 1; i_l = (int)i_m; i_u = i_l + 1; i1_vec1 = vload2(0, i1 + i_u * w + j_l); i1_vec2 = vload2(0, i1 + i_l * w + j_l); diff = (j_m - j_l) * (i_m - i_l) * i1_vec1.y + (j_u - j_m) * (i_m - i_l) * i1_vec1.x + (j_m - j_l) * (i_u - i_m) * i1_vec2.y + (j_u - j_m) * (i_u - i_m) * i1_vec2.x - i0[i * w + j]; float coef = 1.0f / max(1.0f, fabs(diff)); sum_U += coef * s_val; sum_coef += coef; } float inv_sum_coef = 1.0 / sum_coef; U_ptr[i * w + j] = sum_U * inv_sum_coef; } #else #define INIT_BILINEAR_WEIGHTS(Ux, Uy) \ i_I1 = clamp(i + Uy + DIS_BORDER_SIZE, i_lower_limit, i_upper_limit); \ j_I1 = clamp(j + Ux + DIS_BORDER_SIZE, j_lower_limit, j_upper_limit); \ { \ float di = i_I1 - floor(i_I1); \ float dj = j_I1 - floor(j_I1); \ w11 = di * dj; \ w10 = di * (1 - dj); \ w01 = (1 - di) * dj; \ w00 = (1 - di) * (1 - dj); \ } float computeSSDMeanNorm(const __global uchar *I0_ptr, const __global uchar *I1_ptr, int I0_stride, int I1_stride, float w00, float w01, float w10, float w11, int i #ifndef CV_USE_SUBGROUPS , __local float2 *smem #endif ) { float sum_diff = 0.0f, sum_diff_sq = 0.0f; int n = DIS_PATCH_SIZE * DIS_PATCH_SIZE; uchar8 I1_vec1, I1_vec2, I0_vec; uchar I1_val1, I1_val2; I0_vec = vload8(0, I0_ptr + i * I0_stride); I1_vec1 = vload8(0, I1_ptr + i * I1_stride); I1_vec2 = vload8(0, I1_ptr + (i + 1) * I1_stride); I1_val1 = I1_ptr[i * I1_stride + 8]; I1_val2 = I1_ptr[(i + 1) * I1_stride + 8]; float8 vec = w00 * convert_float8(I1_vec1) + w01 * convert_float8((uchar8)(I1_vec1.s123, I1_vec1.s4567, I1_val1)) + w10 * convert_float8(I1_vec2) + w11 * convert_float8((uchar8)(I1_vec2.s123, I1_vec2.s4567, I1_val2)) - convert_float8(I0_vec); sum_diff = (dot(vec.lo, 1.0) + dot(vec.hi, 1.0)); sum_diff_sq = (dot(vec.lo, vec.lo) + dot(vec.hi, vec.hi)); #ifdef CV_USE_SUBGROUPS sum_diff = sub_group_reduce_add(sum_diff); sum_diff_sq = sub_group_reduce_add(sum_diff_sq); #else barrier(CLK_LOCAL_MEM_FENCE); smem[i] = (float2)(sum_diff, sum_diff_sq); barrier(CLK_LOCAL_MEM_FENCE); if (i < 4) smem[i] += smem[i + 4]; barrier(CLK_LOCAL_MEM_FENCE); if (i < 2) smem[i] += smem[i + 2]; barrier(CLK_LOCAL_MEM_FENCE); if (i == 0) smem[0] += smem[1]; barrier(CLK_LOCAL_MEM_FENCE); float2 reduce_add_result = smem[0]; sum_diff = reduce_add_result.x; sum_diff_sq = reduce_add_result.y; #endif return sum_diff_sq - sum_diff * sum_diff / n; } __attribute__((reqd_work_group_size(8, 1, 1))) __kernel void dis_patch_inverse_search_fwd_1(__global const float2 *U_ptr, __global const uchar *I0_ptr, __global const uchar *I1_ptr, int w, int h, int ws, int hs, __global float2 *S_ptr) { int id = get_global_id(0); int is = get_group_id(0); int i = is * DIS_PATCH_STRIDE; int j = 0; int w_ext = w + 2 * DIS_BORDER_SIZE; float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f; float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f; float2 prev_U = U_ptr[(i + DIS_PATCH_SIZE_HALF) * w + j + DIS_PATCH_SIZE_HALF]; S_ptr[is * ws] = prev_U; j += DIS_PATCH_STRIDE; #ifdef CV_USE_SUBGROUPS int sid = get_sub_group_local_id(); #define EXTRA_ARGS_computeSSDMeanNorm sid #else __local float2 smem[8]; int sid = get_local_id(0); #define EXTRA_ARGS_computeSSDMeanNorm sid, smem #endif for (int js = 1; js < ws; js++, j += DIS_PATCH_STRIDE) { float2 U = U_ptr[(i + DIS_PATCH_SIZE_HALF) * w + j + DIS_PATCH_SIZE_HALF]; float i_I1, j_I1, w00, w01, w10, w11; INIT_BILINEAR_WEIGHTS(U.x, U.y); float min_SSD = computeSSDMeanNorm( I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1, w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm); INIT_BILINEAR_WEIGHTS(prev_U.x, prev_U.y); float cur_SSD = computeSSDMeanNorm( I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1, w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm); prev_U = (cur_SSD < min_SSD) ? prev_U : U; S_ptr[is * ws + js] = prev_U; } #undef EXTRA_ARGS_computeSSDMeanNorm } #endif float4 processPatchMeanNorm(const __global uchar *I0_ptr, const __global uchar *I1_ptr, const __global short *I0x_ptr, const __global short *I0y_ptr, int I0_stride, int I1_stride, float w00, float w01, float w10, float w11, float x_grad_sum, float y_grad_sum) { const float inv_n = 1.0f / (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE); float sum_diff = 0.0, sum_diff_sq = 0.0; float sum_I0x_mul = 0.0, sum_I0y_mul = 0.0; uchar8 I1_vec1; uchar8 I1_vec2 = vload8(0, I1_ptr); uchar I1_val1; uchar I1_val2 = I1_ptr[DIS_PATCH_SIZE]; for (int i = 0; i < 8; i++) { uchar8 I0_vec = vload8(0, I0_ptr + i * I0_stride); I1_vec1 = I1_vec2; I1_vec2 = vload8(0, I1_ptr + (i + 1) * I1_stride); I1_val1 = I1_val2; I1_val2 = I1_ptr[(i + 1) * I1_stride + DIS_PATCH_SIZE]; float8 vec = w00 * convert_float8(I1_vec1) + w01 * convert_float8((uchar8)(I1_vec1.s123, I1_vec1.s4567, I1_val1)) + w10 * convert_float8(I1_vec2) + w11 * convert_float8((uchar8)(I1_vec2.s123, I1_vec2.s4567, I1_val2)) - convert_float8(I0_vec); sum_diff += (dot(vec.lo, 1.0) + dot(vec.hi, 1.0)); sum_diff_sq += (dot(vec.lo, vec.lo) + dot(vec.hi, vec.hi)); short8 I0x_vec = vload8(0, I0x_ptr + i * I0_stride); short8 I0y_vec = vload8(0, I0y_ptr + i * I0_stride); sum_I0x_mul += dot(vec.lo, convert_float4(I0x_vec.lo)); sum_I0x_mul += dot(vec.hi, convert_float4(I0x_vec.hi)); sum_I0y_mul += dot(vec.lo, convert_float4(I0y_vec.lo)); sum_I0y_mul += dot(vec.hi, convert_float4(I0y_vec.hi)); } float dst_dUx = sum_I0x_mul - sum_diff * x_grad_sum * inv_n; float dst_dUy = sum_I0y_mul - sum_diff * y_grad_sum * inv_n; float SSD = sum_diff_sq - sum_diff * sum_diff * inv_n; return (float4)(SSD, dst_dUx, dst_dUy, 0); } #ifdef DIS_BORDER_SIZE __kernel void dis_patch_inverse_search_fwd_2(__global const float2 *U_ptr, __global const uchar *I0_ptr, __global const uchar *I1_ptr, __global const short *I0x_ptr, __global const short *I0y_ptr, __global const float *xx_ptr, __global const float *yy_ptr, __global const float *xy_ptr, __global const float *x_ptr, __global const float *y_ptr, int w, int h, int ws, int hs, int num_inner_iter, __global float2 *S_ptr) { int js = get_global_id(0); int is = get_global_id(1); int i = is * DIS_PATCH_STRIDE; int j = js * DIS_PATCH_STRIDE; const int psz = DIS_PATCH_SIZE; int w_ext = w + 2 * DIS_BORDER_SIZE; int index = is * ws + js; if (js >= ws || is >= hs) return; float2 U0 = S_ptr[index]; float2 cur_U = U0; float cur_xx = xx_ptr[index]; float cur_yy = yy_ptr[index]; float cur_xy = xy_ptr[index]; float detH = cur_xx * cur_yy - cur_xy * cur_xy; float inv_detH = (fabs(detH) < EPS) ? 1.0 / EPS : 1.0 / detH; float invH11 = cur_yy * inv_detH; float invH12 = -cur_xy * inv_detH; float invH22 = cur_xx * inv_detH; float prev_SSD = INF; float x_grad_sum = x_ptr[index]; float y_grad_sum = y_ptr[index]; const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f; const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f; for (int t = 0; t < num_inner_iter; t++) { float i_I1, j_I1, w00, w01, w10, w11; INIT_BILINEAR_WEIGHTS(cur_U.x, cur_U.y); float4 res = processPatchMeanNorm( I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1, I0x_ptr + i * w + j, I0y_ptr + i * w + j, w, w_ext, w00, w01, w10, w11, x_grad_sum, y_grad_sum); float SSD = res.x; float dUx = res.y; float dUy = res.z; float dx = invH11 * dUx + invH12 * dUy; float dy = invH12 * dUx + invH22 * dUy; cur_U -= (float2)(dx, dy); if (SSD >= prev_SSD) break; prev_SSD = SSD; } float2 vec = cur_U - U0; S_ptr[index] = (dot(vec, vec) <= (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE)) ? cur_U : U0; } __attribute__((reqd_work_group_size(8, 1, 1))) __kernel void dis_patch_inverse_search_bwd_1(__global const uchar *I0_ptr, __global const uchar *I1_ptr, int w, int h, int ws, int hs, __global float2 *S_ptr) { int id = get_global_id(0); int is = get_group_id(0); is = (hs - 1 - is); int i = is * DIS_PATCH_STRIDE; int j = (ws - 2) * DIS_PATCH_STRIDE; const int w_ext = w + 2 * DIS_BORDER_SIZE; const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f; const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f; #ifdef CV_USE_SUBGROUPS int sid = get_sub_group_local_id(); #define EXTRA_ARGS_computeSSDMeanNorm sid #else __local float2 smem[8]; int sid = get_local_id(0); #define EXTRA_ARGS_computeSSDMeanNorm sid, smem #endif for (int js = (ws - 2); js > -1; js--, j -= DIS_PATCH_STRIDE) { float2 U0 = S_ptr[is * ws + js]; float2 U1 = S_ptr[is * ws + js + 1]; float i_I1, j_I1, w00, w01, w10, w11; INIT_BILINEAR_WEIGHTS(U0.x, U0.y); float min_SSD = computeSSDMeanNorm( I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1, w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm); INIT_BILINEAR_WEIGHTS(U1.x, U1.y); float cur_SSD = computeSSDMeanNorm( I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1, w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm); S_ptr[is * ws + js] = (cur_SSD < min_SSD) ? U1 : U0; } #undef EXTRA_ARGS_computeSSDMeanNorm } __kernel void dis_patch_inverse_search_bwd_2(__global const uchar *I0_ptr, __global const uchar *I1_ptr, __global const short *I0x_ptr, __global const short *I0y_ptr, __global const float *xx_ptr, __global const float *yy_ptr, __global const float *xy_ptr, __global const float *x_ptr, __global const float *y_ptr, int w, int h, int ws, int hs, int num_inner_iter, __global float2 *S_ptr) { int js = get_global_id(0); int is = get_global_id(1); if (js >= ws || is >= hs) return; js = (ws - 1 - js); is = (hs - 1 - is); int j = js * DIS_PATCH_STRIDE; int i = is * DIS_PATCH_STRIDE; int w_ext = w + 2 * DIS_BORDER_SIZE; int index = is * ws + js; float2 U0 = S_ptr[index]; float2 cur_U = U0; float cur_xx = xx_ptr[index]; float cur_yy = yy_ptr[index]; float cur_xy = xy_ptr[index]; float detH = cur_xx * cur_yy - cur_xy * cur_xy; float inv_detH = (fabs(detH) < EPS) ? 1.0 / EPS : 1.0 / detH; float invH11 = cur_yy * inv_detH; float invH12 = -cur_xy * inv_detH; float invH22 = cur_xx * inv_detH; float prev_SSD = INF; float x_grad_sum = x_ptr[index]; float y_grad_sum = y_ptr[index]; const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f; const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f; const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f; for (int t = 0; t < num_inner_iter; t++) { float i_I1, j_I1, w00, w01, w10, w11; INIT_BILINEAR_WEIGHTS(cur_U.x, cur_U.y); float4 res = processPatchMeanNorm( I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1, I0x_ptr + i * w + j, I0y_ptr + i * w + j, w, w_ext, w00, w01, w10, w11, x_grad_sum, y_grad_sum); float SSD = res.x; float dUx = res.y; float dUy = res.z; float dx = invH11 * dUx + invH12 * dUy; float dy = invH12 * dUx + invH22 * dUy; cur_U -= (float2)(dx, dy); if (SSD >= prev_SSD) break; prev_SSD = SSD; } float2 vec = cur_U - U0; S_ptr[index] = ((dot(vec, vec)) <= (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE)) ? cur_U : U0; } #endif 39015c9b775dfd3350237f6206822f49#if CN==1 #define T_MEAN float #define F_ZERO (0.0f) #define cnMode 1 #define frameToMean(a, b) (b) = *(a); #if FL==0 #define meanToFrame(a, b) *b = convert_uchar_sat(a); #else #define meanToFrame(a, b) *b = (float)a; #endif #else #define T_MEAN float4 #define F_ZERO (0.0f, 0.0f, 0.0f, 0.0f) #define cnMode 4 #if FL == 0 #define meanToFrame(a, b)\ b[0] = convert_uchar_sat(a.x); \ b[1] = convert_uchar_sat(a.y); \ b[2] = convert_uchar_sat(a.z); #else #define meanToFrame(a, b)\ b[0] = a.x; \ b[1] = a.y; \ b[2] = a.z; #endif #define frameToMean(a, b)\ b.x = a[0]; \ b.y = a[1]; \ b.z = a[2]; \ b.w = 0.0f; #endif __kernel void mog2_kernel(__global const uchar* frame, int frame_step, int frame_offset, int frame_row, int frame_col, __global uchar* modesUsed, __global uchar* weight, __global uchar* mean, __global uchar* variance, __global uchar* fgmask, int fgmask_step, int fgmask_offset, float alphaT, float alpha1, float prune, float c_Tb, float c_TB, float c_Tg, float c_varMin, float c_varMax, float c_varInit, float c_tau #ifdef SHADOW_DETECT , uchar c_shadowVal #endif ) { int x = get_global_id(0); int y = get_global_id(1); if( x < frame_col && y < frame_row) { #if FL==0 __global const uchar* _frame = (frame + mad24(y, frame_step, mad24(x, CN, frame_offset))); #else __global const float* _frame = ((__global const float*)( frame + mad24(y, frame_step, frame_offset)) + mad24(x, CN, 0)); #endif T_MEAN pix; frameToMean(_frame, pix); uchar foreground = 255; bool fitsPDF = false; int pt_idx = mad24(y, frame_col, x); int idx_step = frame_row * frame_col; __global uchar* _modesUsed = modesUsed + pt_idx; uchar nmodes = _modesUsed[0]; float totalWeight = 0.0f; __global float* _weight = (__global float*)(weight); __global float* _variance = (__global float*)(variance); __global T_MEAN* _mean = (__global T_MEAN*)(mean); uchar mode = 0; for (; mode < nmodes; ++mode) { int mode_idx = mad24(mode, idx_step, pt_idx); float c_weight = mad(alpha1, _weight[mode_idx], prune); float c_var = _variance[mode_idx]; T_MEAN c_mean = _mean[mode_idx]; T_MEAN diff = c_mean - pix; float dist2 = dot(diff, diff); if (totalWeight < c_TB && dist2 < c_Tb * c_var) foreground = 0; if (dist2 < c_Tg * c_var) { fitsPDF = true; c_weight += alphaT; float k = alphaT / c_weight; T_MEAN mean_new = mad((T_MEAN)-k, diff, c_mean); float variance_new = clamp(mad(k, (dist2 - c_var), c_var), c_varMin, c_varMax); for (int i = mode; i > 0; --i) { int prev_idx = mode_idx - idx_step; if (c_weight < _weight[prev_idx]) break; _weight[mode_idx] = _weight[prev_idx]; _variance[mode_idx] = _variance[prev_idx]; _mean[mode_idx] = _mean[prev_idx]; mode_idx = prev_idx; } _mean[mode_idx] = mean_new; _variance[mode_idx] = variance_new; _weight[mode_idx] = c_weight; totalWeight += c_weight; mode ++; break; } if (c_weight < -prune) c_weight = 0.0f; _weight[mode_idx] = c_weight; totalWeight += c_weight; } for (; mode < nmodes; ++mode) { int mode_idx = mad24(mode, idx_step, pt_idx); float c_weight = mad(alpha1, _weight[mode_idx], prune); if (c_weight < -prune) { c_weight = 0.0f; nmodes = mode; break; } _weight[mode_idx] = c_weight; totalWeight += c_weight; } if (0.f < totalWeight) { totalWeight = 1.f / totalWeight; for (int mode = 0; mode < nmodes; ++mode) _weight[mad24(mode, idx_step, pt_idx)] *= totalWeight; } if (!fitsPDF) { uchar mode = nmodes == (NMIXTURES) ? (NMIXTURES) - 1 : nmodes++; int mode_idx = mad24(mode, idx_step, pt_idx); if (nmodes == 1) _weight[mode_idx] = 1.f; else { _weight[mode_idx] = alphaT; for (int i = pt_idx; i < mode_idx; i += idx_step) _weight[i] *= alpha1; } for (int i = nmodes - 1; i > 0; --i) { int prev_idx = mode_idx - idx_step; if (alphaT < _weight[prev_idx]) break; _weight[mode_idx] = _weight[prev_idx]; _variance[mode_idx] = _variance[prev_idx]; _mean[mode_idx] = _mean[prev_idx]; mode_idx = prev_idx; } _mean[mode_idx] = pix; _variance[mode_idx] = c_varInit; } _modesUsed[0] = nmodes; #ifdef SHADOW_DETECT if (foreground) { float tWeight = 0.0f; for (uchar mode = 0; mode < nmodes; ++mode) { int mode_idx = mad24(mode, idx_step, pt_idx); T_MEAN c_mean = _mean[mode_idx]; float numerator = dot(pix, c_mean); float denominator = dot(c_mean, c_mean); if (denominator == 0) break; if (numerator <= denominator && numerator >= c_tau * denominator) { float a = numerator / denominator; T_MEAN dD = mad(a, c_mean, -pix); if (dot(dD, dD) < c_Tb * _variance[mode_idx] * a * a) { foreground = c_shadowVal; break; } } tWeight += _weight[mode_idx]; if (tWeight > c_TB) break; } } #endif __global uchar* _fgmask = fgmask + mad24(y, fgmask_step, x + fgmask_offset); *_fgmask = (uchar)foreground; } } __kernel void getBackgroundImage2_kernel(__global const uchar* modesUsed, __global const uchar* weight, __global const uchar* mean, __global uchar* dst, int dst_step, int dst_offset, int dst_row, int dst_col, float c_TB) { int x = get_global_id(0); int y = get_global_id(1); if(x < dst_col && y < dst_row) { int pt_idx = mad24(y, dst_col, x); __global const uchar* _modesUsed = modesUsed + pt_idx; uchar nmodes = _modesUsed[0]; T_MEAN meanVal = (T_MEAN)F_ZERO; float totalWeight = 0.0f; __global const float* _weight = (__global const float*)weight; __global const T_MEAN* _mean = (__global const T_MEAN*)(mean); int idx_step = dst_row * dst_col; for (uchar mode = 0; mode < nmodes; ++mode) { int mode_idx = mad24(mode, idx_step, pt_idx); float c_weight = _weight[mode_idx]; T_MEAN c_mean = _mean[mode_idx]; meanVal = mad(c_weight, c_mean, meanVal); totalWeight += c_weight; if (totalWeight > c_TB) break; } if (0.f < totalWeight) meanVal = meanVal / totalWeight; else meanVal = (T_MEAN)(0.f); #if FL==0 __global uchar* _dst = dst + mad24(y, dst_step, mad24(x, CN, dst_offset)); meanToFrame(meanVal, _dst); #else __global float* _dst = ((__global float*)( dst + mad24(y, dst_step, dst_offset)) + mad24(x, CN, 0)); meanToFrame(meanVal, _dst); #endif } } 39b7e7b52e8eb53029cf2337ae3d904f#if CN==1 #define T_MEAN float #define F_ZERO (0.0f) #define frameToMean(a, b) (b) = *(a); #define meanToFrame(a, b) *b = convert_uchar_sat(a); #else #define T_MEAN float4 #define F_ZERO (0.0f, 0.0f, 0.0f, 0.0f) #define meanToFrame(a, b)\ b[0] = convert_uchar_sat(a.x); \ b[1] = convert_uchar_sat(a.y); \ b[2] = convert_uchar_sat(a.z); #define frameToMean(a, b)\ b.x = a[0]; \ b.y = a[1]; \ b.z = a[2]; \ b.w = 0.0f; #endif __kernel void knn_kernel(__global const uchar* frame, int frame_step, int frame_offset, int frame_row, int frame_col, __global const uchar* nNextLongUpdate, __global const uchar* nNextMidUpdate, __global const uchar* nNextShortUpdate, __global uchar* aModelIndexLong, __global uchar* aModelIndexMid, __global uchar* aModelIndexShort, __global uchar* flag, __global uchar* sample, __global uchar* fgmask, int fgmask_step, int fgmask_offset, int nLongCounter, int nMidCounter, int nShortCounter, float c_Tb, int c_nkNN, float c_tau #ifdef SHADOW_DETECT , uchar c_shadowVal #endif ) { int x = get_global_id(0); int y = get_global_id(1); if( x < frame_col && y < frame_row) { __global const uchar* _frame = (frame + mad24(y, frame_step, mad24(x, CN, frame_offset))); T_MEAN pix; frameToMean(_frame, pix); uchar foreground = 255; int Pbf = 0; int Pb = 0; uchar include = 0; int pt_idx = mad24(y, frame_col, x); int idx_step = frame_row * frame_col; __global T_MEAN* _sample = (__global T_MEAN*)(sample); for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n) { int n_idx = mad24(n, idx_step, pt_idx); T_MEAN c_mean = _sample[n_idx]; uchar c_flag = flag[n_idx]; T_MEAN diff = c_mean - pix; float dist2 = dot(diff, diff); if (dist2 < c_Tb) { Pbf++; if (c_flag) { Pb++; if (Pb >= c_nkNN) { include = 1; foreground = 0; break; } } } } if (Pbf >= c_nkNN) { include = 1; } #ifdef SHADOW_DETECT if (foreground) { int Ps = 0; for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n) { int n_idx = mad24(n, idx_step, pt_idx); uchar c_flag = flag[n_idx]; if (c_flag) { T_MEAN c_mean = _sample[n_idx]; float numerator = dot(pix, c_mean); float denominator = dot(c_mean, c_mean); if (denominator == 0) break; if (numerator <= denominator && numerator >= c_tau * denominator) { float a = numerator / denominator; T_MEAN dD = mad(a, c_mean, -pix); if (dot(dD, dD) < c_Tb * a * a) { Ps++; if (Ps >= c_nkNN) { foreground = c_shadowVal; break; } } } } } } #endif __global uchar* _fgmask = fgmask + mad24(y, fgmask_step, x + fgmask_offset); *_fgmask = (uchar)foreground; __global const uchar* _nNextLongUpdate = nNextLongUpdate + pt_idx; __global const uchar* _nNextMidUpdate = nNextMidUpdate + pt_idx; __global const uchar* _nNextShortUpdate = nNextShortUpdate + pt_idx; __global uchar* _aModelIndexLong = aModelIndexLong + pt_idx; __global uchar* _aModelIndexMid = aModelIndexMid + pt_idx; __global uchar* _aModelIndexShort = aModelIndexShort + pt_idx; uchar nextLongUpdate = _nNextLongUpdate[0]; uchar nextMidUpdate = _nNextMidUpdate[0]; uchar nextShortUpdate = _nNextShortUpdate[0]; uchar modelIndexLong = _aModelIndexLong[0]; uchar modelIndexMid = _aModelIndexMid[0]; uchar modelIndexShort = _aModelIndexShort[0]; int offsetLong = mad24(mad24(2, (NSAMPLES), modelIndexLong), idx_step, pt_idx); int offsetMid = mad24((NSAMPLES)+modelIndexMid, idx_step, pt_idx); int offsetShort = mad24(modelIndexShort, idx_step, pt_idx); if (nextLongUpdate == nLongCounter) { _sample[offsetLong] = _sample[offsetMid]; flag[offsetLong] = flag[offsetMid]; _aModelIndexLong[0] = (modelIndexLong >= ((NSAMPLES)-1)) ? 0 : (modelIndexLong + 1); } if (nextMidUpdate == nMidCounter) { _sample[offsetMid] = _sample[offsetShort]; flag[offsetMid] = flag[offsetShort]; _aModelIndexMid[0] = (modelIndexMid >= ((NSAMPLES)-1)) ? 0 : (modelIndexMid + 1); } if (nextShortUpdate == nShortCounter) { _sample[offsetShort] = pix; flag[offsetShort] = include; _aModelIndexShort[0] = (modelIndexShort >= ((NSAMPLES)-1)) ? 0 : (modelIndexShort + 1); } } } __kernel void getBackgroundImage2_kernel(__global const uchar* flag, __global const uchar* sample, __global uchar* dst, int dst_step, int dst_offset, int dst_row, int dst_col) { int x = get_global_id(0); int y = get_global_id(1); if(x < dst_col && y < dst_row) { int pt_idx = mad24(y, dst_col, x); T_MEAN meanVal = (T_MEAN)F_ZERO; __global T_MEAN* _sample = (__global T_MEAN*)(sample); int idx_step = dst_row * dst_col; for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n) { int n_idx = mad24(n, idx_step, pt_idx); uchar c_flag = flag[n_idx]; if(c_flag) { meanVal = _sample[n_idx]; break; } } __global uchar* _dst = dst + mad24(y, dst_step, mad24(x, CN, dst_offset)); meanToFrame(meanVal, _dst); } } a192721ae727b25afde8d854a0679ee4GNU└(!(R (u(Щ(_ZN2cv3ocl5video12pyrlk_oclsrcE_ZN2cv3ocl5video29optical_flow_farneback_oclsrcE_ZN2cv3ocl5video15dis_flow_oclsrcE_ZN2cv3ocl5video16bgfg_mog2_oclsrcE_ZN2cv3ocl5video15bgfg_knn_oclsrcE+(+XP#АPН,8Н8д6`дP╢.symtab.strtab.shstrtab.text.data.bss.rodata.str1.1.rodata.str1.8.rela.data.rel.local._ZN2cv3ocl5video12pyrlk_oclsrcE.rela.data.rel.local._ZN2cv3ocl5video29optical_flow_farneback_oclsrcE.rela.data.rel.local._ZN2cv3ocl5video15dis_flow_oclsrcE.rela.data.rel.local._ZN2cv3ocl5video16bgfg_mog2_oclsrcE.rela.data.rel.local._ZN2cv3ocl5video15bgfg_knn_oclsrcE.note.GNU-stack.note.gnu.property@!@'@,2@?;2Аq╢O╖( J@╚╣`Д@╖( @(║`╩А╖( ┼@И║` └╖( ¤@ш║`;╕( 6@H╗`n(╕~(╕ H╕└ ╣╝и╗С