! #1/20 1548786664 501 20 100644 36412 ` __.SYMDEF0*1E@-66c6365<,w,,,-5r-D7D--+.x../k//4000p1I1v5(4 2x2w4542h33HSvJ~i J 8  W - L{ =h{Y5e:mIq*_ CJCJAJxW"<IIHG[GFr ~!!|"#|##$%%&&&' (?c?>k>>=z=&=<<<t<W<=<$<(( <(;?)h));::9A988R8 87777i7P7)))%*E*g**7**+9+^++++,TLhYKhYKhYLhY3KhYJhYMLL?MMM'N[NN O]OO-PjPPI;~AtoE~jLMDLEHc0A;~AHI(u~fA.vfAfff.HHHHuLME1ELUDIU t^LfW*(^W*JYD-W*JY-W*JY-W* Y-DJZJ:HHHuMH HHAtIIGMH]H}tIIFE+EHHHEHH0HHEHHPHE1HU;}Lff.I9tkA4;u~bAMA]W*YD-D)A9|@E}AUW*YD-DD)A9|D9]DD9U;u+HIH]H9|L(;}Lt-L(H];}Lffff.H HGH;Gt\HHGMtwIGI;GtYH HIGMt|IFI;FtRHHHIFII9|dH]MuLH]Mu LH]fff.II9)LpHHLLHAoDfC JHB;M~fA~f:DȉEfA:f:D؉EOEI 1ffff.I9tkEA9~bA]AuW*Y-щ)A9|BEEAMW*YD-DD)A9|9uDD9MHIH]H9|+H}Ht H}HPHt HXH0Ht H8HpHt HxHHt Ht HH([A\A]A^A_]HpHÃHHPHtcHH0Ht[HHpHtQHHHtIHHH}Hu;HPHuDH0HuPHpHu\HHuhut~H}HPHtHXH0HtH8HpHtHxHHtHt HHHfUHAWAVAUATSHILH_L)HHW)MHEEL]LhtILcLH>mN,LIL}O4LuLLLuEL]E1HH]]H]HFكHs 1HuBhH)1IIDIDIDID ID(ID0ID8HH9uHt(IDHٺfffff.HPHHuLcUE1lL`DDffff.AIcADžyLHITLHXKHEE1LEHUtDLEffff.HcAυyD9L]uHUIM9:IcATA9T~E$AATAHpHUIcA<fWf)pHHENT] < 0HHHot][PAREHHHnodes[roH)AHHєH ԔHEL]L`LE HUCx!K fff.D!HI ADžyHHU fffff.D!HI ADžyf.M9LHE 3AD3:)OA\3 BAA)OW*YYHXD)ωLW*f.rvDBAt3D)LW*f.rHD)ɉLW*f.r/EA)DALW*f.ffffff.LEHUL]IM9IM9LLuIcHhH HSH)HHH)v H sHHCEuHD1E1fffff.HcA9AMAvAHI]I8HHELxI)IM(UC CCH]E11E1E1LufM9%AuAK|HML#HMB\T(Y.v Afffff.HMBIHMW*!^-W*a^E1.AAE)-DsAw‰sSMDFLLuAvA9OOºDOAADƉs ED8IHL;m AN]E11AD9DMEfAA9DHX[A\A]A^A_]H}HH}HtGuHPHHUHAWAVAUATSHXHIIHHHEH5HHLHHHLHI8H LrI)mDaIAAAAD9DM9LىdtILP`I8ILIHLL= UAG AGDI@AGAO,AOAD(A9HuA9Lu#u I`u%ptHpE1IHhA&A9uE9uHhfpDtHp1E1HhLE1AHLpLHLI8L'HGL)HHHL9CD4C 4HDžpx|ILHhHHEDžp LxH0@CD4WZh^HHHf(IHHH@XHEDžp LxDLLHIIL;LAGL=IuH)F)F ) oF0f0H@HPHHfH:HffPt@~EHFHHHHH H@HB@1ۃdkHLDžHI0AGAO,AOA4A9O8uA9G H\H }Z)AILHpIHt!IXIh$IID$ID$I$ @H HL`HpLxI@HtGuHP(pA@IX[IID$ID$I$ @H HL`HpLxIPHtGuHP(pAPIhIID$ID$I$ @H HL`HpLxI`HtGuHP(pA`IHHHOH)HLH)vsLHHHGI7IWHp1AƆpIIHIFHtHu IA~"I1HIcH9|MMIdžteE1Lpffff.H;LHpHMH`HhH`HB<0tAƇpLI@IuApAG,AG AOHIAAIG$IGtmHt$HtHu7HIGAG AOAG$AO(ȁ|IG$Hx[A\A]A^A_]HHpHGHP{HHHpHtdGuUHPMHHHpHt6Gu'HPHHHHpHHUHAWAVATSIIHHC$HCHCHC C0BHC8ClHCdHC\HCTHCLHCDHC<HC4HCpHHHCxHǃHǃǃBHǃHǃHǃHǃHǃHǃHǃHǃHHHHǃHǃǃBHHǃHǃHǃHǃHǃH H0H(Hǃ8Hǃ0ǃ@BHHHǃhHǃ`HǃTHǃLHǃDHpHHxHǃHǃǃBHHǃHǃHǃHǃHǃHHHHǃHǃǃBHHǃHǃHǃHǃHǃHH HHǃ8Hǃ0Hǃ(Hǃ HHHǃhHǃ`HǃXHǃPHǃHHǃ@HǃHǃHǃHǃ|HǃHǃ(y"CC,ǃtǃxǃƃp IAD$HI$I\$HLM&I^AD$AD$u I$LPL[A\A^A_]HHøAD$u I$LPHHfffff.UHAVSIHAo@fH~Ht@H@@HtGuHPAoPfH~Ht@HPPHtGuHPAo`fH~Ht@H``HtGuHPAIHIpIxHxHpAAIIHHH[A^]HHHffffff.UHAWAVAUATSHIAHH5HH8McL'HGL)HHHL9pCCxLL}= ODF(AȋFDDFAȋFA)FDGDFAȋF AFDGDNADF FEA)DFDȉG DFAȋFDGDFAȋF$A)FDGDFAȋF AFDGDNADF F$EA)DFDȉGDF,AȋF0DG DF,AȋF8A)F0DG$DF,AȋF4AF0DG(N,DF4F8D)DF0FDF FNOFFFGF NFNO FFGF FNOF$FFGF N$FNOF0F,G F4F,N0O$F8F0F,G(DF0N4N,F8DȉG,]UHAVSHHIMIVI9uRHC HtHuH{~HC01@HHcSH9|HC MIVD)ƒLu1E1LHEDžx H]HxLHEHtHu H}HEHEHEHEHE}~!HE1HHcUH9|H}HEH9tHĀ[A^]HHHEHtHu H}HEHEHEHEHE}~(HE1ffffff.HHcUH9|H}HEH9tHHff.UHAVSHIHc HHcSHAv ;pAv;pIvxHIV@H Hc@ HIIcxH Mc|B4Ic+4Ic+4Ic4B++AA*H*Y*Y\fWf.v9Q_8^WZAZY C8f. Adž?1[A^]UHAWAVSHIx&I8HHOHH)Hi9W)EL}о2LHta->sizeHH(H)scaleDaHH Hx < (intHHH scaleIdHHHleIdx &&HHH0 <= scaHf@0()H5JH ;J)A.LH}I8HHOHcH)HHHH9vH HH[A^A_]HHH}HHfUHH]ffff.UH勇x]@UHAWAVSHxIH?H}HuHULp1LHpHMHEHMH}1LLHIwHHK(HEHMH}1HHIwHHK(HEHMH}1HHIw HHK(HEHMH}1HHx[A^A_]fDUHAWAVATSHHC$HCHCHC C0BHC8ClHCdHC\HCTHCLHCDHC<HC4HCpHHHCxHǃHǃǃBHǃHǃHǃHǃHǃHǃHǃHǃHHHHǃHǃǃBHHǃHǃHǃHǃHǃH H0H(Hǃ8Hǃ0ǃ@BHHHǃhHǃ`HǃTHǃLHǃDHpHHxHǃHǃǃBHHǃHǃHǃHǃHǃHHHHǃHǃǃBHHǃHǃHǃHǃHǃHH HHǃ8Hǃ0Hǃ(Hǃ HHHǃhHǃ`HǃXHǃPHǃHHǃ@IIFIFI @H HLpH@LHIIFIFI @H HLpHPLXIIFIFI @H HLpH0L8HǃxHǃp[A\A^A_]ILPH`H@HI?HtGuHPL@IGII<$HtGuHPID$I$HLHHf.UH]fDUHSPHHHH`HtGuHPH`H@HHPHtGuHPHPH@HH@HtGuHPH@H@HHH[]HHHfUH]fDUHSPHHH[]@UHAWAVAUATSHIIEЋBEHUIHt!IXIhHHCHCH @H HHXHpHxI@HtGuHP(pA@IX^HHCHCH @H HHXHpHxIPHtGuHP(pAPIhHHCHCH @H HHXHpHxI`HtGuHP(pA`IHLH HSH)HHH)v H s HHHKILJpI6IVL}ME1Lp1LIMoLL}HHLHIHL`HpH;tEfH;LHMH`HhLLIHpH;uHxH;uHMH;0uHMH;XuAG,IG$IGtHIGH[A\A]A^A_]HHpHtqGubHPZHHHpHtCGu4HP,HHHpHtGuHPHHUHAWAVATSIIIL HCHHL{LLIM~CCu HHPL[A\A^A_]HIƸCu HHPLHILLUHAVSIHAo@fH~Ht@H@@HtGuHPAoPfH~Ht@HPPHtGuHPAo`fH~Ht@H``HtGuHPIpIxHxHpH[A^]HHHfUHAWAVATSHIII$8LcHHGH)HHHL9L= K D A|$I@HLUȉEHML`HULLHEE L}HHuAALHHH`KLMLMHcL HIL$@M$H`HuHHEEH]HHuAALHHHEHtHu H`HEHEHEHDžxHDžpd~)HE1ffff.HHcdH9|H}HEH9tHĀ[A\A^A_]HHHEHtHu H`HEHEHEHDžxHDžpd~#HE1HHcdH9|H}HEH9tHHH`HUHAWAVAUATSPIE~IHLkL++IIXHHOH)HLH)vIXL'Mp#sLHHHGL'MpMH H I0fDDIDQYDGCBDAF EAYfnfpfAnfA:"f:"f:"fAD$fAnfpfAD$ADAfnfpfAD$fnfpfA$HI@IOIƐLH[A\A]A^A_]fUHSDDVFDN GC JDFDA@fnfpfAnfA:"f:"f:"ffAnfpfGDfnfpfG fnfpfG0[]UHAVSHHIMIVI9uRHC HtHuH{~HC01@HHcSH9|HC MIVD)ƒLu1E1LHEDžx H]HxLHEHtHu H}HEHEHEHEHE}~!HE1HHcUH9|H}HEH9tHĀ[A^]HHHEHtHu H}HEHEHEHEHE}~(HE1ffffff.HHcUH9|H}HEH9tHHff.UHAWAVATSHIIx&I8HHOHH)Hi9W)ELeо2LHta->sizeHH(H)scaleDaHH Hx < (intHHH scaleIdHHHleIdx &&HHH0 <= scaHf@0()Ht+H ()AdLH}I8HHOHcH)HHHH9v`IcHxIIcvHx@A H;|}0A;|}$IxH7Iw@H HcD HIx1H[A\A^A_]HHH}HHUHAVSI-HHC$HCHCHC C0BHC8ClHCdHC\HCTHCLHCDHC<HC4HCpHHHCxHǃHǃǃBHǃHǃHǃHǃHǃHǃHǃHǃHHHHǃHǃǃBHHǃHǃHǃHǃHǃH H0H(Hǃ8Hǃ0ǃ@BHHHǃhHǃ`HǃTHǃLHǃDHpHHxHǃHǃǃBHHǃHǃHǃHǃHǃHHHHǃHǃǃBHHǃHǃHǃHǃHǃHH HHǃ8Hǃ0Hǃ(Hǃ HHHǃhHǃ`HǃXHǃPHǃHHǃ@HǃHǃHǃHǃ|HǃHǃ(CC,ǃtǃxǃƃp @H -HH @H HHXII^IFIL[A^]IHLfffff.UHAWAVAUATSHHHHH{(C HCHCHCǃBHHǃHǃHǃHǃHǃHH(H Hǃ0Hǃ(ǃ8BH@Hǃ`HǃXHǃLHǃDHǃ<HhHxHpHǃHǃxǃBHHǃHǃHǃHǃHǃHHHHǃHǃǃBHHǃHǃHǃHǃHǃHHHHǃ Hǃǃ(BH0HǃPHǃHHǃ<Hǃ4Hǃ,HXHhH`HǃpHǃhǃxBHHǃHǃHǃHǃHǃ|HHHHǃHǃLLLLHƃH[A\A]A^A_]HELHELHELHHEH8HELLL(HxLLLH}H}I<$HtGuHPLID$I$I>HtGuHPLIFII?HtGuHPIGIHHuJHHuVH{pHubH{XHukH{@HutH{(Ht H{0HH}HHHtHH{pHtH{xH{XHtH{`H{@HtH{HH{(HuHHHfffff.UHGHGHGHH ]fffff.UH]fDUH]fDUHSPHHHHHHHxH(HHH8HHHtGuHPHH@HHHtGuHPHH@HHHtGuHPHH@HHHt HHHt HH{pHt H{xH{XHt H{`H{@Ht H{HH{(Ht H{0HH[]HHHfffff.UH]fDUHSPHHH[]@UHHt1]HG(H;G0]ÐUHAWAVATSHpIIIIHtGuHPHCHH0W)Dž(HDž IHH}Ht H}H}Ht H}HxHt H}H`Ht HhHHHt HPH0Ht H8IIHtGuHPHCHW)HH1LHHH}H1HuHUH1H]LeH}HpHLHHH;pu@HH;xu0H8H;u H`H;uW)E1H8HEHMHuLHIHH= &HE111IMt! @H HLp1IIMHtGuHPIHHp[A\A^A_]HHHHHHH}Hu>H}HuGHxHuPH`HuYHHHueH0HuqH}H}HtH}HxHtH}H`HtHhHHHtHPH0Ht%H8HHHHf.UHAWAVATSIHAFCIINHKHAFCAFCM~ H{ Ht'Lc H{(ID$ID$I$IF HC IF(HC(IF0HC0IGIGIM~8H{8Ht'Lc8H{@ID$ID$I$IF8HC8IF@HC@IFHHCHIGIGIM~PH{PHt'LcPH{XID$ID$I$IFPHCPIFXHCXIF`HC`IGIGIM~hH{hHt'LchH{pID$ID$I$IFhHChIFpHCpIFxHCxIGIGIMIHHt-IIHID$ID$I$IHIHIHIGIGIMHHt-LHID$ID$I$IHIHIHIGIGIH[A\A^A_]fUHAWAVATSH IHƃL}LHLH}L}LHLL}LHHtHu H~H1HHcH9|HǃHHtHu H~%H1fDHHcH9|HǃHHHtHu H(,~%HX1fDHHc,H9|HǃHH{Ls LLM9t}I<$HtGuHP(EA$W)EHH}LH}t&HHH@KMȋK MHuHU1H [A\A^A_]H}HtGuHPHHH}Ht-GuHPHHH}Hfffff.UH]fDUHAWAVAUATSHMAHIIH5H}IHH@0 MЋKMHuDлtKAD$ A|$u tZu0LLLtLuLLLÃ}t H}H[A\A]A^A_]LLLLLLHHÃ}t H}HHffffff.UHAWAVAUATSHXHIIH5H}II;urfWf)EH}Humps.empHHH.data.stHHH!cascadeH@ty()HuH Hu)A?H}H]IW(IO0H)HHHI^IHHEE1HUKHELctMHM~]LaWE1MAt$HAL$.LwID$ZMXIIM9|ff.fWHUHEDZf.wMIHMLIL;}YfWHEA}t H}DHX[A\A]A^A_]HEA߃}uHHHH} HHÃ}t H}HHf.UHAWAVAUATSHHUIHH5H}HH;urfWf)EH}Humps.empHHH.data.stHHH!cascadeH@ty()HH Hu)AfH}HK0Hs(H)HHHIOHMKQLHcHHHHEHxHHH1Hpf.HEH@HPtHXH`HhHELpHxLgfWHHH@HEMc|$IKcT:KcT:D4AE)KcT:$DE)KcT:(D,EKc:Kct:DKct:<}ԋ‰D))1D9@HKcT:D)D)1D9HGKc|: Kc\:D)+E1D9AI KcD:,E)A)A1E9D)KcD:8)Kc\:<IHPHH!HHAHHHPHHIHPHIHIHIHIHu|oIHuj]IHuXKIHuF9IHu4'IHu"IHPHHAHHPHHILMIIHEHtHu HPHEH`H@H@H@HT~"HE1fDHHcTH9|H}HEH9tHLMt4HL9t0@HðHI9uHLLLHUHAVSHHIMIVI9uRHC HtHuH{~HC01@HHcSH9|HC MIVD)Lu1E1LHEDžx H]HxLHEHtHu H}HEHEHEHEHE}~$HE1ff.HHcUH9|H}HEH9tHĀ[A^]HHHEHtHu H}HEHEHEHEHE}~(HE1ffffff.HHcUH9|H}HEH9tHHff.UHAVSHHIMIVI9uRHC HtHuH{~HC01@HHcSH9|HC MIVD)ƒLu1E1LHEDžx H]HxLHEHtHu H}HEHEHEHEHE}~!HE1HHcUH9|H}HEH9tHĀ[A^]HHHEHtHu H}HEHEHEHEHE}~(HE1ffffff.HHcUH9|H}HEH9tHHff.UHAVSHHIMIVI9uRHC HtHuH{~HC01@HHcSH9|HC MIVD)ƒLu1E1LHEDžx H]HxLHEHtHu H}HEHEHEHEHE}~!HE1HHcUH9|H}HEH9tHĀ[A^]HHHEHtHu H}HEHEHEHEHE}~(HE1ffffff.HHcUH9|H}HEH9tHHff.UHAVSHHIMIVI9uRHC HtHuH{~HC01@HHcSH9|HC MIVD)ƒLu1E1LHEDžx H]HxLHEHtHu H}HEHEHEHEHE}~!HE1HHcUH9|H}HEH9tHĀ[A^]HHHEHtHu H}HEHEHEHEHE}~(HE1ffffff.HHcUH9|H}HEH9tHHff.UHAVSHHIMIVI9uRHC HtHuH{~HC01@HHcSH9|HC MIVD)ƒLu1E1LHEDžx H]HxLHEHtHu H}HEHEHEHEHE}~!HE1HHcUH9|H}HEH9tHĀ[A^]HHHEHtHu H}HEHEHEHEHE}~(HE1ffffff.HHcUH9|H}HEH9tHHff.UHAWAVAUATSPMMIIHH1HH߉LH߉LH߉LH߉LH߉HUH߉HUH߉HU H߉HU(H߉HU0H߉HU8HH[A\A]A^A_]UHAWAVAUATSPMMIIHH1HH߉LH߉LH߉LH߉LH߉HUH߉HUH߉HU H߉HU(H߉HU0HH[A\A]A^A_]ff.UHH]ffffff.UHHH]` fffff.UHFF GH]fff.UHH]UHAWAVAUATSHMLIIHIH5HH}H]HIEH}LPhHMyLt9tLEDuD9} iLEEADuD9ND}]A9>HLLW)EHE)EHEIMILmLmLefHnHfpDfEHEW*-D9 WA*-; H]ff.LmLeWZpM9sAEILm.@HHpMDuD}YW*Y-D9WA*Y-;EqLELmM9t@LeW*AY-HE;L.LHUH;Ut'SMLLLeMHUH;U1I9(W)pHDžM9u11L1fHxHHW*EALY-W*EY-A)AG)W*H9tHHxHpLLELmLL)HH9fHpH9x1WA*Y-E1AH}LHM;AA;|2A;G|,HEH;EtHHEHLELmHߐLL)HI9sHxH}Ht2H}H}Ht)H}u *HH}HuH}Hu׃t HHHfUHAWAVAUATSPIHL3HCL)HL9sjLH>upLcM)J<IKDMMM~LLLILL+L{HCMtLH[A\A]A^A_]H[A\A]A^A_]ÿHH5HHHHH5HHIHLffff.UHSPHHHHHtHu H{XHǃHǃHCxHCpHCh{\~(H1fff.HHcS\H9|HHH9tH{@Ht H{HHH[]Hffff.UHAWAVAUATSHEEMIHUIHH5H~Ef.vLff`H`&Hh() == 0HHHe.depth(HHH&& _imagHHHtor > 1 HHHscaleFacHH6H H`)A`H`HHP(!HHP`LHM(HU L}L=1It$Hh)`F)pF )EoF0fEHEHEHEfH:HffEt@~HFHHHUH H@HBA8AG<@BDD$H@H$L8HLHULHALLI~EEtaH5H`~H}DLHhH`H`L/~\H}DDždH`EffHDžofPfH~HHU tAA(AO, 0J4M(L$ H0HL$H(HL$D$D,$H`HPLHUHHM~EHPHtGuHPffPHHt HHEHtHu H`HEffEfpd~#HE1HHcdH9|H}HEH9t t HH[A\A]A^A_]HHHÃh-H`HHHHPHtGuHPffPHHt HHEHtHu H`HEffEfpd~(HE1fff.HHcdH9|H}HEH9tIBHH-+HHHH` HHà t HHHffffff.UHAWAVAUATSHxEMLEHMHUIIH] 1IMt( @H HHHMLp1HEAEAMAEE IUOA#uHEEHUMEIEHEBBuIt$KH H HM(Hʋ RH H U0T$HL$HD$E$H}LHMLEEDMLeH}HH}Ht_(Hc11IIWH)HIIHH)vLH}ȅu)s HHIGtHtI7H?IIOHH)HII<$I\$H)HHH)vLIIOH9u/s HHI|$H9tI$DHHH9uH}HtGuHPHx[A\A]A^A_]HHH}u3HH}u 'HH}tHMAu H}HPHHfUHAWAVAUATSHMEʼnM`HhIHL}H5H}W)pHE)EHEHH@XAMANMAMAOMHMHL$HMHL$D,$D$HpLEHLHh`DMH}Ht H}HpHt Hx}t H}HĘ[A\A]A^A_]HHH}HuHpHu}u)0H}HpHtHx}t H}HH@UHAWAVAUATSH8DMEfEIIIHH5HL=It$H() F)0F )@oF0fPH`HpHhfH:Hffpt@~NHFHHHhH H@HB~Ef.$w%0H L~Ef.v ffEH}%Hh() == 0HHH.depth()HHH&& imageHHHtor > 1 HHHscaleFacHHH DHu)AH}HHP(RffEHEfHDžHHP`HMHU:ffEHEofEfH~Ht@BA HHD$HHD$ED$D<$D$ H HuHMLLML~EH}HtGuHPffEH}H]HH)HIIIIVH)HHH)LH}H]H9Dž$H HEEH HEȋBAHH$D$HuHMLLHL~E~lLLD!sHIFH9I6LCI)LIHHHH sHLIHHDHH9sHDHWH9sHHHHEH)LHHHW`HoBoJf:oBoRf:?f:oBo f: oB0oZ f:f:VH H HuLHHHH9uHt H}HHt HH}Ht H}HXHtHu H HDžXff@f0$~-H`1fffff.HHc$H9|HhHpH9tt HH8[A\A]A^A_]HHH}Hu9YTRHH}HtGuHPffEH}Ht"H}HHu#HHHHt HH}HtYH}HXHuPiHHHH}$HHHXHu2HHHXHtHu H HDžXff@f0$~)H`1f.HHc$H9|HhHpH9t HHÃt HHHUHGHGHGHH ]fffff.UHAWAVAUATSHHIIHHHW)HHHHH uH9t%HH=HEH5[t1_ AHCHLW)HHHHHH9HL%LEH5LHH9H5LHH9tH5L AFW)H#Hrted in HHHot suppoHHHade is nHHHHOG cascH@"0f@ 3.HH eH+AHAFAFHHPLHPH1AFHH`LH`H1AF~ A~W)H/Hidth > 0HH'HnSize.wiHH H& origWiHHHht > 0 &HHHize.heigHHHorigWinSHHH 9H)AHH@H}LH} H0HpHuHpH1DEnAEEdAAD$EOȉMHHLHHHMHEH} H}I~ H}HIF8INPIF@INXIIHuHUH1H]L}H}HHLHIF8HEIFPHPIH`IF IFhHXLHHE1HHHHL}HHH;uo/HHHHHHH;u>HH;u.HH;uH@H;f.LeLXHHEHMLHWHHEHH]HHHHHMHEH}BHIEXiI^@I+^8HM~(IF0I9tAEgAGIF( HMLM)MIHLIMHUUUUUUUH9L)HHH H9wHH9HBHHzLhEHpHH<@ELhHpKLmH4HRL,DdDLd LHUUUUUUUHHH?HHHRHM~HLLMMI^ Mf(Mn0MtLHEHHHH IHcTHc4HH}HuHU1HH]LeL}LHHLHHH;LXLeu4HH;u$H(H;uHPH;@H(HHHhHHHHxHHHpHEHHh}EAN AV9NAN 9LAVIN@I;NHt HIN@ H}HuIFXI+FPHHcuHHPM~hI^pHxL)HHHXHE~)II+HHcMIcHHH}HhHp1HxHhLpHhHHHLHL}LeHDžHIFXI;F`ugPHxHHHWHHHxIFXI;F`uHPHHHHPHIFXHxH;Hu@HH;Pu0HH;pu HH;wfff.HHH1HHHxHxHHH1HHHxHxHHH1HHHxE`1ffff.HxHHH1HHdII;sHI@LHdHxD9zHxHU1LL HxLHHxLeHxLLHLH HHLHHHxH;Hu0HH;Pu HH;puHH;teHHHWHLIFpI;Fxs HIFpHXLHx[HL}11H1HHHH[A\A]A^A_]óA~uIF IV(H)tHH1E11HUEDHUHuHH9sHEHH vDDE~HuIcĉ}LcIIH4E1DEHuIFPJD(INhHJLHHII;sHHHPHIH`HHuDEIIAE9|)H}HHHuHhfdHHHNHA?H53HH5$"  HHHHHHffffff.UHAWAVAUATSPHL3HCL)HHHH9HVUUUUUUH9LcM)HLupLcM)J<IKDMMM~LLLILL+L{HCMtLH[A\A]A^A_]H[A\A]A^A_]ÿHH5,HHHHH5HHIHLffff.UHAWAVAUATSPHIM7IGL)HH9sfHHupLcM)J<IKDMMM~LLLILL+L{HCMtLH[A\A]A^A_]H[A\A]A^A_]ÿHH5<HHHHH5HHIHLffff.UHHHuH}H]DUH f.UH f.UHHGH]ff.UHHGH]ff.UHAVSHHCH[A^]IH;HtGuHPHCHLHfffff.UHAWAVATSIIIL HCHHLcCI?IMgHtGuHPCu HHPIHLP@tIHt6HP(4.I?HtGuHPIGI1[A\A^A_]HHHLHf.UHAVSHHCH[A^]IH;HtGuHPHCHLHfffff.UHSPHH;HtGuHPHCHH[]Hfff.UHSPHH;HtGuHPHCHH[]Hfff.UHHHtH]`(]UHAWAVATSHIIHH IAD$HI$I\$HLAEt5LeH]AD$I>HtGuHP(EA,I>HtGuHPIFIAD$u I$LPDH[A\A^A_]IH}Ht=Gu.HP&HHIHLIƸAD$u I$LPLHffff.UHAWAVAUATSHHIHIIEI+EHHED'DHtlHCH+HH;Et[W)EH}He() == nHHHa->size(HHH )A{HuH}MtlIFI+HH;Et[W)EH}He() == nHHHb->size(HH1H )AHuH}H}LuH]Lm8HMMAMi E1E1ffffff.A]AEADIۅIA]D9~DAED9~DD))AuAޅE1uuDLHA A\ At ED M9v_HMHHQH)HL9)L9 H}B B t,HMHHQH)HL9L9J J IIIL;UE1L;uH]MEIQ E1E1ZBADIۅIZD9~DD9~DD))AAAuA‰߅~pE~k1AuEuDLHA A\ A| ET M9 Eu,HMHHIH)HL9L9J J IIHL;m)L;uH]HUHHJH)HLH)vHH}HuEH}sLHHHBHt,HHOH)HLH)v Hu9sJHGHt*HHKH)HLH)v H sJHCHH[A\A]A^A_]H}H}HHHH}HHH}HHUHAWAVAUATSHXMDEЉMEIIIH5H}IHt HP(tMW)EH}H!empty()HHݥH Hu)AH}HEIHHYHA $MAL$MċMȋ@EHEH$LMLLEMDEH}LH}11L}t H}HX[A\A]A^A_]HHHH} HHÃ}t H}HHDUHAWAVAUATSHXDMDEEIIIIH5H}I|$Ht HP(tMW)EH}H!empty()HHkH Hu)AH}HEHMI|$HHZPUIMċMȋ@EHEHD$HEH$LLLEDEDMH}LH}1LL}t H}HX[A\A]A^A_]HHHH} HHÃ}t H}HHUHAWAVAUATSHxDMELEIIIIH5H}I}Ht HP(tMW)EH}H!empty()HHH Hu)AH}E(HM HUDEI}HH[X2uRUUIMD$HEHD$HEHD$D$LLLLEEDMH}LH}LLHM}t H}Hx[A\A]A^A_]HHHH} HHÃ}t H}HHDUHAVSHHH{Ht HP(tOW)ELuLH!empty()HHH *)ALH}H{HP`H[A^]HHH}HHfUHAWAVSHHIH{Ht HP(tOW)EL}оLH!empty()HHH u)ALH}HsHLPhLH[A^A_]HHH}HHfff.UHAVSHHH{Ht HP(tOW)ELuLH!empty()HHTH )ALH}H{HPpH[A^]HHH}HHfUHAVSHHH{Ht HP(tOW)ELuLH!empty()HHH )ALH}H{HPxH[A^]HHH}HHfUHAWAVSHIHH{Ht HP(tOW)EL}оLH!empty()HH H U)ALH}H{HLH[A^A_]HHH}HHfff.UHAWAVSHHIH{Ht HP(tOW)EL}оLH!empty()HH]H )ALH}HsHLLH[A^A_]HHH}HHfUH]f.UH]f.UH1]UH]fDUH]DUHAWAVAUATSHcHpLxHHcLEDHcLAtEA)HcL$E\E)HcL(ETELc4HcLE|HcLELCLDD)D)E1D9AAHcLALD)D)1D9D Lct Hc|E|)C+LD1D9@ HcL,ALD)D)1D9 D)HcL8AL)Hc|Hu!H;Hu*LH{XI>HtH{ H;HtH{Lf.UHAWAVAUATSHIIFIFIL.HFL)ufWfWfWfWEBEBN0)`N@f)p^f)PL~HILIfWfW1fWfWff)ME]f)AE)EAE)EfY`f)0f(e^f)ef()@f(fƅpf) f(]f^f)]E^M^AUf(\f(ff(Pff\YfYf(XXY]f(YEf(0f(@XXpQ^f(eYf(ufYXfX^f^ eXeEf(efXf)ef(MHIL9AfAVf^^AfAVLH[A\A]A^A_]UHAWAVAUATSHIIMI)MIIIGHH)HI9vsIHt%I_HIGIGI1LH=u5HHHHH9HL9r|H9IvtLMwI)J6IM9IFHH)HHtHHEHMHMHEM9vI)M~[IHLMgFHIGIFHH)HII9Ht"I~IFIFI1H I9 HIHTUUUUUUH9w HL9IBHHL$ILIFIIMfL9fffff.HKHHHHL9u~IFII)J IMM9LHGH9t)fffff.HSHWHHH9uM9v1L9t0ff.HQHPHHL9uIFI~H[A\A]A^A_]L@UHAWAVATSIII^IFHH)HHHL9I I6H)HHJ;L9H)HHHTUUUUUUH9wHH9HBHIJH<@H [H ILHHHʐHBHBHHIHuK4dHffffff.HBHBHHB(HB HBHB@HB8HB0HBXHBPHBHHBpHBhHB`HǂHǂHBxHǂHǂHǂHǂHǂHǂHIHI>IvH9t(FAH^HvHYHIH9uI>IIVIFH[A\A^A_]IGLHt=Hffffff.HCHCHI^HI^IHuHff.HCHCHIFHHINH@(H@ H@IFHHINH@(H@ H@IFHHINH@(H@ H@I^HI^Ig[A\A^A_]HK4dHE11>LfDUHAWAVAUATSPII L'H_IM)IHLIEL9H}HOL)HHHTUUUUUUH9wHH9HBHIJH<@ODmJK H ABI~J|JDL9t2H}ffffff.CBHsH[HrHRI9uH}HHGHOMtLH[A\A]A^A_]H[A\A]A^A_]E11^fUHAWAVAUATSH(MAHD% BCLksS LCLCHC8HC0HC(HC Lk@HCPHCHHCXHCPHcHcHHMu|W)ELeLH= __nullHHHdata != HHH== 0 || HHHtotal() HHH )ALH}S LmEAAAADɸPH$ALcMMLA"DDH1LHHtyW)EL}LH of esz1HHHultiple HHHt be a mHHHStep musHH H ALH}M9uLHELu K@CIHKHL1LaHIHCHC(L)LHC H([A\A]A^A_]HHH}HHHH}HHUHAWAVSPIHAFCAF C AFCAFCAFCAFCAF C AF$C$AF(C(AF,C,L9IFhHt@L{0HChHtHuLIv0HChHCXHCPHCHHC@{4~]HCp1HHcS4H9|A@AF47C4AF8C8AFAAIHHH H@HBLIHu AAAo0fH~Ht@H00HtGuHPHH[A^A_]HfUHAWAVAUATSH(MAHD% BCLkHcFCHcS HKHKHC8HC0HC(HC Lk@HsPHsHHCXHCPHHHHt|W)ELeLH= __nullHHHdata != HHH== 0 || HHHtotal() HHH )ALH}S LmEAAAADɸPH$ALcMMLA"DDH1LHHtyW)EL}LH of esz1HHHultiple HHHt be a mHHHStep musHHH A$LH}M9uLHELu K@CIHKHL1LaHIHCHC(L)LHC H([A\A]A^A_]HHH}HHHH}HHfff.UHAWAVAUATSHHLu0DU(H}HHHCPHCHHC@L{XCXBHC`ǃHǃHǃHC|HCtHClHCdHC\HLLHǃHǃHsSKLC LK(H{1EHMHDHK0HEE HC8M9(HC@HELk\IF8Ht4@HHEHHt$HuL HHEHǃHǃHCxHCpHCh{\~^H1fHIcUH9|AADAF;C\AFC`AF CdIFHHHH H@HBAAAF~LLAFChAF CxIF0HIF8HMHHE8HH[A\A]A^A_]IHEHHtHuLHǃHǃHCxHCpHCh{\~*H1fffff.HIcUH9|HL9tHEH8Ht H{HHLHffffff.UHSPHHHHHtHu H{XHǃHǃHCxHCpHCh{\~(H1fff.HHcS\H9|HHH9tH{@Ht H{HHHH[]HDUHAWAVAUATSHIHH5H`HCHHHpPHEDCE%HKDQDY A*A*E11H]LXDUD]MULeHHH!_seq ||HHwyH ty)A HH}H[]HHH}HHffffff.UHAWAVAUATSPIII^IFHH)HHHL9 I I6H)HHJ;L9H)HHHeffffffH9wHH9HBHIJH<H H4IWLHHHfffff.CHCHHIHuK HCHCHC$HCHCC8HC0HC(CLHCDHC<C`HCXHCPCtHClHCdǃHǃHCxǃHǃHǃHàI)L,M&INL)HHHHH?HHHLI^MnMLH[A\A]A^A_]IGLHt5HCHCHI^HI^IHuHfff.CHCHIFHHIN@$H@H@IFHHIN@$H@H@IFHHIN@$H@H@I^HI^IkH[A\A]A^A_]HK H}E11?L@UHLHHcHHc4A4HcDA+4HcDA+4HcD A4*YL0HcDAHctA+HctA+HctA*YD4XL8W.u{3HcD AHct$A+Hct(A+HcL,AW*YXY]ff.UHAWAVAUATSPIL/H_IM)IIGHH<ILgM)LHHH9w]II9LBM]H}M9vGHH5ErHHHHH5HHH}MLHH}IJ 8IIAB8ND8L9HCL)Ht%HHfCHFHHuHps _HHprVHfDCCFCFCFCFCFCFCHÀFHƀI9uHHHHLGLgMtLH[A\A]A^A_]H[A\A]A^A_]E11IHLUHAWAVAUATSH(HIMnM~LL)HH9I>I)MIIHH>5H?I)LHHH9H]H}wsII9LBMI9v^HH59pHHHHH5HHH4LIDIF~IJ<N$HEJHEL}J4LO$MH]~H}HLHEIMfHEIFHtHH([A\A]A^A_]H([A\A]A^A_]E11yLIHLUHAWAVAUATSHIIIuMeI)MIIGHH> H?MuI)LHHH9w`II9LBMLEHuI9vKHH5nHHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSHIIIuMeI)MIIGHH=HMuI)LHHH9waII9LBMLEHuI9vKHH5:mHHHHH5HHLEHuIJ<HHuLEN4IJN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLffff.UHAWAVAUATSH(HIMnM~LL)HH9I>I)MIIHH=6HI)LHHH9H]H}wtII9LBMI9v^HH5kHHHHH5HHH4LIDIF~IJ<N$HEJHEL}J4LO$MH]~H}HLHEIMfHEIFHtHH([A\A]A^A_]H([A\A]A^A_]E11yLIHLffffff.UH]f.UH]fDUHAVSII^HtH;Ht H{HIL[A^]`UHAWAVAUATSHIH3333333HH_H)HIIHsH9RH}HOH)HIHH9wHH9HBHH HHMHH<IHHILAoAIVITAVATAoN AL IL0IL@IL8IDHID@fH~Ht-AANM$+ID8IN8HHHHIHH%f:M$~IDLLI\$PHML)LqM9IưIfDID$AAD$INIL$ANAL$AoF AD$ID$ID$ID$ID$ID$fH~Ht@A~IF8HIT$H H@HBAD$LHǰLIİKD.IưHQHML1LiMHEHHIL!HYLyM9tfIŰLM9uMtLH[A\A]A^A_]H[A\A]A^A_]1HEE1ILL9u&IL9tffff.HðHI9uMtLLf.UHAWAVATSIII^IFHH)HHHL9I I6H)HHJ;L9H)HHHeffffffH9wHH9HBHIJH<H H ILHeHHʐBHBHHIHuK4HBHBHB$HBHBB8HB0HB(BLHBDHB<B`HBXHBPBtHBlHBdǂHǂHBxǂHǂHǂH I)HI>IvH9t3f^Y^Y^YH^HvHYHH9uI>IIVIFH[A\A^A_]IGLHt2HDCHCHI^HI^IHuHfff.CHCHIFHHIN@$H@H@IFHHIN@$H@H@IFHHIN@$H@H@I^HI^Ik[A\A^A_]HK4HE11bLf.UH]f.UH]fDUHAVSII^HtH;Ht H{HIL[A^]`UH]f.UH]fDUHAVSII^HtH;Ht H{HIL[A^]`UHAWAVATSIII^MfLH)HL9IH)HJ;HH:YHI)LHHH9II9LBMI9HH5bHHHHH5HHIGLHt^HDC<HC4HC,HC$HCHCHC HCI^H@I^IHuH7C<HC4HC,HC$HCHCHC HCIFHH@IN@@@|H@tH@lH@dH@\H@TH@LH@DIFHH@IN@@@|H@tH@lH@dH@\H@TH@LH@DIFHH@IN@@@|H@tH@lH@dH@\H@TH@LH@DI^H@I^IILHHLIwLHHLB<HB4HB,HB$HBHBHB HBH@IHuIH@B<HB4HB,HB$HBHBHB HBB@B|HBtHBlHBdHB\HBTHBLHBDƂǂHǂHǂHǂHǂHǂHǂHǂƂǂHǂHǂHǂHǂHǂHǂHǂƂǂ<Hǂ4Hǂ,Hǂ$HǂHǂHǂ HǂƂ@ǂ|HǂtHǂlHǂdHǂ\HǂTHǂLHǂDƂǂHǂHǂHǂHǂHǂHǂHǂƂǂHǂHǂHǂHǂHǂHǂHǂHI6II>INH9taHqH)HDff.YXA@A@A@YXYXYHIHH9uHHII>MIVMfHt [A\A^A_][A\A^A_]LIHTE11LIHLDUH]f.UH]fDUHSPHH{HtHPHHH[]`fUHAWAVAUATSPIIMfMnLL)HL9II)IKIVL)I)H~LILLM&I^IFMtLH[A\A]A^A_]H[A\A]A^A_]LIHE11rLIHLDUH]f.UH]fDUHAVSII^HtH;Ht H{HIL[A^]`UH]f.UH]fDUHAVSII^HtH;Ht H{HIL[A^]`UHAWAVATSHIM~MfLL)HH9II)IIHH<2HI)LHHH9II9LBMI9HH5THHHHH5HHHCHHt+HDIGIM~IM~HHuHYIGIIFHHINH@H@IFHHINH@H@IFHHINH@H@M~IM~HuILHIIHSHHHLfHAHHHHuIHHAHHAHAHA(HA HA8HA0HAHHA@HAXHAPHAhHA`HAxHApHHsLI>IvH9LFI)DHt;HLDFHCHHuIpsoLIHLIprSHFFCFCFCFCFCFCFHƀCHÀH9uIIMI>M>INIFHt [A\A^A_][A\A^A_]E11 LIHLfff.UH]f.UH]fDUHSPHH{HtHPHHH[]`fUHAWAVAUATSPIIMfMnLL)HL9II)IKIVL)I)H~LILLM&I^IFMtLH[A\A]A^A_]H[A\A]A^A_]LIHE11]LIHLffff.UH]f.UH]fDUHSPHHCHEH}Ht HHPH[]ÐUHAWAVAUATSPIL/H_IM)IIGHH<ILgM)LHHH9w]II9LBM]H}M9vGHH5IHHHHH5HHH}MLHH}IJ 8IIAB8ND8L9HCL)Ht%HHfCHFHHuHps _HHprVHfDCCFCFCFCFCFCFCHÀFHƀI9uHHHHLGLgMtLH[A\A]A^A_]H[A\A]A^A_]E11IHLUHAWAVAUATSHIIIuMeI)MIIGHH> H?MuI)LHHH9w`II9LBMLEHuI9vKHH5GHHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVATSHIM~MfLL)HH9II)IIHH<2HI)LHHH9II9LBMI9HH5FHHHHH5HHHCHHt+HDIGIM~IM~HHuHYIGIIFHHINH@H@IFHHINH@H@IFHHINH@H@M~IM~HuILHIIHSHHHLfHAHHHHuIHHAHHAHAHA(HA HA8HA0HAHHA@HAXHAPHAhHA`HAxHApHHsLI>IvH9LFI)DHt;HLDFHCHHuIpsoLIHLIprSHFFCFCFCFCFCFCFHƀCHÀH9uIIMI>M>INIFHt [A\A^A_][A\A^A_]E11 LIHLfff.UHAWAVAUATSHIIIuMeI)MIIGHH> H?MuI)LHHH9w`II9LBMLEHuI9vKHH5BHHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSHIIIuMeI)MIIGHH> H?MuI)LHHH9w`II9LBMLEHuI9vKHH5{AHHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSHIIIuMeI)MIIGHH> H?MuI)LHHH9w`II9LBMLEHuI9vKHH5 @HHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSHIIIuMuI)MIIGHH<HMeI)LHHH9waII9LBMLEHuI9vKHH5>HHHHH5HHLEHuILHHHuLEIIIIIHJL;J;N|;M~HLILI]M}MeHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSHIIIuMuI)MIIGHH<HMeI)LHHH9waII9LBMLEHuI9vKHH5=HHHHH5HHLEHuILHHHuLEIIIIIHJL;J;N|;M~HLILI]M}MeHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UH]f.UH]fDUHSPHH{HtHPHHH[]`?H7@' @0@恀hh-  E B^ fK p,4yGI  A      }uc n) _!(  0IA&&Z@ Rc tlIA++bF Zk |tIA00jL bs | .bCv,ZX:n & . '1:k4: C0 D9IA[>>`)fYymS42?y*si uOOyr w  IAImAdq'1hcc! -0QfT; IA   T:Llzr4OOYQIۂtt   ]&GR 1 [a'n' %|C t(b) !  o  z? O     րNJ2  *%2; LDIAIjAdqրN!" N% 6.րN^.t.r.p1'1hWZYz[&"H p#4OOh+d7+z~ 80x!IAIjAdqրN!t lw )'_ Rh  ^P'B*"MP'  #Qi u L:  //~7S|[lQzDIotr րNFF] " }uCC"     hGG"    IA  ||  ?DWW   Q-p ?R2L 0H.v , & p (~+  2c- '-'' #._**QE Q %     x w   2: @ 'r ' ' . *7 *a ( s %Q=D\   3 D= {f wxaIAImAdqIAIjAdqIAIjAdqIAIjAdqIAIjAdqEE^ -M0,<)6 )J "47 QUI- W) o  o : v A qn V (NQ&"I~Af9va !h$ll,||eG{k w)'7 2yNN o%~ v*l@#j6_] Onlj lUWc1 no Zhb  h5P DV;8P0twIAD c tl??H)|"| t1CR Hk9%y l) u@T h`ń6sY4% `zs[%B :Jx]i8g*!Xe "8! !m { So  ~ $V ?  6 | _ k   ,E S  )'7)'7)'7)'7'#@ZCրN&Gm~'#@ZC #< #<"""*&P55 =M[Sww"] ?F"G  77J U` qiEEISGn"1 )AI  !4 ?R c[GGVUTp"> 6KV .A L_ phFFiTgo"Q IYi) AT _r {րNFF!g p րNKK!l u& րNFF!g p րNFF!g p րNKK!l u& րNKK!l u) 4 /}u!d \!F >I Tg xp}u!h  `!J BM Xk |t'<?]w- 2y;; >   9  6" >.IA||!  )'Z)')'O)'P)'4?? )')'8)')'P)'Z)'O)')'O)'O)'O)'_)'_??h㈵>???????????jls{ZҔB{ЕGf^Sך#void cv::groupRectangles(std::vector &, int, double, std::vector *, std::vector *)/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/objdetect/src/cascadedetect.cppvoid cv::groupRectangles(std::vector &, int, double)void cv::groupRectangles(std::vector &, std::vector &, int, double)void cv::groupRectangles(std::vector &, std::vector &, std::vector &, int, double)void cv::groupRectangles_meanshift(std::vector &, std::vector &, std::vector &, double, cv::Size)virtual bool cv::FeatureEvaluator::setImage(cv::InputArray, const std::vector &)rectstiltedn > 0readvirtual void cv::HaarEvaluator::computeChannels(int, cv::InputArray)sqsum.u == u && sqsum.size() == s.szi && sqsum.type()==4computeChannelsvirtual void cv::HaarEvaluator::computeOptFeatures()rect0 <= scaleIdx && scaleIdx < (int)scaleData->size()setWindowint cv::CascadeClassifierImpl::runAt(Ptr &, cv::Point, int, double &)-D LOCAL_SIZE_X=%d -D LOCAL_SIZE_Y=%d -D SUM_BUF_SIZE=%d -D SUM_BUF_STEP=%d -D NODE_COUNT=%d -D SPLIT_STAGE=%d -D N_STAGES=%d -D MAX_FACES=%d -D HAAR-D LOCAL_SIZE_X=%d -D LOCAL_SIZE_Y=%d -D NODE_COUNT=%d -D SPLIT_STAGE=%d -D N_STAGES=%d -D MAX_FACES=%d -D HAARrunHaarClassifier-D LOCAL_SIZE_X=%d -D LOCAL_SIZE_Y=%d -D SUM_BUF_SIZE=%d -D SUM_BUF_STEP=%d -D SPLIT_STAGE=%d -D N_STAGES=%d -D MAX_FACES=%d -D LBP-D LOCAL_SIZE_X=%d -D LOCAL_SIZE_Y=%d -D SPLIT_STAGE=%d -D N_STAGES=%d -D MAX_FACES=%d -D LBPrunLBPClassifierStumpSimplevoid cv::CascadeClassifierImpl::detectMultiScaleNoGrouping(cv::InputArray, std::vector &, std::vector &, std::vector &, double, cv::Size, cv::Size, bool)virtual void cv::CascadeClassifierImpl::detectMultiScale(cv::InputArray, std::vector &, std::vector &, std::vector &, double, int, int, cv::Size, cv::Size, bool)scaleFactor > 1 && _image.depth() == 0detectMultiScalevirtual void cv::CascadeClassifierImpl::detectMultiScale(cv::InputArray, std::vector &, double, int, int, cv::Size, cv::Size)virtual void cv::CascadeClassifierImpl::detectMultiScale(cv::InputArray, std::vector &, std::vector &, double, int, int, cv::Size, cv::Size)scaleFactor > 1 && image.depth() == 0stageTypeBOOSTfeatureTypeHAARLBPHOGHOG cascade is not supported in 3.0widthheightorigWinSize.height > 0 && origWinSize.width > 0featureParamsmaxCatCountstagesstageThresholdweakClassifiersinternalNodesleafValuesfeaturesa->size() == nclipObjectsb->size() == nvoid cv::CascadeClassifier::detectMultiScale(cv::InputArray, std::vector &, double, int, int, cv::Size, cv::Size)void cv::CascadeClassifier::detectMultiScale(cv::InputArray, std::vector &, std::vector &, double, int, int, cv::Size, cv::Size)void cv::CascadeClassifier::detectMultiScale(cv::InputArray, std::vector &, std::vector &, std::vector &, double, int, int, cv::Size, cv::Size, bool)isOldFormatCascadegetOriginalWindowSizegetFeatureTypegetOldCascadesetMaskGeneratorgetMaskGeneratorallocator::allocate(size_t n) 'n' exceeds maximum supported sizetotal() == 0 || data != __nullMat/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/mat.inl.hppStep must be a multiple of esz1getScaleData/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/objdetect/src/cascadedetect.hppvirtual void cv::CascadeClassifierInvoker::operator()(const cv::Range &) const!_seq || _seq->elem_size == sizeof(_Tp)Seq/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/core_c.hnodes[root][PARENT] < 0partition/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/operations.hppint cv::predictOrderedStump(cv::CascadeClassifierImpl &, Ptr &, double &) [FEval = cv::HaarEvaluator]!cascade.data.stumps.empty()predictOrderedStumpint cv::predictCategoricalStump(cv::CascadeClassifierImpl &, Ptr &, double &) [FEval = cv::LBPEvaluator]predictCategoricalStumpint cv::predictOrdered(cv::CascadeClassifierImpl &, Ptr &, double &) [FEval = cv::HaarEvaluator]int cv::predictCategorical(cv::CascadeClassifierImpl &, Ptr &, double &) [FEval = cv::LBPEvaluator]N2cv16FeatureEvaluatorEN2cv13HaarEvaluatorEN2cv12LBPEvaluatorEN2cv21BaseCascadeClassifierEN2cv21CascadeClassifierImplEN2cv24CascadeClassifierInvokerEN2cv6detail12PtrOwnerImplI12CvMemStorageNS_14DefaultDeleterIS2_EEEEN2cv6detail8PtrOwnerEN2cv6detail12PtrOwnerImplINSt3__16vectorINS_16FeatureEvaluator9ScaleDataENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEEN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEEN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEEN2cv6detail12PtrOwnerImplINS_13HaarEvaluatorENS_14DefaultDeleterIS2_EEEEN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEEN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEEN2cv6detail12PtrOwnerImplINS_12LBPEvaluatorENS_14DefaultDeleterIS2_EEEEN2cv6detail12PtrOwnerImplI23CvHaarClassifierCascadeNS_14DefaultDeleterIS2_EEEEN2cv6detail12PtrOwnerImplINS_21CascadeClassifierImplENS_14DefaultDeleterIS2_EEEES֟=֟d8֟֟ XAc XAd@|!AeaAheP AeXAfAf !Af  A gLA@g0 @PXA`g`! XAg+!Ah,[XP/ 36A$i7 78XAXi = A(jAa!Atj C& XAjPMTXAlOQ!AplS(!T>aAl V@V PVa@W Am`\ p\AtmP] `]]XAmpa ADn@b!AnPc An f^Xg h!A`oj Aokr!Ap p2XA4p`u2u u uApw www Ap{ ~ Axq` pXAr&XAdrXArXAXsЊXAsLAsЎ# XAs!Aw!ALw!AwЧ!Aw!A0xXX` ЭXA|x`XAz`Az@XAzXA8||XA| pXA|2XA ~/XAXXAXAXA܀0Pb!A A<b!A@DÁDAc ApyXAkXA(`xXAXAHp!A؄ aA4!A!A@aAHaA  {X1XXA pX aX X j 7XPXA<aAXA0XAd@!A "FXAp&& &1&A\'lX ++XA-XAԉ/bXA0cXA,`2XAX4 4 049!p4XA`7F :: :9!; ; 0;9!p; A0B@B PB'BKXAHH H9!0I@I PI9!I A0M@M PM'McXADST T/@TXAp0VbXAW Aȋ@[bXA\bXA  ^bXAL_rXAxarXAbb b'zPLRx 4$: AC P4\D3AC P,I|{AC G,JAC I4`JAC K4,JǟAC P,d`Q;AC BzRx $R AC $DRAC B,RןAC G$SAC $S AC $xSAC 4`SoAC K,VLWAC E$|(V AC $VAC 4\UAC M4X  AC P,8bAC J,lc[AC P$(fAC $iAC ,|xmAC B$(n AC $DnAC B4nOAC M44rAC G,lHwaAC C4x&  AC P4T3AC M$|AC ,4/AC J$P(AC C,X>#AC I$,hAC $T` AC $|HAC I44נAC G$ AC ,ӠAC B$4 AC $\xAC B4pAC P4L(AC G,AC C4+AC N,\8^AC J$hAC A,D AC J4t +AC K, rOAC C4 H2KAC M$P2AC $h AC $P AC , 8AC B$, ا AC $T AC B$| AC 44 AC N, AC G4 (ϠAC K$D AC 4 xAC M44 `&#AC M4l XkAC P4 @AC M4 AC P, pLAC $ #AC $ AC 4 CAC P, 8'AC J, CAC J,,_AC J,\x{AC J,8AC J,, AC J,\ AC J$ HAC $ @AC $ 8AC $0 AC 4AC P4pAC J,,8AC B4\AC P4AC M4|ӦAC P4 pAC P$X2AC 4dpAC P4/AC J4AC J4 AC J4DAC J$XAC $PAC $<8AC $d AC $AC ,DbAC C4tPAC G,(bߨAC C,hDAC B, D˨AC B$AC 4dcAC K4yAC M4 kGAC M4 XxAC M4DAC M,|OAC G,x{AC I,AC G, ӪAC G,< AC I,l +AC I$ (!AC $4!AC $\ AC $ AC $ AC , {AC I$"AC $,!AC $T!AC ,|!1AC P4<%AC P,)pAC P,+aAC M,D0-AC J,t.jAC G,17AC J4d2˨AC M,85AC F4< AC M40?SAC M,<BOAC B4lBF7AC P$FAC $<F AC $dF1AC B,F3AC E,hGlAC J$JAC 4PKAC J4MAC M4pNbߨAC M4LOcӨAC M4PǨAC M$,XRAC $T@R AC $|(R9AC C44@RCAC M,TFAC G$ XAC $4X AC $\W9AC C$XAC $W AC $W9AC C4W'AC G$4p^AC $\X^ AC $@^'AC B4<H^KAC J$`dAC $ Hd AC $40d9AC C$\HdAC $0d AC $d9AC C4d 0dAC G$ gAC $4g AC $\hg'AC B4!pgc#AC J$mAC $m AC $ xm/AC B4!mAC J4!8obAC M44"ppAC G4l"sb{AC M4"uboAC M4"HvbcAC M4#wrWAC M4L#xrKAC M$!zAC $"y AC $D"y'AC Bb-~b-vb-kb-Mb-#b-a-a-a=a=a=a-aa-`-`-`-`-`-e`-N`-F`=?`=1`=*`-"``-~_-v_-k_-M_-#_-^-^-^=^=^=^-^^-^-^-]-]-]-]-m]-e]=^]=P]=I]-A]7]-\-\-\-m\-C\-\-[-[=[=[=[-[[-0[-([-[-[-5Y-gX-_X=XX=JX=CX-;X1X-W-W-{W-]W-3W-W-V-V=V=V=V-VV-)V-!V-V-U-U-T-T=T=T=T-TT-&T-T-S-S-S-S-oS-!P-JN-BN=;N=-N=&N-NN-FM- M-M- M-L-%K-WJ-OJ=HJ=:J=3J-+J!J-xI-pI-FI-I-I-H-H-H-H-H-WH-E-JC-BC=;C=-C=&C-CC-FB-'B-B-B-A->-7<-/<=(<=<=<- <<-X;-P;-&;-:-:-:-:-9-7-R7-J7-87- 7-6-6-t6-5-4-X4-P4-&4-3-3-3-3-3-3-[3-@3-03-(3=!3=3= 3-32-O2-G2-<2-2-1-1-1-1=1=1=1-1x1-0-0-0-0-0-U0-=0-50=.0= 0=0-00-|/-t/-i/-H/-/-.-.-.-.-.=.=.=.-.y.---------,-,-,=,=,=,-w,m,-+-)-)-O(-'-'-'-'-r'-i'-V'O''-&-&-b&-Z&-R&-J&-%-%-%-C%-7%;-%-$6-$B-$6-Q$-#-q#-I"-=""-"-"-!-!-s!-L!l-!-%!-!-!-!- -) -p-Sl ---------ng)---N---a--!---k--?-_--\--------6----[-R-?8-C-%----< - - -W - - - -n -9 - ---- ------;!-!-x:->:-9-<--|-j-=-8---------q-h-UN:-------z-3-+-#------{-s-g-L-C-0)-------unZ-- ------g-_-W-C-9---%----v-m-YR>-- S-------{-l-[-----QW-O-G-3-)-------|-haM-%-O---------v=-BD-7--v-b[9----_-W-1-)---W-Cq0-&----.-&------q-----j-----===-v-]-4-----===--i-@-----===--m-D- ----===--y-O- -----y-?-3-'-------1----~-m-a?-0---s-G-;B----o-W-*--2-c-K----C-s@-Z-F3-'.----%---/---1-wg->-9--H---0--e-V- ----P-------~6- ----m-^E-@5&-----|-d-Z-------z-h-M-7----M-&-----F-D-<---S-- -c-[-OA--------w--?--D-7--j(-)--bmT-B-----------8-------y-d- --<------zr-fZ-n-2-&---{-o;/-'----llO-G-<-4=-==-----S-K-C-----------e------M-l- ----i-\--ҿ-ȿ-l-B---ܾ-Ǿ---N-'-ͽ--~-r-Z--l-k--_------׸----.--̶--]-6- >--- ---Ѳ-IJ--x->- ;-?-;-ɮ-&--7?-,-- ----լ-Ȭ--r-_-L-9-+------۫----)----o-J-----9-----Z- ----I-%----j--ѥ-ɥ--Y-5-!---z-,--٣-ѣ-i-E-1-͢---<----ȡ---)-ؠ-Р-----e-2-*-|-h-[-L-D-<-4-'-- ----՝-ȝ---=w-9-*----}-L--------ךК-˚=Ě--t--ԙ6-;----m-a--֗--m-?- -ؖ-U-G-?-*#-=-ѕ-ŕ--N-B-(--~7--EG--=--FG---t-Q--h-ؐ---fX---D=Ȏ-p-T--yˊ-Ê----‰--wΈ-ƈ------r-l-c-OH--}-----x-p-C--8-/-݂--{}-u-m-[-O-=-- ---*f-N-F-8- --\-I---J-#---~-~-~-S~-}-c}-}-|-:|-{-{-{-{-{-{-y{-d{-R{-z-z-z-z-z-pznbz-Pz-Az4z-z-y-y-y-wy-]y-Qy-Ey-x-x-x-x-x-}x-kx-[x-w-w-w-~w-vw-nw-fw-Xw-Fw-4w-"w-w-v-;v-/v-#v-v- v-u-u-u-u-uku-u-u-Nu-Fu->u-+u-u-u-t-t-t-t-t-s-s-s-s-s-s-xs-js-Hs-P?p= `RO CP R 3Q S I `sL H K `M = ȩ2= p< P< 0+> > = Ф O O Q 0P R ШI K 0G `J mM `d= @=@t<< >>= 0N O Q xP hR H 8K G xJ 8L _Y PY HU xbV ph h *l (l ~m m xI#a#*4,'GD  A6 A@;?<45 oB4F<%6B 4 #|eO i @9\    b b!D!6S"!547%   7 '9 e?^ '[;6>>o>TL[bk#.p#q#$#U#@#bZ__ZN2cv6formatEPKcz_memcpy_cvCvtSeqToArray___cxa_throw__ZSt9terminatev__ZdlPv__ZdaPv__ZN2cv8fastFreeEPv__ZNK2cv17CascadeClassifier5emptyEv__ZNK2cv21CascadeClassifierImpl5emptyEv__ZNK2cv3ocl6Kernel5emptyEv__ZN2cv5utils5trace7details6Region7destroyEv__ZN2cv7noArrayEv__ZN2cv3ocl6Device10getDefaultEv__ZNK2cv13HaarEvaluator16getSquaresOffsetEv__ZNK2cv13HaarEvaluator11getNormRectEv__ZNK2cv3ocl6Device15maxComputeUnitsEv__ZN2cv16FeatureEvaluator7getMatsEv__ZN2cv13HaarEvaluator18computeOptFeaturesEv__ZN2cv16FeatureEvaluator18computeOptFeaturesEv__ZN2cv12LBPEvaluator18computeOptFeaturesEv__ZN2cv17CascadeClassifier16getMaskGeneratorEv__ZN2cv21CascadeClassifierImpl16getMaskGeneratorEv__ZN2cv32createFaceDetectionMaskGeneratorEv__ZNKSt3__120__vector_base_commonILb1EE20__throw_length_errorEv__ZN2cv9Algorithm5clearEv__ZN2cv16FileNodeIteratorppEv__ZN2cv5Mutex6unlockEv__ZN2cv5Mutex4lockEv__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_16FeatureEvaluator9ScaleDataENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplI12CvMemStorageNS_14DefaultDeleterIS2_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplI23CvHaarClassifierCascadeNS_14DefaultDeleterIS2_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplINS_13HaarEvaluatorENS_14DefaultDeleterIS2_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplINS_12LBPEvaluatorENS_14DefaultDeleterIS2_EEE10deleteSelfEv__ZN2cv6detail12PtrOwnerImplINS_21CascadeClassifierImplENS_14DefaultDeleterIS2_EEE10deleteSelfEv__ZNK2cv8FileNode4sizeEv__ZNK2cv17CascadeClassifier21getOriginalWindowSizeEv__ZNK2cv21CascadeClassifierImpl21getOriginalWindowSizeEv__ZN2cv4UMat10deallocateEv__ZN2cv3Mat10deallocateEv__ZN2cv6String10deallocateEv__ZN2cv11FileStorage7releaseEv__ZNK2cv13HaarEvaluator14getFeatureTypeEv__ZNK2cv16FeatureEvaluator14getFeatureTypeEv__ZNK2cv12LBPEvaluator14getFeatureTypeEv__ZNK2cv17CascadeClassifier14getFeatureTypeEv__ZNK2cv21CascadeClassifierImpl14getFeatureTypeEv__ZNK2cv13HaarEvaluator5cloneEv__ZNK2cv16FeatureEvaluator5cloneEv__ZNK2cv12LBPEvaluator5cloneEv__ZNK2cv9Algorithm14getDefaultNameEv__ZNKSt3__120__vector_base_commonILb1EE20__throw_out_of_rangeEv__ZNK2cv17CascadeClassifier18isOldFormatCascadeEv__ZNK2cv21CascadeClassifierImpl18isOldFormatCascadeEv__ZN2cv17CascadeClassifier13getOldCascadeEv__ZN2cv21CascadeClassifierImpl13getOldCascadeEv__ZNK2cv11_InputArray4kindEv__ZN2cv3ocl17isOpenCLActivatedEv__ZNK2cv11FileStorage8isOpenedEv__ZN2cv3ocl8internal14isOpenCLForcedEv__ZNK2cv3ocl8internal12ProgramEntrycvRNS0_13ProgramSourceEEv__ZNK2cv3ocl6Device8vendorIDEv__ZN2cv16ParallelLoopBodyD2Ev__ZN2cv13HaarEvaluatorD2Ev__ZN2cv16FeatureEvaluatorD2Ev__ZN2cv12LBPEvaluatorD2Ev__ZN2cv21BaseCascadeClassifierD2Ev__ZN2cv17CascadeClassifierD2Ev__ZN2cv9AlgorithmD2Ev__ZN2cv21CascadeClassifierImplD2Ev__ZN2cv13HaarEvaluatorC2Ev__ZN2cv12LBPEvaluatorC2Ev__ZN2cv17CascadeClassifierC2Ev__ZN2cv9AlgorithmC2Ev__ZN2cv21CascadeClassifierImplC2Ev__ZN2cv21CascadeClassifierImpl4DataC2Ev__ZN2cv5MutexD1Ev__ZN2cv4UMatD1Ev__ZN2cv13HaarEvaluatorD1Ev__ZN2cv16FeatureEvaluatorD1Ev__ZN2cv12LBPEvaluatorD1Ev__ZNSt12length_errorD1Ev__ZN2cv24CascadeClassifierInvokerD1Ev__ZN2cv21BaseCascadeClassifierD1Ev__ZN2cv17CascadeClassifierD1Ev__ZN2cv21CascadeClassifierImplD1Ev__ZN2cv3ocl6KernelD1Ev__ZN2cv3ocl5QueueD1Ev__ZN2cv11FileStorageD1Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED1Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED1Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED1Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED1Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_16FeatureEvaluator9ScaleDataENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED1Ev__ZN2cv6detail12PtrOwnerImplI12CvMemStorageNS_14DefaultDeleterIS2_EEED1Ev__ZN2cv6detail12PtrOwnerImplI23CvHaarClassifierCascadeNS_14DefaultDeleterIS2_EEED1Ev__ZN2cv6detail12PtrOwnerImplINS_13HaarEvaluatorENS_14DefaultDeleterIS2_EEED1Ev__ZN2cv6detail12PtrOwnerImplINS_12LBPEvaluatorENS_14DefaultDeleterIS2_EEED1Ev__ZN2cv6detail12PtrOwnerImplINS_21CascadeClassifierImplENS_14DefaultDeleterIS2_EEED1Ev__ZN2cv5MutexC1Ev__ZN2cv13HaarEvaluatorC1Ev__ZN2cv12LBPEvaluatorC1Ev__ZN2cv17CascadeClassifierC1Ev__ZN2cv21CascadeClassifierImplC1Ev__ZN2cv3ocl6KernelC1Ev__ZN2cv3ocl5QueueC1Ev__ZN2cv21CascadeClassifierImpl4DataC1Ev__ZN2cv13HaarEvaluatorD0Ev__ZN2cv16FeatureEvaluatorD0Ev__ZN2cv12LBPEvaluatorD0Ev__ZN2cv24CascadeClassifierInvokerD0Ev__ZN2cv21BaseCascadeClassifierD0Ev__ZN2cv21CascadeClassifierImplD0Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED0Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED0Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED0Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED0Ev__ZN2cv6detail12PtrOwnerImplINSt3__16vectorINS_16FeatureEvaluator9ScaleDataENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEED0Ev__ZN2cv6detail12PtrOwnerImplI12CvMemStorageNS_14DefaultDeleterIS2_EEED0Ev__ZN2cv6detail12PtrOwnerImplI23CvHaarClassifierCascadeNS_14DefaultDeleterIS2_EEED0Ev__ZN2cv6detail12PtrOwnerImplINS_13HaarEvaluatorENS_14DefaultDeleterIS2_EEED0Ev__ZN2cv6detail12PtrOwnerImplINS_12LBPEvaluatorENS_14DefaultDeleterIS2_EEED0Ev__ZN2cv6detail12PtrOwnerImplINS_21CascadeClassifierImplENS_14DefaultDeleterIS2_EEED0Ev___dynamic_cast__ZTVSt12length_error__ZTISt12length_error__ZN2cv3SeqI9CvAvgCompEC2EPK5CvSeq_exp_strcmp___bzero___cxa_allocate_exception___cxa_free_exception__Znwm__ZN2cv3MatC2EiiiPvm__ZN2cv3MatC2ENS_5Size_IiEEiPvm__ZN2cv3ocl9KernelArgC1EiPNS_4UMatEiiPKvm__ZN2cv3ocl6Kernel3setEiPKvm__ZN2cv16FileNodeIteratorC1EPK13CvFileStoragePK10CvFileNodem__Znam__ZNSt3__16vectorIiNS_9allocatorIiEEE7reserveEm__ZNSt3__16vectorIfNS_9allocatorIfEEE7reserveEm__ZNSt3__16vectorIN2cv21CascadeClassifierImpl4Data5StageENS_9allocatorIS4_EEE7reserveEm__ZNSt3__16vectorIN2cv21CascadeClassifierImpl4Data5DTreeENS_9allocatorIS4_EEE7reserveEm__ZNSt3__16vectorIN2cv21CascadeClassifierImpl4Data9DTreeNodeENS_9allocatorIS4_EEE7reserveEm__ZN2cv6String8allocateEm__ZNSt3__16vectorIiNS_9allocatorIiEEE8__appendEm__ZNSt3__16vectorIdNS_9allocatorIdEEE8__appendEm__ZNSt3__16vectorIN2cv13HaarEvaluator10OptFeatureENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv12LBPEvaluator10OptFeatureENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv13HaarEvaluator7FeatureENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv12LBPEvaluator7FeatureENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv16FeatureEvaluator9ScaleDataENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv7Point3_IdEENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorI9CvAvgCompNS_9allocatorIS1_EEE8__appendEm___stack_chk_fail___cxa_pure_virtual__ZN2cv8integralERKNS_11_InputArrayERKNS_12_OutputArrayES5_S5_ii__ZN2cv4readERKNS_8FileNodeERii__ZN2cv3Mat6createEiPKii__ZN2cv8cvtColorERKNS_11_InputArrayERKNS_12_OutputArrayEii__ZN2cv13HaarEvaluator10OptFeature10setOffsetsERKNS0_7FeatureEii__ZN2cv6resizeERKNS_11_InputArrayERKNS_12_OutputArrayENS_5Size_IiEEddi__ZN2cv17MeanshiftGroupingC2ERKNS_7Point3_IdEERKNSt3__16vectorIS2_NS5_9allocatorIS2_EEEERKNS6_IdNS7_IdEEEEdi__ZN2cv5errorEiRKNS_6StringEPKcS4_i__ZNK2cv11FileStorage4rootEi__ZNK2cv4UMat6getMatEi__ZNK2cv16FeatureEvaluator7calcCatEi__ZNK2cv12LBPEvaluator7calcCatEi__ZNK2cv11_InputArray8channelsEi__ZNK2cv13HaarEvaluatorclEi__ZNK2cv11_InputArray5depthEi__ZNK2cv11_InputArray4sizeEi__ZN2cv16FeatureEvaluator6createEi__ZN2cv12LBPEvaluator10OptFeature10setOffsetsERKNS0_7FeatureEi__ZNK2cv13HaarEvaluator7calcOrdEi__ZNK2cv16FeatureEvaluator7calcOrdEi__ZNK2cv16FeatureEvaluator12getScaleDataEi__ZNK2cv11_InputArray7getMat_Ei__ZN2cv13HaarEvaluator9setWindowENS_6Point_IiEEi__ZN2cv16FeatureEvaluator9setWindowENS_6Point_IiEEi__ZN2cv12LBPEvaluator9setWindowENS_6Point_IiEEi___cxa_begin_catch_log__ZN2cv4readERKNS_8FileNodeERff_memmove___clang_call_terminate__Unwind_Resume_cvCreateMemStorage_cvReleaseHaarClassifierCascade___stack_chk_guard__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEEid__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEERNS1_IdNS4_IdEEEEid__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEid_cvLoad__ZN2cv21CascadeClassifierImpl5runAtERNS_3PtrINS_16FeatureEvaluatorEEENS_6Point_IiEEiRd__ZN2cv19predictOrderedStumpINS_13HaarEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERd__ZN2cv14predictOrderedINS_13HaarEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERd__ZN2cv23predictCategoricalStumpINS_12LBPEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERd__ZN2cv18predictCategoricalINS_12LBPEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERd__ZN2cv13parallel_for_ERKNS_5RangeERKNS_16ParallelLoopBodyEd__ZN2cv17MeanshiftGrouping8getModesERNSt3__16vectorINS_7Point3_IdEENS1_9allocatorIS4_EEEERNS2_IdNS5_IdEEEEd__ZNK2cv8FileNodeixEPKc__ZNSt11logic_errorC2EPKc__ZN2cvL25detectMultiScaleOldFormatERKNS_3MatENS_3PtrI23CvHaarClassifierCascadeEERNSt3__16vectorINS_5Rect_IiEENS6_9allocatorIS9_EEEERNS7_IiNSA_IiEEEERNS7_IdNSA_IdEEEERNS7_I9CvAvgCompNSA_ISK_EEEEdiiNS_5Size_IiEESP_b__ZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdiiNS_5Size_IiEESJ_b__ZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdiiNS_5Size_IiEESJ_b__ZN2cv21CascadeClassifierImpl26detectMultiScaleNoGroupingERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESJ_b__Z25cvHaarDetectObjectsForROCPKvP23CvHaarClassifierCascadeP12CvMemStorageRNSt3__16vectorIiNS5_9allocatorIiEEEERNS6_IdNS7_IdEEEEdii6CvSizeSE_b__ZNSt3__16vectorIiNS_9allocatorIiEEE21__push_back_slow_pathIRKiEEvOT___ZNSt3__16vectorIiNS_9allocatorIiEEE21__push_back_slow_pathIiEEvOT___ZNSt3__16vectorIfNS_9allocatorIfEEE21__push_back_slow_pathIRKfEEvOT___ZNSt3__16vectorIfNS_9allocatorIfEEE21__push_back_slow_pathIfEEvOT___ZNSt3__16vectorIdNS_9allocatorIdEEE21__push_back_slow_pathIRKdEEvOT___ZNSt3__16vectorIN2cv21CascadeClassifierImpl4Data5DTreeENS_9allocatorIS4_EEE21__push_back_slow_pathIRKS4_EEvOT___ZNSt3__16vectorIN2cv21CascadeClassifierImpl4Data9DTreeNodeENS_9allocatorIS4_EEE21__push_back_slow_pathIRKS4_EEvOT___ZNSt3__16vectorIN2cv21CascadeClassifierImpl4Data5StumpENS_9allocatorIS4_EEE21__push_back_slow_pathIS4_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZNSt3__16vectorIN2cv7Point3_IdEENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIS3_EEvOT___ZNSt3__16vectorIN2cv4UMatENS_9allocatorIS2_EEE21__push_back_slow_pathIRKS2_EEvOT___ZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEEdiiNS_5Size_IiEESG___ZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEEdiiNS_5Size_IiEESG___ZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdiiNS_5Size_IiEESD___ZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdiiNS_5Size_IiEESD___ZNSt3__16vectorIN2cv7Point3_IdEENS_9allocatorIS3_EEE6assignIPS3_EENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIS3_NS_15iterator_traitsISA_E9referenceEEE5valueEvE4typeESA_SA___ZN2cv3ocl6Kernel4argsIiNS0_9KernelArgES3_S3_S3_S3_S3_S3_NS_5Rect_IiEEiNS_5Size_IiEEEERS1_RKT_RKT0_RKT1_RKT2_RKT3_RKT4_RKT5_RKT6_RKT7_RKT8_RKT9___ZN2cv3ocl6Kernel4argsIiNS0_9KernelArgES3_S3_S3_S3_S3_iS3_NS_5Size_IiEEEERS1_RKT_RKT0_RKT1_RKT2_RKT3_RKT4_RKT5_RKT6_RKT7_RKT8___ZNSt3__16vectorIdNS_9allocatorIdEEE6assignIPdEENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIdNS_15iterator_traitsIS7_E9referenceEEE5valueEvE4typeES7_S7___ZN2cv3ocl6Kernel6createEPKcRKNS0_13ProgramSourceERKNS_6StringEPS7___ZN2cv11FileStorageC1ERKNS_6StringEiS3___ZN2cv4readERKNS_8FileNodeERNS_6StringERKS3___ZN2cv4UMat5setToERKNS_11_InputArrayES3___ZNK2cv14DefaultDeleterI12CvMemStorageEclEPS1___ZNK2cv14DefaultDeleterI23CvHaarClassifierCascadeEclEPS1___ZN2cv21CascadeClassifierImpl4DataaSEOS1___ZN2cv3ocl6KernelaSERKS1___ZN2cv9partitionINS_5Rect_IiEENS_12SimilarRectsEEEiRKNSt3__16vectorIT_NS4_9allocatorIS6_EEEERNS5_IiNS7_IiEEEET0___ZN2cv4UMat8copySizeERKS0___ZN2cv3Mat8copySizeERKS0___ZN2cv13HaarEvaluatoraSERKS0___ZN2cv16FeatureEvaluatoraSERKS0___ZN2cv12LBPEvaluatoraSERKS0___ZTIN2cv16ParallelLoopBodyE__ZNK2cv11_InputArray6copyToERKNS_12_OutputArrayE__ZNK2cv4UMat6copyToERKNS_12_OutputArrayE__ZNK2cv3Mat6copyToERKNS_12_OutputArrayE__ZN2cv13HaarEvaluator15computeChannelsEiRKNS_11_InputArrayE__ZN2cv16FeatureEvaluator15computeChannelsEiRKNS_11_InputArrayE__ZN2cv12LBPEvaluator15computeChannelsEiRKNS_11_InputArrayE__ZN2cv24CascadeClassifierInvokerC2ERNS_21CascadeClassifierImplEiiPKNS_16FeatureEvaluator9ScaleDataEPKiRNSt3__16vectorINS_5Rect_IiEENS9_9allocatorISC_EEEERNSA_IiNSD_IiEEEERNSA_IdNSD_IdEEEEbRKNS_3MatEPNS_5MutexE__ZN2cv16copyVectorToUMatINS_21CascadeClassifierImpl4Data5StumpEEEvRKNSt3__16vectorIT_NS4_9allocatorIS6_EEEERNS_4UMatE__ZN2cv16copyVectorToUMatINS_21CascadeClassifierImpl4Data5StageEEEvRKNSt3__16vectorIT_NS4_9allocatorIS6_EEEERNS_4UMatE__ZN2cv16copyVectorToUMatINS_21CascadeClassifierImpl4Data9DTreeNodeEEEvRKNSt3__16vectorIT_NS4_9allocatorIS6_EEEERNS_4UMatE__ZN2cv16copyVectorToUMatINS_13HaarEvaluator10OptFeatureEEEvRKNSt3__16vectorIT_NS3_9allocatorIS5_EEEERNS_4UMatE__ZN2cv16copyVectorToUMatINS_12LBPEvaluator10OptFeatureEEEvRKNSt3__16vectorIT_NS3_9allocatorIS5_EEEERNS_4UMatE__ZN2cv16copyVectorToUMatINS_16FeatureEvaluator9ScaleDataEEEvRKNSt3__16vectorIT_NS3_9allocatorIS5_EEEERNS_4UMatE__ZN2cv16copyVectorToUMatIiEEvRKNSt3__16vectorIT_NS1_9allocatorIS3_EEEERNS_4UMatE__ZN2cv16copyVectorToUMatIfEEvRKNSt3__16vectorIT_NS1_9allocatorIS3_EEEERNS_4UMatE__ZN2cv4UMat6createEiPKiiNS_14UMatUsageFlagsE__ZTVN2cv13HaarEvaluatorE__ZTSN2cv13HaarEvaluatorE__ZTIN2cv13HaarEvaluatorE__ZTVN2cv16FeatureEvaluatorE__ZTSN2cv16FeatureEvaluatorE__ZTIN2cv16FeatureEvaluatorE__ZTVN2cv12LBPEvaluatorE__ZTSN2cv12LBPEvaluatorE__ZTIN2cv12LBPEvaluatorE__ZTSN2cv6detail8PtrOwnerE__ZTIN2cv6detail8PtrOwnerE__ZTVN2cv24CascadeClassifierInvokerE__ZTSN2cv24CascadeClassifierInvokerE__ZTIN2cv24CascadeClassifierInvokerE__ZTVN2cv21BaseCascadeClassifierE__ZTSN2cv21BaseCascadeClassifierE__ZTIN2cv21BaseCascadeClassifierE__ZTVN10__cxxabiv120__si_class_type_infoE__ZTVN10__cxxabiv117__class_type_infoE__ZTIN2cv9AlgorithmE__ZTVN2cv21CascadeClassifierImplE__ZTSN2cv21CascadeClassifierImplE__ZTIN2cv21CascadeClassifierImplE__ZN2cv3ocl6Kernel3setEiRKNS0_9KernelArgE__ZNK2cv9Algorithm4saveERKNS_6StringE__ZN2cv17CascadeClassifier4loadERKNS_6StringE__ZN2cv21CascadeClassifierImpl4loadERKNS_6StringE__ZN2cv17CascadeClassifierC2ERKNS_6StringE__ZN2cv17CascadeClassifierC1ERKNS_6StringE__ZN2cv3ocl6Kernel3runEiPmS2_bRKNS0_5QueueE__ZNK2cv24CascadeClassifierInvokerclERKNS_5RangeE__ZNK2cv9Algorithm5writeERNS_11FileStorageE__ZN2cv5utils5trace7details6RegionC1ERKNS3_21LocationStaticStorageE__ZN2cv17CascadeClassifier4readERKNS_8FileNodeE__ZN2cv9Algorithm4readERKNS_8FileNodeE__ZN2cv21CascadeClassifierImpl4readERKNS_8FileNodeE__ZN2cv13HaarEvaluator7Feature4readERKNS_8FileNodeE__ZN2cv12LBPEvaluator7Feature4readERKNS_8FileNodeE__ZN2cv21CascadeClassifierImpl4Data4readERKNS_8FileNodeE__ZN2cv21CascadeClassifierImpl5read_ERKNS_8FileNodeE__ZN2cv3ocl9objdetect20cascadedetect_oclsrcE__ZN2cv4UMatC1ERKS0_RKNS_5Rect_IiEE__ZN2cv25groupRectangles_meanshiftERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IdNS4_IdEEEESA_dNS_5Size_IiEE__ZN2cv13HaarEvaluator4readERKNS_8FileNodeENS_5Size_IiEE__ZN2cv16FeatureEvaluator4readERKNS_8FileNodeENS_5Size_IiEE__ZN2cv12LBPEvaluator4readERKNS_8FileNodeENS_5Size_IiEE__ZNK2cv17MeanshiftGrouping11getNewValueERKNS_7Point3_IdEE__ZN2cv17CascadeClassifier16setMaskGeneratorERKNS_3PtrINS_21BaseCascadeClassifier13MaskGeneratorEEE__ZN2cv21CascadeClassifierImpl16setMaskGeneratorERKNS_3PtrINS_21BaseCascadeClassifier13MaskGeneratorEEE__ZN2cv16FeatureEvaluator8setImageERKNS_11_InputArrayERKNSt3__16vectorIfNS4_9allocatorIfEEEE__ZN2cv16FeatureEvaluator15updateScaleDataENS_5Size_IiEERKNSt3__16vectorIfNS3_9allocatorIfEEEE__ZN2cv11clipObjectsENS_5Size_IiEERNSt3__16vectorINS_5Rect_IiEENS2_9allocatorIS5_EEEEPNS3_IiNS6_IiEEEEPNS3_IdNS6_IdEEEE__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEidPNS1_IiNS4_IiEEEEPNS1_IdNS4_IdEEEE__ZN2cv21CascadeClassifierImpl30ocl_detectMultiScaleNoGroupingERKNSt3__16vectorIfNS1_9allocatorIfEEEERNS2_INS_5Rect_IiEENS3_IS9_EEEE__ZTVN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTSN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTIN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTVN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTSN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTIN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator10OptFeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTVN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTSN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTIN2cv6detail12PtrOwnerImplINSt3__16vectorINS_13HaarEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTVN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTSN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTIN2cv6detail12PtrOwnerImplINSt3__16vectorINS_12LBPEvaluator7FeatureENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTVN2cv6detail12PtrOwnerImplINSt3__16vectorINS_16FeatureEvaluator9ScaleDataENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTSN2cv6detail12PtrOwnerImplINSt3__16vectorINS_16FeatureEvaluator9ScaleDataENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZTIN2cv6detail12PtrOwnerImplINSt3__16vectorINS_16FeatureEvaluator9ScaleDataENS2_9allocatorIS5_EEEENS_14DefaultDeleterIS8_EEEE__ZN2cv16FeatureEvaluator8getUMatsERNSt3__16vectorINS_4UMatENS1_9allocatorIS3_EEEE__ZTVN2cv6detail12PtrOwnerImplI12CvMemStorageNS_14DefaultDeleterIS2_EEEE__ZTSN2cv6detail12PtrOwnerImplI12CvMemStorageNS_14DefaultDeleterIS2_EEEE__ZTIN2cv6detail12PtrOwnerImplI12CvMemStorageNS_14DefaultDeleterIS2_EEEE__ZTVN2cv6detail12PtrOwnerImplI23CvHaarClassifierCascadeNS_14DefaultDeleterIS2_EEEE__ZTSN2cv6detail12PtrOwnerImplI23CvHaarClassifierCascadeNS_14DefaultDeleterIS2_EEEE__ZTIN2cv6detail12PtrOwnerImplI23CvHaarClassifierCascadeNS_14DefaultDeleterIS2_EEEE__ZTVN2cv6detail12PtrOwnerImplINS_13HaarEvaluatorENS_14DefaultDeleterIS2_EEEE__ZTSN2cv6detail12PtrOwnerImplINS_13HaarEvaluatorENS_14DefaultDeleterIS2_EEEE__ZTIN2cv6detail12PtrOwnerImplINS_13HaarEvaluatorENS_14DefaultDeleterIS2_EEEE__ZTVN2cv6detail12PtrOwnerImplINS_12LBPEvaluatorENS_14DefaultDeleterIS2_EEEE__ZTSN2cv6detail12PtrOwnerImplINS_12LBPEvaluatorENS_14DefaultDeleterIS2_EEEE__ZTIN2cv6detail12PtrOwnerImplINS_12LBPEvaluatorENS_14DefaultDeleterIS2_EEEE__ZTVN2cv6detail12PtrOwnerImplINS_21CascadeClassifierImplENS_14DefaultDeleterIS2_EEEE__ZTSN2cv6detail12PtrOwnerImplINS_21CascadeClassifierImplENS_14DefaultDeleterIS2_EEEE__ZTIN2cv6detail12PtrOwnerImplINS_21CascadeClassifierImplENS_14DefaultDeleterIS2_EEEEGCC_except_table9GCC_except_table89GCC_except_table189__ZZN2cv13HaarEvaluator18computeOptFeaturesEvE25__cv_trace_location_fn679__ZZN2cv13HaarEvaluator18computeOptFeaturesEvE31__cv_trace_location_extra_fn679__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEERNS1_IdNS4_IdEEEEidE25__cv_trace_location_fn379__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEERNS1_IdNS4_IdEEEEidE31__cv_trace_location_extra_fn379GCC_except_table179GCC_except_table69GCC_except_table49GCC_except_table149GCC_except_table139GCC_except_table29__ZZN2cv18predictCategoricalINS_12LBPEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE25__cv_trace_location_fn529__ZZN2cv18predictCategoricalINS_12LBPEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE31__cv_trace_location_extra_fn529GCC_except_table19GCC_except_table109GCC_except_table88GCC_except_table188GCC_except_table68GCC_except_table168GCC_except_table148GCC_except_table38GCC_except_table138GCC_except_table28GCC_except_table18GCC_except_table118__ZZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdiiNS_5Size_IiEESD_E26__cv_trace_location_fn1408__ZZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdiiNS_5Size_IiEESD_E32__cv_trace_location_extra_fn1408GCC_except_table108GCC_except_table87__ZZN2cv14predictOrderedINS_13HaarEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE25__cv_trace_location_fn487__ZZN2cv14predictOrderedINS_13HaarEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE31__cv_trace_location_extra_fn487__ZZN2cv25groupRectangles_meanshiftERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IdNS4_IdEEEESA_dNS_5Size_IiEEE25__cv_trace_location_fn387__ZZN2cv25groupRectangles_meanshiftERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IdNS4_IdEEEESA_dNS_5Size_IiEEE31__cv_trace_location_extra_fn387GCC_except_table187GCC_except_table77GCC_except_table67__ZZN2cv21CascadeClassifierImpl26detectMultiScaleNoGroupingERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESJ_bE26__cv_trace_location_fn1247__ZZN2cv21CascadeClassifierImpl26detectMultiScaleNoGroupingERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESJ_bE32__cv_trace_location_extra_fn1247GCC_except_table137GCC_except_table27__ZZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdiiNS_5Size_IiEESJ_bE26__cv_trace_location_fn1727__ZZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdiiNS_5Size_IiEESJ_bE32__cv_trace_location_extra_fn1727GCC_except_table17GCC_except_table117GCC_except_table6GCC_except_table96__ZZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdiiNS_5Size_IiEESD_E26__cv_trace_location_fn1696__ZZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdiiNS_5Size_IiEESD_E32__cv_trace_location_extra_fn1696GCC_except_table86__ZZN2cv16FeatureEvaluator8setImageERKNS_11_InputArrayERKNSt3__16vectorIfNS4_9allocatorIfEEEEE25__cv_trace_location_fn486__ZZN2cv16FeatureEvaluator8setImageERKNS_11_InputArrayERKNSt3__16vectorIfNS4_9allocatorIfEEEEE31__cv_trace_location_extra_fn486GCC_except_table186GCC_except_table76GCC_except_table66GCC_except_table56GCC_except_table156GCC_except_table46GCC_except_table136GCC_except_table26_memset_pattern16GCC_except_table116GCC_except_table106GCC_except_table5GCC_except_table95GCC_except_table85GCC_except_table185GCC_except_table75GCC_except_table175GCC_except_table65GCC_except_table45GCC_except_table145__ZZN2cv13HaarEvaluator15computeChannelsEiRKNS_11_InputArrayEE25__cv_trace_location_fn635__ZZN2cv13HaarEvaluator15computeChannelsEiRKNS_11_InputArrayEE31__cv_trace_location_extra_fn635GCC_except_table115GCC_except_table105GCC_except_table4GCC_except_table94GCC_except_table84GCC_except_table184GCC_except_table74__ZZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdiiNS_5Size_IiEESJ_bE26__cv_trace_location_fn1374__ZZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEERNS5_IdNS8_IdEEEEdiiNS_5Size_IiEESJ_bE32__cv_trace_location_extra_fn1374GCC_except_table64__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEidE25__cv_trace_location_fn364__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEidE31__cv_trace_location_extra_fn364GCC_except_table164GCC_except_table44GCC_except_table34GCC_except_table14GCC_except_table114GCC_except_table104GCC_except_table3GCC_except_table93GCC_except_table183GCC_except_table73__ZZN2cv19predictOrderedStumpINS_13HaarEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE25__cv_trace_location_fn573__ZZN2cv19predictOrderedStumpINS_13HaarEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE31__cv_trace_location_extra_fn573__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEidPNS1_IiNS4_IiEEEEPNS1_IdNS4_IdEEEEE24__cv_trace_location_fn63__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEidPNS1_IiNS4_IiEEEEPNS1_IdNS4_IdEEEEE30__cv_trace_location_extra_fn63GCC_except_table43GCC_except_table23GCC_except_table13GCC_except_table113GCC_except_table103GCC_except_table2GCC_except_table92GCC_except_table72GCC_except_table62GCC_except_table52GCC_except_table152GCC_except_table32__ZZN2cv21CascadeClassifierImpl5runAtERNS_3PtrINS_16FeatureEvaluatorEEENS_6Point_IiEEiRdE25__cv_trace_location_fn932__ZZN2cv21CascadeClassifierImpl5runAtERNS_3PtrINS_16FeatureEvaluatorEEENS_6Point_IiEEiRdE31__cv_trace_location_extra_fn932__ZZN2cv23predictCategoricalStumpINS_12LBPEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE25__cv_trace_location_fn612__ZZN2cv23predictCategoricalStumpINS_12LBPEvaluatorEEEiRNS_21CascadeClassifierImplERNS_3PtrINS_16FeatureEvaluatorEEERdE31__cv_trace_location_extra_fn612GCC_except_table112GCC_except_table102__ZZNK2cv24CascadeClassifierInvokerclERKNS_5RangeEE26__cv_trace_location_fn1002__ZZNK2cv24CascadeClassifierInvokerclERKNS_5RangeEE32__cv_trace_location_extra_fn1002GCC_except_table1__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEEidE25__cv_trace_location_fn371__ZZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEEidE31__cv_trace_location_extra_fn371GCC_except_table51GCC_except_table151GCC_except_table141__ZZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEEdiiNS_5Size_IiEESG_E26__cv_trace_location_fn1421__ZZN2cv21CascadeClassifierImpl16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEEdiiNS_5Size_IiEESG_E32__cv_trace_location_extra_fn1421GCC_except_table111___gxx_personality_v0GCC_except_table0GCC_except_table90GCC_except_table190GCC_except_table60GCC_except_table50GCC_except_table150GCC_except_table40GCC_except_table140GCC_except_table30GCC_except_table130__ZZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEEdiiNS_5Size_IiEESG_E26__cv_trace_location_fn1710__ZZN2cv17CascadeClassifier16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IiNS8_IiEEEEdiiNS_5Size_IiEESG_E32__cv_trace_location_extra_fn1710GCC_except_table110 #1/36 1548786651 501 20 100644 27996 ` cascadedetect_convert.cpp.o xhNhN__text__TEXT:xQO__literal16__TEXT : 0=__literal4__TEXT@:P=__gcc_except_tab__TEXTD:T=__cstring__TEXT J0M__compact_unwind__LD8LHOc__eh_frame__TEXTLpP`d h$ hd.Hg P #UHAVSIÄuI~tIHH= LHE[A^]UHAWAVAUATSH(IHW) HH 1HH H$ H}H1HuHUH 1H]LuH}HHLHH H;uH ;>HuAH}LHLAF@tAF@W)EH} HstageParH@ sf@amHuLIH}W)EH}{HuLIH}W)EH} DImaxWeakCL(@ountHuLIH}ILPA~@uwW)EH}Hen givenHHHhas beenHHHnt name HHHNo elemeHH<H <HuAH}LHLAF@tAF@W)EH}}HuLHH}W)EH} HreParamsHHHfeaturePHHuHHH}W)EH}{HuHHH}W)EH} HmaxCatCoH@ tf@unHuHHH}HHP{@uwW)EH}Hen givenHHHhas beenHHHnt name HHHNo elemeHH2;H 6;HuAH}HH1HC@tC@W)EH}}HuHHH}W)EH}HstageNumHHuHHH}HHP{@uwW)EH}Hen givenHHHhas beenHHHnt name HHHNo elemeHH:H :HuAH}HHHDC@tC@W)EH}f@esstagHuHHH}W)EH}[HuHL}H}E IcHE1WLuHELINd8N+d8)EL{H LHLW)E LL(@ountHLILIELPIHLA}@utW)ELHen givenHHHhas beenHHHnt name HHHNo elemeHALHL8H P8LLHLDAE@tAE@W)ELHhresholdHHHstageThrHLLILH]LIELPA}@utW)ELHen givenHHHhas beenHHHnt name HHHNo elemeHALHR7H V7LLHLAE@tAE@W)ELHssifiersHHHweakClasHLLHLW)EL[HLLEImaxWeakCW~IcHE1HENl8)EL{H LHLW)E LHnalNodesHHHinternalHHLHLW)EL[HLLLKdHLL,MeHDHt L)HHHH+tHbHHHx1HEMeHEHHxH H P`utW)ELHen givenHHHhas beenHHHnt name HHHNo elemeHALH4H 4LHEATH H8`t Dž`I]H H P`utW)ELHen givenHHHhas beenHHHnt name HHHNo elemeHALH4H 4LHEЋTH H8`t Dž`I]H H P`utW)ELHen givenHHHhas beenHHHnt name HHHNo elemeHALHT3H X3LHEЋH H8`t Dž`I]H H P`utW)ELHen givenHHHhas beenHHHnt name HHHNo elemeHALH2H 2LHED H H8`t Dž`HxH;W)ELL]H LHLW)E LHleafValuHf@esHLHLW)EL[HLLHHHHMlHcHE1MeH H P`utW)ELHen givenHHHhas beenHHHnt name HHHNo elemeHALH0H 0LAH H8`t Dž`HH;]-W)ELImaxWeakCL]H LHLW)EL}HLLIL;W)EL]H LHLW)EL}HLLLIL;WUW)EH}H]]H HuIH}W)EH}HfeaturesHHuLIH}W)EH}[HuLH}H/LcE1WLmHHE)EL{H LHLW)EL@srectHLHLW)EL[HLLLLxMIHEJL8MfIGLHtUHffffff.HC(HC HCHCHCHI^H0I^IHuH}HC(HC HCHCHCHIFHH0INH@XH@PH@HH@@H@8H@0IFHH0INH@XH@PH@HH@@H@8H@0IFHH0INH@XH@PH@HH@@H@8H@0I^H0I^IHHHMIIVIFM9tAfff.I|$Ht I|$I\$I|$Ht I|$I9IuMtL[A\A^A_][A\A^A_]E11Lff.UHAWAVAUATSPIL/H_IM)IIFHH:HLgM)LHHH9w]II9LBMNH}I9vGHH5fHHHHH5HHH}ILHH}IJ 0IIAB0AGBD0AGBD0AG$BD0$AW4BT04AW8BT08AW H?MuI)LHHH9w`II9LBMLEHuI9vKHH5|HHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSHIIIuMuI)MIIGHH<HMeI)LHHH9waII9LBMLEHuI9vKHH5 HHHHH5HHLEHuILHHHuLEIIIIIHJL;J;N|;M~HLILI]M}MeHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHL4Ҟ$(< (H (\N( (3]((('Yt .$..U...---.-. /T.-<-r(----(T-~- '' '0 ' (7 'J 'Z ( ' z' ( `' X' ( >' 6'/ (T 'c 's ( & & ( & & *(< "$^ $n 2( & & *(& "$H $X 2( & & ( r& j& (P&$ H&0*("t$ l$.(.& &&(< &K &[(l%{ %(% %)(+"R$M J$],(% %(% |%)(A"0$c ($s-(b% Z%( @% 8%/ -?-Q-` -w--;-!+$+3.-|r-j-)-!++1+-wP-H- - .-&- -, , -@,N,] -m ],xU,/-j!o+g+`-3!M+TE+d`-!+++`-!**-6 ,M*_*n ,g*W* , *)/-j!++ +- ,)) ,% )0)O -_+q+ - ++(% %($& $6(G $S $ -,w, -;,3, - ,,g -w --(-!**$@-!*_*@-C!=*d5*t@-!* ) @- !) ) )- , ,! -=!q)L!i)j! -!()! )!+d)"!)#"(@" d)a" -q"J)"B)"("$" $"(" #" ## '# #$ $4$ B$V$ d$x$ $$ $$ $$ $% %"% 0%D% R%f% t%% %% %% %% %& &2& @&T& b&v& && && && && ' ' .'B' P'd' r'' '' '' '( ( ) ),) :)N) \)u) )) )) )) )* ** -*A* O*k* y** ** ** ** *+ #+/+ =+Q+ _+s+ ++ ++ ++ ++ ,, +,?, M,a, o,, ,, ,, ,, ,- -2- @-T- b-v- -- -- --X)'K)'O)'_sizestagesstage_thresholdtreesfeaturetiltedrectsthresholdleft_valleft_noderight_valright_nodecascade{:opencv-cascade-classifierstageTypeBOOSTfeatureTypeheightwidthstageParamsmaxWeakCountfeatureParamsmaxCatCountstageThresholdweakClassifiersinternalNodesleafValuesallocator::allocate(size_t n) 'n' exceeds maximum supported sizeNo element name has been givenoperator<</Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/persistence.hpp9!@/XAD:p/ P5XAI07bXAI8rXAIzRx $9AC CzPLRx 4$/AC P,AC G4AC J40bAC M4hrAC M: -:)-9-9$-9,-u9%-^9*-V9 =O9"=A9#=:9-29(9'-8 -8)-{8-]8$-38,-8%-7*-7 =7"=7#=7-77'-*7 -"7)-7-6$-6%-6*-5 =5"=5#=5-55'-A5-&5$- 5$-4$- 0%-g/!-b/(-/ -/ -/$-.$-.$-.$-.$-B. -. ---- -- ---- -- ---- -- ---- -- -w--j- -b- -U--H- -;- -.--!- -- - --, -,-, -, -, -,-, -, -,-, -, -,-w, -o, -b,-U, -M, -@,-3, -&,-, -, - , -+-+ -+ -+-+ -+ -+-+ -+ -+-+ -+ -t+-g+ -Z+-M+ -E+ -=+ -0+-#+ -+ -+-+ -*-* -* -* -*-* -*-* -* -* -*-y* -q* -d*-W* -J*-=* -5* --* - *-* - * -)-) -) -)-) -) -)-) -) -)-) -~) -q)-d) -\) -O)-B) -/) -")-) -($-($-~($-!( -(-( -' -'-' -' -'-' -' -'-' -' -'-z' -r' -e'-X' -P' -C'-6' -.' -!'-' - ' -&-& -& -&-& -& -&-& -& -&-& -& -w&-j& -b& -U&-H& -@& -3&-&& -& -&-& -% -%-% -% -%-% -% -%-% -% -%-|% -t% -g%-Z% -R% -E%-8% -0% -#%-% -% -%-$ -$ -$-$ -$ -$-$ -$ -$-$ -$ -y$-l$ -d$ -W$-J$ -B$ -5$-($ - $-$$-#$-#$-#$-#$-C# -4#-+#-#-#-"-"-"-"-"-"-g"-_"-Z"S""-!-!-!-!-!-h!-C!-;!--!- !- - -   -` -P -H -C < ----H-----h-X-P-KD----H-@-2----------k-_-F-1-%--------t-l-^-J-?-----o- ---------D-'---z-`-X-SL----8----o------a-M-B-0-------u-b-Z-UN----z-h-`-[T------x-1-$--------F----------un0---------]-H-<--- ----i-]-:-%-- - - - - - - -p i + - - - - - - -  A - - - - - - - - -y -d -X -B -- -! - - - - - - -c - -x -l -c - ---z-u<-- ----M-H+---K-8--------t-_-4-,-' --f-aM---$-$-]-- ----w&-W%-------a-N------x -.--% -++xp+`@80+ S+M7@D:III P5p/n807`/3dC +cbeoO/']$-G _memcpy___cxa_throw__ZSt9terminatev__ZdlPv__ZNKSt3__120__vector_base_commonILb1EE20__throw_length_errorEv__ZNK2cv8FileNode4sizeEv__ZN2cv6String10deallocateEv__ZNK2cv11FileStorage8isOpenedEv__ZNSt12length_errorD1Ev__ZN2cv11FileStorageD1Ev__ZTVSt12length_error__ZTISt12length_error___bzero___cxa_allocate_exception___cxa_free_exception__Znwm__ZN2cv16FileNodeIteratorC1EPK13CvFileStoragePK10CvFileNodem__ZN2cv6String8allocateEm__ZNSt3__16vectorIN2cv8haar_cvt14HaarClassifierENS_9allocatorIS3_EEE8__appendEm__ZN2cv4readERKNS_8FileNodeERii__ZN2cv5errorEiRKNS_6StringEPKcS4_i__ZNK2cv8FileNodeixEi__ZNK2cv11FileStorage4rootEi__ZN2cv5writeERNS_11FileStorageERKNS_6StringEi___cxa_begin_catch__ZN2cv4readERKNS_8FileNodeERff__ZN2cv5writeERNS_11FileStorageERKNS_6StringEf_remove___clang_call_terminate__Unwind_Resume__ZN2cv4readERKNS_8FileNodeERdd__ZN2cv5writeERNS_11FileStorageERKNS_6StringEd__ZNK2cv8FileNodeixEPKc__ZNSt11logic_errorC2EPKc__ZNSt3__16vectorIfNS_9allocatorIfEEE21__push_back_slow_pathIfEEvOT___ZNSt3__16vectorIN2cv8haar_cvt11HaarFeatureENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZNSt3__16vectorIN2cv8haar_cvt18HaarClassifierNodeENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZN2cv11FileStorageC1ERKNS_6StringEiS3___ZN2cv17CascadeClassifier7convertERKNS_6StringES3___ZN2cv8haar_cvtL7convertERKNS_6StringES3___ZN2cvlsERNS_11FileStorageERKNS_6StringEGCC_except_table6GCC_except_table5GCC_except_table4GCC_except_table1___gxx_personality_v0 #1/36 1548786653 501 20 100644 41236 ` detection_based_tracker.cpp.o `ee __text__TEXT^Gi__gcc_except_tab__TEXT`GLw__literal16__TEXTO` T__literal8__TEXTOT__literal4__TEXTO T__const__DATAPTw__cstring__TEXTP`U__bss__DATAeH__const__TEXTT0Y__data__DATAUX ZHx __compact_unwind__LDU xZxY__eh_frame__TEXT[ `X{ h$ `{< P>\9UHAWAVAUATSH(IHHHHsHC HCHCHC(2HC`HCXHCPHCHHC@HC8HC0HCh= 0) &HHHLifetimeHHHmaxTrackHHH(params.Hf@0orH==H (;Hu)AbH}I]HLuпXIIEHEH]Ht@AHULLLE1 IAD$HI$Mt$H}HtGuHPffEIMgMwHLutGuHPE?IG`I;Ghs?HIG`H]HuLH]E?IGxIH9sD?HIGxE>H9sM>HIGxEL>H9sVL>HIGxRHuHIGxIE>H9rHuHIGxIEL>H9rHuHH8[A\A]A^A_]HH(&$"HLuIH}HLuIMI>HtGuHPIFIHEH8Ht IxHEH8Ht I`MwMo@Mt8IGHL9tc@HXHxHt HxI9HuI@MoHI>HtGuHPIFILLHH IH}HtGuHPffEELHffffff.UH]fDUHAWAVSPIHIIHtGuHPIH@HI~pHt I~xI~XHt I~`M~@MtEIFHL9t0fff.HXHxHt HxI9HuI~@LM~HI~HtGuHPIIFIH[A^A_]HH@UH]fDUHSPHHH[]@UHAWAVAUATSHIH}H5H Aftbff0H0;H58;HH8H 6H0)AwH0HEHxHtttu)H=tfH=u(H=tHH=HH8Aof0AN)@AN )PAoN0f`HpLmLxfH:HffMt(@AF&IFHHHxH H@HB$f:~Dž4H0LffEHEHEHxHtHULHELP@L9PH1LuE1fffff.M|M+<IuQffEL@0n > )ALH6H 3LHELP@LHI<oD7fEf:f:ЅIfA~fA:WA*W*2(YXWA*W*YXW*D7W*\7YX\W*D7W*\7YX\HUB8YY-ADM-ADEHuH;ut%DDFFN HHu"fffff.H}LHELP@IHEH@HL)HHHH(I9OffEHEHMH9Mt^1L0LLeE1ffff.ofH}LLLIHMHEH)HHI9rHuH}H}HH]t H}H}Ht H}HhHtHu H0HDžhfH@f@f4~(Hp1fHHc4H9|HxH9t(t H H[A\A]A^A_]~HH=(dkHH=(CJH2Hk[HHH0HHÃ(HHH}/HHH}Hu$+HLmH}Ht H}H}Ht H}HhHtHu H0HDžhfH@f@f4~+Hp1fff.HHc4H9|HxL9t(t H HHHfff.UHAWAVATSHIILN@AF0* DzDB A*Y.(YYXW*JA*YYX-Y\-Y\-E1҅ҿI۸IAQ9N-A9N)A)DAEAEAEAE}EMɉUE9ENAF4)0W)EHEH@HUWA*(0Y-IGG HH@HULMLEM9E1 LuEUADATA|A4EU}uIL$I;L$tQyq HIL$fLLLMLEILL)HHI9rHxHtHu H@HDžxHDžhHDž`HDžXHDžPD~&HE1f.HHcDH9|H}HEH9tH}Ht H}Hİ[A\A^A_]HHH}HHHxHtHu H@HDžxHDžhHDž`HDžXHDžPD~#HE1HHcDH9|H}HEH9tH}Ht H}HHfDUHAWAVAUATSHHG@H}HOHH)HILLfHXL+&LHIE~hDHrDHs 1Hu3LH)H1DGGGHHǠH9uHtHHDH@H(HuW)EHEMLPtgI>ILHILILmLPKDHELLLmHpDžpH}LHEDžpHEH@@HhE4IcH@DH`E1Hpff.HhH0K|HH\H)HH~Efff.IIW)pILHions > 0HHHnumpositH)ALH,H )LLLHHLPE/H8H0L(HHHHH HtHDLUADT uAELm 1AH`fffff.A|HXLEtALD9uE}l9MA}pEtE9tA D9~DDD)D)AE)~_H`~gDubAD1uAΉD9DMދMOȉM;De9MA|D}EtE9~EA D9H`fff.HHH9 EԅLPL(H0H8ELcLMG,H`1fff.A<1yiHXHD\MIB<0BL09ADLA9EDL\B|09OD\ BL0 D9AOD9~D9~ A1HHu DDIL;@HpEH]HHHLcE15HhHpHpHxHxgHEJcHxSHhL LHHXH1L4KDK;DKLHHffff.LHHXH0W)pHEHEHpH EHCHH;CP H@H@H(pHMHHW)pHEHMHʋJH H HHHCH(MK<HhLKKtHH)HHMDY A9ODHKII(HHLfHps`ff.H9JTHtHHffffff.GHHuHGLfHprMfG@G @ G0@0G@@@GP@PG`@`Gp@pHHH9uI)IJt# HHH)HA9:I0CDH]IM9Lc@L{HM9LpMAE;C~'IEI+$H~7IE(L9%DAM;K$;C(I(MM9u6W)p LHnumpos >Hf@ 0)AeLH&H #LL{HIE(L9fff.I}Ht!I}IEIEIEIE(IM0IEIMIE8IEIE8IE0IE(IE@IEAEHAE IM(IPM9IuHCHH9It,f.HXHxHt HxI9HuH]LkHMMM9{H}Ht H}Hĸ[A\A]A^A_]H}pnHHpHt`HxH}HuT[HHHp0H#!HHHp HHH}Ht H}Hffffff.UHAWAVAUATSHIIIIFIGHI;G@1LeI@LLHMEЋMԉЅt;IVI;Vt&uȉ2ủrBJ HIVff.LLHIGHI+G@HIH9rH[A\A]A^A_]fffff.UHSPHHMHH[]@UHAWAVAUATSH(IIIIFIGHI;G@1A LmH}LLEЋMԉЅt[IW@DEȋuDEuEMB"UI~I;~s'DwGO WHI~fffff.LLHIGHI+G@HHHI(H9[H([A\A]A^A_]fff.UHAWAVAUATSH8IIIIFIGHI;G@1A IfH}LHMIG@B (EUԉMEUIvI;vsFVHIvLHuIG@HIOHH)HII(H9rH8[A\A]A^A_]fDUHAWAVAUATSH^@HFHH)Hi9HcHD;F$~D;F,~L$LTM)MIEIH^xL^pL)HD9AOLNXLv`M)IE9EOvLcLH LfEW1fWfWfHHWA*\4A$YZDXWA*\4 YZXWZXHLL9|D^^EMcI MfWW1DfWfffff.LHAATW*A\W*AT AYAYW*W*AYXAYXA4YXYXWZXHML9|-r^WZYYHGHH[A\A]A^A_]LHLHE*LA*L EIMICCT*CDW*CT -YYW*W*YXYXWAZ%YWZY\\--A--Ww_ (DUHHHt]1]fUHHHt]]ff.UHAWAVSPII_Ht;Ls(LuƃHHƃLMw@IGHL9t fHXHxHt HxI9HuMwHH[A^A_]UHSH(HW)EHEHEH}H EHCHH;CPsMHMH@H@H(EHUHPW)EHEQP H HHHCH(H{@HuH}Ht H}HCH@H([]HH}Ht H}Hffffff.UHAWAVATSHI;x4MfMt M|$(LHI$PLHIF1[A\A^A_]ff.UHHG]fDUHAWAVAUATSPIL/H_IM)IIGHH<ILgM)LHHH9w]II9LBM]H}M9vGHH5HHHHH5HHH}MLHH}IJ 8IIAB8ND8L9HCL)Ht%HHfCHFHHuHps _HHprVHfDCCFCFCFCFCFCFCHÀFHƀI9uHHHHLGLgMtLH[A\A]A^A_]H[A\A]A^A_]E11IHLUHAWAVAUATSPIIIILHIEL;LcHCH1LHuH[A\A]A^A_]H5IL;HMtLLHLILILLUHAWAVSPII7IH8IAWIIHtHHL1H[A^A_]IMu*IIIHtHHLL@UHAWAVAUATSPIIIMM)II>IFHH)HI9vuHt"I~IFIFI1LH H?MuI)LHHH9w`II9LBMLEHuI9vKHH5{HHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSPII L'H_IM)IHLIEL9H}HOL)HHHeffffffH9wHH9HBHIJH<ODJK H ABA~B|JDL9t0H}ffffff.CBsH[rHRI9uH}HHGHOMtLH[A\A]A^A_]H[A\A]A^A_]E11`ff.UHAWAVAUATSPII L'H_IM)IHLIEL9H}HOL)HHHTUUUUUUH9wHH9HBHIJH<@ODmJK H ABA~B|A~B|JDL9t-H}fDCBsrsH[rHRI9uH}HHGHOMtLH[A\A]A^A_]H[A\A]A^A_]E11ZDUHAWAVAUATSHILgLoLL)HH9LM)MII6HH>H?M)LHHH9H}LEII9LBMHuI9qHH5pHHHHH5HHHLHIGL9vIL9LHHHHJHAHfAnfpHXH)1AADAD AD0HHuHtfAnfpAADH9tsIHH)LCHHtHAHHHuIrBfAAPAPAP APAPAPAPH HuIHGHuIJ<IHuO HLHIOL9vI L9LHHHHPHDBAHQfAnfpK|0IHH)1DDDHHuMtfAnfpAADH9twI HH)HZHHtH@AHHHuHrBfAAAAAAA AAAAAAAAH HuO4MIFIIIvINL9t'fHXHxHt HxI9HuMtL[A\A^A_][A\A^A_]E11Lh"* fx ~( !d #<'!XKP'H)'==Qg' T}}.jl"V Nn"L{"3 +m !A !~|IF 3" 16 DY d  <)'uBGN<b nsفrZ"X| Pd"i@D8lN L J H_ j\5T8O5DDUi% NqP'  X o! =j m0   Wp րN C  h"ف 4 9/ 2  ! , 6  8    !f ^ ) 4 i w   ')'# ?)'ZÀA$$, H5}}R)' ` j,p)'O)'2@@????SPu_detectorSeparateDetectionWork/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/objdetect/src/detection_based_tracker.cpp %s: ERROR: UNKNOWN Exception caught workcycleObjectDetectorFunction %s: ERROR: Exception caught: '%s' %s: ERROR: OpenCV Exception caught: '%s' DetectionBasedTracker: workcycleObjectDetectorFunction: ERROR concerning pointer, received as the function parameterstateThread==STATE_THREAD_WORKING_SLEEPINGworkcycleObjectDetector(params.maxTrackLifetime >= 0) && trackingDetectorDetectionBasedTrackervirtual void cv::DetectionBasedTracker::process(const cv::Mat &)imageGray.type()==(((0) & ((1 << 3) - 1)) + (((1)-1) << 3))processn > 0numpositions > 0updateTrackedObjectsnumpos > 0allocator::allocate(size_t n) 'n' exceeds maximum supported sizethread constructor failedunique_lock::unlock: not lockedunique_lock::lock: references null mutexunique_lock::lock: already lockedN2cv21DetectionBasedTracker21SeparateDetectionWorkEN2cv21DetectionBasedTrackerEN2cv6detail12PtrOwnerImplINS_21DetectionBasedTracker21SeparateDetectionWorkENS_14DefaultDeleterIS3_EEEEN2cv6detail8PtrOwnerEXA`GAGDAG aAH !A8H!AdHXAH!A JI!XALJ  % %PXAJ   aAK0 @`XAK`! AM$ XAtM.X//X0X1X444aP5ATN@6U 6 6XAN8XANp9aAN:IX`=p= ='=bXA O ?5X`@;XAXALOE zPLRx 4$/AC M,\kAC BzRx $AC ,اDAC B$t AC ,$AC F$p AC $XAC B,PAC G,AC C4ЪAC M,<AC G$IAC C4@AC M$D AC $l AC $ش%AC $%AC 4lOAC M$p AC ,X AC F$t8 AC $ AC B4LwAC P4AC N48 AC P,lAC M$pAC B,hAC M,8AC M,$AC I$TAC $|AC $AC F,TAC E,UAC G$, AC 4AC J4AC J,L(AC F,IAC J$$AC $L AC $t'AC B4$bAC M,5AC J,;AC J4AC M,lAC GZGj-?G-"G-F-E\-~E-sEj-4E-E-C-xB-pBl=iB{=[B=TBk-LBBB-Aj-yA-@-Q@j-3@-?-?\-?->j->->->-m>-e>l=^>{=P>=I>k-A>7>-v=-M<-:j-Q:-:\-:-9-9n-9-9-9n-9-~9r-k9\-c9-V9n-K9\-C9-;9-39n-9s-98-8E8-8m-8-8\-8-8j-h8-v7-c7-[7l=T7{=F7=?7k-77-7-{6u-h6t--6\-%6-6-5G-5Z~5Zx5I-25- 5u-4t-4*-4)-944r32H1H-0D-g0L-/D-/D-W/I- /D-.\-.-.[-.f-w.[-k.[-a.f-R.[-?.-.j-.--->---f--c--,,g-+I-*Z*Z|*I-)-)G- 'f-'c-' '&g-'&N-&-%-$[-$\-$-$h-O$_-$[-#-#h-l#_-'#I-x"b-!P![-H![-@!\-8!d-#!h- _- - -_ [-U f-I [-( [- f- [- [-[---d-h-"_---%-"-I-Xf-c-g-k(-Aa-]-]--~wp]-g-bWQ-LE=^-4-/$)-f-c--g-e-~X-J8-68-([- [----|-0X5-[--[-[-\-g-R-"- -[-f-[-[-[-uM-RM-/M-M-9Y&-,--f-c-Mg-mX'\-u-\-- -a=Zu-Ro-?]-:i-`- ]-x]-iJ->t-'-"  ^- -  =u-t-y\-qu-_s-U7u-)u-p-o-t-\--u-[-~f-r[-h[-^f-R[-8[-.f-"[-[- f-[-\--s-s-s-s-s-|s-r\-Ju-,u-#s-J- t- ]-S ]- u- p- f- c- z  g- t- f- c-  F g- u- u- p-r f-i c-U N  g- o- t- f- c-  D g- -  ^----=---x`-YF-4-/-'= ---u-o-t-'-\-u-y-u-pp-]x-=F-09t--/-/-y--[-;-x-v-q-{q-oK-c:-T[-L[-x-v-q-q--h-L_-%w-W,-[--p[-ah-_-[-[-\-x-v-q-zq-r-?h-_-[-f-[-|[-/f-&c- g-W<|M8zMT}S}x3p?h@`AX2P H1@08607(P-.OPRHU@~8V0}(< =>Q`@ `XP@ `@80 `XP@ xp`XP@80 xp`@80 M`GGGH 8H'dH eFeH J 0el (e|LJJK.P1 He@e Xe PeiKVM tMCTNNNN0 OLO}8e4@6$`! s$#*NW944T`P5.P+@40 / =p=:`=`0/.6 /1ep98'E`@a6:  ? =a AP P U U T T/ T `UP P U  U ^ $ = o@ [+R z oV' Y/'     I 4   n     $ e =_memcpy___cxa_throw__ZSt9terminatev__ZdlPv__ZN2cv31workcycleObjectDetectorFunctionEPv__ZN2cv8fastFreeEPv__ZN2cv5utils5trace7details6Region7destroyEv__ZN2cv16getTickFrequencyEv__ZN2cv12getTickCountEv__ZNK2cv21DetectionBasedTracker13getParametersEv__ZN2cv21DetectionBasedTracker21SeparateDetectionWork23workcycleObjectDetectorEv__ZNKSt3__120__vector_base_commonILb1EE20__throw_length_errorEv__ZN2cv21DetectionBasedTracker4stopEv__ZN2cv21DetectionBasedTracker21SeparateDetectionWork4stopEv__ZN2cv21DetectionBasedTracker3runEv__ZN2cv21DetectionBasedTracker21SeparateDetectionWork3runEv__ZNSt3__16thread4joinEv__ZNSt3__15mutex6unlockEv__ZNSt3__15mutex4lockEv__ZN2cv21DetectionBasedTracker13resetTrackingEv__ZN2cv21DetectionBasedTracker21SeparateDetectionWork13resetTrackingEv__ZN2cv6detail12PtrOwnerImplINS_21DetectionBasedTracker21SeparateDetectionWorkENS_14DefaultDeleterIS3_EEE10deleteSelfEv__ZN2cv3Mat10deallocateEv__ZN2cv6String10deallocateEv__ZNSt3__118condition_variable10notify_oneEv__ZNSt3__119__thread_local_dataEv__ZN2cv21DetectionBasedTrackerD2Ev__ZN2cv21DetectionBasedTracker21SeparateDetectionWorkD2Ev__ZN2cv21DetectionBasedTracker15InnerParametersC2Ev__ZN2cv21DetectionBasedTracker10ParametersC2Ev__ZNSt3__15mutexD1Ev__ZNSt3__115__thread_structD1Ev__ZN2cv3MatD1Ev__ZNSt12length_errorD1Ev__ZN2cv21DetectionBasedTrackerD1Ev__ZN2cv21DetectionBasedTracker21SeparateDetectionWorkD1Ev__ZNSt3__118condition_variableD1Ev__ZNSt3__16threadD1Ev__ZN2cv3PtrINS_21DetectionBasedTracker9IDetectorEED1Ev__ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEED1Ev__ZN2cv6detail12PtrOwnerImplINS_21DetectionBasedTracker21SeparateDetectionWorkENS_14DefaultDeleterIS3_EEED1Ev__ZNSt3__115__thread_structC1Ev__ZN2cv21DetectionBasedTracker15InnerParametersC1Ev__ZN2cv21DetectionBasedTracker10ParametersC1Ev__ZN2cv21DetectionBasedTrackerD0Ev__ZN2cv21DetectionBasedTracker21SeparateDetectionWorkD0Ev__ZN2cv6detail12PtrOwnerImplINS_21DetectionBasedTracker21SeparateDetectionWorkENS_14DefaultDeleterIS3_EEED0Ev___cxa_guard_abort_memset__ZTVSt12length_error__ZTISt12length_error_putchar__ZZN2cv21DetectionBasedTracker21SeparateDetectionWork23workcycleObjectDetectorEvE4freq__ZGVZN2cv21DetectionBasedTracker21SeparateDetectionWork23workcycleObjectDetectorEvE4freq__ZZN2cv21DetectionBasedTracker7processERKNS_3MatEE4freq__ZGVZN2cv21DetectionBasedTracker7processERKNS_3MatEE4freq__ZZN2cv21DetectionBasedTracker21SeparateDetectionWork30communicateWithDetectingThreadERKNS_3MatERNSt3__16vectorINS_5Rect_IiEENS5_9allocatorIS8_EEEEE4freq__ZGVZN2cv21DetectionBasedTracker21SeparateDetectionWork30communicateWithDetectingThreadERKNS_3MatERNSt3__16vectorINS_5Rect_IiEENS5_9allocatorIS8_EEEEE4freq___stdoutp___cxa_allocate_exception___cxa_free_exception__ZTISt9exception__Znwm__ZN2cv6String8allocateEm___stack_chk_fail__ZN2cv3Mat6createEiPKii__ZN2cv5errorEiRKNS_6StringEPKcS4_i__ZNSt3__16vectorIiNS_9allocatorIiEEE8__appendEmRKi__ZNK2cv21DetectionBasedTracker31calcTrackedObjectPositionToShowEi_fflush___cxa_begin_catch___cxa_end_catch_printf___clang_call_terminate_pthread_create___cxa_guard_release___cxa_guard_acquire__Unwind_Resume___stack_chk_guard__ZZN2cv21DetectionBasedTracker13TrackedObject9getNextIdEvE3_id__ZZN2cv21DetectionBasedTracker7processERKNS_3MatEE27time_when_last_call_started__ZGVZN2cv21DetectionBasedTracker7processERKNS_3MatEE27time_when_last_call_started_pthread_setspecific__ZNSt3__120__throw_system_errorEiPKc__ZNSt11logic_errorC2EPKc__ZNSt3__16vectorIfNS_9allocatorIfEEE21__push_back_slow_pathIfEEvOT___ZNSt3__16vectorINS_4pairIN2cv5Rect_IiEEiEENS_9allocatorIS5_EEE21__push_back_slow_pathIS5_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZNSt3__16vectorIN2cv21DetectionBasedTracker9ExtObjectENS_9allocatorIS3_EEE21__push_back_slow_pathIS3_EEvOT___ZNSt3__16vectorIN2cv21DetectionBasedTracker13TrackedObjectENS_9allocatorIS3_EEE21__push_back_slow_pathIS3_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE6assignIPS3_EENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIS3_NS_15iterator_traitsISA_E9referenceEEE5valueEvE4typeESA_SA___ZNSt3__114__thread_proxyINS_5tupleIJNS_10unique_ptrINS_15__thread_structENS_14default_deleteIS3_EEEEPFPvS7_ES7_EEEEES7_S7___ZNSt3__16threadC2IRFPvS2_EJS2_EvEEOT_DpOT0___ZN2cv3Mat8copySizeERKS0___ZNK2cv3Mat6copyToERKNS_12_OutputArrayE__ZN2cv21DetectionBasedTracker7processERKNS_3MatE__ZNK2cv21DetectionBasedTracker31calcTrackedObjectPositionToShowEiRNS0_12ObjectStatusE__ZN2cv21DetectionBasedTrackerC2ENS_3PtrINS0_9IDetectorEEES3_RKNS0_10ParametersE__ZN2cv21DetectionBasedTrackerC1ENS_3PtrINS0_9IDetectorEEES3_RKNS0_10ParametersE__ZN2cv21DetectionBasedTracker13setParametersERKNS0_10ParametersE__ZN2cv21DetectionBasedTracker21SeparateDetectionWorkC2ERS0_NS_3PtrINS0_9IDetectorEEERKNS0_10ParametersE__ZN2cv21DetectionBasedTracker21SeparateDetectionWorkC1ERS0_NS_3PtrINS0_9IDetectorEEERKNS0_10ParametersE__ZTSN2cv6detail8PtrOwnerE__ZTIN2cv6detail8PtrOwnerE__ZTVN2cv21DetectionBasedTrackerE__ZTSN2cv21DetectionBasedTrackerE__ZTIN2cv21DetectionBasedTrackerE__ZTVN10__cxxabiv120__si_class_type_infoE__ZTVN10__cxxabiv117__class_type_infoE__ZTIN2cv9ExceptionE__ZTVN2cv21DetectionBasedTracker21SeparateDetectionWorkE__ZTSN2cv21DetectionBasedTracker21SeparateDetectionWorkE__ZTIN2cv21DetectionBasedTracker21SeparateDetectionWorkE__ZN2cv5utils5trace7details6RegionC1ERKNS3_21LocationStaticStorageE__ZN2cv3MatC1ERKS0_RKNS_5Rect_IiEE__ZN2cv21DetectionBasedTracker9addObjectERKNS_5Rect_IiEE__ZNSt3__118condition_variable4waitERNS_11unique_lockINS_5mutexEEE__ZN2cv21DetectionBasedTracker21SeparateDetectionWork30communicateWithDetectingThreadERKNS_3MatERNSt3__16vectorINS_5Rect_IiEENS5_9allocatorIS8_EEEE__ZNK2cv21DetectionBasedTracker10getObjectsERNSt3__16vectorINS1_4pairINS_5Rect_IiEEiEENS1_9allocatorIS6_EEEE__ZN2cv21DetectionBasedTracker14detectInRegionERKNS_3MatERKNS_5Rect_IiEERNSt3__16vectorIS5_NS8_9allocatorIS5_EEEE__ZNK2cv21DetectionBasedTracker10getObjectsERNSt3__16vectorINS_5Rect_IiEENS1_9allocatorIS4_EEEE__ZN2cv21DetectionBasedTracker20updateTrackedObjectsERKNSt3__16vectorINS_5Rect_IiEENS1_9allocatorIS4_EEEE__ZNK2cv21DetectionBasedTracker10getObjectsERNSt3__16vectorINS0_9ExtObjectENS1_9allocatorIS3_EEEE__ZTVN2cv6detail12PtrOwnerImplINS_21DetectionBasedTracker21SeparateDetectionWorkENS_14DefaultDeleterIS3_EEEE__ZTSN2cv6detail12PtrOwnerImplINS_21DetectionBasedTracker21SeparateDetectionWorkENS_14DefaultDeleterIS3_EEEE__ZTIN2cv6detail12PtrOwnerImplINS_21DetectionBasedTracker21SeparateDetectionWorkENS_14DefaultDeleterIS3_EEEEGCC_except_table9GCC_except_table39__ZZN2cv21DetectionBasedTracker7processERKNS_3MatEE25__cv_trace_location_fn629__ZZN2cv21DetectionBasedTracker7processERKNS_3MatEE31__cv_trace_location_extra_fn629GCC_except_table19GCC_except_table48GCC_except_table38GCC_except_table26GCC_except_table5GCC_except_table45GCC_except_table35GCC_except_table25GCC_except_table24GCC_except_table14GCC_except_table3GCC_except_table12GCC_except_table1GCC_except_table21GCC_except_table11___gxx_personality_v0GCC_except_table0GCC_except_table40GCC_except_table10 #1/20 1548786655 501 20 100644 87644 ` haar.cpp.op __text__TEXT (__literal8__TEXTX__literal16__TEXTp__gcc_except_tab__TEXTX__literal4__TEXTX__StaticInit__TEXT`_. __cstring__TEXTO__bss__DATA__const__DATA@p8/__common__DATA__data__DATA 8h/__const__TEXT`__mod_init_func__DATAP0 __compact_unwind__LD `X0Q__eh_frame__TEXT2 h$ 2<L P##,ORUHAWAVAUATSHxHMIIHHHEDžLEHhH)ptHh#=PBHhEW)ELeLHer pointHHHclassifiHHHInvalid Hf@erHH +ALH}(pWf.rkW)EH]HHpositiveHHHst be poHHHScale muHHH -AHH}HhHL1LHEHHU1LIƋE LtdW)ELeLHot suppoHHHCOI is nH@rtedHH ALH}HE@ A;F f(puHE@$A;F$W)ELe+LHe same sHH H have thHHHges mustHHHgral imaHHHAll inteH@*ef@(izH<H Y/ALH}f(pA!u HM#t^W)ELeMLH5MHHH .ALH}f(pHhHX(HC{^HHU1H}HE#tVW)EL}MLH5%MHH"H ?.ALH}HE@HM;AW)EL}>LHdthStep)HH6Hep, widtHH0Hride (stHH(H same stHH Hhave theHHHum must HHHtilted_sHHHSum and HH]H z/ALH}HE@ HM;A f(puHE@$HM;A$W)EL}+LHe same sHH H have thHHHges mustHHHgral imaHHHAll inteH@*ef@(izHH /ALH}f(pHMHA IIHAIBxHAIBpHHIIJhIB`(HhHf(pH[({ILhAxWA*@Y-A@WA*@ Y-A@LMIA IB0IAIB(IAIB IIIIJIBIF IBXIFIBPIFIBHIINIJ@IB8-AHAP W*Y-ȃW*Y-Љ*^ABIcqHHHIYHHIIyHcHA,YHULcJB4HcLHHzCHcH 1HHHctor musHHHscale faHHH H@-AH@HU HH A~ Av$EHEHE1E1E11HE11H1H1HHtOE1E1E11HE11H1H @H HHHH1HHx p$E1E1E11HE11HHHtFE1E1E11HE11H @H HHHH1HHx p$E1E1E11HE1H8H8t@E1E1E11HE1 @H HH8HHH1HHF(HHHtrxz r$E1E1E1E1HpHptuE1E1E1E1 @H HHpHHIAHE1E1E1E1HH@(HxhE11HpE1E1E1E11`HHHft$E1E1E1HHHMHEH H˃ȃLLLAEH AE H@1HMXIE(HFHx p$1HI1Mt&H @H HLpHHx1HHHH8HpMEHx p$1HI1Mt&H @H HLpH fWHH11HLLxHHp$1Hx1HE1Hx p$1HHLHH(t @H HHHHXOHHp$1H1HxH}IAEW*ȋ>O*E1f.f(vWA*] HI *5aE1fffff.f(Yf.vAYf(Yf.wمt  ^Yf(EL1ɋU4AػOډDHW W1H@1H1HH1H(H H 1HLL A*H@W*AN@2f(LpLfffff.YH} fYWA*D$$^-D)$ WA*D$ ^-AD+@ f(Y-;f(Y-;9y;mJpLpMH(HDž@BBHDžDžHHHzDžx@BB|HDžDžHH8HDž@BB HDžDžH (,tTI@Dž0@BB4HDž8Dž@HHPTL0ffffff.E1HHLAEHt HIfD1ɍDž@BB HDžDžH (,HHIDžX@BB\HDž`DžhHpx|HLLHxHL1f.MAA)ƉؙACL5A=|HHiMbHH?H&edMȉxHMHLLc|H@H1ҹE1E1MLHxHDž DžHLHI yHEHtHuLHEHEH@H@H@Ht~HE1fHHctH9|H}HEH9tHxHtHuHHDžxHPH@H@H@HD~!H1fHHcDH9|HHH9tHM+fDHHxHL1ҹE1E1LH1ҹE1E1HHXDžADA\ؙAA1ҹE1E1HHx1ҹE1E1LLHD)HH08W*YD-AE )e)p) )E9 W*YD-D;D;D;HLHX HHH8HpHEWA*f(~f(YD-WA*f(Y-]YD-Y-HxLBRHcLMcJHHuJgHHHtHHPHtHXHHtCuHHPHHtGuHPHHtGuHPHHtGuHPMtAD$u I$LPHHtGuHPMtAGu ILPpt HhLHHHHHHHHfUH]fDUH]fDUHSHXHMW)MHE)MHEHL$LL$D$D$HMLEAHH}Ht H}H}Ht H}HHX[]HH}HuH}HuHH}H}HtH}Hffffff.UHAWAVAUATSH8IIHHHEMupW)`L`LHh is pasHHHNull patH@df@seHH ALH`LH HHH A Ot>HH;H@HEAA0E5; 111HHIHEAA0W)`L`#LHbe positHHH should HHHf stagesHHHNumber oH@"ef@ ivHH Ώ-ArLH`McLILLIG0EIG APBEoHIGL5HXH\1LDžHIN,Dž\DžPDž<1LLLc\XHrzW)`H`HHnt < 100HHH0 && couHHHcount > H@0)AHHH HXMIO LIB!HcXHH<@HIG JL X=L1H5v*fHH@ HHLL5MLDžTHHRHH1LIL\LILc\AHLHIW) 0H HHnt< 1000HH(Hier->couHH H classifHHHt > 0 &&HHHer->counHHHclassifiH)A*HHH HHHLIMHHkLH|IDIcHHHHITHIDHID HID(LHIDHHA1H@HHH\1LHTHLc\TtvW) H HHcts <= 3HHH 2 && reHHHrects >=H)A;HHCH ЋHTMLLE1L%gLfW) DžIHH\HL$HD$HH$1LLH H$L(L,Hc\IIH H(HTHLIHcTHI9e L1LH5H`HL\LLc\MHH51@IH@H4HcTHLbHHDHD HDtH@i)AkLHbH LPIO BD!H}A|$E1f.ID$ MIB<(J|(~=E1H<ID$ JD(HIID$ Jc (J|(H0I9|ID$ JD(IIcD$I9|M|$(MtXIHtLA~EH|Hu,IHH|HtIHDAHcH9|IILJI|$(ID$(H]H;HH[A\A]A^A_]UHHt#1PB]1]ffffff.UHAWAVAUATSHIHHHEHHIMt AtpW)HHHstages nHHHInvalid H@ef@odHH 2AHHIFLch(MW)H#HHbe positHHH should HHHf stagesHHHNumber oH@"ef@ ivHՊH -ArHHD0HcHILHID$0ID$ A$PBLxEl$HHLHHtuH{(W)L"LH sequencHHH a validHHHe is notHHHsize nodHf@ e.HH ALHH{H1IALu AGW)L1LHe integeHH(H positivHH H must beHHHe: widthHHHsize nodHHHInvalid H@0rH?H ŀA LHAGLHxAH;HËu CW)L2LHve integHH(He positiHH Ht must bHHHe: heighHHHsize nodHHHInvalid Hf@0erHaH A LHCHxA I~H1ELL1HLAt{1LLH5zHW)LHHtLHHLHALHH LHLPLH IMt)A$uID$@(~I1LLH5ȇHW)LHHtLHHLHA#LHH @~LID$I@(HHH<@HxHI HHHDI$R(~/H1fffff.HHI$HcR(H0H9|I<$1HI$x(Hh1HLHxH@ L|HuHA@(~HII1LLH5HHW)PLHPIMtHLHLLA=HHIH |HMIFI@(LLHHIHI HXAHHkLH|IDIc HHHITHIDHID HID(I>Dž1HIx(L I\1HHHDžHH`HLHp1LH5@HHLW)LHHtLHHLHAYLHH D{LHpLLHHHHt1LH5HHLW)LHHtLHHLHA`LHH zLLHLHHnIMt%AELuHxG(ȃL3 1LH56HHLW)LHHLtLHHLHAiLH,H yLI}IL1HPLHIE@(LHfHH1HLhAuI~(1LH5vHHLLW)LHHtLHHLHAvLH+H xLI~IHGXHtxtL`f1IA$uAL$HH@1MLLH5΂HHLLW)LHHtLHHLHA~LHEH wMLAD$H@I>HGXHtxrL`I DIA$uAL$HHH1MLLH5,HHLLW)LHHtLHHLHALHRH vMLAD$HHI>HGXHtxr L`I@fIA$u'AT$~H@Hx;A@1MLLH5}HHLLW)LHHtLHHLHALHR~H uLAT$H@I>HGXHtxrL`I`DIA$u'El$E~HHADHx;A 1LLH5HHLLW)LHHLtLHHLHALHN}H tLEl$I>HGXHtxrL`I@ILPLA$1LLH5HHLLW)LHHLtLHHLHALHg|H sLLPLAD$ZHHHH@LHHLH@LDlHhH HhH;xr HHHHHHHc@(HHHHH9LLLLHTff.HH HHH fff.HD HD H HHH|LHHzIMtA1LLH5~HHLW)LHHtLHHLHALHzH rLHL1AH HHLHpHY~IMtA1LLH54~HHLW)LHHtLHHLHALHyH -qLHLAGZIHCHLHpHH}Hu HcpH9}H`H ;q(I1LLH5w}HHLW)LHHtLHHLHALHxH *pLAwLMIOH4SHIZLHH }HHH1LLH5|HHLW)LHHtLHHLHALHwH OoLLH1LLH5|HHLW)LHHtLHHLHALH$wH nLLHHX;1LLH5|HHLW)LHHtLHHLHALHvvH mLLHIOHGZMIG Hc‰LLHpHH{HLu HcpH9}H`H ;q(I1LLH5D{HHLW)LHHtLHHLHALHNuH lLAwHHKH4-LHHzIML1LLH5zHHLW)LHHtLHHLHALHtH lLHA1LLH5tzHHLW)LHHtLHHLHALHsH mkLHHX;1LLH5xHHLW)LHHtLHHLHALH@sH jLHHKHAGZHC Hc‰HH HH;rHHHHH`HHc@(H@H@HHH96@HX9L1LLH5xHHW)PLHHHPHt HHHLHHPAHqH miHPHH HH;(rHHHHI$Hc@(HHH9HhxHHPHxIMtA1LLH5wHW)LHHtLHHLHALHpH _hLHhAFZHxH@ DHHPHuwIMt0Au%E~A|HxD;xf.1LLH5,wHW)LHHLtLHHLHA)LHoH igLE~HhHHPHvIMt1Au&AF|Hx;Affff.1LLH5{vHW)LHHLtLHHLHA1LHoH fLAFLHhHxHI D|DDAtIcH|uHDHHH HH;(rHHHHHHH;LLHHH;EuHxH[A\A]A^A_]HHH*HHHHHHHHHHHHHHHHHHHHvHHHHRHHHHH&HHH HHHHHHHHHHHHHHHHzHHHHPVHHHH2HHHHHHHHHHHHHHHHHHHH~HHHHHRHHH6HHHHHHHHHPHHHHHHHHHHHHHHHaHHHH@HHHHHHHHHHUHAWAVAUATSHHMHHIH H HMH dIH5i 1E1E1LS1LS 1LLH5i1E1E1L{LE1Hf11E1E1L1LH5#pDLL1E1E1LH5ciHC LIB< 1LfDJ\ 1IԺ1E1E1L1LH5oDLLLKdH<YH HL|A1LDM/11E1E1LHHHt'1LLH5o.ffff.Hroot nodHfDžeLLL1E1E1LH5h1E1E1LH5hC|d1 1E1E1LCT1LCT1LCT1LCT1LCDZ1LLC|1 1E1E1LCT1LCT1LCT1LCT1LCDZ1LLC|tp1 1E1E1LCT1LCT1LCT1LCT1LCDZ1LLLCTLH5-eLLIGHZLH5iIGHcH~LH5i.ff.IG HHZLH5iIGHcH~ LH5j2ffffff.IG HHZLH5jLHHHcIH9LHHHHC LJc H9LLHC BD ZLH5kHC BT LH5BkHC BT LH5[kLLIHcCI9LLHHH;EuHH[A\A]A^A_]UHAWAVAUATSH8IE~EW)EH]#HHbe positHHH should HHHf stagesHHHNumber oH@"ef@ ivH&cH Z-ArHH}D0LcLHHLHC0HC PBD{INH]HKEE1LuL}IN MIBT)BT(BT)BT(BT)BT(BT)BT(B(Jc)HH<@HHEH@ J\(IN F)F(EYIPDƃHs1Hu{MI)HX1HǂHǂHǂHǂ@HǂpHBHBHHH€I9uHt-HHHTHffff.HH0HuELeE1fffff.IN J\(Nt)LHL<@Kc>B;HkLH|JD;Jc ;HHHHJT;HJT;HJT; HJT;(N;NL;K dHIt1Lu fIH@HHHT8HT8HT0HT0HT(HT(HT HT HTHTHTHTHHLHLHHFDIIDHFDIIDHFDIIDHF LIQ LIcH9YKdHID(LuHcɋIHEH@ Jc (I9L}LeIM9*HEH8[A\A]A^A_]HHH}HHPDUHLO1fDHcHiɈAL xZYI MD A+ID +ID W*AYT WZID (IT 0+IT 8+IT @W*AYT HZXIT PHt2IT XMD `+A+IT hW*AY\ pZXf.wI Hc H&@IL |Hc HHGHH)Z]f.UHAWAVAUATSH(MAHD% BCLksS LCLCHC8HC0HC(HC Lk@HCPHCHHCXHCPHcHcHHMu|W)ELeLH= __nullHHHdata != HHH== 0 || HHHtotal() HHZH Z)ALH}S LmEAAAADɸPH$ALcMMLA"DDH1LHHtyW)EL}LH of esz1HHHultiple HHHt be a mHHHStep musHHZH ZALH}M9uLHELu K@CIHKHL1LaHIHCHC(L)LHC H([A\A]A^A_]HHH}HHHH}HHUHAWAVAUATSH8LMMIHHHHK C BLs$HC(C\HCTHCLHCDHC<HC4HC,HC$HC`HCpHEHChHCxHCpHHHEǃBLHǃHǃHǃHǃHǃHǃHǃHǃHHHEHHǃHǃHǃHǃHsSCHML9IG8Ht9@HsXHCXHt,HuH}LeILLeHsXHCXHCHHC@HC8HC0{$~\HC`1@HIcH9|AHMȉDAG;C$AGC(AG C,IGHHHShH H@HB,AHMȉAG~H}LeILLLeAGC0AG C@IG0HCPIG8HL9e2ID$8Ht@HHtHu H}HǃHǃHǃHǃHǃ~yH1fff.HIcUH9|A$HMЉVAD$LAD$AD$ ID$HHHH H@HB A$HMЉAD$~H}LAD$AD$ AD$0LE@DM8HU0Hu(LU HEHMH}HHL1EHDHHDHLH8[A\A]A^A_]IHHtHu H}HǃHǃHǃHǃHǃ~H1HIcUH9|HH;}tHCXHtHu H}HCXHCHHC@HC8HC0{$~#HC`1ff.HIcH9|H{hH;}tHLHHffffff.UHSPHHH[]@UHAWAVAUATSHHIH5H IFDx Hc3IcNHSDAN(9OAA)XAV,C9UMHuAFE1Ef.5EfWf)EHEf)pHEf)PHDž`W*MY-ȉlWA*Y-ȉMӋMيUAպD)HUM IFH@(HfAIFhH8LMII~0AvpIAHIIAIHXHLML@DHPLH DH f)LHH\$LT$HH$McDHuBD&Ef.}4E=f(4f)0f)@IH0DlHEII W*EE1ff.I~DL 1HUI}INIۃEكqWA*ANY-YM-ɉ04D8uH?I)LHHH9H}H]LE2II9LBM"I9HH5BHHHHH5HHML}M)MIL9K HML9LH]M]MHUI)LHILL)HMLAILHIITI9sILHUH9LHLMHL!HKHHwH1H9LMIJ<H}LMI)LHH H?MuI)LHHH9w`II9LBMLEHuI9vKHH5e0HHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLfffff.UHAWAVAUATSHIIIuMeI)MIIGHH=HMuI)LHHH9waII9LBMLEHuI9vKHH5.HHHHH5HHLEHuIJ<HHuLEN4IJN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLffff.UHSPHHHHHtHu HHHǃHǃHǃHǃHǃ~,H1ffff.HHcH9|HHH9tHCXHtHu H{ HCXHCHHC@HC8HC0{$~&HC`1ffff.HHcS$H9|H{hHCpH9tHH[]HHffff.UHSPHHH[]@UHAWAVAUATSHHIH5H}D+KIT$ID$0H0HuHpH@HpHHH@HPID$8H0HXHpH`HpHhH@HpfWf)EHEMA9HHxAD$,Et$(A9WA*AD$Y-HH HUH}HMyDmADxAD$WA*YD-C /HcHM H@+ HH+ HP dHX4H`+4Hh+4Hp4I|$DH u1ÅAL$ AT$$D}HuuMUHEH;EsD8pHP HHEH}HuHEH+EHHdr2I|$HI|$@HwHUHMI|$HHEHEȃAD$,AA9DmAD;mVfAD$WA*Y-I|$HuH 1AEAL$ AT$$]HuuMUHEH;EspHP HHEH}HuHEH+EHHdr2I|$HI|$@HwHUHMI|$HHEHEAAAAD$,A9&fDAD;mbH}H9}t.I|$HI|$@HwHUHMI|$HH}Ht H}}t H}HĘ[A\A]A^A_]HHH}Ht H}}t H}HHfUHAWAVAUATSPIL/H_IM)IIGHH<ILgM)LHHH9w]II9LBM]H}M9vGHH5'HHHHH5HHH}MLHH}IJ 8IIAB8ND8L9HCL)Ht%HHfCHFHHuHps _HHprVHfDCCFCFCFCFCFCFCHÀFHƀI9uHHHHLGLgMtLH[A\A]A^A_]H[A\A]A^A_]E11IHLUH]f.UH]fDUHSPHH{HsHtHHH[]`H[]ffffff.UHAWAVATSHIM~MfLL)HH9II)IIHH<2HI)LHHH9II9LBMI9HH5%HHHHH5HHHCHHt+HDIGIM~IM~HHuHYIGIIFHHINH@H@IFHHINH@H@IFHHINH@H@M~IM~HuILHIIHSHHHLfHAHHHHuIHHAHHAHAHA(HA HA8HA0HAHHA@HAXHAPHAhHA`HAxHApHHsLI>IvH9LFI)DHt;HLDFHCHHuIpsoLIHLIprSHFFCFCFCFCFCFCFHƀCHÀH9uIIMI>M>INIFHt [A\A^A_][A\A^A_]E11 LIHLfff.UHAWAVAUATSHILgLoLL)HH9LM)MII6HH>H?M)LHHH9H}LEII9LBMHuI9qHH5!HHHHH5HHHLHIGL9vIL9LHHHHJHAHfAnfpHXH)1AADAD AD0HHuHtfAnfpAADH9tsIHH)LCHHtHAHHHuIrBfAAPAPAP APAPAPAPH HuIHGHuIJ<IHuO HLHIOL9vI L9LHHHHPHDBAHQfAnfpK|0IHH)1DDDHHuMtfAnfpAADH9twI HH)HZHHtH@AHHHuHrBfAAAAAAA AAAAAAAAH HuO4M %^#$|#)#y#!##~#u"59'&t 9'"T!DW f :  P'W x | t l d  \ ! -   ! ! .!C! Q!Z"n"##%$$$|%%d&V&&' )()>((_((|((((((( )(H*)Snpp!- %,! M Yy(% !  !um Q]!~! !Q I u !       0 AT ex       ! p+!/L 'X)!J V!w o(!S K!#! r!!!H!s!c! bn!  * !!K  S !G!! ?!)  !^"" ="* !! ! !! ! !E" 5"!""!!k!!K C !'  !c!|!)s1!{k!!vE!Of+n~!3 #3H f rS!o tg |I! j r)! J R2 CV gz      6 GR c~      * ; N _ r     ! !&! 7!J! [!v! !! !! !! !! "" -"H" V"a" u"m"րNzz! P }u!d \!F >I Tg xp4 ;YwiiaQ  (  j j    - 9D          ~ ~        `  , $ )')'2r)'R)'Z)'O)'P5[kS恀  %/  $l  )'Z)')'2Ѹ%UHSPHH$HH50HH LL HH=HHH[]Invalid classifier pointercvSetImagesForHaarClassifierCascade/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/objdetect/src/haar.cppScale must be positiveCOI is not supportedAll integral images must have the same sizeOnly (32s, 64f, 32s) combination of (sum,sqsum,tilted_sum) formats is allowedSum and tilted_sum must have the same stride (step, widthStep)int cvRunHaarClassifierCascade(const CvHaarClassifierCascade *, CvPoint, int)CvSeq *cvHaarDetectObjectsForROC(const CvArr *, CvHaarClassifierCascade *, CvMemStorage *, std::vector &, std::vector &, double, int, int, CvSize, CvSize, bool)Invalid classifier cascadecvHaarDetectObjectsForROCNull storage pointerOnly 8-bit images are supportedscale factor must be > 1Null path is passedcvLoadHaarClassifierCascade/%s%s%d/AdaBoostCARTHaarClassifier.txtrbInvalid pathCould not allocate memory for input_cascade%s/%d/AdaBoostCARTHaarClassifier.txtelements_read == (size_t)(size)opencv-haar-classifiericvCreateHidHaarClassifierCascadehid_cascade has been already createdNegative number of cascade stagesheader of the stage classifier #%d is invalid (has null pointers or non-positive classfier count)rectangle #%d of the classifier #%d of the stage classifier #%d is not inside the reference (original) cascade windowInvalid cascade pointercvRunHaarClassifierCascadeSumHidden cascade has not been created. Use cvSetImagesForHaarClassifierCascadetotal() == 0 || data != __nullMat/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/mat.inl.hppStep must be a multiple of esz1virtual void cv::HaarDetectObjects_ScaleImage_Invoker::operator()(const cv::Range &) constallocator::allocate(size_t n) 'n' exceeds maximum supported sizevirtual void cv::HaarDetectObjects_ScaleCascade_Invoker::operator()(const cv::Range &) const%d%ncount > 0 && count < 1000icvLoadCascadeCARTclassifier->count > 0 && classifier->count< 1000rects >= 2 && rects <= 3%d%d%d%d%d%f%n%99s%ntilted%f%d%d%n%f%n%d%d%nparent >= 0 && parent < iNumber of stages should be positiveicvCreateHaarClassifierCascadestagesInvalid stages nodeicvReadHaarClassifiersizesize node is not a valid sequence.Invalid size node: width must be positive integerInvalid size node: height must be positive integerInvalid stage %dtreesTrees node is not a valid sequence. (stage %d)Tree node is not a valid sequence. (stage %d, tree %d)Tree node %d is not a valid map. (stage %d, tree %d)featureFeature node is not a valid map. (stage %d, tree %d, node %d)rectsRects node is not a valid sequence. (stage %d, tree %d, node %d)Rect %d is not a valid sequence. (stage %d, tree %d, node %d)x coordinate must be non-negative integer. (stage %d, tree %d, node %d, rect %d)y coordinate must be non-negative integer. (stage %d, tree %d, node %d, rect %d)width must be positive integer and (x + width) must not exceed window width. (stage %d, tree %d, node %d, rect %d)height must be positive integer and (y + height) must not exceed window height. (stage %d, tree %d, node %d, rect %d)weight must be real number. (stage %d, tree %d, node %d, rect %d)tilted must be 0 or 1. (stage %d, tree %d, node %d)thresholdthreshold must be real number. (stage %d, tree %d, node %d)left_nodeleft node must be valid node number. (stage %d, tree %d, node %d)left_valleft node or left value must be specified. (stage %d, tree %d, node %d)left value must be real number. (stage %d, tree %d, node %d)Tree structure is broken: too many values. (stage %d, tree %d, node %d)right_noderight node must be valid node number. (stage %d, tree %d, node %d)right_valright node or right value must be specified. (stage %d, tree %d, node %d)right value must be real number. (stage %d, tree %d, node %d)Tree structure is broken: too few values. (stage %d, tree %d)stage_thresholdstage threshold must be real number. (stage %d)parentparent must be integer number. (stage %d)nextnext must be integer number. (stage %d)stage %dtree %dnode %droot nodeVOvN2cv36HaarDetectObjects_ScaleImage_InvokerEN2cv38HaarDetectObjects_ScaleCascade_InvokerEN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEEEN2cv6detail8PtrOwnerEyXA XApaAhiXA`%)XA4N N NA8pOXAX^pX`!0`}"XAX XAЍXAXPqXAЕ4 XA0XAEXAPeXAXA<bXAh cXAcA XA0XA 0 @1 A XA,`_zPLRx 4$XyGAC P4\ AC P,X!?AC I4!i[AC M4))AC PzRx $R AC $DR AC ,RAC E4 SAC P,bpAC J$Hc!AC 4\Pc}"AC P,dAC P4H AC M$0AC 4$(AC M4\pqAC M$dAC B44 AC P4/AC M4,PE#AC M4dheAC M4 AC J4XbAC M4 cAC M,DȼcAC B$DAC B4AC P4kAC J$AC $x AC $,`1AC B4xAC G4AC M$_AC BO-x-i-r--6s-y-k=n=q=j-u-O-x-i-r-s-Gy-?k=8n=*q=#j-u-Rg-6r-O-x-i-r-s-y-k=n=q=j-u-*H-"O-`- r-H-`-r-\-2-[-E\-;2-%[- 1-L-P\-F2-0[-1-¿L-Fa-=Fr- U-H-H-߽U-ѽd-kW-Jd-ƼW-AO-wx-li-Nr-$-s-޻y-ֻk=ϻn=q=j-u-O-x-i-ݺr--s-my-ek=^n=Pq=Ij-A7u-O-x-i-xr-s-sy-kk=dn=Vq=Oj-G=u-O-x-i-w-d-r-^-<-*s-Dy-<k=5n='q= j-u-AO-9x-.i---2r---٨s-y-k=n=֧q=ϧj-ǧu-O-x-i-r-\s-+y-#k=n=q=j-u- H-O-`-r-r-џr-H-X`-Cr-1r-r-\-5-מ7-2-[-\-2-o[-\-۝2-Ý[-1-- t-t-t-]t-ɚ\-5-7-2-i[-G4-*\-2-[-1-6-f1-a-Y-ߗ-Z-~a- Dr-ڕ'-H-H-O-U-d-=W-d-W-X-W-X-W-qALH-DO-<b-0H-(H-b-H-b-_-Uc-ێb-Ҏ_-zc-l-w-H-O-b-}H- ~-؉~-Rt-D~-0b-'_- ňc-|-e}=^-V-7-/-*------zK-F/-*--ކ-----x-i-Z-K-<------Ӆ-ą----u-f-W-H-%-  ----/-- -Ã----H-3,-$-- --ӂ}=H-O-b-H-b-qH-iH-aH-Wb-HH-@H-6b-'H-H-b-H-H-b-߁H-ׁH-ʁb-H-b-H-H-H-b-sH-kH-^b-OH-Bb-3H-+H-#H-b-H-H-b-H-ۀH-΀b-H-H-b-H-H-b-wH-oH-bb-SH-KH->b-/H-'H-b- H-H-b-H-H-b-H-b-H-H-H-b-{H-nb-_H-WH-OH-Bb-3H-+H-b-H-H-~b-~H-~H-~b-~H-~H-~b-~H-~H-~b-~H-w~H-j~b-[~H-S~|-,~}=}-~}b-v}_-q}j}U}-G}c--}-}-}|-||b-|_-||u|-g|c-M|-;|-/|{-{{b-{_-{{{-q{c-^{-L{-@{{-{z-zb-z_-zzmz-_zc-Bz-0z-zy-Ayb-9y_-4y-yy- yc-x-x-xxb-x_-xxqx-cxc-Px->x-$xwb-w_-www-wc-w-w-wcw-^w3wb-+w_-&ww w-vc-v-v-vqv-lv vb-v_-uuu-uc-u-u-u]ub-Uu_-PuIu4u-&uc-u-u-ttb-t_-ttt-tc-nt-\t-Btt-tsb-s_-sss-sc-s-s-gss-srb-r_-rrr-rc-r-~r-dr:r-5rqb-q_-qqq-qc-q-q-q[q-Vqp-pb-p_- ppo-oc-o-o-ofo-3ob-+o_-&oo o-nc-n-n-nfn-/nb-'n_-"nnn-mc-m-m-mfm-2mb-'m_-"mmm-lc-l-l-lvl-?lb-4l_-/l(ll-lc-k-k-kk-Vkb-Nk_-IkBk-k-kc- k-j-jrj-Ujb-Mj_-HjAj,j-jc-j-i-ii-iib-wi_-rikiVi-Hic-5i-#i- ih-hhb-h_-hhh-hc-yh-gh-Mhg-g~-8gb-0g_-+g$gg-gc-f-f-fLf-e~-eb-e_-eee-ec-}e-ke-_ee-edb-d_-ddd-dc-d-d-dQd-2db-&d_-d dcc-vc-Tcb-Hc_-5c.cbc-b-bb-vb_-cb\bbc-a-aat-a~-ab-xa_-ea^aac-`b-`_-```c-d`-X`J`}=_-_-_-_-T_Z-&_-^-^H-^O-w^b-h^H-`^H-V^b-G^H-?^H-5^b-&^H-^H-^b-^H-]H-]b-]H-]H-]b-]H-]H-]b-]H-]H-]b-u]H-m]H-`]b-Q]H-I]H-<]b--]H-%]|-]b-]_-\\\c-\}=\-\b-\_- \\[c-_[-I['[- [[ZZZ-ZQZZ-ZVY-QY8Y-YX-\X7Xb-/X_-*X#XWc-W-WW~-Vb-V_-VVvVc-4V-UUU~-xUb-pU_-kUdU"Uc-T-TdTt-VT~-KTb-?T_-,T%TSc-S-AS-9Sb--S_-(S!SRc-R-R-R-}R-nRb-fR_-aRZR,R-'RR-RQb-Q_-QQIQc-Q~- Q-QP-PP-P-P-{P-sPlP-KP:P3PP- Pb-O_-OOOc-O}=]OO-UOr-COr-:OO-Or-Or-N#-NU-N'-zNH-rNH-jNH-bNH-ZNH-RNH-JNH-BNH-:NO-2N`-7Mr-Mr-Mr-L^-iLU-NLH-DLd-KH-KW-Kd-KW-JH-Jd-SJW-JH- Jd-IW-LI'-=IH-5IH--IH-%IH-HH-Hd-mHW-.HH-$Hd-GW-GH-~GH-FH-Fb-FH-FH-Fb-yFH-oFH-eFb-VFH-LFH-BFb-3FH-&FH-Fb- FH-FH-EH-EH-EH-EH-EH-EH-EH-E|-E}=E`-Dr-sDr-TDr-3-P>U-H>Q-C>=B<;;;-;M- :90-X9d-8W-8d-98W- 8d-7W-Z7d-6W-6'-6Q-66$-5P-5P-m5P-M5P-15M-,54d-4W-d4d-4W-3h-333P-3*-22-2-/U/...9.C+.s-.------~-Cp-s-U--&--,C,s-,-z,Z- ,-+-+-c+CU+s-.+-*C*s-*-J*C<*s-*-)C)s-a)-)b-(_-(((c-(w(b-k(_-T(M((c-'b-'_-'''c-a'-'b-'_-&&&c-&b-&_-&z&4&c-&]-%a-%%}=U%H-M%O-E%b-9%H-1%H-'%b-%H-"-P- b-_--c-b-_-Vc-V-H-O-`-H-`--a-cH-[O-Sb-DH-<H-2b-#H-H-b-H-H-b-H-H-b-H-b-H-H-|-q}=j-c-\-U-N-G---bt-Q~-b-_-v-hc-U-C->b-w_-rkV-Hc-5-#-_b-T_-OH3-%c---b-_--c-n-\-Tb-_-Sc-!b-_-b-_-qc-Bb-6_-&c-}=uH-mO-eb-YH-QH-Gb-;H-3H-)b-H-H- b-H-H-b-H-H-b-H-H-b-H-H-b-~H-v|-V}= zs-Yb-P_-=6c-b-_-yc-b-_--c-q-5b-,_- -c-b-_-Dc-b-_-c--{-cb-Z_-G@c-b-_-c-!}=[v-MzFf=?e-70 )K" N 0( "!0<(? p@o+,-;Gm>p/()x:`XPE@m8=0p .%&9 @80{ {{xp{`@80{ {{{{{xp{`XP{@ {{{xp{`@ {{{xp{`XP{@80{ {{M&2 :5h^O 48XL`0`i" X<8<h),`of `%qPЕ5N1gN;Ѝ"@e0 ( 0 8 0C  P $   Pf  @R ( `3 r 7 m  1 G p h a >UNxpOX^<p^ i  y n  h8 L Tj04C  (H, y>P +V% !05#,_memcpy_cvCanny___cxa_throw__ZSt9terminatev__ZdlPv__ZN2cv8fastFreeEPv__ZL19icvIsHaarClassifierPKv__ZL22icvCloneHaarClassifierPKv__ZN2cv5utils5trace7details6Region7destroyEv__ZNKSt3__120__vector_base_commonILb1EE20__throw_length_errorEv__ZN2cv5Mutex6unlockEv__ZN2cv5Mutex4lockEv__ZN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEE10deleteSelfEv__ZN2cv3Mat10deallocateEv__ZN2cv6String10deallocateEv__ZN2cv3ipp6useIPPEv__ZN2cv16ParallelLoopBodyD2Ev__ZN2cv36HaarDetectObjects_ScaleImage_InvokerD2Ev__ZN2cv5MutexD1Ev__ZNSt12length_errorD1Ev__ZN2cv36HaarDetectObjects_ScaleImage_InvokerD1Ev__ZN2cv38HaarDetectObjects_ScaleCascade_InvokerD1Ev__ZN6CvTypeD1Ev__ZN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEED1Ev__ZN2cv5MutexC1Ev__ZN2cv36HaarDetectObjects_ScaleImage_InvokerD0Ev__ZN2cv38HaarDetectObjects_ScaleCascade_InvokerD0Ev__ZN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEED0Ev__ZL22icvWriteHaarClassifierP13CvFileStoragePKcPKv10CvAttrList_cvWriteComment_cvWriteInt___cxa_atexit_memset_cvStartWriteStruct_cvEndWriteStruct_cvGetMat_cvCreateMat_cvHaarDetectObjects__ZTVSt12length_error__ZTISt12length_error_cvCvtColor_cvCreateSeq_cvStartReadSeq__GLOBAL__sub_I_haar.cpp_strncmp___bzero_cvSetZero___cxa_allocate_exception___cxa_free_exception_fopen_strlen__Znwm__ZN2cv3MatC2EiiiPvm_cvGetSeqElem__ZL24icvEvalHidHaarClassifierP19CvHidHaarClassifierdm__ZN2cv6String8allocateEm__ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE8__appendEm_ftell___stack_chk_fail_cvIntegral_cvWriteReal_fseek_cvChangeSeqBlock__ZL29cvRunHaarClassifierCascadeSumPK23CvHaarClassifierCascade7CvPointRdi__ZN2cv5errorEiRKNS_6StringEPKcS4_i__ZNSt3__16vectorIiNS_9allocatorIiEEE8__appendEmRKi__ZN2cv20checkHardwareSupportEi_cvSeqPush___cxa_begin_catch_sprintf_sscanf_cvResize_memmove___clang_call_terminate_fclose_haar_type__Unwind_Resume_cvGetFileNodeByName___dso_handle__ZL21icvReadHaarClassifierP13CvFileStorageP10CvFileNode__ZL33icvCreateHidHaarClassifierCascadeP23CvHaarClassifierCascade_cvSetImagesForHaarClassifierCascade_cvRunHaarClassifierCascade_cvReleaseHaarClassifierCascade_cvLoadHaarClassifierCascade___stack_chk_guard__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEEid__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IiNS4_IiEEEERNS1_IdNS4_IdEEEEid__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEid__ZNK2cv3Mat9convertToERKNS_12_OutputArrayEidd_cvLoad_fread__ZN2cv13parallel_for_ERKNS_5RangeERKNS_16ParallelLoopBodyEd_cvAlloc__ZNSt11logic_errorC2EPKc__Z25cvHaarDetectObjectsForROCPKvP23CvHaarClassifierCascadeP12CvMemStorageRNSt3__16vectorIiNS5_9allocatorIiEEEERNS6_IdNS7_IdEEEEdii6CvSizeSE_b_cvFree___ZNSt3__16vectorIiNS_9allocatorIiEEE21__push_back_slow_pathIiEEvOT___ZNSt3__16vectorIdNS_9allocatorIdEEE21__push_back_slow_pathIRKdEEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIS3_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE6insertINS_11__wrap_iterIPS3_EEEENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIS3_NS_15iterator_traitsISC_E9referenceEEE5valueESA_E4typeENS8_IPKS3_EESC_SC___ZNSt3__16vectorIiNS_9allocatorIiEEE6insertINS_11__wrap_iterIPiEEEENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIiNS_15iterator_traitsIS9_E9referenceEEE5valueES7_E4typeENS5_IPKiEES9_S9___ZNSt3__16vectorIdNS_9allocatorIdEEE6insertINS_11__wrap_iterIPdEEEENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIdNS_15iterator_traitsIS9_E9referenceEEE5valueES7_E4typeENS5_IPKdEES9_S9___ZNK2cv14DefaultDeleterI5CvMatEclEPS1___ZN2cv3Mat8copySizeERKS0__ippicviRectStdDev_32f_C1R_ippicviApplyHaarClassifier_32f_C1R__ZTIN2cv16ParallelLoopBodyE__ZN2cv36HaarDetectObjects_ScaleImage_InvokerC2EPK23CvHaarClassifierCascadeidRKNS_3MatES6_PS4_S7_NS_5Rect_IiEERNSt3__16vectorIS9_NSA_9allocatorIS9_EEEERNSB_IiNSC_IiEEEERNSB_IdNSC_IdEEEEbPNS_5MutexE__ZTSN2cv6detail8PtrOwnerE__ZTIN2cv6detail8PtrOwnerE__ZTVN2cv36HaarDetectObjects_ScaleImage_InvokerE__ZTSN2cv36HaarDetectObjects_ScaleImage_InvokerE__ZTIN2cv36HaarDetectObjects_ScaleImage_InvokerE__ZTVN2cv38HaarDetectObjects_ScaleCascade_InvokerE__ZTSN2cv38HaarDetectObjects_ScaleCascade_InvokerE__ZTIN2cv38HaarDetectObjects_ScaleCascade_InvokerE__ZTVN10__cxxabiv120__si_class_type_infoE__ZTVN10__cxxabiv117__class_type_infoE__ZNK2cv36HaarDetectObjects_ScaleImage_InvokerclERKNS_5RangeE__ZNK2cv38HaarDetectObjects_ScaleCascade_InvokerclERKNS_5RangeE__ZN2cv5utils5trace7details6RegionC1ERKNS3_21LocationStaticStorageE__ZN6CvTypeC1EPKcPFiPKvEPFvPPvEPFS6_P13CvFileStorageP10CvFileNodeEPFvSB_S1_S3_10CvAttrListEPFS6_S3_E__ZN2cv3MataSERKNS_7Scalar_IdEE__ZTVN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEEE__ZTSN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEEE__ZTIN2cv6detail12PtrOwnerImplI5CvMatNS_14DefaultDeleterIS2_EEEE__ZN2cv10cvarrToMatEPKvbbiPNS_10AutoBufferIdLm136EEEGCC_except_table29GCC_except_table19__ZZ25cvHaarDetectObjectsForROCPKvP23CvHaarClassifierCascadeP12CvMemStorageRNSt3__16vectorIiNS5_9allocatorIiEEEERNS6_IdNS7_IdEEEEdii6CvSizeSE_bE26__cv_trace_location_fn1219__ZZ25cvHaarDetectObjectsForROCPKvP23CvHaarClassifierCascadeP12CvMemStorageRNSt3__16vectorIiNS5_9allocatorIiEEEERNS6_IdNS7_IdEEEEdii6CvSizeSE_bE32__cv_trace_location_extra_fn1219GCC_except_table8GCC_except_table28GCC_except_table7GCC_except_table17GCC_except_table26GCC_except_table16GCC_except_table25__ZZ26cvRunHaarClassifierCascadeE25__cv_trace_location_fn925__ZZ26cvRunHaarClassifierCascadeE31__cv_trace_location_extra_fn925GCC_except_table4GCC_except_table34GCC_except_table24GCC_except_table3GCC_except_table33GCC_except_table23GCC_except_table13GCC_except_table2__ZZNK2cv36HaarDetectObjects_ScaleImage_InvokerclERKNS_5RangeEE25__cv_trace_location_fn962__ZZNK2cv36HaarDetectObjects_ScaleImage_InvokerclERKNS_5RangeEE31__cv_trace_location_extra_fn962__ZZNK2cv38HaarDetectObjects_ScaleCascade_InvokerclERKNS_5RangeEE26__cv_trace_location_fn1142__ZZNK2cv38HaarDetectObjects_ScaleCascade_InvokerclERKNS_5RangeEE32__cv_trace_location_extra_fn1142GCC_except_table22GCC_except_table1GCC_except_table21GCC_except_table11___gxx_personality_v0GCC_except_table0GCC_except_table20 #1/20 1548786658 501 20 100644 171460 ` hog.cpp.op  @ __text__TEXTY__gcc_except_tab__TEXTY%$___literal8__TEXTx __literal16__TEXT__literal4__TEXT@ __StaticInit__TEXTІ_`0M __cstring__TEXT/ __bss__DATA@ h__const__DATAГ`M5__common__DATA __const__TEXTЕZ`__data__DATA00O__mod_init_func__DATA(O __compact_unwind__LD0@ O__eh_frame__TEXTpHU h$ PU@gp6 PQQWwUHAVSHHDsD{ u C{$tZW)ELuPLH5PHH%H 0)AZLH}Ds{DKD)AuD[ DCDD)DSAtmW)ELu{LH55{HHH )A\LH}DsDC{D[ DKDSHcs(D{ HcHD{$HcD)AHcHHE)DؙAHHH[A^]HHH}HHHH}HH@UHG0Wf.wGGW*Y}]UHSPH_XH+_PHHH۰tH9t HH9H[]f.UHAWAVAUATSH8HIHHHEH=uxHsHX)PF)`F )poF0fEHEHEHEfH:HffEt@~.HFHHHUH H@HB,HPHDžTHPMfPHEELeHPHus|WHEHtHu HPHEW)p)`T~HE1fHHcTH9|H}L}L9tI^XI+^PHLHHH9tzHtuH9tpW)PHPHHectorSizHHHcheckDetH@)f@e(H{H r)AuHHPIFXI+FPHDžPBHXEHEHDž|HDžtHDžlHDždHDž\HDžTHML}HEHEEEHPHUA~EVA~ ADЙA~$AAFAv ANL8A^)șD)މh`H8DI(EIcL`LcHcM$HHHGHLHPHHrH@HHHFH)HHHHI@pHL4LN ICpH HHHL1HHH(L0Hf!HHHHHH@HH40HHHHHL(L0H LE1DH@w1ffffff.LHHIIHH8IHHIH9Ls5HHHIH9s1H fff.LHsE1HHE1CDCLBDBLCDCLBDBLCDCLBDBLCDC BDB I HuHt9KTKHfffff.KJH H HuHH9@ILHtAADHH9rIMLMMI9GHHHHLHH H0L(HHHH;H8HHKPHSXH)HWH9LuvHhHEE H]HPHuHEHtHu HPHEHDžxHDžpHDžhHDž`T~'HE1ff.HHcTH9|H}L9tHHH;EuH8[A\A]A^A_]HHHPAHHHHHEHtHu HPHEHDžxHDžpHDžhHDž`T~!HE1DHHcTH9|H}HEH9HHHEHtHu HPHEW)p)`T~$HE1HHcTH9|H}HEH9tHHUHAWAVATSHIIL HC}HpLHpHxL1LIt$HH8HpHxHp1LHIt$ HHK(HpHxHp1HH|H}LHuHUHp1H LHHIt$HH8HpHxHp1LHIt$HHK(HpHxHp1HH|H}LHuHUHp1H LHHIt$HH8HpHxHp1LHIt$HHK(HpHxHp1HHz{H}LHuHUHp1H LHHIt$ HH8HpHxHp1LHIt$$HHK(HpHxHp1HHzHpHLIt$(1HHzHpHLIt$,1HHzHpHLIt$0WHHzHpHLIt$81HHmzHpHLIt$@WHHSzHpHLHu1H}AD$HH2zHpHLI$1HHzLpLLHxt=HyHpHLHu1H}A$1AƄ$HyH]HLHI\$PHuHU1LLhHhHI\$XI+\$PHLHHH9tzHtuH9tpW)pHpHHectorSizHHHcheckDetH@)f@e(HxH Lw)AHHpH[A\A^A_]HHHpHHfUHAWAVATSH IIHzt LHW)EH]оHHetector-HHHobject-dHHH{opencv-H@gf@hoLHIH}W)EH]оH@ef@izwinSLHHH}IwHHW)ELeо LHblockSizH@eHLHH}IwHHW)ELeо LHblockStrH@ ef@idHLHH}IwHHW)ELeоLHcellSizeHHLHH}Iw HHW)ELeоL@snbinHLHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHH H _ALH}HHAW(HC@tC@W)ELeо LHApertureHHHderivApeHHLHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHHH e~ALH}HHAW,HC@tC@W)ELeоLHwinSigmaHHLHH}AO0Wf.wAGAGW*Y jMHHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHH}H N}ALH}HHHEC@tC@W)ELeоLHmNormTypHHHhistograH@eHLHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHH|H O|ALH}HHAW8HC@tC@W)ELeоLHhresholdHHHL2HysThrHHLHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHH|H U{ALH}HHAG@HC@tC@W)ELeоLHrrectionHHHgammaCorHHLHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHH{H YzALH}HHAWHHC@tC@W)ELeоL@sf@elnlevHLHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHHzH iyALH}HHAHC@tC@W)ELeоLHGradientHHHsignedGrHHLHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHHyH lxALH}HHAHC@tC@IGPI;GX,W)EH]о HHSVMDetecH@ rf@toLHHH}HHP{@uyW)ELeоLHen givenHHHhas beenHHHnt name HHHNo elemeHHxH dwALH}HHW)EH}LEй HH}IPH]H}LH}C@tC@W)EH]оH}LHH}H [A\A^A_]HHH}HHHH}HHHH}HHHH}HHHH}HHHH}vHHHH}UHHHH}4HHHH}HHH}HHHH}HHHH}HHHH}HHHH}{HHHH}ZHHHH}9HHHH}HHHH}HHHH}HHHH}HHHH}HHHH}vHHHH}XHHHH}:HHHH}HHHH}HHUHAWAVSH(IHHP{@uyW)EL}оLHen givenHHHhas beenHHHnt name HHHNo elemeHHsH rALH}HSW)EH}LEй HH}A6HAvHH}C@tC@HH([A^A_]HHH}2HHHH}HHH}Hfff.UHAWAVSH(HIW)`HH`1H`H{tH}HHH}H1HuHUH`1H]L}H}HHLHH`H;u3HhH;u#HMH;uHMH;u W)E HMHEHMIHuLPHH([A^A_]HHH`HHHHUHAWAVATSH`HIIW)EH}HMкH}IL` HCHtH HMHEHtA H}LHuHULAH}H}H`[A\A^A_]HHHH}H}HHHHH}HHUHAVSIHCAFC AF CAFCAFCAFCAFC AF HC0IF0C8AF8HC@IF@CHAFHI9tI~PHsPHSXAA[A^]ffff.UHAWAVAUATSH MMHIIHhHHHEH5HA%t`W)HJH5eJHH2fH cH)AHIc$IcO HIcHIcD$IcOHIc^HA}HHL!A9]uA9U uA#E uI}u,H LHA~ A9^uA9V uA#uI~u%HLHHDžXHDžxHXHxLLADžBHDž4HDž,HDž$HDžHDžHDž HDžHDžH8LHL@HDžPHDžHHHHHLHhxHHL(YHfo YfoZfo Zfo%Z[QAl(f[QAl (f[QAl0(f[QAl@fHHr(YA(YAG(YAG (YAG0(YAG@(YAGP(YAG`(YAGp(YA(YA(YA(YA(YA(YA(YA(YA(YA(YA(YA (YA0(YA@(YAP(YA`(YAp(YA(YA(YA(YA(YA(YA(YA(YA(YA(YA(YA (YA0(YA@(YAP(YA`(YAp(YA(ZA(ZA(ZA(ZA(ZA(ZA(ZA(ZA(ZA( ZA ( ZA0( ZA@( ZAP( ZA`(ZAp(ZA(ZA(ZA(ZA(ZA(ZA(ZA(ZALHDHHH= HHr-HHHAHHH|Rx1ffff.A+ $| Xx)HHCHH;H|Ã|b|HHLt1ffffff.A+L$| \|)AHCHH;H|HHL@L0= H8Lr)HHHAIL0HHE1ɉMMHxE1ɉLHMHE1ɉL[HMH8E1ɉL%LhLeAC1A|_AKHcуOʁ1foWfAo foffpffpɠf:3A HH9~σ9HcHHH)HIIIXHDKAHIt0IyH)1fo)WfoLoTo\o$f8@f8@LTf8@f8@\$HHuMt/HAoAoLfoVf8@f8@AALL9tLIH)Ȑk  HHuL`1AH; IT$HKT HWA*B(H EV^Z)`)pACHHOȁtHcHDHJHID$H1HHHHPHHLc4L2IHPPLcDLIHLcLLIHHHHHHHHHHHHHHHHHH1AF1Lfff.IcTIcLIc\ Ic|McMc\AEAAA>D(fE:!fE:!< CfE:!<0CE,AfE:!,ADE ADEAD>A(fA:!fA:! CDfA:!0CDE4ADfE:!4ADEADE$AD>A(fA:!fA:!, CDfA:!,0fD:! CDAADfA:!AA$A fA:!$AfA:!$ A9fA:!$0AA AfA:! AfA:! A8fA:! 0ADAA~A8AxLLHHHAHIHHAFXDA DF\DqYHcyDIDDDY Dy$DQ(D)HD)ؙANhFlDDHAHؙDLANpFtDAȉNx~8H7\D)~`D~dAAH˃'D9u9u#u Hu*DHHHD9u9u fDH1HHcLn@HF@HNHH)HH9sHH)Lu-vHHFHtI}HHGHHLcDžBHDžHDžHDž HDžHDžHDžHDžHDžH H0H(HDž8HDž0DHHLIH0Wf.wHHW*Y 0.pHHLA MLIr6LHHHAILLLMMcH0H A L(HPLr:LHHHAHPH LLME*DY D4E*A(1ALPIBHHOHHHHH s( 21HHyH)(11fo%1fo-1fo52fo= 2f.[\Y(fA[\Y(fAD[\Y(fAD [\YfAD0HHuHt6IHfo%^1fffff.[\YfHHuDƒDY3D9=HcLH)H IIfnfpf0IpH~HI\0HWH)1fo%0fo-0fo50fo=0ffffff.fof[[\\YYLDfoffof[[\\YYD HfHuHt(H[f00[\\YYAALL9t/Lfffff.W*A\YAHI9uA(1A IEHHOHHHAH s(/1HHPH)(r/1fox/fo%/fo-/fo5/[\Y(fA[\Y(fAD[\Y(fAD [\YfAD0HHuHt6I Hfo.fffff.[\YfHHuDD96HcLH)HIIfnfpf}.IpH~HO I\0HWH)1fo`.fo%h.fo-p.fo5x.fof[[\\YY|Dfoffof[[\\YYDaHi=III9t9HLHDžHHu4HIHHtHu HHDžHDžHDžHDžHDž~*H 1ff.HHcH9|H(H0H9tLHfUHAWAVAUATSHIIHA7AOA7AO{8T{`uDCdșAW)pLp?LHght == 0HH7Hide.heigHH0HcacheStrHH(H pt.y % HH H == 0 &&HHHde.widthHHHacheStriHHHpt.x % cHH%H ")AkLHpA7AO{`DCdAĉșALcHC@B; @DHH`HLpH@H`LW)P)@H@LAGHK@BHEHtHu HpHEHEHEHEHEt~#HE1HHctH9|H}HEH9tHH8HIHHcsxIcHL$L1LB<0AA7AOC|HhELcHLcHIH`HcL,HL0LIHcsxHLLhILCE~qLLfB0YB H2HzHcZIA>ALYX A|>AYDX H8Hu]A9|E9E1ҋ]A9}HcIcHk8LH)fff.HHrADALR0Z YYYHcBIA<6 XAt6X HcBIXX  H8HmAE9IcHk8II)@IIPADATAX0AH YYYIc@IA XATXIc@IXXIc@I(X(XIc@IXX  I8ILHLPLHĘ[A\A]A^A_]HHHEHtHu HpHEHEHEHEHEt~$HE1HHctH9|H}HEH9t&HHHHpHHUHAWAVSH(ILcxAYI_HrfDA YXHH9vX(XXL9D)IOH)HtH@A YXHHuHrQLH)ID fHPYXYXHYXYXHHuQMx WA*LHDH WH*XY X-(^H@@ZE(uTH=)])e(e(]-Ht,E)H=(e(]-HAY( ]AYr,ffff.AY]AYXHH9vX(XXL9MD)IOu HH9u>AYU.HUHuHGAfnYXHPH9toLH)ILHUHufQYU.HHG?yfnYXYE.HHG?9fnYXHHuQX^(IV01LfDJYJHHHH9vL9LH)HIIIYHLCH{HH)1ېJRZ"YYJRYYZ"HH@HuAtHA ATYYA ATL9t#HHI I)YHIuH([A^A_]1AufDUHDB+FX9AAD+F\DyDGH]fUHDNXDV\D)DqADA)EDwDODW H]ff.UHAWAVAUATSH L@MHIIIHHHEH5H3HXK uAw HX0AO$HAW9։LNօ~ffff.֙҉AW9щLNх~ffffff.љ҉LxLHPTHLH@HAH+HhAEAM1҅H‹PD!AuIыTD!AMHH0LpLLL= HX@HxDpXDx H$H(HHHHdH `H0Wf.wB3W*Y HxHH~@@fօ8HLDžBHffHDžHDžHDžH H0H(f0PHHTHHP E1H1Ƀ Dž@BHHff`HDžTHDžLHDžDHpHHxfPTH@HPE1DAljؙHAE)DAA)ދDDžBHffHDžHDžHDžHHHfDžPTHHPE1+dؙ+`0ЙDžBHHDž8HDž0HDž$HDžHDžH@HPHHHDžXHDžPDžPTHHP1E1DžBHDž4HDž,HDž$HDžHDžHDž HDžHDžH8HHH@HDžPHDžHHHPHHPZ(XY^,@HLD4D8<HH88HHH0+T~HHhHHLcdLc`HcpHLHLhHII $IT$H)HHH)v L s HID$MH@MLEHH1HILIM4$HH;AHt{D+ؙ~LcHH(HcHEHcHELcH]HL`DHMHKPHSXH)HfWH9v fWf)pHEH`L@L0M̃} L4LILpI\H]LLHxMH0uTMtLxLH t HHH[A\A]A^A_]E1H0tHEHEHEWZH`ȃẺȃHcHAHHOHHHHxLuA^H8)LIvH΃˃HWH)HHHHPۉTI)HHHHHHE1L@LhH]@HEHH;CHth ЉMЋDEAU9HXV Hu+V9AM9HXJHU+J 9@D+A?HәƉؙ)AOA+EA+MEЉMԙ}u ș}tWfWf)EAH]HAHH5)AHH,H H}EHELhP`h1ffffff.H[H(LDMEԉMEHpHHu}AMYXWZ(XWZXXEEHsfff. TAYLZXAYTWZXLAYLZXD AYD ZXHI9ut$H AYLZXHHuEHLmH;]E1$H8LH@KH(LDMEԉMEHpHHuH AEYsHumH@ T\ d0AlYXADYXAL YXAD0YXHHuHt2HHfffff. AT YXHHuM;MXZ(XZXXEEPTH8D AYLZXHu僽LHrcD TAYLZXAYTWZXLAYLZXD AYD ZXH9uEILmL;} f.L@LhH]r`HHGH;GtMЉMԉHHHG HuHHGH;GtHMHHHGHufDHHH;0LpMDNHp?HHMHà uV`"HHH}HHHpHt HxH t HHHff.UHAWAVAUATSHXMMHEHUIIH5H}W)EHEI$H@H MȋKMAMAOML4$HMLELMLLHUEH}Ht H}}t H}HX[A\A]A^A_]HHH}Ht H}}t H}HHff.UHAWAVAUATSHMLLHHMIHIHHHEH5HI?LHH]HfWf)pHEALAf.EH1Lp1E1HH9uUmffff.W*^-;C |YEAD;}ffI~HxHMH9tL0HHxLufDLHLuW*^-;CiEAEOLuHHpHLuDHpHxH)HH9sH)HpLLv HHxHHA uAGHHAGA9H}"H}Ef.dHHAHH@AC H}= HH @AGHAGHAG AG$AG(AG AG$AGEAG EAGHEAG@ AO0fWMf.w%HHW*YZEA(AfWf)0HDž@f)PHDž`DžBH HDž@HDž8HDž,HDž$HDžHHHXHPHDž`HDžXHHuDH}%,D9 u#9$u#9u H8Hu!Dm]HHUE1HpH9x"H0H8L,LHHEH}11LHHPHt HXH0Ht H8H9fWf)PHDž`f)EHEf)HDžf)HDžL8LH}=HEHpH8)0F)@F )PoF0f`HpHHxfH:Hfft@~2HFHHHxH H@HB-H0HuDž4H0LpHxL)HDž@DHEHD$HHD$Ll$HPH$HH0LHHIH@HH]L}L9tWLfff.HH;t H HHHHI9u@LHHI9uI$ID$HPLXL9LtYII;D$uW*YD-DD)A9Hu|EAD9MDD9};$HH H9pL(;UHHuFH}HGH;GtEDDPHP HHGIGI;GuELHHuMII9|XHHuMIGI;GtHHHIGII9|HuSfff.HpLLLHD-D-T-T-|DD CK H;E9HB MHB MăOȉ$H1҃ ffff.I9tkEA9~bD-sD-C-s-W*Y-D)A9|4W*YD-DD)A9|D9uDD9EHH HuH9|HMHHAIIGMtLXLH0Ht H8HpHt HxH}Ht H}t HH[A\A]A^A_]LPMxHpHHH}HHÃHH0HtLHHpHtBHH}Hu:AHHHPHuGH0HuSHpHu_H}Ht H}t HHHXH0HtH8HpHtHxH}HuHUHSPHHHHCHHtHu H{HCHHC8HC0HC(HC {~!HCP1HHcSH9|H{XHC`H9tHH[]HDUHAWAVAUATSHhEUMMHEHUIIH5H}W)EHEI$H@X MȋKMAMAOMAΉ $HMLELMLLHUEMUH}Ht H}}t H}Hh[A\A]A^A_]HHH}Ht H}}t H}HH@UHSPHWH=CHHH5(I(KH H(HH04H?H@GH\HTHLdBHHHxHpHhHpHHHHH@H=HH=HH1H; H[]fUHSPHHtH;Ht HPHH[]fDUHSHH}HuHHH(C(CH HC(HHC0C8H?HC@CHHC`HCXHCPChBHCpHǃHǃHC|HCtHClHHHHǃHǃǃǃ@ƃHuHu HHP1HH[]ÐUHAWAVATSH`HIHHtpHtkH}1HHL` MW)Et*LIMtH}LHLLHuHUHAH}H}H`[A\A^A_]HHHH}H}HH@UHAWAVATSIMHHHHC`HCXHCPHC HCHCHCChBHCpHǃHǃHC|HCtHClHHHHǃHǃILcPL{hLHP81H[A\A^A_]ILI<$Ht H{XHLDUHSPHHCHCH;HCHHH;HKH5D(D(L(T(\DLT\(D(LDL(D( D H HuHX =żH;H?-xq=H;ǀ;*NHKHH[]ff.UHSPHHCHCHHCHHHHKH5(D( D H (D(L(T(\DLT\(D(LDLHuHpCL\ HHs兽HǀCHKHH[]ff.UHAWAVAUATSH8MMIIH`HH5H I$ID$IEIEHCPH]H;CX;I?IGHEH9'A6AN uHEp A6H$ANLH]S9։LNօ~f.AԙADALhS9щLNхH}~AיADAD0D4HMq1҅HADAA!D!IADAA!DyEH`Db EDzH0H$HAHIHEH+EHHEu,D+DA>D+DA~HHEHH8HcHELcLc HDHMHKPHSXH)HfWH9v fWf)pHEEMLu}N4LHHpMN$LeHLLxLuMH}uSHtHxHH(t H H8[A\A]A^A_]M1H}tHEIHEWZDEDHcIGHHOHHHHxLeA\$HH)TIt$HDDHWH)HHHHXۉ\I)HHHDH@LJHEE1I$HhL`L}EHULzP1ffffff.L}EȋMH[H8DLEMHpHHu}AYXWZ(XWZXXEEHI$re TAY ZXAYTWZXLAYLZXD AYD ZXHI9ut$Hf AY ZXHHuEHH;]ufffff.I$HH;]KE1ffffff.L}EȋMKTmH8DLEMHpHHuH AYs1H@I$HHH@I$ T\ d0A,YXADYXAL YXAD0YXHHuHt2HHffffff. AYXHHuM;MXZ(XZXXEEX\HHfD AY ZXHu惽Trjffff. TAY ZXAYTWZXLAYLZXD AYD ZXH9uEIL;mHHT{LIEI;Et$HIEHhEf.s.eLHuI$HhEf.r9HHGH;GtMȉM̉HHHGHuI$L`HEH BEBLMHU9|8AW Hu+V9)HUR9|AWHu+V 9LEIEI;EsLHIEDLHuI$IL;u]HpHU_Hp!H7HÃ(u@JHHHpHt HxH(t H HHffff.UHAWAVAUATSHDEEHIIIH5H}W)EHELuLHCH+Him۶EEHHEL4$HHMLMLLEIH}HHHH0HtHu HHDž0HDž HDžHDžHDž~&H81HHcH9|H@HHH9tHHEHMHH)HI?I_H)HHH)vLHEHMH9us HHIH9IHqH)ƉHtH@HHHuHprR@B@ B @0B0@@B@@PBP@`B`@pBpHHH9uLuH}H}Ht H}}t H}H[A\A]A^A_]HHHHHH0HtHu HHDž0HDž HDžHDžHDž~$H81DHHcH9|H@HHH9tHH HÃ}u&-HH}H}Ht H}}t H}HHfUHSPHHHHCHHtHu H{HCHHC8HC0HC(HC {~!HCP1HHcSH9|H{XHC`H9tHH[]HDUHAWAVAUATSHIHHHEHHH=7HEH5IM+H}ƾ LHH5ӾH}DžlHlLHNlqHXLHDLH}LHpLHHLH\LLc\IrdW)ELuLH& l < 0xHHHl >= 0 &H@FFFFHH )ALH}IHIOHþHLLHHHLH}LH}LHpLW)EHEXLcHIW)EH}%H< 0xFFFFHHHords < 0HHH && totwHHH + 1 > 0HHHtotwordsHHQH Hu)AH}LPMwLHHHAHþHLL`LL9E~UE1LmLuBZEHEH;EsHHEIM9|LLIM9|pZW EHEH;EsHHEL`HPH}HuL`HPHH@HEEHMHMHuHLH}Ht H}HHH;EuHĘ[A\A]A^A_]W)EH}Hot existHHHfile notHW)EH}qH5ݲqHW)pHp HreadALTMH@odelXIHUHMLpAiLH5HL&W)EH}Hversion?HW)EH}qH5qHW)pHp HreadALTMH@odelLXIHUHMLpAsLH5HLZW)EH}Hot matchHH Hdoesnot HHHversion HW)EH}qH51qHW)pHp HreadALTMH@odelLXIHUHMLpA{LH5HLrLXILH5HLW)EH}Hot matchHH Hdoesnot HHHversion HW)EH}qH5qHW)pHp HreadALTMH@odelLXILH5HLtLXILH5HL?HH`XILH5HLHLH}HH HLHp HHH} HHH}|HHLHH HLHp HHH} HHH}HH HLHp HHH} HHH}HH HLHp HHH} HHH}mH@HHH};H HHH}-HHH}HuHH}Ht H}HDUHAWAVAUATSHILH_L)HHW)MHEEL]LhtILcLH>mN,LIL}O4LuLLLuEL]E1HH]]H]HFكHs 1HuBhH)1IIDIDIDID ID(ID0ID8HH9uHt(IDHٺfffff.HPHHuLcUE1LL`DDffff.AIcADžyLHITLHXKHEE1LEHUtDLEffff.HcAυyD9L]uHUIM9:IcATA9T~E$AATAHpHUIcA<fWf)pHHENT] < 0HHHot][PAREHHHnodes[roH)AHHfH iHEL]L`LEHUCx!K fff.D!HI ADžyHHU fffff.D!HI ADžyf.M9LHE 3AD3:)OA\3 BAA)OW*YYHXD)ωLW*f.rvDBAt3D)LW*f.rHD)ɉLW*f.r/EA)DALW*f.ffffff.LEHUL]IM9IM9LLuIcHhH HSH)HHH)v H sHHCEuHD1E1fffff.HcAIFHH)HI9vuHt"I~IFIFI1LH{xA~{|A<$A|$LHHHHH([A\A]A^A_]IHEHHtHu H}HCHHC8HC0HC(HC {~$HCP1fff.HIcH9|H{XH;}tHLHUHSPHHHHCHHtHu H{HCHHC8HC0HC(HC {~!HCP1HHcSH9|H{XHC`H9tHHH[]Hffff.UHAWAVAUATSHIHHHEHcHLcv~I&A|IDAEAM9L*A*M^,*1f.WA*M^,W*1f.AMDž`BHhDžHDžHDžHDžHDž|HDžtHDžlHDždHHHHDžHDžptH`HpfWf)PHDž`f)HDžD9IEH8LeL}HhL0IH HHHWA*EfHn^-WA*E^D-hDlAU!HpE1HpIEP;X*D;0!@DDAU!IM ME`HH@HEHtHu HpHEfWfA)D$fA)$t~HE1fHHctH9|f(f(((f)pf)M)U)]H}L9L}HxHEH(HHEHGHEH0DHDžDžH8HHDžDžHpHHDLfWfWɹHHHHf:Kf( f)EH0H(HH HDžBHA0HA(HA HAHAHAHHDžfWf)Af)A H9tI}HH@HAEpAMxPAM|TAXA\fWf)HDžHH $HpHPHLPLXHHt HIEIW*@)H(W*@ f)LHPH9X%(f(YD-f(YD-E1ff.IWB*HY-WB*DY-DDHWH;Ws* BDrDz HHWIHu!SHIHt4HGH;GtHHHHHGf.HHIHPHXH)HI9IILeIHH;ILPHXL9tkE11f.IHHGH;GtHHHHGLLPHXHHL)HIH9rIHEHH L0Hht"HuHpHhHEfWfA)D$fA)$t~HE1HHctH9|H}L9t HhHL9HHt HHPHt HXHHtHu H`HDžHDžHDžHDžxHDžpd~#H1@HHcdH9|HHH9tHHH;EuH[A\A]A^A_]HHIHHtHu HHDžfWHf)@f)@ ~.H 1ffffff.HHcH9|H(H0H9t`YHLJHIHHt6HHEHu?XIHHIHEHu.IILeHEHtHu HpHEfWfA)D$fA)$t~"HE1fDHHctH9|H}L9tHHt HHPHt HXHHtHu H`HDžHpH@H@H@Hd~!H1fHHcdH9|HHH9tLHHf.UHAWAVAUATSH(MAHD% BCLkHcFCHcS HKHKHC8HC0HC(HC Lk@HsPHsHHCXHCPHHHHt|W)ELeLH= __nullHHHdata != HHH== 0 || HHHtotal() HH`H `)ALH}S LmEAAAADɸPH$ALcMMLA"DDH1LHHtyW)EL}LH of esz1HHHultiple HHHt be a mHHHStep musHH_H _A$LH}M9uLHELu K@CIHKHL1LaHIHCHC(L)LHC H([A\A]A^A_]HHH}HHHH}HHfff.UHAWAVAUATSH(MIIHHHHSCBHCCLHCDHC<HC4HC,HC$HCHCHCPHC`HCXHChHC`HǃHsL9GHEL{IE8HHUt@@HCHHEHCHHt3Hu$HLMEELMHCHHEHCHHC8HC0HC(HC {~[HCP1HufHIcH9|AEEAEu4H?HHHH9HL9r|H9IvtLMwI)J6IM9IFHH)HHtHHEHMHMHEM9vI)M~[IHLMgFHIGI)MIIHH>5H?I)LHHH9H]H}wsII9LBMI9v^HH5rMHHHHH5HHH4LIDIF~IJ<N$HEJHEL}J4LO$MH]~H}HLHEIMfHEIFHtHH([A\A]A^A_]H([A\A]A^A_]E11yLIHLUHAWAVAUATSPIIMnIFHL)HHHL9HUUUUUUUM>LL)HHJ#H9L)HHH H9wHH9HBHHHuHH<@HUH [HH RHHEIO$dHLIM9t(AECAECAEMmCH[M9uM>HEIMfIFMt0LH[A\A]A^A_]IKdLHIMnH[A\A]A^A_]11MLUHAWAVAUATSPIII^IFHH)HHm۶m۶mHL9I$I$II6H)HHJ+L96H)HHHH$I$IH9wHH9HBHIIk8HLk8IIMLHHL@HC0HC(HC HCHCHCHH8IHuIk8HWffffff.HC0HC(HC HCHCHCHHChHC`HCXHCPHCHHC@HC8HǃHǃHǃHǃHǃHCxHCpHǃHǃHǃHǃHǃHǃHǃHǃHǃHǃHǃHǃHǃHǃHǃHHǃ@Hǃ8Hǃ0Hǃ(Hǃ HǃHǃHǃxHǃpHǃhHǃ`HǃXHǃPHǃHǃHǃHǃHǃHǃHǃHIHM.INL)H۶m۶m۶HHHH?HHHk8IH~LILHLM&I^IvMLH[A\A]A^A_]IELHtQHHC0HC(HC HCHCHCHI^H8I^IHuH$ff.HC0HC(HC HCHCHCHIFHH8INH@hH@`H@XH@PH@HH@@H@8IFHH8INH@hH@`H@XH@PH@HH@@H@8IFHH8INH@hH@`H@XH@PH@HH@@H@8I^H8I^IH[A\A]A^A_]LIk8HE11LUHAWAVAUATSH(HIMnM~LL)HH9I>I)MIIHH>5H?I)LHHH9H]H}wsII9LBMI9v^HH5DHHHHH5HHH4LIDIF~IJ<N$HEJHEL}J4LO$MH]~H}HLHEIMfHEIFHtHH([A\A]A^A_]H([A\A]A^A_]E11yLIHLUHAWAVAUATSPIL'H_IM)IIEHH=ILM)LHHH9w]II9LBMMH}M9vGHH5>CHHHHH5HHH}MJ<H}NNAB ANBLNLL9HKL)Ht(HLҐCBCH[BHRHuHs KLHrBHfCBCCBCBCBCBCBCH[BHI9uHHILLOLGMtLH[A\A]A^A_]H[A\A]A^A_]E11 IHLUHAWAVAUATSHIIIuMeI)MIIGHH=HMuI)LHHH9waII9LBMLEHuI9vKHH5SAHHHHH5HHLEHuIJ<HHuLEN4IJN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLffff.UHAWAVAUATSH(HIMnM~LL)HH9I>I)MIIHH=6HI)LHHH9H]H}wtII9LBMI9v^HH5?HHHHH5HHH4LIDIF~IJ<N$HEJHEL}J4LO$MH]~H}HLHEIMfHEIFHtHH([A\A]A^A_]H([A\A]A^A_]E11yLIHLffffff.UHAWAVAUATSHIIIuMeI)MIIGHH=HMuI)LHHH9waII9LBMLEHuI9vKHH53>HHHHH5HHLEHuIJ<HHuLEN4IJN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHLffff.UHAWAVATSHIM~MfLL)HH9II)IIHH<2HI)LHHH9II9LBMI9HH5<HHHHH5HHHCHHt+HDIGIM~IM~HHuHYIGIIFHHINH@H@IFHHINH@H@IFHHINH@H@M~IM~HuILHIIHSHHHLfHAHHHHuIHHAHHAHAHA(HA HA8HA0HAHHA@HAXHAPHAhHA`HAxHApHHsLI>IvH9LFI)DHt;HLDFHCHHuIpsoLIHLIprSHFFCFCFCFCFCFCFHƀCHÀH9uIIMI>M>INIFHt [A\A^A_][A\A^A_]E11 LIHLfff.UHAWAVAUATSHIIIuMeI)MIIGHH> H?MuI)LHHH9w`II9LBMLEHuI9vKHH5$9HHHHH5HHLEHuIJ<HHuLEN4ABN|M~HLILI]M}MuHtHH[A\A]A^A_]H[A\A]A^A_]E11LIHL}uTT!u ~^!r ju   y*^j! a~t2 qd IA!O) GR f^ rrD <(& 8 >U c l4  1  fe!,  $ S  f_!   Ei  a v!  XH  @ fu!  S'    fo!  U  fk!   I  f[!f | ^ V  fX !E y =  a  z  f` !$   a Y  E 1  ' 5 H V i w       / = 8 ,d r       * 8 K Y l z       ) 4G XP}uvv!  * "@ - 86IA 05 (HI3 A?!}u1 ` lz  $ ݃jj&{%  )l|<+~ 4 ^^t""i"C2^% (i p    *eV NFI>q, $7րNOnv1-})}!]xd}u&+~ g !  ZrRH-us  $h$$ l$g$ b$y]$:$4#/#AM###Y""""V"" ."$ "a"\" "'t"/ l"; j""Eh"Cf"] Z"i(I"G"8"!w!E#f$<'$9$b $x w iy$a! q$m!J!w0"w" "#$$g]%A% U%M%恀KKg  b J X UZ Z  ! w V  4u L X   IAhh!  vvt`'} F%\MD  p `+ < y4 ,*  { {-y d恀oo#"  bG NRF LG 8;x p N   W /fIArr.  [SS _m{  )'=XX#K F D D O] Y Je c ea g 8 D  HH }& |  /f!(   "  .@  N  *> 0  !" 0 F.t } )"\ W J\> j( )"  [w)}x0#Sv[qq9   0 + 6 A O J g u         + 6 4 7}uc n) _!(  0}u!d \!F >I Tg xpoo   0-3BuB@B9 E"g  GۂHHe q  $ 0 <2!<g~u>1>s;9  "q5 AP      \Eq 4$ v,$P Z R2+ J72) ]A<, "4)] ny    45~~ ~cc ? 7  / ' w a ' D 4  HCv>59OLJH#-@%\   _i  _,{X _x W;'3 ''.N z')  y |. :8[ E(Ck6 C O%8- MG *^z   !b s   s z!!s!!H)'J)'Z'ij /f _  '  0 \ 0  p  : 3 c f W U3 { 6 ^n  f ^ }u!h  `!J BM Xk |t'-Kf /f66:ze'x_"  &u|w rypY W    )'ZIA  IAcc o  )')')'J)'P)')'P)')'O?????????𿚙??-DT!@-DT! @ ?@@@@@@@AA A0A@APA`ApAAAAAAAAAAAAAAAAABBB BBBBB B$B(B,B0B4B8BC?C@CACBCCCDCECFCGCHCICJCKCLCMCNCOCPCQCRCSCTCUCVCWCXCYCZC[C\C]C^C_C`CaCbCcCdCeCfCgChCiCjCkClCmCnCoCpCqCrCsCtCuCvCwCxCyCzC{C|C}C~CC-DT!@-DT! @???? ?? @`@<<<<@@@@@@`?? @`@<<<<@@@@???=?o:??A<??A &, cv::Size, cv::Size, const std::vector &) constvirtual void cv::HOGDescriptor::detect(const cv::Mat &, std::vector &, std::vector &, double, cv::Size, cv::Size, const std::vector &) constpt0.x % cacheStride.width == 0 && pt0.y % cacheStride.height == 0detectvirtual void cv::HOGDescriptor::detect(const cv::Mat &, std::vector &, double, cv::Size, cv::Size, const std::vector &) constvirtual void cv::HOGDescriptor::detectMultiScale(cv::InputArray, std::vector &, std::vector &, double, cv::Size, cv::Size, double, double, bool) constvirtual void cv::HOGDescriptor::detectMultiScale(cv::InputArray, std::vector &, double, cv::Size, cv::Size, double, double, bool) constopencv-object-detector-hogvirtual void cv::HOGDescriptor::detectROI(const cv::Mat &, const std::vector &, std::vector &, std::vector &, double, cv::Size, cv::Size) constvirtual void cv::HOGDescriptor::detectMultiScaleROI(const cv::Mat &, std::vector &, std::vector &, double, int) constrbfile not existreadALTModelV6.01version doesnot matchl >= 0 && l < 0xFFFFtotwords + 1 > 0 && totwords < 0xFFFFvoid cv::HOGDescriptor::groupRectangles(std::vector &, std::vector &, int, double) constrectList.size() == weights.size()groupRectanglestotal() == 0 || data != __nullMat/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/mat.inl.hppStep must be a multiple of esz1compute_gradients_8UC1_kernelcompute_hists_lut_kernel-D CPU -D WAVE_SIZE=%dnormalize_hists_36_kernelnormalize_hists_kernel-D WAVE_SIZE=32extract_descrs_by_cols_kernelclassify_hists_180_kernelclassify_hists_252_kernelclassify_hists_kernelallocator::allocate(size_t n) 'n' exceeds maximum supported sizevirtual void cv::HOGConfInvoker::operator()(const cv::Range &) const/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/persistence.hppNo element name has been givenoperator<<nodes[root][PARENT] < 0partition/Users/build/buildAgent/work/b5d3ba53e49a4b81/build-victor-deps/build-opencv/opencv/modules/core/include/opencv2/core/operations.hpp\9| 3@܍ R<[=iblO={=.>==9_ԗ=#|=5=OO<=6>&=dU0O=Q=La6rDT=[=G%5;=Gf<<=&XVNͼ[<?8o(_okhik=S<򐽏Tսh1=К󳽹o=e:;ҡ|*7=)<I;=\;Y޽tN׽혼n$><=/}<tMYjaf:ׇTqڼI5(K߀=ܖ~5=eZ<H= j߼*<Ѫ=2z=X=떐=W)9=P5מ>\=R< 6zDW<\ =`w*&HCYG=M=%=8kpnx=N)=gɼ:=NĽ8e"X-=e<7P<{n?==5)b?PނXZ1Nn\i=y>@L.=8M=(>=,=Ǘy<= z=iFsX=/= YuOs8< 1>؅ p‡*=z<| #?=X%==V;!;;}=m0%z^P >>\0F<;<ަWa6;=72>z_{Ys]~e7BzC=U>'绽::u=Ó=O<<l t<4>ܙ6<*Xe*rM,='=K;ټj!n5\r<0=CnDZ[9q<ٰ-|,կ;>= Y_KA&;ҼX94Ch3 P;ܽ•5'C<[KW<9;=%al]9 ˽O<= ?=_==9^=[m;0=dԩ:^>[=P=qh==I5<5`p#Q6Aν'}(^oP20ؽ̽F(\&z,=s='=8>\>/^>eB>ֽ<>_ںg;l<=y<<\=/<=`s 5^,YwW=³[:5S2-f=~`н۽uЀ=4L&<|P<=H>&=b=Sb=Yh&M; ( k)w%wZ:;WNκc;H==š;';7=*?=V=䷰y=4ɟg;'< eü L=l=p2<E==J=䕷Z̽h[>tYᠽ< fG?p!(X; q=w^ >=-B=rard>=۳ϽNvN0>_>ذ>l>vig=}(=r=H0 =K|<7Ľ-q<1u D= >)ƂX=*>A>̚YJk =R<>4>7 =h9>I4a;I>">a>V>>ϕ>N<Jʽ2=<~>͋1>+A=ս*%'WEŜ Yc>>).>I}&< >"=F=%~;5z^<'%O>1>=ai=.=;Ż^.&D==؝5~= >j5Ch;q==͈<;<|ڽ& ԽLϳHWU='z|87a>dm<񫁽 ;q<0߽5񣽵6]}zaԂ==[d&pǼA-hF<Չɻl=<-x<1>@>h=kA IjZ=;-=1>+=<[v ya<9 =ݣTj=żՌP= @於U)=+Fz<I=zz=;# =H<>S]>v<ژ;jҽAFub2=Xr潽U9&4ԓ=X=R==*0(=&l=<=; <ۋ0+1q;=G={=(<1`H ļф=O<&>Y2'n㎫hPL=Z-^=|Z= ;Ϙfi:a^ٌq<:7<:"{j;VvϽweټG؄=zI>}I+F*! ==luK=lǨ=&z;ѽf<, ;;X9]"i:!tFU{Ѷ<׏=ƖW{F\'U2^='5>59vS=Lɽ ½RP&>6F>@| <="t>P =젷_>3A[>W >jV>)=^=c=-N=Kd==>#e=j>G<->?R==A=Q2`lW7ֽf ؇Ys]jC>*D4>R=C= >ڐ>x>?#>>i. tQ=z,ݽƽyXpB<N=ʏ=3ֿǘH\/;OqɽՒ3>U4>$uTa< s>=jC>->K;r!g;f򐕽O_=%b> ccj=~G>R$=ֹ?>M?Ž6 =z >.E>j$=7 =rezf-ظ }p>.f>Ո><=)>Be>d=tW bQُ=Ψ=99>u.M> >~㽓OAx=SR>q8=5 =a> >>Au*>NE>1<3v=(;K<<== =,====m<IJ=1>L=cB>?%!>V,><+~(=Q><6>z>u:>N>t=Vvν>O>[#b==C`=>j>b=/>J>u=GK[e|)xB!C=M=V\NЂ >4f>t>=谊>>V==!u0*1$=,=HqE}U^M^HG<o,xxC<< l`(ռwU: =}i^8<2ͻ޼Ox.={4u=O@ぽerI<K=g=V =z=.0&@KS==EUPf=gP뽂9t<=l=H= )kk6z/Cּʼ<={=m>3@=8=*/ѽsE`y4`=t=qd=# ==Vvx;-=8q+>ό=a=/+S;;+3gAg $fsՠʳ:>6d= M< \{r4]b0==e=. f=Ƚ\+N#<<0S=+m\m x='=> P 粽6U=' >=a`3gW=zt?g=RH1ʯ.gнb;(N> {}q==l٨yGJ[$>¸=)= =gVsл Qս*<I==4L} TR#=`=𯗼(X^G'' ؽp=~=٠D>P {=q. W-==+=:?=.<=g=sp= <&%zN>{"=آ=y= _ =6p!ڀ l=ջ=ϰ=Xwo>>=R<=Wƛ=9 Y9np =2B!V;)n<{~Ἷ<b:1̼+)A7=R=8<$7=g<;Џd>'qx>3=aw@/; =|= X=y3>`*>>}@>74{˽,GY;Yʙo<ͩ8a 9-<&=O> >i=>l>.}<2N/kIJ=v>섇>K>=M3_%/>xM>c/;Bh;>p=<4]a='O׻>T>=>Wo֟&d5W2E:qe=J >-K-ޝ=x4UJ=s8>$>r>QM[s?H7=xB>><&<1<|A2E4=|d===tpN7ㄯev\[@Q߻=+.8~F=z)=Ȁr>>uo=뱻~="6m>K>,=L >q_1=P"N=f"<^3=d> >B@@L<%1j=p58[l=s@ZЖ#aF=To V|Ƚ&ҽw=B=|=C=mc!=" =cN=4Y>=_=FS=F==I\1=ڼ3M@>=0=R<${!r=PؽqFX0@==Ǻ];w׽=-TʽR;>d<`2R>+>a=MU<=I42l= C>=.(= 0==L)@<3w=Q4S#j< OVDݽ1qr=OϽN>|==E'd&ǽfo==L>(=#z<; =qT=V=v ,(]A)н[=g=k̜=LNNlkKi==<:O͆D$?YJ;+I='m=<+< <ݽw2DbSp=+>=􀛽}.l 0ez=?S`Oבv﬽Pؼ&:=4o<58>ɫ5=G3뼋4ܽ K>:qlB<ս:>|E:=Yi۽! Rq6ᅻ)Z2=\iH<*bm訽7k'=9 )> >to=Ak=c=/tC>>>Y>Fz>T<=T=DO<8=>->8(=['>|a=#p =A="=˦<};= >ؔT<Cf< h;C6F齓X #>н >o> >d>]>u=oܔ=J>;%>?z+ɽ=̿=!S3*;RO<=>>1u.^=\ <\%==w=7=ꆢ=]9z 0PH=<6(<5T=s"[F!1W=ˤ= ="ocs>px$ӈ<<7=q%:u==c)JX"n=ٙ]<_iV?dF2i=~zۼ^۠xp;B;Ͼg;{>_>;㼘Vw ֧F"ѽe> 4>Ə;4 uJ= >)=b<|7>5K>"=&=j=:jј<\= > *=#=~=5׼i 4Bx;=ȼ`>9[z-wԓ2E;nٻh|Y";"b-o)Tֵ=P==A9=Ye=:.E=Ƚڦ0=U=w)=^ŀ;Ngn#><=^?w>aƼ՗0q0=CBMh$O_;6fŗ`u Q;_7n=nʼ= >б>oԍWw<=8(=sN=J4=gX,%>$,8> ==d=2c=T=z=O<V=rM@>=<ֲo= lwB=KtuM==$67J=s\<=Ԗ=sb=˨=z24Ig==1w#=#=˵=@<㡿;Zr#=k;zD;w=S^<@*=(<^%p<Ͼ<\C;<><=o=J<ɅT(O^=}+zڼx~r\=3NM;<;A)<&B4:dL0b!HU<]=7=aC= >)G=nbgn|<q =2<8d<=P<2=y5 ==Px=~N<#;TT< =dkWL;=:M!];-;X =ż?-xq=*N >UʽjAI=i>!> q>e{=|h>ԛ:B=ߌ=9=E=Ǽ >d>ˍ]=S>{h>v>bb={1*>v>פ.F>f=Ӽ' c "R>I=*ͽsc/=,DH>%@}>_MFZ~TF>~;a==+>[+>ɚm=b=H̽xw>CW½[z4\:J =P=9=Ɠ=!=I.; pAvxHo8$= ]۽Q>>Di>If>,=VF<(ђ=RI9򟼡G'ٱ,=6u>ۇ>0=*>K=y=otu=Ea>~!>*101=տ=^=@L== >jk$>J-e.Jjuf<,ָ>>jڥ<4Q{=Z<χ=}Y=>LĻƏ=_><=[; e~>0%I[yɼ6>^M1#<|v===2#1)==Vj{L=e4>H >=ֽ:>i@=f==b=a)y==н⒣׹g=Ƚe_h%=>>==-B==C}=E &WvQ- =RT޼ >= 8= +>[Y=NNq0=|;?=t> 2=[}>/ =pC=|U=dpAթ=jj;Rݽ)< pBbK D>C=7=6ڽ/0>C=A>j߽=6Pͽ9'v2=)Q1N9 OWwN+o(н&U۽,8=y;B>qT^><N6=ZL>xRZ<;<={=s|shٽS {6]R,=_읽 h=\U>(<=u>lv=f2\>cj>=sG==xC=x==H(>KY&>(= "P>o~>g>%cZ޼o&G'l?z>`s=M:>Ɔ.>t>>7ݪ> l>C=!8p>:74=g=۽[S=~n=Y>*H'2W>=f}=-< EŽLMRH>Uj>鴾\s7F="9>8v@_"X>I=V>b>ҷ>|>Ll.>.`<\ּB!)A=RC۽"1@}> U$|o=;rgo[Ͻ5;s=co>f>ˤ>u> =CqG}<4M=2*>.sj>}= 7 > R>"=P=+>ۇ>4>mtN(eB>ݜ>r=ý{1'e MhR=spr@vOwMH=|>;>^>I,=s\>$@>-#U]j6>E >1q9 =5=ž>͉>]O6Vb=Dk<<=4> >h=(H>q:+>xA>-@[="Q(>b[=>~M7v<=ř=f.8L<v>{:Z)=/=J@l>Q>Ws=8bf<󉽮4{eB;r=Q o>C*A\WL<}GÚJC=,>Ɉ>kn=@4L7 =6>O=J=3=fg1>٘>"m=жZ=r2>l>Ϊ=X;*>l?i>1 =25>:~aS= pl%;v >ɎM»B=>SZ=>O=2K> |>u%I=A=^=S<80<{{s)=VN=8=*>=Gw=>-/!B.#*7Q+ٱ<>s1>r =VFPOS.==Vf<;l$Eɽ߀R=aq<s񗽩iLK:J=1FaW=5=a=,=x=67Ea(:=¢R>OxI=񂨽i >s=>:=fK#մ%[]C:<򟽍EC>=N~;,}(${~|G]7<==ΨymtǞ=N=V<#=<7U m;d\ݽJ V:=9cX=<%>W >dEd=>> =/3,=d< x>^3><,D=2s=n&>G>܀o>#K>j?>1=s%Z(H/T!.@?<`iE rl>>>$>T ?>>D}>tY>a),&v>8=zkbj%O>̾qEĽYN}?%Rw>u"A<ǻ=!>?P>|c>}1>&;S#G>-\_ .BJ /rY>6?C=->| >p{>w ?j>j=;=>V>>">"=R.>\8>]>я=<-L=-3=K? <>_>=.>C.>3<= #>n>r|>QN>~->c>d>,=<ř֭=<5y=Sk=jy=>>Dު>1>>>^>;=|} S穾i=\=＾<½gV>>TW>= #>>l>qd˲~<-wʾaPՁ=n=x)>=#Wuomr' \<=-; BٽqPy\5ͼeUм> Fbٽ8J=˧>=4f-;//j@]V^% >i1]=hB<(=! =(DeU=.V-=S”K==Bk퟾ =9V*(;ZT 噼7QMi=<=Ӳ=J = >{M;@ĽU^XXp"ܟ+><^=<>>.`=>(IW< =c(He<_M8==)$=+=1ԷL>]X!>6>d]ܽs<-$R=d>&.=K=FeR= <61(S=QG1>~=Ag mڽ$ B?Jͭ`>;>`o>ڒ=}쮽Sj(ձJd >3T=N+>A>;)WI=5b>nHG=X=ꔇDnP^)?Χk>ݐHQ=l\>ú=fOCC)=2>+ck<>[Υyzq8- _<3E `}'9#iWx^*6Z= n$F=K<1GF(+">~=^=2>=ps3p=+=g=&jO =Aʼ >=z>Ĕh><{;8->in=ȓ=G>:=]^==/=2=&?^}>K>A Y>>?G8L# `ʻ=>}@p>)>9ղ>M.?9 >6===\~ Uټ7H= ;5r1y>A8{\;!.>m=\>ҽWA~><=.=F>^fX>>>!">=h>T6뽁$ BȽͦH>29=k_y -@=6Z=`>нs=;=(2<Mf<=b=E*>$> >|G>>2u>[=-=j=>O=>=f>=)-T2'h#>K;U=DԼꔽ<޻8ԉӽC>U>6!-=>7?-^>\lZg,W A=M=ཫW>~>z2 zsI pYԽ"=O>W> ;Wi?5&=>h\x={IT=i8<o@ !½C]5>6<㨼늼 T;Ϟ˻#:=і)>/=4=>=HZ=Q0c &~&m>=뻽;OV>6!>ZE=g=~=Pō<6) ѡOx=bGҋ!>5N=l>1=Hs=[m>Zc >Ժ =>9)=t =Ց<3TFo>zX>ͼ=}*=$6XW>Ѯ=i=bLUr<Z [Im M==C>=^T>.<=e>k+>aü'JB=,>:@@>q >#> ==F9=|eg)Ѽb(>47sY==@==~>krU>?Q=_= <*AZ>F.U齕>4C>)===Gʽ(%/,P>[-=/d>J_/lV5=H6>@uｬ6˽V(>6ڼut>I0ջfI<̆=ʇPıν3[B<>z= =>D=*$h>IL,[/=2=:zEԄ=sK+a0uEսzmz[)<,;ͽ<;Gf Q=[$]>&0> `yu>4uWF %t;| =IB>TWp=x Z>:G^=[`><>dɄ>eV>g=D0<4=l>g~>c*};Y<+ؼuU<"s"n<˅>qư=>û=$;%@<.ٽ_(-, E]=w>>\>T>>&s>o>Xq>,>[Uq(d>0f>>;>-^<=woFҌE=;>~Q=p~r$>=fVѱ==$>8>\=Z=qǓ>+n=x :>1k>p]>b؁=;j2>3=X;#2><':>q> Zܠvν$B=YQ=%>B=R#>X9=r<*<<'%>=5%g>js0=s_=tϽ.$j >>=&=e=O )<˿k>,D>kH}>J;\.D=9=v=stz>#>=-?=%>'= DnG>,=b!YEùEp|&н]>QMg=8K>/>-@+>x( M-ۼ}A= >mo7=@<== 3K e>¾]>C<ׄ8;v>=MY<߇3>E5>a=J&{@W>w<;y3>|=j==Ngƽ= ƽ邽N>=>uvdN=p$S<=$=m^=r!^/>潘^==dv=CD>ۧc=@W]h=(J& %=oo<= =2g>vŬ=" S=F6 x-;E<;=ѝ=}=N>nC=-=Cǎ=/x>>uӑ=[_D=qtj=x=Wsye.-ݼ1LbY9EG=z/`Mє]=B5>GD=p^vN=۽J<=8[=mts["T='撪Ni9}==142 iD8J+޸=GC=0=Q>#==̽~Ms~=o<ќ<=$D9>dUގ7y!ź > =!8-Nׇ 2fmpR`1>S=1 >hy=&=kt>B=qr=Pe>̈>V<^=0I%=8J=}P@>-X=am=X$>eo)!Cw>P ?>Ts>=Q=)<2W> I&=<[}> Q>/sR<=y >ͼj;WnpCL\ s兽CN2cv13HOGDescriptorEN2cv8HOGCacheEN2cv10HOGInvokerEN2cv14HOGConfInvokerE- !AY)6  XAZ0 n AZ` A0[TaAl`` `aA`! A8a"!P#SXAaADG9XAcMNXAccXAxdi am. nEpne%XAe  XAgXAh$XAhXADj0A0k XAHk*/ Ak Akп XA(lpXAl@Apmk XAm`XAp;<0XApqQXAq  Ar !XATtPAu`!XA4v0IXXAy`XAyP XA(z`"A\z #v XAtz.XA{01XA|4A<|4 XAT|>XAh}@ A}AaA}pB`XCXA,~pEiXFXLXAX~ NXA~PcXA~pQXA~ ScXAT A40XbXA`І_zPLRx ,$h]AC GzRx $)AC $D6AC B4 ]AC P4nk^AC N4,`^AC K,d("TcAC I,X#`cAC L4$cAC K$@%AC C4$%SdAC P$ CAC $4FAC 4I9keAC M$OAC 4 OgeAC P4DeeAC P$,j AC I$Tn.AC $|nEAC 4oe%eAC P$@ AC 4T( gAC P4{hAC M4$hAC P4iAC P,4wjAC B4d _jAC M$LAC B$tH*AC B$P/AC E4XiAC K4L+jAC G$4ؽAC B$\AC B4h iAC P4 OjAC P,DjAC B4tk jAC P4@mAC P$(;AC B$@<AC B$XAC B4\`mAC M4QmAC P4 nAC N4 !oAC P,< 3qAC B4l !CqAC P,T IAC J4 8wtAC J4 ktAC J4D  _tAC M,| p[tAC B4 v CtAC P4 H(uAC M4 *guAC M,T 8-cuAC B4 - KuAC P4 7'vAC J4 h9vAC K,, :/vAC I, :`AC M4 ;vAC M,t 8=iAC J, x>AC J4$ CuAC M4\ PEuAC J4 FcuAC M4 0HuAC M4IcuAC M4<JsuAC G4tHNbguAC M$\|_AC BY-Y -{Y-]Y-3Y-Y-X-X=X=X=X-XX - X-X - X-W-%V-WU-OU=HU=:U=3U-+U!U -T-wT -lT-NT-$T-S-S-S=S=S=S-SS - S-S -R-R-R-R -kR-PR -@R-8R=1R=#R=R-R R -_Q-WQ -LQ-.Q-Q-P-P-P=P=P=P-PP -O-O -O-O-N-N-N=N=N=N-NN -N-N - N-M-M-M -zM-_M -OM-GM=@M=2M=+M-#MM -|L-J-J-wG-F-F -F-AF -F-lE-dE -YE-8E- E-D -D-D -D-D=D=D={D-sDiD -C-C-qC-MC-C-B-cB-[B-SB-GB-4B-+B- B-A-A-A-A-A-A-A-{A-[A-LA-8A-A-@-@ -@-@-?-?-?=?=v?=o?-g?]? ->->->->->->->-=-=-=-@=-4=-*=-<-<-v<-n<-f<-F<=?<-*<-;-;-P;-:-:-:-9- 9-v8-7--7- 7`-6`- 6-4-44=4-4-4-4-04- 43-3-3-3-3-2-2-P1 1-1-1-1-0-0-0-0-0-n0g0)0-/-/-//N/-.-.-.-z.-.-------^--,-,-,-,-[,-1,-),-!,-,=+-+-X+-@+-+-*-*-T*-)-)-)-X)-}(->(-'-&-7&-%-%`-E%`-$-:#=#-#-"-"-"-l"U"-M"-E"-="-!-!-G -pI-A -6--&-- ===- -Y-Q -F-(-G-3-+=$==- -m--q-+-#-------|-U-I--_-S-D-<-%-- -----t-6-)-- ---------x-i-\-M-@-1-)-!--=-----B----O-----}-o-L-@-+------m-=-#- ---- ----=-f-P-%-- - = - - - -x -_ X -S =L - - -  - - -  -c -W -F < - - - - - -  -y -t =X -G -) - - -  - - = - -f -Z -N -5  - - = - - -\ -3-%--'-------&-g-------vohaYRwog`--]-4- ----o---/-Y-i-----=M-E-=-5-&----q-J---1- --\=-5---!-------------v-n-f-\-N-.-"- ------X=Q-E--|-f_-Z=S----=-x-l-[Q-/-#-------r-T-O=3-"-----=---/x/?=------------}-]=V-M-A-3-------y-g-;-)-------i-U-A-!z-q-[T-O=H- --------}-q-[J-E=.=---------u-S=L-@-4-+---------a-O-- ----t-]-----|-w=KA*--=-----~-r-- --;-2--'-" -- j------j-b-Z-H-9-------- --W-O-*- -- --------- ----u-i-_-S -C-6-*- -- - -- ------- -t -]-U=N=G-< -2-&--= =- ---==- ----xq-3--==- ---==- ---j-]V---==- ----un-L-2-*=#=- ----z-e-E=>-,-$---<-----D-+--------h-@-'------i-`P-.-) =---p-L:-2-*-- ----^-0&---------\-.'-"]---'_-W-O-:j-.- -----c-c-d-Oj-C- --y-'f--%$-#-ǿ----׾;------i-`-I-;-'- -½Z-ۼѼǼ-aZ-UQN -IB\:0& ߻ԻɻpjYHA:3,%- QQ--غ-ɺ-----׹-Ϲ--`-<)----ڸ-Ҹ---/-"---޷-ɷ-----µ->)--в --z -[-q---ұ˱-@-4---ڰ-°-----N-6-*------- -----ج-Ы--ĩ=---x-f-N-6-*---- -ާק-u--W--g- -R--g---H-0-- --ף--R-7-b-PC-,--Ҡ--K-j-A-5'=ў-ɞ-----w-- ѝ-ɝ--j---w-k-N-D--ۜ-Қc-Rc-ߘ-ט-Ҙ˘---j--\ ->-Õy-Uf-1-%j-ѓ-ɓ----I-%j--------z--ԑ-ȑ----u-i-X-L-@-4-----Đ---/---=ُ-ď-g-Cj--c-x-Gy-όf--~-݋-ʋ-----'----ڊ-o-K-(----!-- --Ո-Ɉ---o-?-%- --ׇ----j^ۆ-φ-Æ----ta-\=5-v----i----~-p--V----i~-]~-O~-~-Q}-{{{{{zzzzz9z2z+z$zzzly-x-sx-Mx-$x-w-w-w-w-_w-v-v-mv-Dv-v-u-u-u-u-tt-t-%s-:r-q-q-q-p-pp- p-o-o-io-n-nn=lkk|k-wk pk\kLk-?k 4k  kji-i-i-i-i-i-=i-i-f -f-e-ne-Ne-d-d-dd9d-c-c-c-(c-b-b-b-jb=cb-a-[2[*["[-ZZZZ-PZHZ-Z Z-YYY-YY-X-X-X-WBWVtVlVdV\V/VU\UTULUDU:UUT TTSSSS^SRRRRRRTR'R-Q-tQCQ-|P-IP-P-O-!N=Mf-M-M-M-M-M-M-M-M-M-M-L-zL-VL-K-K-MK- Kb-GDAA-xA-pA-hA-SA-@-@-@-@-@-j@-;@-@-?-z?-?->-a>-:>-=-~=-S=-D=-r<-e<-V<-?<-7<-/<-'<-<-<-<-;=;-;-_;-&;-:-:-a:-::-9-9-!9-8-8-7-7-77s7-7655E5-7.-C-,Z,a-/,a-,a-+a-+-E+-*-*-6*'** *)))))))))s)d)U)F)7)()) )(((((((((t(e(V(G(8()(( ('''''''''u'f'W'H'9'*'' '&&&&&&&&&9&1&)&!&&%-%-$-$- $-$-###-##-#-##= #-"-"-"-"-"-"-w"-n"-b"-H"-?"-("-!-!-!-!-!-!-!-t!- !- - - - - - -P -H -< -2 -& - - - --------y;--------------~-t-h-`-S-G-?-2-&----------------y-l-`-X-K-?-7-*--- -------------~-q-e-]-P-D-<-/-#-------------o-f-R-I-&-- ---h-5------\-7-!-----j-E-1-(----o-J-5-,----s-N-;-2----u-P-<-3- --u-]-8-%-- ---c->-+-"----z-_-S-G-/---------p-d-X-=-%-------{-a-U-B;-y-----vP-B-0- -------r-`Y-I-70-!-- -  - - - -h -O -C < -4 - - - - -  - -e -] - - -  - - - - -k -\ L -$ - - - - - - - - - - - - - = - --y--;-/--y--R-.-!--L-==y------z-n-----z-q-^WP-C<-[ -MF=?-7n0l)o"kp mztwv~}{Y|xZpVh[`\X@80P ONMLKxpJ`XPIH@b8h0i(Hxph`^X_P@80 rSTG    xp`XP@ xp`XP@80 xp`XP@ xp`@ xp`@ xp`XP@80 `@ `XP@ xp`@ M14YF/Z-Z%-0[*l`=(`'8a ' Г5a2c-c-xd` P X/ Z  S @5ei4 @p2g0 `1hu( `3/h.* p-Dj,0k2  *Hk4k]2k Е - ]-(lP+ ,l)pm*(m&p /pqJ-q,r )Tt(u&4v3yJ2y1(z-\z7-tz,{b(|(<|&T|V4h}3}72}-,~O(X~'~&~C4~3$240`Іq'@ 0h  5p S1x )) &3 t. + * [ P`"0"S п` #0 7014k@L .7 0NcOMuDGAP?m# @`v# # P#C=* p!e""3&pnTN#4mui  n @i%A~>-`0 T% N< F pEP S pQT0XpB L C5!     :# ! `    &# ! h    #  P 5 0!6 ( O" ~%X  r $B dI%_" !IHl  $: &1   #\  2;"6$9!<m*$uGV yER !sv!L!]S 0 =\ :%_4` o! QK-( __ZN2cv6formatEPKcz_memcpy__ZZN2cv8RTTIImplINS_13HOGDescriptorEE10isInstanceEPKvE5dummy__ZGVZN2cv8RTTIImplINS_13HOGDescriptorEE10isInstanceEPKvE5dummy___cxa_throw__ZSt9terminatev__ZdlPv__ZdaPv__ZN2cv8RTTIImplINS_13HOGDescriptorEE7releaseEPPv__ZN2cv8fastFreeEPv__ZN2cv8RTTIImplINS_13HOGDescriptorEE5cloneEPKv__ZN2cv8RTTIImplINS_13HOGDescriptorEE10isInstanceEPKv__ZNK2cv3ocl6Kernel5emptyEv__ZN2cv5utils5trace7details6Region7destroyEv__ZN2cv3ocl6Device10getDefaultEv__ZN2cv13HOGDescriptor24getDefaultPeopleDetectorEv__ZN2cv13HOGDescriptor24getDaimlerPeopleDetectorEv__ZNKSt3__120__vector_base_commonILb1EE20__throw_length_errorEv__ZN2cv16FileNodeIteratorppEv__ZN2cv5Mutex6unlockEv__ZN2cv5Mutex4lockEv__ZNK2cv8FileNode4sizeEv__ZNK2cv13HOGDescriptor17getDescriptorSizeEv__ZNK2cv13HOGDescriptor17checkDetectorSizeEv__ZN2cv3Mat10deallocateEv__ZN2cv6String10deallocateEv__ZNK2cv8FileNode4typeEv__ZNK2cv3ocl6Device4typeEv__ZNK2cv3ocl6Kernel29preferedWorkGroupSizeMultipleEv__ZNK2cv11_InputArray4kindEv__ZN2cv3ocl17isOpenCLActivatedEv__ZNK2cv13HOGDescriptor11getWinSigmaEv__ZNK2cv3ocl8internal12ProgramEntrycvRNS0_13ProgramSourceEEv__ZNK2cv3ocl6Device8vendorIDEv__ZN2cv16ParallelLoopBodyD2Ev__ZN2cv8HOGCacheD2Ev__ZN2cv8HOGCacheC2Ev__ZN2cv5MutexD1Ev__ZN2cv8internal18WriteStructContextD1Ev__ZN2cv4UMatD1Ev__ZN2cv13HOGDescriptorD1Ev__ZNSt12length_errorD1Ev__ZN2cv14HOGConfInvokerD1Ev__ZN2cv10HOGInvokerD1Ev__ZN2cv9ExceptionD1Ev__ZN2cv3ocl6KernelD1Ev__ZN2cv3ocl5QueueD1Ev__ZN6CvTypeD1Ev__ZN2cv8HOGCacheD1Ev__ZN2cv11FileStorageD1Ev__ZN2cv5MutexC1Ev__ZN2cv9ExceptionC1Ev__ZN2cv3ocl6KernelC1Ev__ZN2cv3ocl5QueueC1Ev__ZN2cv8HOGCacheC1Ev__ZN2cv13HOGDescriptorD0Ev__ZN2cv14HOGConfInvokerD0Ev__ZN2cv10HOGInvokerD0Ev__ZN2cv8HOGCacheD0Ev__ZN2cv8RTTIImplINS_13HOGDescriptorEE5writeEP13CvFileStoragePKcPKv10CvAttrList___cxa_atexit_memsetl__ZZN2cvL26ocl_extract_descrs_by_colsEiiiiiiiiNS_4UMatES0_iiiiE12localThreadsl__ZZN2cvL19ocl_normalize_histsEiiiiiNS_4UMatEfE12localThreads__ZZN2cv13HOGDescriptor24getDefaultPeopleDetectorEvE8detector__ZZN2cv13HOGDescriptor24getDaimlerPeopleDetectorEvE8detector__ZTVSt12length_error__ZTISt12length_error__ZZN2cv8RTTIImplINS_13HOGDescriptorEE10isInstanceEPKvE6dummyp__GLOBAL__sub_I_hog.cpp_strcmp___bzero___cxa_allocate_exception___cxa_free_exception_fopen_strlen__Znwm__ZN2cv3MatC2EiiiPvm__ZN2cv3MatC2ENS_5Size_IiEEiPvm__ZN2cv3ocl9KernelArgC1EiPNS_4UMatEiiPKvm__ZN2cv3ocl6Kernel3setEiPKvm__ZN2cv16FileNodeIterator7readRawERKNS_6StringEPhm__ZN2cv11FileStorage8writeRawERKNS_6StringEPKhm__ZN2cv16FileNodeIteratorC1EPK13CvFileStoragePK10CvFileNodem__Znam__ZN2cvL17ocl_compute_histsEiiiiiNS_4UMatES0_S0_S0_m__ZN2cv6String8allocateEm__ZNSt3__16vectorIiNS_9allocatorIiEEE8__appendEm__ZNSt3__16vectorIfNS_9allocatorIfEEE8__appendEm__ZNSt3__16vectorIdNS_9allocatorIdEEE8__appendEm__ZNSt3__16vectorIN2cv8HOGCache7PixDataENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv8HOGCache9BlockDataENS_9allocatorIS3_EEE8__appendEm__ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE8__appendEm__ZNK2cv8internal14VecReaderProxyIfLi1EEclERNSt3__16vectorIfNS3_9allocatorIfEEEEm___stack_chk_fail__ZN2cv17borderInterpolateEiii__ZN2cv4readERKNS_8FileNodeERii__ZN2cv3Mat6createEiPKii__ZNK2cv4UMat7reshapeEii__ZN2cv6resizeERKNS_11_InputArrayERKNS_12_OutputArrayENS_5Size_IiEEddi__ZNK2cv13HOGDescriptor19detectMultiScaleROIERKNS_3MatERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_INS_12DetectionROIENS8_ISC_EEEEdi__ZN2cv5errorEiRKNS_6StringEPKcS4_i__ZNK2cv8HOGCache9getWindowERKNS_5Size_IiEES4_i__ZN2cv9ExceptionC1EiRKNS_6StringES3_S3_i__ZNK2cv11FileStorage4rootEi__ZNK2cv4UMat6getMatEi__ZNK2cv11_InputArray7getUMatEi__ZNK2cv11_InputArray4dimsEi__ZN2cv5writeERNS_11FileStorageERKNS_6StringEi__ZNK2cv11_InputArray4sizeEi__ZNK2cv11_InputArray4typeEi__ZN2cv11writeScalarERNS_11FileStorageEi__ZNK2cv11_InputArray7getMat_Ei___cxa_begin_catch_expf__ZNK2cv8HOGCache23normalizeBlockHistogramEPf__ZN2cv8HOGCache8getBlockENS_6Point_IiEEPf__ZN2cvL19ocl_normalize_histsEiiiiiNS_4UMatEf_memmove___clang_call_terminate_fclose___cxa_guard_release___cxa_guard_acquire__Unwind_Resume___dso_handle__ZN2cv8RTTIImplINS_13HOGDescriptorEE4readEP13CvFileStorageP10CvFileNode___stack_chk_guard__ZZNK2cv8HOGCache23normalizeBlockHistogramEPfE10_threshold__ZGVZNK2cv8HOGCache23normalizeBlockHistogramEPfE10_threshold__ZNK2cv13HOGDescriptor15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS1_9allocatorIS4_EEEERNS2_IdNS5_IdEEEEid__ZN2cv15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEEid__ZNK2cv3Mat9convertToERKNS_12_OutputArrayEidd__ZN2cv4readERKNS_8FileNodeERdd_fread__ZN2cv13parallel_for_ERKNS_5RangeERKNS_16ParallelLoopBodyEd__ZN2cv5writeERNS_11FileStorageERKNS_6StringEd__ZNK2cv8FileNodeixEPKc__ZNSt11logic_errorC2EPKc__ZN2cvL10ocl_detectERKNS_11_InputArrayERNSt3__16vectorINS_6Point_IiEENS3_9allocatorIS6_EEEEdNS_5Size_IiEERKNS_4UMatESC_SC_iSC_SC_bdffb__ZN2cv11FileStorageC1EP13CvFileStorageb__ZNK2cv13HOGDescriptor16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESG_ddb__ZNK2cv13HOGDescriptor16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdNS_5Size_IiEESD_ddb__ZN2cvL19ocl_computeGradientERKNS_11_InputArrayENS_4UMatES3_iNS_5Size_IiEEbb__ZN2cv11cartToPolarERKNS_11_InputArrayES2_RKNS_12_OutputArrayES5_b__ZNSt3__16vectorIfNS_9allocatorIfEEE21__push_back_slow_pathIfEEvOT___ZNSt3__16vectorIdNS_9allocatorIdEEE21__push_back_slow_pathIRKdEEvOT___ZNSt3__16vectorIdNS_9allocatorIdEEE21__push_back_slow_pathIdEEvOT___ZNSt3__16vectorIN2cv6Point_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIRKS3_EEvOT___ZNSt3__16vectorIN2cv6Point_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIS3_EEvOT___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE21__push_back_slow_pathIS3_EEvOT___ZN2cvlsINS_5Size_IiEEEERNS_11FileStorageES4_RKT___ZN2cv10HOGInvokerC2EPKNS_13HOGDescriptorERKNS_3MatEdRKNS_5Size_IiEESA_PKdPNSt3__16vectorINS_5Rect_IiEENSD_9allocatorISG_EEEEPNS_5MutexEPNSE_IdNSH_IdEEEESP___ZNK2cv13HOGDescriptor9detectROIERKNS_3MatERKNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEERSA_RNS5_IdNS8_IdEEEEdNS_5Size_IiEESI___ZNSt3__16vectorIN2cv5Rect_IiEENS_9allocatorIS3_EEE6assignINS_11__wrap_iterIPS3_EEEENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIS3_NS_15iterator_traitsISC_E9referenceEEE5valueEvE4typeESC_SC___ZN2cv8HOGCache4initEPKNS_13HOGDescriptorERKNS_3MatERKNS_5Size_IiEESA_bSA___ZN2cv8HOGCacheC2EPKNS_13HOGDescriptorERKNS_3MatERKNS_5Size_IiEESA_bSA___ZN2cv8HOGCacheC1EPKNS_13HOGDescriptorERKNS_3MatERKNS_5Size_IiEESA_bSA___ZNK2cv13HOGDescriptor6detectERKNS_3MatERNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESG_RKSA___ZNK2cv13HOGDescriptor6detectERKNS_3MatERNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEEdNS_5Size_IiEESD_RKSA___ZNSt3__16vectorIfNS_9allocatorIfEEE6assignIPfEENS_9enable_ifIXaasr21__is_forward_iteratorIT_EE5valuesr16is_constructibleIfNS_15iterator_traitsIS7_E9referenceEEE5valueEvE4typeES7_S7___ZN2cv3ocl6Kernel6createEPKcRKNS0_13ProgramSourceERKNS_6StringEPS7___ZN2cv3ocl6KernelC1EPKcRKNS0_13ProgramSourceERKNS_6StringEPS7___ZN2cv8internal18WriteStructContextC1ERNS_11FileStorageERKNS_6StringEiS6___ZNK2cv13HOGDescriptor15computeGradientERKNS_3MatERS1_S4_NS_5Size_IiEES6___ZN2cv3MatC2ERKS0_RKNS_5RangeES5___ZNK2cv8HOGCache14windowsInImageERKNS_5Size_IiEES4___ZN2cv11FileStorageC1ERKNS_6StringEiS3___ZNK2cv13HOGDescriptor4saveERKNS_6StringES3___ZN2cv13HOGDescriptor4loadERKNS_6StringES3___ZN2cv9partitionINS_5Rect_IiEENS_12SimilarRectsEEEiRKNSt3__16vectorIT_NS4_9allocatorIS6_EEEERNS5_IiNS7_IiEEEET0___ZNK2cv13HOGDescriptor6copyToERS0___ZN2cv4UMat8copySizeERKS0___ZN2cv3Mat8copySizeERKS0___ZTIN2cv16ParallelLoopBodyE__ZNK2cv3Mat6copyToERKNS_12_OutputArrayE__ZN2cv13HOGDescriptor14setSVMDetectorERKNS_11_InputArrayE__ZN2cv14HOGConfInvokerC2EPKNS_13HOGDescriptorERKNS_3MatEdRKNS_5Size_IiEEPNSt3__16vectorINS_12DetectionROIENSB_9allocatorISD_EEEEPNSC_INS_5Rect_IiEENSE_ISJ_EEEEPNS_5MutexE__ZN2cv4UMat6createEiPKiiNS_14UMatUsageFlagsE__ZTVN2cv13HOGDescriptorE__ZTSN2cv13HOGDescriptorE__ZTIN2cv13HOGDescriptorE__ZTVN2cv14HOGConfInvokerE__ZTSN2cv14HOGConfInvokerE__ZTIN2cv14HOGConfInvokerE__ZTVN2cv10HOGInvokerE__ZTSN2cv10HOGInvokerE__ZTIN2cv10HOGInvokerE__ZTVN10__cxxabiv120__si_class_type_infoE__ZTVN10__cxxabiv117__class_type_infoE__ZTIN2cv9ExceptionE__ZN2cv3ocl6Kernel3setEiRKNS0_9KernelArgE__ZNK2cv11FileStorageixERKNS_6StringE__ZN2cv11FileStorage20getDefaultObjectNameERKNS_6StringE__ZN2cvlsERNS_11FileStorageERKNS_6StringE__ZNK2cv13HOGDescriptor5writeERNS_11FileStorageERKNS_6StringE__ZN2cv13HOGDescriptor12readALTModelENS_6StringE__ZN2cv3ocl6Kernel3runEiPmS2_bRKNS0_5QueueE__ZN2cv8hog_typeE__ZTVN2cv8HOGCacheE__ZTSN2cv8HOGCacheE__ZTIN2cv8HOGCacheE__ZNK2cv14HOGConfInvokerclERKNS_5RangeE__ZNK2cv10HOGInvokerclERKNS_5RangeE__ZN2cv5utils5trace7details6RegionC1ERKNS3_21LocationStaticStorageE__ZN2cv13HOGDescriptor4readERNS_8FileNodeE__ZN2cv3ocl9objdetect20objdetect_hog_oclsrcE__ZN6CvTypeC1EPKcPFiPKvEPFvPPvEPFS6_P13CvFileStorageP10CvFileNodeEPFvSB_S1_S3_10CvAttrListEPFS6_S3_E__ZNK2cv3Mat9locateROIERNS_5Size_IiEERNS_6Point_IiEE__ZN2cv25groupRectangles_meanshiftERNSt3__16vectorINS_5Rect_IiEENS0_9allocatorIS3_EEEERNS1_IdNS4_IdEEEESA_dNS_5Size_IiEE__ZN2cv3MataSERKNS_7Scalar_IdEE__ZNK2cv8internal14VecWriterProxyIfLi1EEclERKNSt3__16vectorIfNS3_9allocatorIfEEEE__ZN2cv11clipObjectsENS_5Size_IiEERNSt3__16vectorINS_5Rect_IiEENS2_9allocatorIS5_EEEEPNS3_IiNS6_IiEEEEPNS3_IdNS6_IdEEEE__ZNK2cv13HOGDescriptor7computeERKNS_11_InputArrayERNSt3__16vectorIfNS4_9allocatorIfEEEENS_5Size_IiEESB_RKNS5_INS_6Point_IiEENS6_ISD_EEEEGCC_except_table69GCC_except_table59GCC_except_table49GCC_except_table39__ZZNK2cv13HOGDescriptor15computeGradientERKNS_3MatERS1_S4_NS_5Size_IiEES6_E25__cv_trace_location_fn239__ZZNK2cv13HOGDescriptor15computeGradientERKNS_3MatERS1_S4_NS_5Size_IiEES6_E31__cv_trace_location_extra_fn239GCC_except_table8GCC_except_table68GCC_except_table58GCC_except_table48GCC_except_table38GCC_except_table7GCC_except_table67GCC_except_table57__ZZNK2cv13HOGDescriptor16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESG_ddbE26__cv_trace_location_fn2057__ZZNK2cv13HOGDescriptor16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESG_ddbE32__cv_trace_location_extra_fn2057GCC_except_table47GCC_except_table37GCC_except_table27GCC_except_table6__ZZNK2cv13HOGDescriptor15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS1_9allocatorIS4_EEEERNS2_IdNS5_IdEEEEidE26__cv_trace_location_fn3786__ZZNK2cv13HOGDescriptor15groupRectanglesERNSt3__16vectorINS_5Rect_IiEENS1_9allocatorIS4_EEEERNS2_IdNS5_IdEEEEidE32__cv_trace_location_extra_fn3786__ZZNK2cv13HOGDescriptor19detectMultiScaleROIERKNS_3MatERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_INS_12DetectionROIENS8_ISC_EEEEdiE26__cv_trace_location_fn3666__ZZNK2cv13HOGDescriptor19detectMultiScaleROIERKNS_3MatERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEERNS5_INS_12DetectionROIENS8_ISC_EEEEdiE32__cv_trace_location_extra_fn3666GCC_except_table56GCC_except_table46GCC_except_table36GCC_except_table26_memset_pattern16GCC_except_table16GCC_except_table5GCC_except_table55GCC_except_table45GCC_except_table35GCC_except_table25GCC_except_table15GCC_except_table4GCC_except_table64GCC_except_table54__ZZNK2cv13HOGDescriptor9detectROIERKNS_3MatERKNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEERSA_RNS5_IdNS8_IdEEEEdNS_5Size_IiEESI_E26__cv_trace_location_fn3554__ZZNK2cv13HOGDescriptor9detectROIERKNS_3MatERKNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEERSA_RNS5_IdNS8_IdEEEEdNS_5Size_IiEESI_E32__cv_trace_location_extra_fn3554GCC_except_table44GCC_except_table24GCC_except_table3__ZZNK2cv13HOGDescriptor7computeERKNS_11_InputArrayERNSt3__16vectorIfNS4_9allocatorIfEEEENS_5Size_IiEESB_RKNS5_INS_6Point_IiEENS6_ISD_EEEEE26__cv_trace_location_fn1593__ZZNK2cv13HOGDescriptor7computeERKNS_11_InputArrayERNSt3__16vectorIfNS4_9allocatorIfEEEENS_5Size_IiEESB_RKNS5_INS_6Point_IiEENS6_ISD_EEEEE32__cv_trace_location_extra_fn1593GCC_except_table73__ZZNK2cv13HOGDescriptor6detectERKNS_3MatERNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEEdNS_5Size_IiEESD_RKSA_E26__cv_trace_location_fn1773__ZZNK2cv13HOGDescriptor6detectERKNS_3MatERNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEEdNS_5Size_IiEESD_RKSA_E32__cv_trace_location_extra_fn1773GCC_except_table53GCC_except_table23GCC_except_table13GCC_except_table72GCC_except_table62GCC_except_table52GCC_except_table32GCC_except_table22__ZZNK2cv13HOGDescriptor16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdNS_5Size_IiEESD_ddbE26__cv_trace_location_fn2112__ZZNK2cv13HOGDescriptor16detectMultiScaleERKNS_11_InputArrayERNSt3__16vectorINS_5Rect_IiEENS4_9allocatorIS7_EEEEdNS_5Size_IiEESD_ddbE32__cv_trace_location_extra_fn2112GCC_except_table71GCC_except_table61GCC_except_table51GCC_except_table31___gxx_personality_v0GCC_except_table0GCC_except_table70GCC_except_table60__ZZNK2cv13HOGDescriptor6detectERKNS_3MatERNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESG_RKSA_E26__cv_trace_location_fn1660__ZZNK2cv13HOGDescriptor6detectERKNS_3MatERNSt3__16vectorINS_6Point_IiEENS4_9allocatorIS7_EEEERNS5_IdNS8_IdEEEEdNS_5Size_IiEESG_RKSA_E32__cv_trace_location_extra_fn1660GCC_except_table20GCC_except_table10__ZZNK2cv14HOGConfInvokerclERKNS_5RangeEE26__cv_trace_location_fn3510__ZZNK2cv14HOGConfInvokerclERKNS_5RangeEE32__cv_trace_location_extra_fn3510#1/20 1548786656 501 20 100644 220 ` main.cpp.o __text__TEXT$ #1/36 1548786657 501 20 100644 37124 ` opencl_kernels_objdetect.cpp.o 8PP__text__TEXT__cstring__TEXT__data__DATAPЏ $ `\ Pobjdetectcascadedetect#ifdef HAAR typedef struct __attribute__((aligned(4))) OptHaarFeature { int4 ofs[3] __attribute__((aligned (4))); float4 weight __attribute__((aligned (4))); } OptHaarFeature; #endif #ifdef LBP typedef struct __attribute__((aligned(4))) OptLBPFeature { int16 ofs __attribute__((aligned (4))); } OptLBPFeature; #endif typedef struct __attribute__((aligned(4))) Stump { float4 st __attribute__((aligned (4))); } Stump; typedef struct __attribute__((aligned(4))) Node { int4 n __attribute__((aligned (4))); } Node; typedef struct __attribute__((aligned (4))) Stage { int first __attribute__((aligned (4))); int ntrees __attribute__((aligned (4))); float threshold __attribute__((aligned (4))); } Stage; typedef struct __attribute__((aligned (4))) ScaleData { float scale __attribute__((aligned (4))); int szi_width __attribute__((aligned (4))); int szi_height __attribute__((aligned (4))); int layer_ofs __attribute__((aligned (4))); int ystep __attribute__((aligned (4))); } ScaleData; #ifndef SUM_BUF_SIZE #define SUM_BUF_SIZE 0 #endif #ifndef NODE_COUNT #define NODE_COUNT 1 #endif #ifdef HAAR __kernel __attribute__((reqd_work_group_size(LOCAL_SIZE_X,LOCAL_SIZE_Y,1))) void runHaarClassifier( int nscales, __global const ScaleData* scaleData, __global const int* sum, int _sumstep, int sumoffset, __global const OptHaarFeature* optfeatures, __global const Stage* stages, __global const Node* nodes, __global const float* leaves0, volatile __global int* facepos, int4 normrect, int sqofs, int2 windowsize) { int lx = get_local_id(0); int ly = get_local_id(1); int groupIdx = get_group_id(0); int i, ngroups = get_global_size(0)/LOCAL_SIZE_X; int scaleIdx, tileIdx, stageIdx; int sumstep = (int)(_sumstep/sizeof(int)); int4 nofs0 = (int4)(mad24(normrect.y, sumstep, normrect.x), mad24(normrect.y, sumstep, normrect.x + normrect.z), mad24(normrect.y + normrect.w, sumstep, normrect.x), mad24(normrect.y + normrect.w, sumstep, normrect.x + normrect.z)); int normarea = normrect.z * normrect.w; float invarea = 1.f/normarea; int lidx = ly*LOCAL_SIZE_X + lx; #if SUM_BUF_SIZE > 0 int4 nofs = (int4)(mad24(normrect.y, SUM_BUF_STEP, normrect.x), mad24(normrect.y, SUM_BUF_STEP, normrect.x + normrect.z), mad24(normrect.y + normrect.w, SUM_BUF_STEP, normrect.x), mad24(normrect.y + normrect.w, SUM_BUF_STEP, normrect.x + normrect.z)); #else int4 nofs = nofs0; #endif #define LOCAL_SIZE (LOCAL_SIZE_X*LOCAL_SIZE_Y) __local int lstore[SUM_BUF_SIZE + LOCAL_SIZE*5/2+1]; #if SUM_BUF_SIZE > 0 __local int* ibuf = lstore; __local int* lcount = ibuf + SUM_BUF_SIZE; #else __local int* lcount = lstore; #endif __local float* lnf = (__local float*)(lcount + 1); __local float* lpartsum = lnf + LOCAL_SIZE; __local short* lbuf = (__local short*)(lpartsum + LOCAL_SIZE); for( scaleIdx = nscales-1; scaleIdx >= 0; scaleIdx-- ) { __global const ScaleData* s = scaleData + scaleIdx; int ystep = s->ystep; int2 worksize = (int2)(max(s->szi_width - windowsize.x, 0), max(s->szi_height - windowsize.y, 0)); int2 ntiles = (int2)((worksize.x + LOCAL_SIZE_X-1)/LOCAL_SIZE_X, (worksize.y + LOCAL_SIZE_Y-1)/LOCAL_SIZE_Y); int totalTiles = ntiles.x*ntiles.y; for( tileIdx = groupIdx; tileIdx < totalTiles; tileIdx += ngroups ) { int ix0 = (tileIdx % ntiles.x)*LOCAL_SIZE_X; int iy0 = (tileIdx / ntiles.x)*LOCAL_SIZE_Y; int ix = lx, iy = ly; __global const int* psum0 = sum + mad24(iy0, sumstep, ix0) + s->layer_ofs; __global const int* psum1 = psum0 + mad24(iy, sumstep, ix); if( ix0 >= worksize.x || iy0 >= worksize.y ) continue; #if SUM_BUF_SIZE > 0 for( i = lidx*4; i < SUM_BUF_SIZE; i += LOCAL_SIZE_X*LOCAL_SIZE_Y*4 ) { int dy = i/SUM_BUF_STEP, dx = i - dy*SUM_BUF_STEP; vstore4(vload4(0, psum0 + mad24(dy, sumstep, dx)), 0, ibuf+i); } #endif if( lidx == 0 ) lcount[0] = 0; barrier(CLK_LOCAL_MEM_FENCE); if( ix0 + ix < worksize.x && iy0 + iy < worksize.y ) { #if NODE_COUNT==1 __global const Stump* stump = (__global const Stump*)nodes; #else __global const Node* node = nodes; __global const float* leaves = leaves0; #endif #if SUM_BUF_SIZE > 0 __local const int* psum = ibuf + mad24(iy, SUM_BUF_STEP, ix); #else __global const int* psum = psum1; #endif __global const int* psqsum = (__global const int*)(psum1 + sqofs); float sval = (psum[nofs.x] - psum[nofs.y] - psum[nofs.z] + psum[nofs.w])*invarea; float sqval = (psqsum[nofs0.x] - psqsum[nofs0.y] - psqsum[nofs0.z] + psqsum[nofs0.w])*invarea; float nf = (float)normarea * sqrt(max(sqval - sval * sval, 0.f)); nf = nf > 0 ? nf : 1.f; for( stageIdx = 0; stageIdx < SPLIT_STAGE; stageIdx++ ) { int ntrees = stages[stageIdx].ntrees; float s = 0.f; #if NODE_COUNT==1 for( i = 0; i < ntrees; i++ ) { float4 st = stump[i].st; __global const OptHaarFeature* f = optfeatures + as_int(st.x); float4 weight = f->weight; int4 ofs = f->ofs[0]; sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x; ofs = f->ofs[1]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval); if( weight.z > 0 ) { ofs = f->ofs[2]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval); } s += (sval < st.y*nf) ? st.z : st.w; } stump += ntrees; #else for( i = 0; i < ntrees; i++, node += NODE_COUNT, leaves += NODE_COUNT+1 ) { int idx = 0; do { int4 n = node[idx].n; __global const OptHaarFeature* f = optfeatures + n.x; float4 weight = f->weight; int4 ofs = f->ofs[0]; sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x; ofs = f->ofs[1]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval); if( weight.z > 0 ) { ofs = f->ofs[2]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval); } idx = (sval < as_float(n.y)*nf) ? n.z : n.w; } while(idx > 0); s += leaves[-idx]; } #endif if( s < stages[stageIdx].threshold ) break; } if( stageIdx == SPLIT_STAGE && (ystep == 1 || ((ix | iy) & 1) == 0) ) { int count = atomic_inc(lcount); lbuf[count] = (int)(ix | (iy << 8)); lnf[count] = nf; } } for( stageIdx = SPLIT_STAGE; stageIdx < N_STAGES; stageIdx++ ) { barrier(CLK_LOCAL_MEM_FENCE); int nrects = lcount[0]; if( nrects == 0 ) break; barrier(CLK_LOCAL_MEM_FENCE); if( lidx == 0 ) lcount[0] = 0; { #if NODE_COUNT == 1 __global const Stump* stump = (__global const Stump*)nodes + stages[stageIdx].first; #else __global const Node* node = nodes + stages[stageIdx].first*NODE_COUNT; __global const float* leaves = leaves0 + stages[stageIdx].first*(NODE_COUNT+1); #endif int nparts = LOCAL_SIZE / nrects; int ntrees = stages[stageIdx].ntrees; int ntrees_p = (ntrees + nparts - 1)/nparts; int nr = lidx / nparts; int partidx = -1, idxval = 0; float partsum = 0.f, nf = 0.f; if( nr < nrects ) { partidx = lidx % nparts; idxval = lbuf[nr]; nf = lnf[nr]; { int ntrees0 = ntrees_p*partidx; int ntrees1 = min(ntrees0 + ntrees_p, ntrees); int ix1 = idxval & 255, iy1 = idxval >> 8; #if SUM_BUF_SIZE > 0 __local const int* psum = ibuf + mad24(iy1, SUM_BUF_STEP, ix1); #else __global const int* psum = psum0 + mad24(iy1, sumstep, ix1); #endif #if NODE_COUNT == 1 for( i = ntrees0; i < ntrees1; i++ ) { float4 st = stump[i].st; __global const OptHaarFeature* f = optfeatures + as_int(st.x); float4 weight = f->weight; int4 ofs = f->ofs[0]; float sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x; ofs = f->ofs[1]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval); if( fabs(weight.z) > 0 ) { ofs = f->ofs[2]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval); } partsum += (sval < st.y*nf) ? st.z : st.w; } #else for( i = ntrees0; i < ntrees1; i++ ) { int idx = 0; do { int4 n = node[i*2 + idx].n; __global const OptHaarFeature* f = optfeatures + n.x; float4 weight = f->weight; int4 ofs = f->ofs[0]; float sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x; ofs = f->ofs[1]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval); if( weight.z > 0 ) { ofs = f->ofs[2]; sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval); } idx = (sval < as_float(n.y)*nf) ? n.z : n.w; } while(idx > 0); partsum += leaves[i*3-idx]; } #endif } } lpartsum[lidx] = partsum; barrier(CLK_LOCAL_MEM_FENCE); if( partidx == 0 ) { float s = lpartsum[nr*nparts]; for( i = 1; i < nparts; i++ ) s += lpartsum[i + nr*nparts]; if( s >= stages[stageIdx].threshold ) { int count = atomic_inc(lcount); lbuf[count] = idxval; lnf[count] = nf; } } } } barrier(CLK_LOCAL_MEM_FENCE); if( stageIdx == N_STAGES ) { int nrects = lcount[0]; if( lidx < nrects ) { int nfaces = atomic_inc(facepos); if( nfaces < MAX_FACES ) { volatile __global int* face = facepos + 1 + nfaces*3; int val = lbuf[lidx]; face[0] = scaleIdx; face[1] = ix0 + (val & 255); face[2] = iy0 + (val >> 8); } } } } } } #endif #ifdef LBP #undef CALC_SUM_OFS_ #define CALC_SUM_OFS_(p0, p1, p2, p3, ptr) \ ((ptr)[p0] - (ptr)[p1] - (ptr)[p2] + (ptr)[p3]) __kernel void runLBPClassifierStumpSimple( int nscales, __global const ScaleData* scaleData, __global const int* sum, int _sumstep, int sumoffset, __global const OptLBPFeature* optfeatures, __global const Stage* stages, __global const Stump* stumps, __global const int* bitsets, int bitsetSize, volatile __global int* facepos, int2 windowsize) { int lx = get_local_id(0); int ly = get_local_id(1); int local_size_x = get_local_size(0); int local_size_y = get_local_size(1); int groupIdx = get_group_id(1)*get_num_groups(0) + get_group_id(0); int ngroups = get_num_groups(0)*get_num_groups(1); int scaleIdx, tileIdx, stageIdx; int sumstep = (int)(_sumstep/sizeof(int)); for( scaleIdx = nscales-1; scaleIdx >= 0; scaleIdx-- ) { __global const ScaleData* s = scaleData + scaleIdx; int ystep = s->ystep; int2 worksize = (int2)(max(s->szi_width - windowsize.x, 0), max(s->szi_height - windowsize.y, 0)); int2 ntiles = (int2)((worksize.x/ystep + local_size_x-1)/local_size_x, (worksize.y/ystep + local_size_y-1)/local_size_y); int totalTiles = ntiles.x*ntiles.y; for( tileIdx = groupIdx; tileIdx < totalTiles; tileIdx += ngroups ) { int iy = mad24((tileIdx / ntiles.x), local_size_y, ly) * ystep; int ix = mad24((tileIdx % ntiles.x), local_size_x, lx) * ystep; if( ix < worksize.x && iy < worksize.y ) { __global const int* p = sum + mad24(iy, sumstep, ix) + s->layer_ofs; __global const Stump* stump = stumps; __global const int* bitset = bitsets; for( stageIdx = 0; stageIdx < N_STAGES; stageIdx++ ) { int i, ntrees = stages[stageIdx].ntrees; float s = 0.f; for( i = 0; i < ntrees; i++, stump++, bitset += bitsetSize ) { float4 st = stump->st; __global const OptLBPFeature* f = optfeatures + as_int(st.x); int16 ofs = f->ofs; int cval = CALC_SUM_OFS_( ofs.s5, ofs.s6, ofs.s9, ofs.sa, p ); int mask, idx = (CALC_SUM_OFS_( ofs.s0, ofs.s1, ofs.s4, ofs.s5, p ) >= cval ? 4 : 0); idx |= (CALC_SUM_OFS_( ofs.s1, ofs.s2, ofs.s5, ofs.s6, p ) >= cval ? 2 : 0); idx |= (CALC_SUM_OFS_( ofs.s2, ofs.s3, ofs.s6, ofs.s7, p ) >= cval ? 1 : 0); mask = (CALC_SUM_OFS_( ofs.s6, ofs.s7, ofs.sa, ofs.sb, p ) >= cval ? 16 : 0); mask |= (CALC_SUM_OFS_( ofs.sa, ofs.sb, ofs.se, ofs.sf, p ) >= cval ? 8 : 0); mask |= (CALC_SUM_OFS_( ofs.s9, ofs.sa, ofs.sd, ofs.se, p ) >= cval ? 4 : 0); mask |= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0); mask |= (CALC_SUM_OFS_( ofs.s4, ofs.s5, ofs.s8, ofs.s9, p ) >= cval ? 1 : 0); s += (bitset[idx] & (1 << mask)) ? st.z : st.w; } if( s < stages[stageIdx].threshold ) break; } if( stageIdx == N_STAGES ) { int nfaces = atomic_inc(facepos); if( nfaces < MAX_FACES ) { volatile __global int* face = facepos + 1 + nfaces*3; face[0] = scaleIdx; face[1] = ix; face[2] = iy; } } } } } } __kernel __attribute__((reqd_work_group_size(LOCAL_SIZE_X,LOCAL_SIZE_Y,1))) void runLBPClassifierStump( int nscales, __global const ScaleData* scaleData, __global const int* sum, int _sumstep, int sumoffset, __global const OptLBPFeature* optfeatures, __global const Stage* stages, __global const Stump* stumps, __global const int* bitsets, int bitsetSize, volatile __global int* facepos, int2 windowsize) { int lx = get_local_id(0); int ly = get_local_id(1); int groupIdx = get_group_id(0); int i, ngroups = get_global_size(0)/LOCAL_SIZE_X; int scaleIdx, tileIdx, stageIdx; int sumstep = (int)(_sumstep/sizeof(int)); int lidx = ly*LOCAL_SIZE_X + lx; #define LOCAL_SIZE (LOCAL_SIZE_X*LOCAL_SIZE_Y) __local int lstore[SUM_BUF_SIZE + LOCAL_SIZE*3/2+1]; #if SUM_BUF_SIZE > 0 __local int* ibuf = lstore; __local int* lcount = ibuf + SUM_BUF_SIZE; #else __local int* lcount = lstore; #endif __local float* lpartsum = (__local float*)(lcount + 1); __local short* lbuf = (__local short*)(lpartsum + LOCAL_SIZE); for( scaleIdx = nscales-1; scaleIdx >= 0; scaleIdx-- ) { __global const ScaleData* s = scaleData + scaleIdx; int ystep = s->ystep; int2 worksize = (int2)(max(s->szi_width - windowsize.x, 0), max(s->szi_height - windowsize.y, 0)); int2 ntiles = (int2)((worksize.x + LOCAL_SIZE_X-1)/LOCAL_SIZE_X, (worksize.y + LOCAL_SIZE_Y-1)/LOCAL_SIZE_Y); int totalTiles = ntiles.x*ntiles.y; for( tileIdx = groupIdx; tileIdx < totalTiles; tileIdx += ngroups ) { int ix0 = (tileIdx % ntiles.x)*LOCAL_SIZE_X; int iy0 = (tileIdx / ntiles.x)*LOCAL_SIZE_Y; int ix = lx, iy = ly; __global const int* psum0 = sum + mad24(iy0, sumstep, ix0) + s->layer_ofs; if( ix0 >= worksize.x || iy0 >= worksize.y ) continue; #if SUM_BUF_SIZE > 0 for( i = lidx*4; i < SUM_BUF_SIZE; i += LOCAL_SIZE_X*LOCAL_SIZE_Y*4 ) { int dy = i/SUM_BUF_STEP, dx = i - dy*SUM_BUF_STEP; vstore4(vload4(0, psum0 + mad24(dy, sumstep, dx)), 0, ibuf+i); } barrier(CLK_LOCAL_MEM_FENCE); #endif if( lidx == 0 ) lcount[0] = 0; barrier(CLK_LOCAL_MEM_FENCE); if( ix0 + ix < worksize.x && iy0 + iy < worksize.y ) { __global const Stump* stump = stumps; __global const int* bitset = bitsets; #if SUM_BUF_SIZE > 0 __local const int* p = ibuf + mad24(iy, SUM_BUF_STEP, ix); #else __global const int* p = psum0 + mad24(iy, sumstep, ix); #endif for( stageIdx = 0; stageIdx < SPLIT_STAGE; stageIdx++ ) { int ntrees = stages[stageIdx].ntrees; float s = 0.f; for( i = 0; i < ntrees; i++, stump++, bitset += bitsetSize ) { float4 st = stump->st; __global const OptLBPFeature* f = optfeatures + as_int(st.x); int16 ofs = f->ofs; int cval = CALC_SUM_OFS_( ofs.s5, ofs.s6, ofs.s9, ofs.sa, p ); int mask, idx = (CALC_SUM_OFS_( ofs.s0, ofs.s1, ofs.s4, ofs.s5, p ) >= cval ? 4 : 0); idx |= (CALC_SUM_OFS_( ofs.s1, ofs.s2, ofs.s5, ofs.s6, p ) >= cval ? 2 : 0); idx |= (CALC_SUM_OFS_( ofs.s2, ofs.s3, ofs.s6, ofs.s7, p ) >= cval ? 1 : 0); mask = (CALC_SUM_OFS_( ofs.s6, ofs.s7, ofs.sa, ofs.sb, p ) >= cval ? 16 : 0); mask |= (CALC_SUM_OFS_( ofs.sa, ofs.sb, ofs.se, ofs.sf, p ) >= cval ? 8 : 0); mask |= (CALC_SUM_OFS_( ofs.s9, ofs.sa, ofs.sd, ofs.se, p ) >= cval ? 4 : 0); mask |= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0); mask |= (CALC_SUM_OFS_( ofs.s4, ofs.s5, ofs.s8, ofs.s9, p ) >= cval ? 1 : 0); s += (bitset[idx] & (1 << mask)) ? st.z : st.w; } if( s < stages[stageIdx].threshold ) break; } if( stageIdx == SPLIT_STAGE && (ystep == 1 || ((ix | iy) & 1) == 0) ) { int count = atomic_inc(lcount); lbuf[count] = (int)(ix | (iy << 8)); } } for( stageIdx = SPLIT_STAGE; stageIdx < N_STAGES; stageIdx++ ) { int nrects = lcount[0]; barrier(CLK_LOCAL_MEM_FENCE); if( nrects == 0 ) break; if( lidx == 0 ) lcount[0] = 0; { __global const Stump* stump = stumps + stages[stageIdx].first; __global const int* bitset = bitsets + stages[stageIdx].first*bitsetSize; int nparts = LOCAL_SIZE / nrects; int ntrees = stages[stageIdx].ntrees; int ntrees_p = (ntrees + nparts - 1)/nparts; int nr = lidx / nparts; int partidx = -1, idxval = 0; float partsum = 0.f, nf = 0.f; if( nr < nrects ) { partidx = lidx % nparts; idxval = lbuf[nr]; { int ntrees0 = ntrees_p*partidx; int ntrees1 = min(ntrees0 + ntrees_p, ntrees); int ix1 = idxval & 255, iy1 = idxval >> 8; #if SUM_BUF_SIZE > 0 __local const int* p = ibuf + mad24(iy1, SUM_BUF_STEP, ix1); #else __global const int* p = psum0 + mad24(iy1, sumstep, ix1); #endif for( i = ntrees0; i < ntrees1; i++ ) { float4 st = stump[i].st; __global const OptLBPFeature* f = optfeatures + as_int(st.x); int16 ofs = f->ofs; #define CALC_SUM_OFS_(p0, p1, p2, p3, ptr) \ ((ptr)[p0] - (ptr)[p1] - (ptr)[p2] + (ptr)[p3]) int cval = CALC_SUM_OFS_( ofs.s5, ofs.s6, ofs.s9, ofs.sa, p ); int mask, idx = (CALC_SUM_OFS_( ofs.s0, ofs.s1, ofs.s4, ofs.s5, p ) >= cval ? 4 : 0); idx |= (CALC_SUM_OFS_( ofs.s1, ofs.s2, ofs.s5, ofs.s6, p ) >= cval ? 2 : 0); idx |= (CALC_SUM_OFS_( ofs.s2, ofs.s3, ofs.s6, ofs.s7, p ) >= cval ? 1 : 0); mask = (CALC_SUM_OFS_( ofs.s6, ofs.s7, ofs.sa, ofs.sb, p ) >= cval ? 16 : 0); mask |= (CALC_SUM_OFS_( ofs.sa, ofs.sb, ofs.se, ofs.sf, p ) >= cval ? 8 : 0); mask |= (CALC_SUM_OFS_( ofs.s9, ofs.sa, ofs.sd, ofs.se, p ) >= cval ? 4 : 0); mask |= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0); mask |= (CALC_SUM_OFS_( ofs.s4, ofs.s5, ofs.s8, ofs.s9, p ) >= cval ? 1 : 0); partsum += (bitset[i*bitsetSize + idx] & (1 << mask)) ? st.z : st.w; } } } lpartsum[lidx] = partsum; barrier(CLK_LOCAL_MEM_FENCE); if( partidx == 0 ) { float s = lpartsum[nr*nparts]; for( i = 1; i < nparts; i++ ) s += lpartsum[i + nr*nparts]; if( s >= stages[stageIdx].threshold ) { int count = atomic_inc(lcount); lbuf[count] = idxval; } } } } barrier(CLK_LOCAL_MEM_FENCE); if( stageIdx == N_STAGES ) { int nrects = lcount[0]; if( lidx < nrects ) { int nfaces = atomic_inc(facepos); if( nfaces < MAX_FACES ) { volatile __global int* face = facepos + 1 + nfaces*3; int val = lbuf[lidx]; face[0] = scaleIdx; face[1] = ix0 + (val & 255); face[2] = iy0 + (val >> 8); } } } } } } #endif 91af1bca5e8f46e8426e0f3a1eb8d1f2objdetect_hog#define CELL_WIDTH 8 #define CELL_HEIGHT 8 #define CELLS_PER_BLOCK_X 2 #define CELLS_PER_BLOCK_Y 2 #define NTHREADS 256 #define CV_PI_F M_PI_F #ifdef INTEL_DEVICE #define QANGLE_TYPE int #define QANGLE_TYPE2 int2 #else #define QANGLE_TYPE uchar #define QANGLE_TYPE2 uchar2 #endif __kernel void compute_hists_lut_kernel( const int cblock_stride_x, const int cblock_stride_y, const int cnbins, const int cblock_hist_size, const int img_block_width, const int blocks_in_group, const int blocks_total, const int grad_quadstep, const int qangle_step, __global const float* grad, __global const QANGLE_TYPE* qangle, __global const float* gauss_w_lut, __global float* block_hists, __local float* smem) { const int lx = get_local_id(0); const int lp = lx / 24; const int gid = get_group_id(0) * blocks_in_group + lp; const int gidY = gid / img_block_width; const int gidX = gid - gidY * img_block_width; const int lidX = lx - lp * 24; const int lidY = get_local_id(1); const int cell_x = lidX / 12; const int cell_y = lidY; const int cell_thread_x = lidX - cell_x * 12; __local float* hists = smem + lp * cnbins * (CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y * 12 + CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y); __local float* final_hist = hists + cnbins * (CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y * 12); const int offset_x = gidX * cblock_stride_x + (cell_x << 2) + cell_thread_x; const int offset_y = gidY * cblock_stride_y + (cell_y << 2); __global const float* grad_ptr = (gid < blocks_total) ? grad + offset_y * grad_quadstep + (offset_x << 1) : grad; __global const QANGLE_TYPE* qangle_ptr = (gid < blocks_total) ? qangle + offset_y * qangle_step + (offset_x << 1) : qangle; __local float* hist = hists + 12 * (cell_y * CELLS_PER_BLOCK_Y + cell_x) + cell_thread_x; for (int bin_id = 0; bin_id < cnbins; ++bin_id) hist[bin_id * 48] = 0.f; const int dist_x = -4 + cell_thread_x - 4 * cell_x; const int dist_center_x = dist_x - 4 * (1 - 2 * cell_x); const int dist_y_begin = -4 - 4 * lidY; for (int dist_y = dist_y_begin; dist_y < dist_y_begin + 12; ++dist_y) { float2 vote = (float2) (grad_ptr[0], grad_ptr[1]); QANGLE_TYPE2 bin = (QANGLE_TYPE2) (qangle_ptr[0], qangle_ptr[1]); grad_ptr += grad_quadstep; qangle_ptr += qangle_step; int dist_center_y = dist_y - 4 * (1 - 2 * cell_y); int idx = (dist_center_y + 8) * 16 + (dist_center_x + 8); float gaussian = gauss_w_lut[idx]; idx = (dist_y + 8) * 16 + (dist_x + 8); float interp_weight = gauss_w_lut[256+idx]; hist[bin.x * 48] += gaussian * interp_weight * vote.x; hist[bin.y * 48] += gaussian * interp_weight * vote.y; } barrier(CLK_LOCAL_MEM_FENCE); volatile __local float* hist_ = hist; for (int bin_id = 0; bin_id < cnbins; ++bin_id, hist_ += 48) { if (cell_thread_x < 6) hist_[0] += hist_[6]; barrier(CLK_LOCAL_MEM_FENCE); if (cell_thread_x < 3) hist_[0] += hist_[3]; #ifdef CPU barrier(CLK_LOCAL_MEM_FENCE); #endif if (cell_thread_x == 0) final_hist[(cell_x * 2 + cell_y) * cnbins + bin_id] = hist_[0] + hist_[1] + hist_[2]; } barrier(CLK_LOCAL_MEM_FENCE); int tid = (cell_y * CELLS_PER_BLOCK_Y + cell_x) * 12 + cell_thread_x; if ((tid < cblock_hist_size) && (gid < blocks_total)) { __global float* block_hist = block_hists + (gidY * img_block_width + gidX) * cblock_hist_size; block_hist[tid] = final_hist[tid]; } } __kernel void normalize_hists_36_kernel(__global float* block_hists, const float threshold, __local float *squares) { const int tid = get_local_id(0); const int gid = get_global_id(0); const int bid = tid / 36; const int boffset = bid * 36; const int hid = tid - boffset; float elem = block_hists[gid]; squares[tid] = elem * elem; barrier(CLK_LOCAL_MEM_FENCE); __local float* smem = squares + boffset; float sum = smem[hid]; if (hid < 18) smem[hid] = sum = sum + smem[hid + 18]; barrier(CLK_LOCAL_MEM_FENCE); if (hid < 9) smem[hid] = sum = sum + smem[hid + 9]; barrier(CLK_LOCAL_MEM_FENCE); if (hid < 4) smem[hid] = sum + smem[hid + 4]; barrier(CLK_LOCAL_MEM_FENCE); sum = smem[0] + smem[1] + smem[2] + smem[3] + smem[8]; elem = elem / (sqrt(sum) + 3.6f); elem = min(elem, threshold); barrier(CLK_LOCAL_MEM_FENCE); squares[tid] = elem * elem; barrier(CLK_LOCAL_MEM_FENCE); sum = smem[hid]; if (hid < 18) smem[hid] = sum = sum + smem[hid + 18]; barrier(CLK_LOCAL_MEM_FENCE); if (hid < 9) smem[hid] = sum = sum + smem[hid + 9]; barrier(CLK_LOCAL_MEM_FENCE); if (hid < 4) smem[hid] = sum + smem[hid + 4]; barrier(CLK_LOCAL_MEM_FENCE); sum = smem[0] + smem[1] + smem[2] + smem[3] + smem[8]; block_hists[gid] = elem / (sqrt(sum) + 1e-3f); } inline float reduce_smem(volatile __local float* smem, int size) { unsigned int tid = get_local_id(0); float sum = smem[tid]; if (size >= 512) { if (tid < 256) smem[tid] = sum = sum + smem[tid + 256]; barrier(CLK_LOCAL_MEM_FENCE); } if (size >= 256) { if (tid < 128) smem[tid] = sum = sum + smem[tid + 128]; barrier(CLK_LOCAL_MEM_FENCE); } if (size >= 128) { if (tid < 64) smem[tid] = sum = sum + smem[tid + 64]; barrier(CLK_LOCAL_MEM_FENCE); } #ifdef CPU if (size >= 64) { if (tid < 32) smem[tid] = sum = sum + smem[tid + 32]; barrier(CLK_LOCAL_MEM_FENCE); } if (size >= 32) { if (tid < 16) smem[tid] = sum = sum + smem[tid + 16]; barrier(CLK_LOCAL_MEM_FENCE); } if (size >= 16) { if (tid < 8) smem[tid] = sum = sum + smem[tid + 8]; barrier(CLK_LOCAL_MEM_FENCE); } if (size >= 8) { if (tid < 4) smem[tid] = sum = sum + smem[tid + 4]; barrier(CLK_LOCAL_MEM_FENCE); } if (size >= 4) { if (tid < 2) smem[tid] = sum = sum + smem[tid + 2]; barrier(CLK_LOCAL_MEM_FENCE); } if (size >= 2) { if (tid < 1) smem[tid] = sum = sum + smem[tid + 1]; barrier(CLK_LOCAL_MEM_FENCE); } #else if (tid < 32) { if (size >= 64) smem[tid] = sum = sum + smem[tid + 32]; #if WAVE_SIZE < 32 } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) { #endif if (size >= 32) smem[tid] = sum = sum + smem[tid + 16]; if (size >= 16) smem[tid] = sum = sum + smem[tid + 8]; if (size >= 8) smem[tid] = sum = sum + smem[tid + 4]; if (size >= 4) smem[tid] = sum = sum + smem[tid + 2]; if (size >= 2) smem[tid] = sum = sum + smem[tid + 1]; } #endif return sum; } __kernel void normalize_hists_kernel( const int nthreads, const int block_hist_size, const int img_block_width, __global float* block_hists, const float threshold, __local float *squares) { const int tid = get_local_id(0); const int gidX = get_group_id(0); const int gidY = get_group_id(1); __global float* hist = block_hists + (gidY * img_block_width + gidX) * block_hist_size + tid; float elem = 0.f; if (tid < block_hist_size) elem = hist[0]; squares[tid] = elem * elem; barrier(CLK_LOCAL_MEM_FENCE); float sum = reduce_smem(squares, nthreads); float scale = 1.0f / (sqrt(sum) + 0.1f * block_hist_size); elem = min(elem * scale, threshold); barrier(CLK_LOCAL_MEM_FENCE); squares[tid] = elem * elem; barrier(CLK_LOCAL_MEM_FENCE); sum = reduce_smem(squares, nthreads); scale = 1.0f / (sqrt(sum) + 1e-3f); if (tid < block_hist_size) hist[0] = elem * scale; } __kernel void classify_hists_180_kernel( const int cdescr_width, const int cdescr_height, const int cblock_hist_size, const int img_win_width, const int img_block_width, const int win_block_stride_x, const int win_block_stride_y, __global const float * block_hists, __global const float* coefs, float free_coef, float threshold, __global uchar* labels) { const int tid = get_local_id(0); const int gidX = get_group_id(0); const int gidY = get_group_id(1); __global const float* hist = block_hists + (gidY * win_block_stride_y * img_block_width + gidX * win_block_stride_x) * cblock_hist_size; float product = 0.f; for (int i = 0; i < cdescr_height; i++) { product += coefs[i * cdescr_width + tid] * hist[i * img_block_width * cblock_hist_size + tid]; } __local float products[180]; products[tid] = product; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 90) products[tid] = product = product + products[tid + 90]; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 45) products[tid] = product = product + products[tid + 45]; barrier(CLK_LOCAL_MEM_FENCE); volatile __local float* smem = products; #ifdef CPU if (tid < 13) smem[tid] = product = product + smem[tid + 32]; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) smem[tid] = product = product + smem[tid + 16]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<8) smem[tid] = product = product + smem[tid + 8]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<4) smem[tid] = product = product + smem[tid + 4]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<2) smem[tid] = product = product + smem[tid + 2]; barrier(CLK_LOCAL_MEM_FENCE); #else if (tid < 13) { smem[tid] = product = product + smem[tid + 32]; } #if WAVE_SIZE < 32 barrier(CLK_LOCAL_MEM_FENCE); #endif if (tid < 16) { smem[tid] = product = product + smem[tid + 16]; smem[tid] = product = product + smem[tid + 8]; smem[tid] = product = product + smem[tid + 4]; smem[tid] = product = product + smem[tid + 2]; } #endif if (tid == 0){ product = product + smem[tid + 1]; labels[gidY * img_win_width + gidX] = (product + free_coef >= threshold); } } __kernel void classify_hists_252_kernel( const int cdescr_width, const int cdescr_height, const int cblock_hist_size, const int img_win_width, const int img_block_width, const int win_block_stride_x, const int win_block_stride_y, __global const float * block_hists, __global const float* coefs, float free_coef, float threshold, __global uchar* labels) { const int tid = get_local_id(0); const int gidX = get_group_id(0); const int gidY = get_group_id(1); __global const float* hist = block_hists + (gidY * win_block_stride_y * img_block_width + gidX * win_block_stride_x) * cblock_hist_size; float product = 0.f; if (tid < cdescr_width) { for (int i = 0; i < cdescr_height; i++) product += coefs[i * cdescr_width + tid] * hist[i * img_block_width * cblock_hist_size + tid]; } __local float products[NTHREADS]; products[tid] = product; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 128) products[tid] = product = product + products[tid + 128]; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 64) products[tid] = product = product + products[tid + 64]; barrier(CLK_LOCAL_MEM_FENCE); volatile __local float* smem = products; #ifdef CPU if(tid<32) smem[tid] = product = product + smem[tid + 32]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<16) smem[tid] = product = product + smem[tid + 16]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<8) smem[tid] = product = product + smem[tid + 8]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<4) smem[tid] = product = product + smem[tid + 4]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<2) smem[tid] = product = product + smem[tid + 2]; barrier(CLK_LOCAL_MEM_FENCE); #else if (tid < 32) { smem[tid] = product = product + smem[tid + 32]; #if WAVE_SIZE < 32 } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) { #endif smem[tid] = product = product + smem[tid + 16]; smem[tid] = product = product + smem[tid + 8]; smem[tid] = product = product + smem[tid + 4]; smem[tid] = product = product + smem[tid + 2]; } #endif if (tid == 0){ product = product + smem[tid + 1]; labels[gidY * img_win_width + gidX] = (product + free_coef >= threshold); } } __kernel void classify_hists_kernel( const int cdescr_size, const int cdescr_width, const int cblock_hist_size, const int img_win_width, const int img_block_width, const int win_block_stride_x, const int win_block_stride_y, __global const float * block_hists, __global const float* coefs, float free_coef, float threshold, __global uchar* labels) { const int tid = get_local_id(0); const int gidX = get_group_id(0); const int gidY = get_group_id(1); __global const float* hist = block_hists + (gidY * win_block_stride_y * img_block_width + gidX * win_block_stride_x) * cblock_hist_size; float product = 0.f; for (int i = tid; i < cdescr_size; i += NTHREADS) { int offset_y = i / cdescr_width; int offset_x = i - offset_y * cdescr_width; product += coefs[i] * hist[offset_y * img_block_width * cblock_hist_size + offset_x]; } __local float products[NTHREADS]; products[tid] = product; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 128) products[tid] = product = product + products[tid + 128]; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 64) products[tid] = product = product + products[tid + 64]; barrier(CLK_LOCAL_MEM_FENCE); volatile __local float* smem = products; #ifdef CPU if(tid<32) smem[tid] = product = product + smem[tid + 32]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<16) smem[tid] = product = product + smem[tid + 16]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<8) smem[tid] = product = product + smem[tid + 8]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<4) smem[tid] = product = product + smem[tid + 4]; barrier(CLK_LOCAL_MEM_FENCE); if(tid<2) smem[tid] = product = product + smem[tid + 2]; barrier(CLK_LOCAL_MEM_FENCE); #else if (tid < 32) { smem[tid] = product = product + smem[tid + 32]; #if WAVE_SIZE < 32 } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) { #endif smem[tid] = product = product + smem[tid + 16]; smem[tid] = product = product + smem[tid + 8]; smem[tid] = product = product + smem[tid + 4]; smem[tid] = product = product + smem[tid + 2]; } #endif if (tid == 0){ smem[tid] = product = product + smem[tid + 1]; labels[gidY * img_win_width + gidX] = (product + free_coef >= threshold); } } __kernel void extract_descrs_by_rows_kernel( const int cblock_hist_size, const int descriptors_quadstep, const int cdescr_size, const int cdescr_width, const int img_block_width, const int win_block_stride_x, const int win_block_stride_y, __global const float* block_hists, __global float* descriptors) { int tid = get_local_id(0); int gidX = get_group_id(0); int gidY = get_group_id(1); __global const float* hist = block_hists + (gidY * win_block_stride_y * img_block_width + gidX * win_block_stride_x) * cblock_hist_size; __global float* descriptor = descriptors + (gidY * get_num_groups(0) + gidX) * descriptors_quadstep; for (int i = tid; i < cdescr_size; i += NTHREADS) { int offset_y = i / cdescr_width; int offset_x = i - offset_y * cdescr_width; descriptor[i] = hist[offset_y * img_block_width * cblock_hist_size + offset_x]; } } __kernel void extract_descrs_by_cols_kernel( const int cblock_hist_size, const int descriptors_quadstep, const int cdescr_size, const int cnblocks_win_x, const int cnblocks_win_y, const int img_block_width, const int win_block_stride_x, const int win_block_stride_y, __global const float* block_hists, __global float* descriptors) { int tid = get_local_id(0); int gidX = get_group_id(0); int gidY = get_group_id(1); __global const float* hist = block_hists + (gidY * win_block_stride_y * img_block_width + gidX * win_block_stride_x) * cblock_hist_size; __global float* descriptor = descriptors + (gidY * get_num_groups(0) + gidX) * descriptors_quadstep; for (int i = tid; i < cdescr_size; i += NTHREADS) { int block_idx = i / cblock_hist_size; int idx_in_block = i - block_idx * cblock_hist_size; int y = block_idx / cnblocks_win_x; int x = block_idx - y * cnblocks_win_x; descriptor[(x * cnblocks_win_y + y) * cblock_hist_size + idx_in_block] = hist[(y * img_block_width + x) * cblock_hist_size + idx_in_block]; } } __kernel void compute_gradients_8UC4_kernel( const int height, const int width, const int img_step, const int grad_quadstep, const int qangle_step, const __global uchar4 * img, __global float * grad, __global QANGLE_TYPE * qangle, const float angle_scale, const char correct_gamma, const int cnbins) { const int x = get_global_id(0); const int tid = get_local_id(0); const int gSizeX = get_local_size(0); const int gidY = get_group_id(1); __global const uchar4* row = img + gidY * img_step; __local float sh_row[(NTHREADS + 2) * 3]; uchar4 val; if (x < width) val = row[x]; else val = row[width - 2]; sh_row[tid + 1] = val.x; sh_row[tid + 1 + (NTHREADS + 2)] = val.y; sh_row[tid + 1 + 2 * (NTHREADS + 2)] = val.z; if (tid == 0) { val = row[max(x - 1, 1)]; sh_row[0] = val.x; sh_row[(NTHREADS + 2)] = val.y; sh_row[2 * (NTHREADS + 2)] = val.z; } if (tid == gSizeX - 1) { val = row[min(x + 1, width - 2)]; sh_row[gSizeX + 1] = val.x; sh_row[gSizeX + 1 + (NTHREADS + 2)] = val.y; sh_row[gSizeX + 1 + 2 * (NTHREADS + 2)] = val.z; } barrier(CLK_LOCAL_MEM_FENCE); if (x < width) { float4 a = (float4) (sh_row[tid], sh_row[tid + (NTHREADS + 2)], sh_row[tid + 2 * (NTHREADS + 2)], 0); float4 b = (float4) (sh_row[tid + 2], sh_row[tid + 2 + (NTHREADS + 2)], sh_row[tid + 2 + 2 * (NTHREADS + 2)], 0); float4 dx; if (correct_gamma == 1) dx = sqrt(b) - sqrt(a); else dx = b - a; float4 dy = (float4) 0.f; if (gidY > 0 && gidY < height - 1) { a = convert_float4(img[(gidY - 1) * img_step + x].xyzw); b = convert_float4(img[(gidY + 1) * img_step + x].xyzw); if (correct_gamma == 1) dy = sqrt(b) - sqrt(a); else dy = b - a; } float4 mag = hypot(dx, dy); float best_dx = dx.x; float best_dy = dy.x; float mag0 = mag.x; if (mag0 < mag.y) { best_dx = dx.y; best_dy = dy.y; mag0 = mag.y; } if (mag0 < mag.z) { best_dx = dx.z; best_dy = dy.z; mag0 = mag.z; } float ang = (atan2(best_dy, best_dx) + CV_PI_F) * angle_scale - 0.5f; int hidx = (int)floor(ang); ang -= hidx; hidx = (hidx + cnbins) % cnbins; qangle[(gidY * qangle_step + x) << 1] = hidx; qangle[((gidY * qangle_step + x) << 1) + 1] = (hidx + 1) % cnbins; grad[(gidY * grad_quadstep + x) << 1] = mag0 * (1.f - ang); grad[((gidY * grad_quadstep + x) << 1) + 1] = mag0 * ang; } } __kernel void compute_gradients_8UC1_kernel( const int height, const int width, const int img_step, const int grad_quadstep, const int qangle_step, __global const uchar * img, __global float * grad, __global QANGLE_TYPE * qangle, const float angle_scale, const char correct_gamma, const int cnbins) { const int x = get_global_id(0); const int tid = get_local_id(0); const int gSizeX = get_local_size(0); const int gidY = get_group_id(1); __global const uchar* row = img + gidY * img_step; __local float sh_row[NTHREADS + 2]; if (x < width) sh_row[tid + 1] = row[x]; else sh_row[tid + 1] = row[width - 2]; if (tid == 0) sh_row[0] = row[max(x - 1, 1)]; if (tid == gSizeX - 1) sh_row[gSizeX + 1] = row[min(x + 1, width - 2)]; barrier(CLK_LOCAL_MEM_FENCE); if (x < width) { float dx; if (correct_gamma == 1) dx = sqrt(sh_row[tid + 2]) - sqrt(sh_row[tid]); else dx = sh_row[tid + 2] - sh_row[tid]; float dy = 0.f; if (gidY > 0 && gidY < height - 1) { float a = (float) img[ (gidY + 1) * img_step + x ]; float b = (float) img[ (gidY - 1) * img_step + x ]; if (correct_gamma == 1) dy = sqrt(a) - sqrt(b); else dy = a - b; } float mag = hypot(dx, dy); float ang = (atan2(dy, dx) + CV_PI_F) * angle_scale - 0.5f; int hidx = (int)floor(ang); ang -= hidx; hidx = (hidx + cnbins) % cnbins; qangle[ (gidY * qangle_step + x) << 1 ] = hidx; qangle[ ((gidY * qangle_step + x) << 1) + 1 ] = (hidx + 1) % cnbins; grad[ (gidY * grad_quadstep + x) << 1 ] = mag * (1.f - ang); grad[ ((gidY * grad_quadstep + x) << 1) + 1 ] = mag * ang; } } bc57f4f75fb81bae73bfe73cc4ca15e4 DEEڍ@80(.(__ZN2cv3ocl9objdetect20cascadedetect_oclsrcE__ZN2cv3ocl9objdetect20objdetect_hog_oclsrcE #1/20 1548786658 501 20 100644 220 ` haar.avx.cpp.o __text__TEXT$