hc
2023-11-06 9df731a176aab8e03b984b681b1bea01ccff6644
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InverseSearch_ParBodyE_ZTIN2cv18DISOpticalFlowImpl26PatchInverseSearch_ParBodyE_ZTSN2cv18DISOpticalFlowImpl21Densification_ParBodyE_ZTIN2cv18DISOpticalFlowImpl21Densification_ParBodyE_ZTSN2cv18DISOpticalFlowImplE_ZTIN2cv18DISOpticalFlowImplE_ZTSSt23_Sp_counted_ptr_inplaceIN2cv18DISOpticalFlowImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZTISt23_Sp_counted_ptr_inplaceIN2cv18DISOpticalFlowImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZN2cv9Algorithm5clearEv_ZNK2cv9Algorithm5writeERNS_11FileStorageE_ZN2cv9Algorithm4readERKNS_8FileNodeE_ZNK2cv9Algorithm5emptyEv_ZNK2cv27BackgroundSubtractorKNNImpl10getHistoryEv_ZN2cv27BackgroundSubtractorKNNImpl10setHistoryEi_ZNK2cv27BackgroundSubtractorKNNImpl11getNSamplesEv_ZN2cv27BackgroundSubtractorKNNImpl11setNSamplesEi_ZNK2cv27BackgroundSubtractorKNNImpl13getkNNSamplesEv_ZN2cv27BackgroundSubtractorKNNImpl13setkNNSamplesEi_ZNK2cv27BackgroundSubtractorKNNImpl17getDist2ThresholdEv_ZN2cv27BackgroundSubtractorKNNImpl17setDist2ThresholdEd_ZNK2cv27BackgroundSubtractorKNNImpl16getDetectShadowsEv_ZNK2cv27BackgroundSubtractorKNNImpl14getShadowValueEv_ZN2cv27BackgroundSubtractorKNNImpl14setShadowValueEi_ZNK2cv27BackgroundSubtractorKNNImpl18getShadowThresholdEv_ZN2cv27BackgroundSubtractorKNNImpl18setShadowThresholdEd_ZNSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZN2cv10KNNInvokerD2Ev_ZTVN2cv10KNNInvokerE_ZN2cv10KNNInvokerD1Ev_ZN2cv10KNNInvokerD0Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZTSSt19_Sp_make_shared_tag_ZN2cv27BackgroundSubtractorKNNImpl4readERKNS_8FileNodeEDW.ref.__gxx_personality_v0_ZNK2cv10KNNInvokerclERKNS_5RangeE_ZNSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZNSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZTVN2cv27BackgroundSubtractorKNNImplE_ZTVN2cv20BackgroundSubtractorE_ZN2cv27BackgroundSubtractorKNNImplD0Ev_ZN2cv27BackgroundSubtractorKNNImplD2Ev_ZN2cv27BackgroundSubtractorKNNImplD1Ev_ZNK2cv27BackgroundSubtractorKNNImpl5writeERNS_11FileStorageE_ZN2cv27BackgroundSubtractorKNNImpl16setDetectShadowsEb_ZN2cv3MatD2Ev_ZN2cv3MatD1Ev_ZN2cv27BackgroundSubtractorKNNImpl10initializeENS_5Size_IiEEi_ZN2cv27BackgroundSubtractorKNNImpl9ocl_applyERKNS_11_InputArrayERKNS_12_OutputArrayEd_ZN2cv27BackgroundSubtractorKNNImpl5applyERKNS_11_InputArrayERKNS_12_OutputArrayEdDW.ref._ZTIN2cv9ExceptionE_ZNK2cv27BackgroundSubtractorKNNImpl22ocl_getBackgroundImageERKNS_12_OutputArrayE_ZN2cv27BackgroundSubtractorKNNImpl23create_ocl_apply_kernelEv_ZN2cv29createBackgroundSubtractorKNNEidb_ZTVSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZTISt19_Sp_make_shared_tag_ZNSt6vectorIN2cv3MatESaIS1_EED2Ev_ZNSt6vectorIN2cv3MatESaIS1_EED1Ev_ZNK2cv27BackgroundSubtractorKNNImpl18getBackgroundImageERKNS_12_OutputArrayE_ZTSSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTISt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTSSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTISt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTSN2cv20BackgroundSubtractorE_ZTIN2cv20BackgroundSubtractorE_ZTSN2cv23BackgroundSubtractorKNNE_ZTIN2cv23BackgroundSubtractorKNNE_ZTSN2cv27BackgroundSubtractorKNNImplE_ZTIN2cv27BackgroundSubtractorKNNImplE_ZTSN2cv10KNNInvokerE_ZTIN2cv10KNNInvokerE_ZTSSt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZTISt23_Sp_counted_ptr_inplaceIN2cv27BackgroundSubtractorKNNImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZN2cv3MatD2EvDW.ref.__gxx_personality_v0_ZN2cv3MatD1Ev_ZN2cv3Mat7releaseEv_ZNK2cv7MatExprcvNS_3MatEEv_ZN2cv7MatExprD2Ev_ZN2cv7MatExprD1Ev_ZN2cv10computeECCERKNS_11_InputArrayES2_S2__ZN2cv16findTransformECCERKNS_11_InputArrayES2_RKNS_17_InputOutputArrayEiNS_12TermCriteriaES2_i_ZN2cv16findTransformECCERKNS_11_InputArrayES2_RKNS_17_InputOutputArrayEiNS_12TermCriteriaES2__ZN2cv9Algorithm5clearEv_ZNK2cv9Algorithm5writeERNS_11FileStorageE_ZN2cv9Algorithm4readERKNS_8FileNodeE_ZNK2cv9Algorithm5emptyEv_ZNK2cv28BackgroundSubtractorMOG2Impl10getHistoryEv_ZN2cv28BackgroundSubtractorMOG2Impl10setHistoryEi_ZNK2cv28BackgroundSubtractorMOG2Impl12getNMixturesEv_ZN2cv28BackgroundSubtractorMOG2Impl12setNMixturesEi_ZNK2cv28BackgroundSubtractorMOG2Impl18getBackgroundRatioEv_ZN2cv28BackgroundSubtractorMOG2Impl18setBackgroundRatioEd_ZNK2cv28BackgroundSubtractorMOG2Impl15getVarThresholdEv_ZN2cv28BackgroundSubtractorMOG2Impl15setVarThresholdEd_ZNK2cv28BackgroundSubtractorMOG2Impl18getVarThresholdGenEv_ZN2cv28BackgroundSubtractorMOG2Impl18setVarThresholdGenEd_ZNK2cv28BackgroundSubtractorMOG2Impl10getVarInitEv_ZN2cv28BackgroundSubtractorMOG2Impl10setVarInitEd_ZNK2cv28BackgroundSubtractorMOG2Impl9getVarMinEv_ZN2cv28BackgroundSubtractorMOG2Impl9setVarMinEd_ZNK2cv28BackgroundSubtractorMOG2Impl9getVarMaxEv_ZN2cv28BackgroundSubtractorMOG2Impl9setVarMaxEd_ZNK2cv28BackgroundSubtractorMOG2Impl31getComplexityReductionThresholdEv_ZN2cv28BackgroundSubtractorMOG2Impl31setComplexityReductionThresholdEd_ZNK2cv28BackgroundSubtractorMOG2Impl16getDetectShadowsEv_ZNK2cv28BackgroundSubtractorMOG2Impl14getShadowValueEv_ZN2cv28BackgroundSubtractorMOG2Impl14setShadowValueEi_ZNK2cv28BackgroundSubtractorMOG2Impl18getShadowThresholdEv_ZN2cv28BackgroundSubtractorMOG2Impl18setShadowThresholdEd_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZN2cv11MOG2InvokerD2Ev_ZTVN2cv11MOG2InvokerE_ZN2cv11MOG2InvokerD1Ev_ZN2cv11MOG2InvokerD0Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZTSSt19_Sp_make_shared_tag_ZN2cv28BackgroundSubtractorMOG2Impl4readERKNS_8FileNodeEDW.ref.__gxx_personality_v0_ZNSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZNSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZTVN2cv28BackgroundSubtractorMOG2ImplE_ZTVN2cv20BackgroundSubtractorE_ZN2cv28BackgroundSubtractorMOG2ImplD0Ev_ZN2cv28BackgroundSubtractorMOG2ImplD2Ev_ZN2cv28BackgroundSubtractorMOG2ImplD1Ev_ZNK2cv11MOG2InvokerclERKNS_5RangeE_ZNK2cv28BackgroundSubtractorMOG2Impl5writeERNS_11FileStorageE_ZN2cv28BackgroundSubtractorMOG2Impl16setDetectShadowsEb_ZN2cv3MatD2Ev_ZN2cv3MatD1Ev_ZN2cv28BackgroundSubtractorMOG2Impl9ocl_applyERKNS_11_InputArrayERKNS_12_OutputArrayEd_ZN2cv28BackgroundSubtractorMOG2Impl5applyERKNS_11_InputArrayERKNS_12_OutputArrayEdDW.ref._ZTIN2cv9ExceptionE_ZNK2cv28BackgroundSubtractorMOG2Impl22ocl_getBackgroundImageERKNS_12_OutputArrayE_ZN2cv28BackgroundSubtractorMOG2Impl23create_ocl_apply_kernelEv_ZN2cv30createBackgroundSubtractorMOG2Eidb_ZTVSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZTISt19_Sp_make_shared_tag_ZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIhLi1EEEvRKNS_12_OutputArrayE_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIhLi1EEEvRKNS_12_OutputArrayEE25__cv_trace_location_fn887_ZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIhLi3EEEvRKNS_12_OutputArrayE_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIhLi3EEEvRKNS_12_OutputArrayEE25__cv_trace_location_fn887_ZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIfLi1EEEvRKNS_12_OutputArrayE_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIfLi1EEEvRKNS_12_OutputArrayEE25__cv_trace_location_fn887_ZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIfLi3EEEvRKNS_12_OutputArrayE_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIfLi3EEEvRKNS_12_OutputArrayEE25__cv_trace_location_fn887_ZNK2cv28BackgroundSubtractorMOG2Impl18getBackgroundImageERKNS_12_OutputArrayE_ZTSSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTISt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTSSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTISt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTSN2cv20BackgroundSubtractorE_ZTIN2cv20BackgroundSubtractorE_ZTSN2cv24BackgroundSubtractorMOG2E_ZTIN2cv24BackgroundSubtractorMOG2E_ZTSN2cv28BackgroundSubtractorMOG2ImplE_ZTIN2cv28BackgroundSubtractorMOG2ImplE_ZTSN2cv11MOG2InvokerE_ZTIN2cv11MOG2InvokerE_ZTSSt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZTISt23_Sp_counted_ptr_inplaceIN2cv28BackgroundSubtractorMOG2ImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIfLi3EEEvRKNS_12_OutputArrayEE31__cv_trace_location_extra_fn887_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIfLi1EEEvRKNS_12_OutputArrayEE31__cv_trace_location_extra_fn887_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIhLi3EEEvRKNS_12_OutputArrayEE31__cv_trace_location_extra_fn887_ZZNK2cv28BackgroundSubtractorMOG2Impl25getBackgroundImage_internIhLi1EEEvRKNS_12_OutputArrayEE31__cv_trace_location_extra_fn887_ZN2cv9Algorithm5clearEv_ZNK2cv9Algorithm5writeERNS_11FileStorageE_ZN2cv9Algorithm4readERKNS_8FileNodeE_ZNK2cv9Algorithm5emptyEv_ZNK2cv25VariationalRefinementImpl23getFixedPointIterationsEv_ZN2cv25VariationalRefinementImpl23setFixedPointIterationsEi_ZNK2cv25VariationalRefinementImpl16getSorIterationsEv_ZN2cv25VariationalRefinementImpl16setSorIterationsEi_ZNK2cv25VariationalRefinementImpl8getOmegaEv_ZN2cv25VariationalRefinementImpl8setOmegaEf_ZNK2cv25VariationalRefinementImpl8getAlphaEv_ZN2cv25VariationalRefinementImpl8setAlphaEf_ZNK2cv25VariationalRefinementImpl8getDeltaEv_ZN2cv25VariationalRefinementImpl8setDeltaEf_ZNK2cv25VariationalRefinementImpl8getGammaEv_ZN2cv25VariationalRefinementImpl8setGammaEf_ZNSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNK2cv25VariationalRefinementImpl18ParallelOp_ParBodyclERKNS_5RangeEDW.ref.__gxx_personality_v0_ZNSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyD2Ev_ZTVN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyE_ZN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyD1Ev_ZN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyD0Ev_ZN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyD2Ev_ZTVN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyE_ZN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyD1Ev_ZN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyD0Ev_ZN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyD2Ev_ZTVN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyE_ZN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyD1Ev_ZN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyD0Ev_ZN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyD2Ev_ZTVN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyE_ZN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyD1Ev_ZN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyD0Ev_ZN2cv25VariationalRefinementImpl18ParallelOp_ParBodyD2Ev_ZTVN2cv25VariationalRefinementImpl18ParallelOp_ParBodyE_ZN2cv25VariationalRefinementImpl18ParallelOp_ParBodyD1Ev_ZN2cv25VariationalRefinementImpl10subtractOpEPvS1_S1__ZZN2cv25VariationalRefinementImpl10subtractOpEPvS1_S1_E25__cv_trace_location_fn156_ZN2cv25VariationalRefinementImpl9averageOpEPvS1_S1__ZZN2cv25VariationalRefinementImpl9averageOpEPvS1_S1_E25__cv_trace_location_fn150_ZNK2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyclERKNS_5RangeE_ZNK2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyclERKNS_5RangeE_ZNK2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyclERKNS_5RangeE_ZNK2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyclERKNS_5RangeE_ZNSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZTSSt19_Sp_make_shared_tag_ZNSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZN2cv25VariationalRefinementImpl18ParallelOp_ParBodyD0Ev_ZN2cv25VariationalRefinementImplD2Ev_ZTVN2cv25VariationalRefinementImplE_ZTVN2cv16DenseOpticalFlowE_ZN2cv25VariationalRefinementImplD1Ev_ZN2cv25VariationalRefinementImplD0Ev_ZNSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2cv3MatD2Ev_ZN2cv3MatD1Ev_ZN2cv25VariationalRefinementImpl17splitCheckerboardERNS0_14RedBlackBufferERNS_3MatE_ZN2cv25VariationalRefinementImpl18gradVertAndSplitOpEPvS1_S1__ZZN2cv25VariationalRefinementImpl18gradVertAndSplitOpEPvS1_S1_E25__cv_trace_location_fn143_ZN2cv25VariationalRefinementImpl19gradHorizAndSplitOpEPvS1_S1__ZZN2cv25VariationalRefinementImpl19gradHorizAndSplitOpEPvS1_S1_E25__cv_trace_location_fn136_ZN2cv25VariationalRefinementImpl17mergeCheckerboardERNS_3MatERNS0_14RedBlackBufferE_ZN2cv25VariationalRefinementImpl21updateRepeatedBordersERNS0_14RedBlackBufferE_ZN2cv25VariationalRefinementImpl14RedBlackBuffer6createENS_5Size_IiEE_ZN2cv25VariationalRefinementImpl14RedBlackBuffer7releaseEv_ZN2cv25VariationalRefinementImpl14RedBlackBufferC2Ev_ZN2cv25VariationalRefinementImpl14RedBlackBufferC1Ev_ZN2cv25VariationalRefinementImpl14collectGarbageEv_ZN2cv25VariationalRefinementImplC2Ev_ZN2cv25VariationalRefinementImplC1Ev_ZN2cv25VariationalRefinementImpl18ParallelOp_ParBodyC2ERS0_St6vectorIMS0_FvPvS4_S4_ESaIS6_EERS3_IS4_SaIS4_EESB_SB__ZN2cv25VariationalRefinementImpl18ParallelOp_ParBodyC1ERS0_St6vectorIMS0_FvPvS4_S4_ESaIS6_EERS3_IS4_SaIS4_EESB_SB__ZN2cv25VariationalRefinementImpl9warpImageERNS_3MatES2_S2_S2__ZN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyC2ERS0_iiRNS0_14RedBlackBufferES4_b_ZN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyC1ERS0_iiRNS0_14RedBlackBufferES4_b_ZN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyC2ERS0_iiRNS0_14RedBlackBufferES4_S4_S4_b_ZN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyC1ERS0_iiRNS0_14RedBlackBufferES4_S4_S4_b_ZN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyC2ERS0_iiRNS0_14RedBlackBufferES4_b_ZN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyC1ERS0_iiRNS0_14RedBlackBufferES4_b_ZN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyC2ERS0_iiRNS0_14RedBlackBufferES4_b_ZN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyC1ERS0_iiRNS0_14RedBlackBufferES4_b_ZN2cv7MatExprD2Ev_ZN2cv7MatExprD1Ev_ZN2cv21VariationalRefinement6createEv_ZTVSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZTISt19_Sp_make_shared_tag_ZNSt6vectorIPvSaIS0_EE19_M_emplace_back_auxIJS0_EEEvDpOT__ZNSt6vectorIPvSaIS0_EE19_M_emplace_back_auxIIS0_EEEvDpOT__ZNSt6vectorIMN2cv25VariationalRefinementImplEFvPvS2_S2_ESaIS4_EE19_M_emplace_back_auxIJS4_EEEvDpOT__ZNSt6vectorIMN2cv25VariationalRefinementImplEFvPvS2_S2_ESaIS4_EE19_M_emplace_back_auxIIS4_EEEvDpOT__ZN2cv25VariationalRefinementImpl14prepareBuffersERNS_3MatES2_S2_S2__ZN2cv25VariationalRefinementImpl6calcUVERKNS_11_InputArrayES3_RKNS_17_InputOutputArrayES6__ZN2cv25VariationalRefinementImpl4calcERKNS_11_InputArrayES3_RKNS_17_InputOutputArrayE_ZTSSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTISt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTSSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTISt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE_ZTSN2cv16DenseOpticalFlowE_ZTIN2cv16DenseOpticalFlowE_ZTSN2cv21VariationalRefinementE_ZTIN2cv21VariationalRefinementE_ZTSN2cv25VariationalRefinementImpl18ParallelOp_ParBodyE_ZTIN2cv25VariationalRefinementImpl18ParallelOp_ParBodyE_ZTSN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyE_ZTIN2cv25VariationalRefinementImpl23ComputeDataTerm_ParBodyE_ZTSN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyE_ZTIN2cv25VariationalRefinementImpl36ComputeSmoothnessTermHorPass_ParBodyE_ZTSN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyE_ZTIN2cv25VariationalRefinementImpl37ComputeSmoothnessTermVertPass_ParBodyE_ZTSN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyE_ZTIN2cv25VariationalRefinementImpl19RedBlackSOR_ParBodyE_ZTSN2cv25VariationalRefinementImplE_ZTIN2cv25VariationalRefinementImplE_ZTSSt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZTISt23_Sp_counted_ptr_inplaceIN2cv25VariationalRefinementImplESaIS1_ELN9__gnu_cxx12_Lock_policyE2EE_ZZN2cv25VariationalRefinementImpl10subtractOpEPvS1_S1_E31__cv_trace_location_extra_fn156_ZZN2cv25VariationalRefinementImpl9averageOpEPvS1_S1_E31__cv_trace_location_extra_fn150_ZZN2cv25VariationalRefinementImpl18gradVertAndSplitOpEPvS1_S1_E31__cv_trace_location_extra_fn143_ZZN2cv25VariationalRefinementImpl19gradHorizAndSplitOpEPvS1_S1_E31__cv_trace_location_extra_fn136_ZN2cv3ocl5video12pyrlk_oclsrcE_ZN2cv3ocl5video29optical_flow_farneback_oclsrcE_ZN2cv3ocl5video15dis_flow_oclsrcE_ZN2cv3ocl5video16bgfg_mog2_oclsrcE_ZN2cv3ocl5video15bgfg_knn_oclsrcE//                                              104       `
optical_flow_io.cpp.o/
bgfg_gaussmix2.cpp.o/
variational_refinement.cpp.o/
opencl_kernels_video.cpp.o/
 
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ELF>L@@DA  ;basic_string::_M_construct null not valid/home/cc/install/opencv-4.2.0/modules/video/src/ecc.cppBoth input images must have the same data typewarpMatrix must be single-channel floating-point matrixmotionType == MOTION_AFFINE || motionType == MOTION_HOMOGRAPHY || motionType == MOTION_EUCLIDEAN || motionType == MOTION_TRANSLATIONcriteria.type & TermCriteria::COUNT || criteria.type & TermCriteria::EPSThe algorithm stopped before its convergence. The correlation is going to be minimized. Images may be uncorrelated or non-overlappedmap_matrix.rows == 3 && update.rows == 8map_matrix.rows == 2 && update.rows == 6map_matrix.rows == 2 && update.rows == 3map_matrix.rows == 2 && update.rows == 2Images must have 8uC1 or 32fC1 typeAUATLgUSHƒìL‰'dH‹%(H‰D$1ÀH…ö„–H‰ûH‰÷I‰õèHƒøH‰ÅH‰ÂH‰$w8HƒøtbH…íL‰àuzH‰SÆH‹D$dH3%(ugHƒÄ[]A\A]ÀH‰ßH‰æ1ÒèH‰ÇH‰H‹$H‰CH‰êL‰îèH‹$H‹말A¶EˆCL‰àë™H=è@L‰çëÆèSH‹G8H‰ûH…Àt ðƒhuè‹CHÇC8HÇCHÇC(HÇC HÇC…À~H‹S@1ÀfÇƒÀHƒÂ9CîH‹{HHƒÃPH9ßt    [é[Ãÿÿsrc1.rows == src2.rows(src1.cols % src2.cols) == 0dst.cols == dst.rowssrc1.rows == dst.rowsdst.cols == (src1.cols*8)dst.type() == CV_32FC1src5.isContinuous()src1.size() == src2.size()src1.size() == src3.size()src1.size() == src4.size()!templateImage.empty()!inputImage.empty()map.cols == 3map.rows == 2 || map.rows ==3map.rows ==3dst.cols == (6*src1.cols)dst.cols == (src1.cols*2)dst.cols == (src1.cols*3)NaN encountered.map_matrix.type() == CV_32FC1update.type() == CV_32FC1update.cols == 1map_matrix.isContinuous()update.isContinuous()!src.empty()!dst.empty()src1.size()==src2.size()src1.size()==src3.size()src1.size()==src4.size()AWAVH‰ñAUATUSHìè‹IH‰t$(H‰|$HdH‹4%(H‰´$Ø1ö9OH‰T$…"H‹D$(‹w D‹p ‰ð™A÷þ…Ò…ºH‹D$D9öL‹`„˜‹x…ÿŽdHŒ$Hœ$p1À1íH‰L$HŒ$€L{PH‰L$ H‹t$HH‹L$F,0H‹T$ H‰ß‰„$D‰¬$”Ç„$€€ƒÅDŽ$„ÿÿÿèH‹t$H‹|$(DŽ$ Ç„$¤Ç„$H‰œ$˜èfïÒH‹„$¨òZÐH…ÀóA$tðƒhuH‰ß苴$t1ÀHDŽ$¨HDŽ$€HDŽ$˜HDŽ$HDŽ$ˆ…öH‹”$°~€ÇƒÀHƒÂ9„$têH‹¼$¸L9ÿtèH‹L$IƒÄD‰è9iÆþÿÿH‹„$ØdH3%(…ïHÄè[]A\A]A^A_ËH ;H…™H„$°L´$pE1ífïÀHDŽ$ÀH‰ÇH‰D$H„$¸fo%H‰„$ðH‰øHDŽ$ÈHƒÀPHDŽ$ÐHDŽ$ØH‰„$ø‰ðHDŽ$à™HDŽ$è÷ùA9Í)¤$°)„$‰D$4‰D$DH„$H‰D$PH„$`H‰D$XIFPH‰D$8£‹L$DAEH‹t$HH‹|$PHT$`ÇD$`€‰D$@ÇD$dÿÿÿ‰È+D$4‰L$tHL$p‰D$pèH‹„$èH…Àt ðƒh„‹„$´…À~'H‹”$ð1À€ÇƒÀHƒÂ9„$´êfo„$H‹L$H‹¼$ø)„$°‹„$HQPfo„$ H9×)„$Àfo„$0)„$Ðfo„$@)„$àt/èH‹L$H‰ÈHƒÀPH‰„$øH‰ÈHƒÀH‰„$ð‹„$ƒø!H‹¼$XH;|$XfïÀfo-H‹H‰„$H‹G)¬$)„$ )„$0)„$@H‰„$tèL‹|$A‹G‰D$ƒÀA¯ÅH˜I„èH‹L$H‰Â¾DŽ$ Ç„$¤Ç„$H‰Œ$˜HŒ$H‰ÏH‰L$èòYÀA‹G 9D$@fïÛòZØó€HŒ$€‹l$D‹\$@H‰L$ DA¯Å‰¬$l$4H‹L$H‹T$ L‰÷H‹t$(DŽ$€€ØÇ„$„ÿÿÿH˜‰¬$”M<„C‰D$0èH‹t$H‹|$DŽ$ Ç„$¤Ç„$L‰´$˜èfïÉH‹„$¨òZÈH…ÀóAtðƒhuL‰÷苌$t1ÀHDŽ$¨HDŽ$€HDŽ$˜HDŽ$HDŽ$ˆ…ÉH‹”$°~@ǃÀHƒÂ9„$têH‹¼$¸H;|$8tèH‹D$D‰ê‹@ ¯ÐÚ¯ØHcÒóA”DëHcÛóAœ‹\$09ÃŒšþÿÿH‹D$D‹l$@‹t$4t$D‹HA9ÍŒ]üÿÿH‹„$èH…Àt ðƒh„ø‹”$´HDŽ$èHDŽ$ÀHDŽ$ØHDŽ$ÐHDŽ$ȅÒ~ H‹”$ð1ÀǃÀHƒÂ9„$´êH‹D$H‹¼$øHƒÀPH9Ç„¸úÿÿèé®úÿÿH‹„$XH‰„$øH‹„$PH‰„$ðéýÿÿH‹|$èéàûÿÿHœ$pH5H‰ßèH HA¸ÛH‰Þ¿)ÿÿÿèH‹|$èéùþÿÿHœ$pH5H‰ßèH HA¸éH‰Þ¿)ÿÿÿèèH‹¼$pHƒÃH‰ÅH9ßtèH‰ïèH‰ßH‰ÅèëëHœ$pH5H‰ßèH HA¸ÜH‰Þ¿)ÿÿÿèH‹|$PH‰ÃèH‹|$èH‰ßèL‰÷H‰ÃèëáéiÿÿÿH‰Ãë×é_ÿÿÿÿÿPᙉ§ÿ×΀    Úÿ íÚÎö—ú½Þè„)É„èH‹G8SH‰ûH…Àt ðƒhuè‹CHÇC8HÇCHÇC(HÇC HÇC…À~H‹S@1ÀfÇƒÀHƒÂ9Cî[ÃUHGSH‰û¹ÿÿÿÿHƒìH‰G@HGPÇÿBÇGH‰ÚH‰GHÇGÇG HÇGHÇGHÇG HÇG(HÇG0HÇG8HÇGPHÇGXH‹>H‹ÿPHƒÄH‰Ø[]ÃH‰ÅH‰ßèH‰ïèÿÿ ‚SH‹‡H‰ûH…Àtðƒhu H¿Ð苋ÔHǃHǃàHǃøHǃðHǃè…É~!H‹“1ÀǃÀHƒÂ9ƒÔëH‹»Hƒ H9ÇtèH‹ƒ¨H…Àtðƒhu    H{pè‹StHǃ¨Hǃ€Hǃ˜HǃHǃˆ…Ò~H‹“°1ÀǃÀHƒÂ9CtîH‹»¸HƒÀH9ÇtèH‹CHH…Àtðƒhu    H{è‹CHÇCHHÇC HÇC8HÇC0HÇC(…À~ H‹SP1À„ǃÀHƒÂ9CîH‹{XHƒÃ`H9ßt    [é[ÃÿÿAWAVAUATUSHì8!H‹G@H‰L$H‰T$dH‹ %(H‰Œ$(!1ÉH‹N@‹‹@H‰|$hH‰´$ˆL‰ $9Au9t;Hœ$ÀH5H‰ßèH HA¸9H‰Þ¿)ÿÿÿèH‹L$H‹I@9Au9t>Hœ$ÀH5H‰ßèH HA¸:H‰Þ¿)ÿÿÿèfDH‹t$H‹N@9Au9t>Hœ$ÀH5H‰ßèH HA¸;H‰Þ¿)ÿÿÿèfDA‹q9wL‰É…?<‹A ‰Á‰D$|H‹D$h‹h í9Á…%:H‹$‹‰D$%ÿƒø…Í9A÷@„í8I‹@H‹t$óóX ó`óhópó@óxóT$8óPH„$HDŽ$Hó\$XHDŽ$PòH‰ÇH‰ÃóZÀH‰D$ ód$HDŽ$Xól$Hó´$€ó|$Pó”$„òœ$@èfïÀH„$ H‹t$H‰ÇI‰ÇH‰D$@óZD$èH„$`H‰ÚL‰þH‰ÇH‰D$(H‰ÃèH„$ÀHŒ$@H‰ÞH‰ÊH‰ÇH‰D$H‰L$0H‰ÃèH„$ÀH‹¼$ÀDŽ$ÀÿBDŽ$ÄDŽ$ȹÿÿÿÿH‰ÂH‰D$`H„$ÈDŽ$ÌHDŽ$ÐH‰ÞH‰„$H‰ÐHDŽ$ØHƒÀPHDŽ$àHDŽ$èH‰„$H‹HDŽ$ðHDŽ$øHDŽ$HDŽ$ÿPH‹|$L¼$À    èH‹|$(èH‹|$@èH‹|$ èfïíH‹t$fïÀL‰ÿHDŽ$ÈHDŽ$ÐóZl$PHDŽ$ØóZD$Hò¬$ÀèfïÉHœ$H‹t$H‰ßóZL$8òL$8èL¤$`òD$8H‰ÞL‰çèL¬$  L‰úL‰æL‰ïèL´$€ H‹T$L‰îL‰÷èH„$ H‹¼$€ DŽ$ ÿBDŽ$$DŽ$(¹ÿÿÿÿH‰ÂH‰D$PH„$(DŽ$,HDŽ$0L‰öH‰„$`H‰ÐHDŽ$8HƒÀPHDŽ$@HDŽ$HH‰„$hH‹HDŽ$PHDŽ$XHDŽ$pHDŽ$xÿPH‹„$ˆ H…Àtðƒhu I¾Ð苄$T HDŽ$ˆ HDŽ$` HDŽ$x HDŽ$p HDŽ$h …À~%H‹”$ 1ÀDǃÀHƒÂ9„$T êH‹¼$˜ I† H9ÇtèH‹„$( H…Àtðƒhu    I~p苄$ô HDŽ$( HDŽ$ HDŽ$ HDŽ$ HDŽ$ …À~#H‹”$0 1ÀǃÀHƒÂ9„$ô êH‹¼$8 I†ÀH9ÇtèH‹„$È H…Àtðƒhu    I~苄$” HDŽ$È HDŽ$  HDŽ$¸ HDŽ$° HDŽ$¨ …À~#H‹”$Ð 1ÀǃÀHƒÂ9„$” êH‹¼$Ø IƒÆ`L9÷tèH‹„$( H…Àtðƒhu I½Ð苄$ô HDŽ$( HDŽ$ HDŽ$ HDŽ$ HDŽ$ …À~#H‹”$0 1ÀǃÀHƒÂ9„$ô êH‹¼$8 I… H9ÇtèH‹„$È H…Àtðƒhu    I}p苄$” HDŽ$È HDŽ$  HDŽ$¸ HDŽ$° HDŽ$¨ …À~#H‹”$Ð 1ÀǃÀHƒÂ9„$” êH‹¼$Ø I…ÀH9ÇtèH‹„$h H…Àtðƒhu    I}èD‹´$4 1ÀHDŽ$h HDŽ$@ HDŽ$X HDŽ$P HDŽ$H E…öH‹”$p ~f„ǃÀHƒÂ9„$4 êH‹¼$x IƒÅ`L9ïtèH‹„$h    H…Àtðƒhu I¼$ÐèD‹¬$4    1ÀHDŽ$h    HDŽ$@    HDŽ$X    HDŽ$P    HDŽ$H    E…íH‹”$p    ~ǃÀHƒÂ9„$4    êH‹¼$x    I„$ H9ÇtèH‹„$    H…Àtðƒhu
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ELF>h¾@@videopyrlkoptical_flow_farnebackdis_flowbgfg_mog2bgfg_knn#define GRIDSIZE    3
#define LSx 8
#define LSy 8
#define LM_W (LSx*GRIDSIZE+2)
#define LM_H (LSy*GRIDSIZE+2)
#define BUFFER  (LSx*LSy)
#define BUFFER2 BUFFER>>1
#ifdef CPU
inline void reduce3(float val1, float val2, float val3,  __local float* smem1,  __local float* smem2,  __local float* smem3, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
smem3[tid] = val3;
barrier(CLK_LOCAL_MEM_FENCE);
for(int i = BUFFER2; i > 0; i >>= 1)
{
if(tid < i)
{
smem1[tid] += smem1[tid + i];
smem2[tid] += smem2[tid + i];
smem3[tid] += smem3[tid + i];
}
barrier(CLK_LOCAL_MEM_FENCE);
}
}
inline void reduce2(float val1, float val2, __local float* smem1, __local float* smem2, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
barrier(CLK_LOCAL_MEM_FENCE);
for(int i = BUFFER2; i > 0; i >>= 1)
{
if(tid < i)
{
smem1[tid] += smem1[tid + i];
smem2[tid] += smem2[tid + i];
}
barrier(CLK_LOCAL_MEM_FENCE);
}
}
inline void reduce1(float val1, __local float* smem1, int tid)
{
smem1[tid] = val1;
barrier(CLK_LOCAL_MEM_FENCE);
for(int i = BUFFER2; i > 0; i >>= 1)
{
if(tid < i)
{
smem1[tid] += smem1[tid + i];
}
barrier(CLK_LOCAL_MEM_FENCE);
}
}
#else
inline void reduce3(float val1, float val2, float val3,
__local float* smem1, __local float* smem2, __local float* smem3, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
smem3[tid] = val3;
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 32)
{
smem1[tid] += smem1[tid + 32];
smem2[tid] += smem2[tid + 32];
smem3[tid] += smem3[tid + 32];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
smem1[tid] += smem1[tid + 16];
smem2[tid] += smem2[tid + 16];
smem3[tid] += smem3[tid + 16];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
smem1[tid] += smem1[tid + 8];
smem2[tid] += smem2[tid + 8];
smem3[tid] += smem3[tid + 8];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
smem1[tid] += smem1[tid + 4];
smem2[tid] += smem2[tid + 4];
smem3[tid] += smem3[tid + 4];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid == 0)
{
smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]);
smem2[0] = (smem2[0] + smem2[1]) + (smem2[2] + smem2[3]);
smem3[0] = (smem3[0] + smem3[1]) + (smem3[2] + smem3[3]);
}
barrier(CLK_LOCAL_MEM_FENCE);
}
inline void reduce2(float val1, float val2, __local float* smem1, __local float* smem2, int tid)
{
smem1[tid] = val1;
smem2[tid] = val2;
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 32)
{
smem1[tid] += smem1[tid + 32];
smem2[tid] += smem2[tid + 32];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
smem1[tid] += smem1[tid + 16];
smem2[tid] += smem2[tid + 16];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
smem1[tid] += smem1[tid + 8];
smem2[tid] += smem2[tid + 8];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
smem1[tid] += smem1[tid + 4];
smem2[tid] += smem2[tid + 4];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid == 0)
{
smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]);
smem2[0] = (smem2[0] + smem2[1]) + (smem2[2] + smem2[3]);
}
barrier(CLK_LOCAL_MEM_FENCE);
}
inline void reduce1(float val1, __local float* smem1, int tid)
{
smem1[tid] = val1;
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 32)
{
smem1[tid] += smem1[tid + 32];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 16)
{
smem1[tid] += smem1[tid + 16];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 8)
{
smem1[tid] += smem1[tid + 8];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid < 4)
{
smem1[tid] += smem1[tid + 4];
}
barrier(CLK_LOCAL_MEM_FENCE);
if (tid == 0)
{
smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]);
}
barrier(CLK_LOCAL_MEM_FENCE);
}
#endif
#define SCALE (1.0f / (1 << 20))
#define  THRESHOLD  0.01f
__constant sampler_t sampler    = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_LINEAR;
#define VAL(_y,_x,_yy,_xx)    (IPatchLocal[mad24(((_y) + (_yy)), LM_W, ((_x) + (_xx)))])
inline void SetPatch(local float* IPatchLocal, int TileY, int TileX,
float* Pch, float* Dx, float* Dy,
float* A11, float* A12, float* A22, float w)
{
int xid=get_local_id(0);
int yid=get_local_id(1);
int xBase = mad24(TileX, LSx, (xid + 1));
int yBase = mad24(TileY, LSy, (yid + 1));
*Pch = VAL(yBase,xBase,0,0);
*Dx = mad((VAL(yBase,xBase,-1,1) + VAL(yBase,xBase,+1,1) - VAL(yBase,xBase,-1,-1) - VAL(yBase,xBase,+1,-1)), 3.0f, (VAL(yBase,xBase,0,1) - VAL(yBase,xBase,0,-1)) * 10.0f) * w;
*Dy = mad((VAL(yBase,xBase,1,-1) + VAL(yBase,xBase,1,+1) - VAL(yBase,xBase,-1,-1) - VAL(yBase,xBase,-1,+1)), 3.0f, (VAL(yBase,xBase,1,0) - VAL(yBase,xBase,-1,0)) * 10.0f) * w;
*A11 = mad(*Dx, *Dx, *A11);
*A12 = mad(*Dx, *Dy, *A12);
*A22 = mad(*Dy, *Dy, *A22);
}
#undef VAL
inline void GetPatch(image2d_t J, float x, float y,
float* Pch, float* Dx, float* Dy,
float* b1, float* b2)
{
float diff = read_imagef(J, sampler, (float2)(x,y)).x-*Pch;
*b1 = mad(diff, *Dx, *b1);
*b2 = mad(diff, *Dy, *b2);
}
inline void GetError(image2d_t J, const float x, const float y, const float* Pch, float* errval, float w)
{
float diff = ((((read_imagef(J, sampler, (float2)(x,y)).x * 16384) + 256) / 512) - (((*Pch * 16384) + 256) /512)) * w;
*errval += fabs(diff);
}
#define READI(_y,_x) IPatchLocal[mad24(mad24((_y), LSy, yid), LM_W, mad24((_x), LSx, xid))] = read_imagef(I, sampler, (float2)(mad((float)(_x), (float)LSx, Point.x + xid - 0.5f), mad((float)(_y), (float)LSy, Point.y + yid - 0.5f))).x;
void ReadPatchIToLocalMem(image2d_t I, float2 Point, local float* IPatchLocal)
{
int xid=get_local_id(0);
int yid=get_local_id(1);
READI(0,0);READI(0,1);READI(0,2);
READI(1,0);READI(1,1);READI(1,2);
READI(2,0);READI(2,1);READI(2,2);
if(xid<2)
{
READI(0,3);
READI(1,3);
READI(2,3);
}
if(yid<2)
{
READI(3,0);READI(3,1);READI(3,2);
}
if(yid<2 && xid<2)
{
READI(3,3);
}
barrier(CLK_LOCAL_MEM_FENCE);
}
#undef READI
__attribute__((reqd_work_group_size(LSx, LSy, 1)))
__kernel void lkSparse(image2d_t I, image2d_t J,
__global const float2* prevPts, __global float2* nextPts, __global uchar* status, __global float* err,
const int level, const int rows, const int cols, int PATCH_X, int PATCH_Y, int c_winSize_x, int c_winSize_y, int c_iters, char calcErr)
{
__local float smem1[BUFFER];
__local float smem2[BUFFER];
__local float smem3[BUFFER];
int xid=get_local_id(0);
int yid=get_local_id(1);
int gid=get_group_id(0);
int xsize=get_local_size(0);
int ysize=get_local_size(1);
int k;
#ifdef CPU
float wx0 = 1.0f;
float wy0 = 1.0f;
int xBase = mad24(xsize, 2, xid);
int yBase = mad24(ysize, 2, yid);
float wx1 = (xBase < c_winSize_x) ? 1 : 0;
float wy1 = (yBase < c_winSize_y) ? 1 : 0;
#else
#if WSX == 1
float wx0 = 1.0f;
int xBase = mad24(xsize, 2, xid);
float wx1 = (xBase < c_winSize_x) ? 1 : 0;
#else
int xBase = mad24(xsize, 1, xid);
float wx0 = (xBase < c_winSize_x) ? 1 : 0;
float wx1 = 0.0f;
#endif
#if WSY == 1
float wy0 = 1.0f;
int yBase = mad24(ysize, 2, yid);
float wy1 = (yBase < c_winSize_y) ? 1 : 0;
#else
int yBase = mad24(ysize, 1, yid);
float wy0 = (yBase < c_winSize_y) ? 1 : 0;
float wy1 = 0.0f;
#endif
#endif
float2 c_halfWin = (float2)((c_winSize_x - 1)>>1, (c_winSize_y - 1)>>1);
const int tid = mad24(yid, xsize, xid);
float2 prevPt = prevPts[gid] / (float2)(1 << level);
if (prevPt.x < 0 || prevPt.x >= cols || prevPt.y < 0 || prevPt.y >= rows)
{
if (tid == 0 && level == 0)
{
status[gid] = 0;
}
return;
}
prevPt -= c_halfWin;
float A11 = 0;
float A12 = 0;
float A22 = 0;
float I_patch[GRIDSIZE][GRIDSIZE];
float dIdx_patch[GRIDSIZE][GRIDSIZE];
float dIdy_patch[GRIDSIZE][GRIDSIZE];
local float IPatchLocal[LM_W*LM_H];
ReadPatchIToLocalMem(I,prevPt,IPatchLocal);
{
SetPatch(IPatchLocal, 0, 0,
&I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0],
&A11, &A12, &A22,1);
SetPatch(IPatchLocal, 0, 1,
&I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1],
&A11, &A12, &A22,wx0);
SetPatch(IPatchLocal, 0, 2,
&I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2],
&A11, &A12, &A22,wx1);
}
{
SetPatch(IPatchLocal, 1, 0,
&I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0],
&A11, &A12, &A22,wy0);
SetPatch(IPatchLocal, 1,1,
&I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1],
&A11, &A12, &A22,wx0*wy0);
SetPatch(IPatchLocal, 1,2,
&I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2],
&A11, &A12, &A22,wx1*wy0);
}
{
SetPatch(IPatchLocal, 2,0,
&I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0],
&A11, &A12, &A22,wy1);
SetPatch(IPatchLocal, 2,1,
&I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1],
&A11, &A12, &A22,wx0*wy1);
SetPatch(IPatchLocal, 2,2,
&I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2],
&A11, &A12, &A22,wx1*wy1);
}
reduce3(A11, A12, A22, smem1, smem2, smem3, tid);
A11 = smem1[0];
A12 = smem2[0];
A22 = smem3[0];
barrier(CLK_LOCAL_MEM_FENCE);
float D = mad(A11, A22, - A12 * A12);
if (D < 1.192092896e-07f)
{
if (tid == 0 && level == 0)
status[gid] = 0;
return;
}
A11 /= D;
A12 /= D;
A22 /= D;
prevPt = mad(nextPts[gid], 2.0f, - c_halfWin);
float2 offset0 = (float2)(xid + 0.5f, yid + 0.5f);
float2 offset1 = (float2)(xsize, ysize);
float2 loc0 = prevPt + offset0;
float2 loc1 = loc0 + offset1;
float2 loc2 = loc1 + offset1;
for (k = 0; k < c_iters; ++k)
{
if (prevPt.x < -c_halfWin.x || prevPt.x >= cols || prevPt.y < -c_halfWin.y || prevPt.y >= rows)
{
if (tid == 0 && level == 0)
status[gid] = 0;
break;
}
float b1 = 0;
float b2 = 0;
{
GetPatch(J, loc0.x, loc0.y,
&I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0],
&b1, &b2);
GetPatch(J, loc1.x, loc0.y,
&I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1],
&b1, &b2);
GetPatch(J, loc2.x, loc0.y,
&I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2],
&b1, &b2);
}
{
GetPatch(J, loc0.x, loc1.y,
&I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0],
&b1, &b2);
GetPatch(J, loc1.x, loc1.y,
&I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1],
&b1, &b2);
GetPatch(J, loc2.x, loc1.y,
&I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2],
&b1, &b2);
}
{
GetPatch(J, loc0.x, loc2.y,
&I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0],
&b1, &b2);
GetPatch(J, loc1.x, loc2.y,
&I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1],
&b1, &b2);
GetPatch(J, loc2.x, loc2.y,
&I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2],
&b1, &b2);
}
reduce2(b1, b2, smem1, smem2, tid);
b1 = smem1[0];
b2 = smem2[0];
barrier(CLK_LOCAL_MEM_FENCE);
float2 delta;
delta.x = mad(A12, b2, - A22 * b1) * 32.0f;
delta.y = mad(A12, b1, - A11 * b2) * 32.0f;
prevPt += delta;
loc0 += delta;
loc1 += delta;
loc2 += delta;
if (fabs(delta.x) < THRESHOLD && fabs(delta.y) < THRESHOLD)
break;
}
D = 0.0f;
if (calcErr)
{
{
GetError(J, loc0.x, loc0.y, &I_patch[0][0], &D, 1);
GetError(J, loc1.x, loc0.y, &I_patch[0][1], &D, wx0);
}
{
GetError(J, loc0.x, loc1.y, &I_patch[1][0], &D, wy0);
GetError(J, loc1.x, loc1.y, &I_patch[1][1], &D, wx0*wy0);
}
if(xBase < c_winSize_x)
{
GetError(J, loc2.x, loc0.y, &I_patch[0][2], &D, wx1);
GetError(J, loc2.x, loc1.y, &I_patch[1][2], &D, wx1*wy0);
}
if(yBase < c_winSize_y)
{
GetError(J, loc0.x, loc2.y, &I_patch[2][0], &D, wy1);
GetError(J, loc1.x, loc2.y, &I_patch[2][1], &D, wx0*wy1);
if(xBase < c_winSize_x)
GetError(J, loc2.x, loc2.y, &I_patch[2][2], &D, wx1*wy1);
}
reduce1(D, smem1, tid);
}
if (tid == 0)
{
prevPt += c_halfWin;
nextPts[gid] = prevPt;
if (calcErr)
err[gid] = smem1[0] / (float)(32 * c_winSize_x * c_winSize_y);
}
}
fa578a4fdcd31c3e32eedab3e323ac05#define tx  (int)get_local_id(0)
#define ty  get_local_id(1)
#define bx  get_group_id(0)
#define bdx (int)get_local_size(0)
#define BORDER_SIZE 5
#define MAX_KSIZE_HALF 100
#ifndef polyN
#define polyN 5
#endif
#if USE_DOUBLE
#ifdef cl_amd_fp64
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#elif defined (cl_khr_fp64)
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
#define TYPE double
#define VECTYPE double4
#else
#define TYPE float
#define VECTYPE float4
#endif
__kernel void polynomialExpansion(__global __const float * src, int srcStep,
__global float * dst, int dstStep,
const int rows, const  int cols,
__global __const float * c_g,
__global __const float * c_xg,
__global __const float * c_xxg,
__local float * smem,
const VECTYPE ig)
{
const int y = get_global_id(1);
const int x = bx * (bdx - 2*polyN) + tx - polyN;
int xWarped;
__local float *row = smem + tx;
if (y < rows && y >= 0)
{
xWarped = min(max(x, 0), cols - 1);
row[0] = src[mad24(y, srcStep, xWarped)] * c_g[0];
row[bdx] = 0.f;
row[2*bdx] = 0.f;
#pragma unroll
for (int k = 1; k <= polyN; ++k)
{
float t0 = src[mad24(max(y - k, 0), srcStep, xWarped)];
float t1 = src[mad24(min(y + k, rows - 1), srcStep, xWarped)];
row[0] += c_g[k] * (t0 + t1);
row[bdx] += c_xg[k] * (t1 - t0);
row[2*bdx] += c_xxg[k] * (t0 + t1);
}
}
barrier(CLK_LOCAL_MEM_FENCE);
if (y < rows && y >= 0 && tx >= polyN && tx + polyN < bdx && x < cols)
{
TYPE b1 = c_g[0] * row[0];
TYPE b3 = c_g[0] * row[bdx];
TYPE b5 = c_g[0] * row[2*bdx];
TYPE b2 = 0, b4 = 0, b6 = 0;
#pragma unroll
for (int k = 1; k <= polyN; ++k)
{
b1 += (row[k] + row[-k]) * c_g[k];
b4 += (row[k] + row[-k]) * c_xxg[k];
b2 += (row[k] - row[-k]) * c_xg[k];
b3 += (row[k + bdx] + row[-k + bdx]) * c_g[k];
b6 += (row[k + bdx] - row[-k + bdx]) * c_xg[k];
b5 += (row[k + 2*bdx] + row[-k + 2*bdx]) * c_g[k];
}
dst[mad24(y, dstStep, xWarped)] = (float)(b3*ig.s0);
dst[mad24(rows + y, dstStep, xWarped)] = (float)(b2*ig.s0);
dst[mad24(2*rows + y, dstStep, xWarped)] = (float)(b1*ig.s1 + b5*ig.s2);
dst[mad24(3*rows + y, dstStep, xWarped)] = (float)(b1*ig.s1 + b4*ig.s2);
dst[mad24(4*rows + y, dstStep, xWarped)] = (float)(b6*ig.s3);
}
}
inline int idx_row_low(const int y, const int last_row)
{
return abs(y) % (last_row + 1);
}
inline int idx_row_high(const int y, const int last_row)
{
return abs(last_row - abs(last_row - y)) % (last_row + 1);
}
inline int idx_col_low(const int x, const int last_col)
{
return abs(x) % (last_col + 1);
}
inline int idx_col_high(const int x, const int last_col)
{
return abs(last_col - abs(last_col - x)) % (last_col + 1);
}
inline int idx_col(const int x, const int last_col)
{
return idx_col_low(idx_col_high(x, last_col), last_col);
}
__kernel void gaussianBlur(__global const float * src, int srcStep,
__global float * dst, int dstStep, const int rows, const  int cols,
__global const float * c_gKer, const int ksizeHalf,
__local float * smem)
{
const int y = get_global_id(1);
const int x = get_global_id(0);
__local float *row = smem + ty * (bdx + 2*ksizeHalf);
if (y < rows)
{
for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)
{
int xExt = (int)(bx * bdx) + i - ksizeHalf;
xExt = idx_col(xExt, cols - 1);
row[i] = src[mad24(y, srcStep, xExt)] * c_gKer[0];
for (int j = 1; j <= ksizeHalf; ++j)
row[i] += (src[mad24(idx_row_low(y - j, rows - 1), srcStep, xExt)]
+ src[mad24(idx_row_high(y + j, rows - 1), srcStep, xExt)]) * c_gKer[j];
}
}
barrier(CLK_LOCAL_MEM_FENCE);
if (y < rows && y >= 0 && x < cols && x >= 0)
{
row += tx + ksizeHalf;
float res = row[0] * c_gKer[0];
for (int i = 1; i <= ksizeHalf; ++i)
res += (row[-i] + row[i]) * c_gKer[i];
dst[mad24(y, dstStep, x)] = res;
}
}
__kernel void gaussianBlur5(__global const float * src, int srcStep,
__global float * dst, int dstStep,
const int rows, const  int cols,
__global const float * c_gKer, const int ksizeHalf,
__local float * smem)
{
const int y = get_global_id(1);
const int x = get_global_id(0);
const int smw = bdx + 2*ksizeHalf;
__local volatile float *row = smem + 5 * ty * smw;
if (y < rows)
{
for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)
{
int xExt = (int)(bx * bdx) + i - ksizeHalf;
xExt = idx_col(xExt, cols - 1);
#pragma unroll
for (int k = 0; k < 5; ++k)
row[k*smw + i] = src[mad24(k*rows + y, srcStep, xExt)] * c_gKer[0];
for (int j = 1; j <= ksizeHalf; ++j)
#pragma unroll
for (int k = 0; k < 5; ++k)
row[k*smw + i] +=
(src[mad24(k*rows + idx_row_low(y - j, rows - 1), srcStep, xExt)] +
src[mad24(k*rows + idx_row_high(y + j, rows - 1), srcStep, xExt)]) * c_gKer[j];
}
}
barrier(CLK_LOCAL_MEM_FENCE);
if (y < rows && y >= 0 && x < cols && x >= 0)
{
row += tx + ksizeHalf;
float res[5];
#pragma unroll
for (int k = 0; k < 5; ++k)
res[k] = row[k*smw] * c_gKer[0];
for (int i = 1; i <= ksizeHalf; ++i)
#pragma unroll
for (int k = 0; k < 5; ++k)
res[k] += (row[k*smw - i] + row[k*smw + i]) * c_gKer[i];
#pragma unroll
for (int k = 0; k < 5; ++k)
dst[mad24(k*rows + y, dstStep, x)] = res[k];
}
}
__constant float c_border[BORDER_SIZE + 1] = { 0.14f, 0.14f, 0.4472f, 0.4472f, 0.4472f, 1.f };
__kernel void updateMatrices(__global const float * flowx, int xStep,
__global const float * flowy, int yStep,
const int rows, const int cols,
__global const float * R0, int R0Step,
__global const float * R1, int R1Step,
__global float * M, int mStep)
{
const int y = get_global_id(1);
const int x = get_global_id(0);
if (y < rows && y >= 0 && x < cols && x >= 0)
{
float dx = flowx[mad24(y, xStep, x)];
float dy = flowy[mad24(y, yStep, x)];
float fx = x + dx;
float fy = y + dy;
int x1 = convert_int(floor(fx));
int y1 = convert_int(floor(fy));
fx -= x1;
fy -= y1;
float r2, r3, r4, r5, r6;
if (x1 >= 0 && y1 >= 0 && x1 < cols - 1 && y1 < rows - 1)
{
float a00 = (1.f - fx) * (1.f - fy);
float a01 = fx * (1.f - fy);
float a10 = (1.f - fx) * fy;
float a11 = fx * fy;
r2 = a00 * R1[mad24(y1, R1Step, x1)] +
a01 * R1[mad24(y1, R1Step, x1 + 1)] +
a10 * R1[mad24(y1 + 1, R1Step, x1)] +
a11 * R1[mad24(y1 + 1, R1Step, x1 + 1)];
r3 = a00 * R1[mad24(rows + y1, R1Step, x1)] +
a01 * R1[mad24(rows + y1, R1Step, x1 + 1)] +
a10 * R1[mad24(rows + y1 + 1, R1Step, x1)] +
a11 * R1[mad24(rows + y1 + 1, R1Step, x1 + 1)];
r4 = a00 * R1[mad24(2*rows + y1, R1Step, x1)] +
a01 * R1[mad24(2*rows + y1, R1Step, x1 + 1)] +
a10 * R1[mad24(2*rows + y1 + 1, R1Step, x1)] +
a11 * R1[mad24(2*rows + y1 + 1, R1Step, x1 + 1)];
r5 = a00 * R1[mad24(3*rows + y1, R1Step, x1)] +
a01 * R1[mad24(3*rows + y1, R1Step, x1 + 1)] +
a10 * R1[mad24(3*rows + y1 + 1, R1Step, x1)] +
a11 * R1[mad24(3*rows + y1 + 1, R1Step, x1 + 1)];
r6 = a00 * R1[mad24(4*rows + y1, R1Step, x1)] +
a01 * R1[mad24(4*rows + y1, R1Step, x1 + 1)] +
a10 * R1[mad24(4*rows + y1 + 1, R1Step, x1)] +
a11 * R1[mad24(4*rows + y1 + 1, R1Step, x1 + 1)];
r4 = (R0[mad24(2*rows + y, R0Step, x)] + r4) * 0.5f;
r5 = (R0[mad24(3*rows + y, R0Step, x)] + r5) * 0.5f;
r6 = (R0[mad24(4*rows + y, R0Step, x)] + r6) * 0.25f;
}
else
{
r2 = r3 = 0.f;
r4 = R0[mad24(2*rows + y, R0Step, x)];
r5 = R0[mad24(3*rows + y, R0Step, x)];
r6 = R0[mad24(4*rows + y, R0Step, x)] * 0.5f;
}
r2 = (R0[mad24(y, R0Step, x)] - r2) * 0.5f;
r3 = (R0[mad24(rows + y, R0Step, x)] - r3) * 0.5f;
r2 += r4*dy + r6*dx;
r3 += r6*dy + r5*dx;
float scale =
c_border[min(x, BORDER_SIZE)] *
c_border[min(y, BORDER_SIZE)] *
c_border[min(cols - x - 1, BORDER_SIZE)] *
c_border[min(rows - y - 1, BORDER_SIZE)];
r2 *= scale;
r3 *= scale;
r4 *= scale;
r5 *= scale;
r6 *= scale;
M[mad24(y, mStep, x)] = r4*r4 + r6*r6;
M[mad24(rows + y, mStep, x)] = (r4 + r5)*r6;
M[mad24(2*rows + y, mStep, x)] = r5*r5 + r6*r6;
M[mad24(3*rows + y, mStep, x)] = r4*r2 + r6*r3;
M[mad24(4*rows + y, mStep, x)] = r6*r2 + r5*r3;
}
}
__kernel void boxFilter5(__global const float * src, int srcStep,
__global float * dst, int dstStep,
const int rows, const  int cols,
const int ksizeHalf,
__local float * smem)
{
const int y = get_global_id(1);
const int x = get_global_id(0);
const float boxAreaInv = 1.f / ((1 + 2*ksizeHalf) * (1 + 2*ksizeHalf));
const int smw = bdx + 2*ksizeHalf;
__local float *row = smem + 5 * ty * smw;
if (y < rows)
{
for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)
{
int xExt = (int)(bx * bdx) + i - ksizeHalf;
xExt = min(max(xExt, 0), cols - 1);
#pragma unroll
for (int k = 0; k < 5; ++k)
row[k*smw + i] = src[mad24(k*rows + y, srcStep, xExt)];
for (int j = 1; j <= ksizeHalf; ++j)
#pragma unroll
for (int k = 0; k < 5; ++k)
row[k*smw + i] +=
src[mad24(k*rows + max(y - j, 0), srcStep, xExt)] +
src[mad24(k*rows + min(y + j, rows - 1), srcStep, xExt)];
}
}
barrier(CLK_LOCAL_MEM_FENCE);
if (y < rows && y >= 0 && x < cols && x >= 0)
{
row += tx + ksizeHalf;
float res[5];
#pragma unroll
for (int k = 0; k < 5; ++k)
res[k] = row[k*smw];
for (int i = 1; i <= ksizeHalf; ++i)
#pragma unroll
for (int k = 0; k < 5; ++k)
res[k] += row[k*smw - i] + row[k*smw + i];
#pragma unroll
for (int k = 0; k < 5; ++k)
dst[mad24(k*rows + y, dstStep, x)] = res[k] * boxAreaInv;
}
}
__kernel void updateFlow(__global const float * M, int mStep,
__global float * flowx, int xStep,
__global float * flowy, int yStep,
const int rows, const int cols)
{
const int y = get_global_id(1);
const int x = get_global_id(0);
if (y < rows && y >= 0 && x < cols && x >= 0)
{
float g11 = M[mad24(y, mStep, x)];
float g12 = M[mad24(rows + y, mStep, x)];
float g22 = M[mad24(2*rows + y, mStep, x)];
float h1 =  M[mad24(3*rows + y, mStep, x)];
float h2 =  M[mad24(4*rows + y, mStep, x)];
float detInv = 1.f / (g11*g22 - g12*g12 + 1e-3f);
flowx[mad24(y, xStep, x)] = (g11*h2 - g12*h1) * detInv;
flowy[mad24(y, yStep, x)] = (g22*h1 - g12*h2) * detInv;
}
}
529300e6242f574f83d11a089cc120c0#define EPS 0.001f
#define INF 1E+10F
#define DIS_PATCH_SIZE_HALF (DIS_PATCH_SIZE / 2)
#ifndef DIS_BORDER_SIZE
__kernel void dis_precomputeStructureTensor_hor(__global const short *I0x,
__global const short *I0y,
int w, int h, int ws,
__global float *I0xx_aux_ptr,
__global float *I0yy_aux_ptr,
__global float *I0xy_aux_ptr,
__global float *I0x_aux_ptr,
__global float *I0y_aux_ptr)
{
int i = get_global_id(0);
if (i >= h) return;
const __global short *x_row = I0x + i * w;
const __global short *y_row = I0y + i * w;
float sum_xx = 0.0f, sum_yy = 0.0f, sum_xy = 0.0f, sum_x = 0.0f, sum_y = 0.0f;
float8 x_vec = convert_float8(vload8(0, x_row));
float8 y_vec = convert_float8(vload8(0, y_row));
sum_xx = dot(x_vec.lo, x_vec.lo) + dot(x_vec.hi, x_vec.hi);
sum_yy = dot(y_vec.lo, y_vec.lo) + dot(y_vec.hi, y_vec.hi);
sum_xy = dot(x_vec.lo, y_vec.lo) + dot(x_vec.hi, y_vec.hi);
sum_x = dot(x_vec.lo, 1.0f) + dot(x_vec.hi, 1.0f);
sum_y = dot(y_vec.lo, 1.0f) + dot(y_vec.hi, 1.0f);
I0xx_aux_ptr[i * ws] = sum_xx;
I0yy_aux_ptr[i * ws] = sum_yy;
I0xy_aux_ptr[i * ws] = sum_xy;
I0x_aux_ptr[i * ws] = sum_x;
I0y_aux_ptr[i * ws] = sum_y;
int js = 1;
for (int j = DIS_PATCH_SIZE; j < w; j++)
{
short x_val1 = x_row[j];
short x_val2 = x_row[j - DIS_PATCH_SIZE];
short y_val1 = y_row[j];
short y_val2 = y_row[j - DIS_PATCH_SIZE];
sum_xx += (x_val1 * x_val1 - x_val2 * x_val2);
sum_yy += (y_val1 * y_val1 - y_val2 * y_val2);
sum_xy += (x_val1 * y_val1 - x_val2 * y_val2);
sum_x += (x_val1 - x_val2);
sum_y += (y_val1 - y_val2);
if ((j - DIS_PATCH_SIZE + 1) % DIS_PATCH_STRIDE == 0)
{
int index = i * ws + js;
I0xx_aux_ptr[index] = sum_xx;
I0yy_aux_ptr[index] = sum_yy;
I0xy_aux_ptr[index] = sum_xy;
I0x_aux_ptr[index] = sum_x;
I0y_aux_ptr[index] = sum_y;
js++;
}
}
}
__kernel void dis_precomputeStructureTensor_ver(__global const float *I0xx_aux_ptr,
__global const float *I0yy_aux_ptr,
__global const float *I0xy_aux_ptr,
__global const float *I0x_aux_ptr,
__global const float *I0y_aux_ptr,
int w, int h, int ws,
__global float *I0xx_ptr,
__global float *I0yy_ptr,
__global float *I0xy_ptr,
__global float *I0x_ptr,
__global float *I0y_ptr)
{
int j = get_global_id(0);
if (j >= ws) return;
float sum_xx, sum_yy, sum_xy, sum_x, sum_y;
sum_xx = sum_yy = sum_xy = sum_x = sum_y = 0.0f;
for (int i = 0; i < DIS_PATCH_SIZE; i++)
{
sum_xx += I0xx_aux_ptr[i * ws + j];
sum_yy += I0yy_aux_ptr[i * ws + j];
sum_xy += I0xy_aux_ptr[i * ws + j];
sum_x  += I0x_aux_ptr[i * ws + j];
sum_y  += I0y_aux_ptr[i * ws + j];
}
I0xx_ptr[j] = sum_xx;
I0yy_ptr[j] = sum_yy;
I0xy_ptr[j] = sum_xy;
I0x_ptr[j] = sum_x;
I0y_ptr[j] = sum_y;
int is = 1;
for (int i = DIS_PATCH_SIZE; i < h; i++)
{
sum_xx += (I0xx_aux_ptr[i * ws + j] - I0xx_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);
sum_yy += (I0yy_aux_ptr[i * ws + j] - I0yy_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);
sum_xy += (I0xy_aux_ptr[i * ws + j] - I0xy_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);
sum_x  += (I0x_aux_ptr[i * ws + j] - I0x_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);
sum_y  += (I0y_aux_ptr[i * ws + j] - I0y_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);
if ((i - DIS_PATCH_SIZE + 1) % DIS_PATCH_STRIDE == 0)
{
I0xx_ptr[is * ws + j] = sum_xx;
I0yy_ptr[is * ws + j] = sum_yy;
I0xy_ptr[is * ws + j] = sum_xy;
I0x_ptr[is * ws + j] = sum_x;
I0y_ptr[is * ws + j] = sum_y;
is++;
}
}
}
__kernel void dis_densification(__global const float2 *S_ptr,
__global const uchar *i0, __global const uchar *i1,
int w, int h, int ws,
__global float2 *U_ptr)
{
int x = get_global_id(0);
int y = get_global_id(1);
int i, j;
if (x >= w || y >= h) return;
int start_is, end_is;
int start_js, end_js;
end_is = min(y / DIS_PATCH_STRIDE, (h - DIS_PATCH_SIZE) / DIS_PATCH_STRIDE);
start_is = max(0, y - DIS_PATCH_SIZE + DIS_PATCH_STRIDE) / DIS_PATCH_STRIDE;
start_is = min(start_is, end_is);
end_js = min(x / DIS_PATCH_STRIDE, (w - DIS_PATCH_SIZE) / DIS_PATCH_STRIDE);
start_js = max(0, x - DIS_PATCH_SIZE + DIS_PATCH_STRIDE) / DIS_PATCH_STRIDE;
start_js = min(start_js, end_js);
float sum_coef = 0.0f;
float2 sum_U = (float2)(0.0f, 0.0f);
int i_l, i_u;
int j_l, j_u;
float i_m, j_m, diff;
i = y;
j = x;
for (int is = start_is; is <= end_is; is++)
for (int js = start_js; js <= end_js; js++)
{
float2 s_val = S_ptr[is * ws + js];
uchar2 i1_vec1, i1_vec2;
j_m = min(max(j + s_val.x, 0.0f), w - 1.0f - EPS);
i_m = min(max(i + s_val.y, 0.0f), h - 1.0f - EPS);
j_l = (int)j_m;
j_u = j_l + 1;
i_l = (int)i_m;
i_u = i_l + 1;
i1_vec1 = vload2(0, i1 + i_u * w + j_l);
i1_vec2 = vload2(0, i1 + i_l * w + j_l);
diff = (j_m - j_l) * (i_m - i_l) * i1_vec1.y +
(j_u - j_m) * (i_m - i_l) * i1_vec1.x +
(j_m - j_l) * (i_u - i_m) * i1_vec2.y +
(j_u - j_m) * (i_u - i_m) * i1_vec2.x - i0[i * w + j];
float coef = 1.0f / max(1.0f, fabs(diff));
sum_U += coef * s_val;
sum_coef += coef;
}
float inv_sum_coef = 1.0 / sum_coef;
U_ptr[i * w + j] = sum_U * inv_sum_coef;
}
#else
#define INIT_BILINEAR_WEIGHTS(Ux, Uy) \
i_I1 = clamp(i + Uy + DIS_BORDER_SIZE, i_lower_limit, i_upper_limit); \
j_I1 = clamp(j + Ux + DIS_BORDER_SIZE, j_lower_limit, j_upper_limit); \
{ \
float di = i_I1 - floor(i_I1); \
float dj = j_I1 - floor(j_I1); \
w11 = di       * dj; \
w10 = di       * (1 - dj); \
w01 = (1 - di) * dj; \
w00 = (1 - di) * (1 - dj); \
}
float computeSSDMeanNorm(const __global uchar *I0_ptr, const __global uchar *I1_ptr,
int I0_stride, int I1_stride,
float w00, float w01, float w10, float w11, int i
#ifndef CV_USE_SUBGROUPS
, __local float2 *smem 
#endif
)
{
float sum_diff = 0.0f, sum_diff_sq = 0.0f;
int n = DIS_PATCH_SIZE * DIS_PATCH_SIZE;
uchar8 I1_vec1, I1_vec2, I0_vec;
uchar I1_val1, I1_val2;
I0_vec  = vload8(0, I0_ptr + i * I0_stride);
I1_vec1 = vload8(0, I1_ptr + i * I1_stride);
I1_vec2 = vload8(0, I1_ptr + (i + 1) * I1_stride);
I1_val1 = I1_ptr[i * I1_stride + 8];
I1_val2 = I1_ptr[(i + 1) * I1_stride + 8];
float8 vec = w00 * convert_float8(I1_vec1) + w01 * convert_float8((uchar8)(I1_vec1.s123, I1_vec1.s4567, I1_val1)) +
w10 * convert_float8(I1_vec2) + w11 * convert_float8((uchar8)(I1_vec2.s123, I1_vec2.s4567, I1_val2)) -
convert_float8(I0_vec);
sum_diff = (dot(vec.lo, 1.0) + dot(vec.hi, 1.0));
sum_diff_sq = (dot(vec.lo, vec.lo) + dot(vec.hi, vec.hi));
#ifdef CV_USE_SUBGROUPS
sum_diff = sub_group_reduce_add(sum_diff);
sum_diff_sq = sub_group_reduce_add(sum_diff_sq);
#else
barrier(CLK_LOCAL_MEM_FENCE);
smem[i] = (float2)(sum_diff, sum_diff_sq);
barrier(CLK_LOCAL_MEM_FENCE);
if (i < 4)
smem[i] += smem[i + 4];
barrier(CLK_LOCAL_MEM_FENCE);
if (i < 2)
smem[i] += smem[i + 2];
barrier(CLK_LOCAL_MEM_FENCE);
if (i == 0)
smem[0] += smem[1];
barrier(CLK_LOCAL_MEM_FENCE);
float2 reduce_add_result = smem[0];
sum_diff = reduce_add_result.x;
sum_diff_sq = reduce_add_result.y;
#endif
return sum_diff_sq - sum_diff * sum_diff / n;
}
__attribute__((reqd_work_group_size(8, 1, 1)))
__kernel void dis_patch_inverse_search_fwd_1(__global const float2 *U_ptr,
__global const uchar *I0_ptr, __global const uchar *I1_ptr,
int w, int h, int ws, int hs,
__global float2 *S_ptr)
{
int id = get_global_id(0);
int is = get_group_id(0);
int i = is * DIS_PATCH_STRIDE;
int j = 0;
int w_ext = w + 2 * DIS_BORDER_SIZE;
float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;
float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;
float2 prev_U = U_ptr[(i + DIS_PATCH_SIZE_HALF) * w + j + DIS_PATCH_SIZE_HALF];
S_ptr[is * ws] = prev_U;
j += DIS_PATCH_STRIDE;
#ifdef CV_USE_SUBGROUPS
int sid = get_sub_group_local_id();
#define EXTRA_ARGS_computeSSDMeanNorm sid
#else
__local float2 smem[8];
int sid = get_local_id(0);
#define EXTRA_ARGS_computeSSDMeanNorm sid, smem
#endif
for (int js = 1; js < ws; js++, j += DIS_PATCH_STRIDE)
{
float2 U = U_ptr[(i + DIS_PATCH_SIZE_HALF) * w + j + DIS_PATCH_SIZE_HALF];
float i_I1, j_I1, w00, w01, w10, w11;
INIT_BILINEAR_WEIGHTS(U.x, U.y);
float min_SSD = computeSSDMeanNorm(
I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,
w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);
INIT_BILINEAR_WEIGHTS(prev_U.x, prev_U.y);
float cur_SSD = computeSSDMeanNorm(
I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,
w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);
prev_U = (cur_SSD < min_SSD) ? prev_U : U;
S_ptr[is * ws + js] = prev_U;
}
#undef EXTRA_ARGS_computeSSDMeanNorm
}
#endif
float4 processPatchMeanNorm(const __global uchar *I0_ptr, const __global uchar *I1_ptr,
const __global short *I0x_ptr, const __global short *I0y_ptr,
int I0_stride, int I1_stride, float w00, float w01, float w10,
float w11, float x_grad_sum, float y_grad_sum)
{
const float inv_n = 1.0f / (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE);
float sum_diff = 0.0, sum_diff_sq = 0.0;
float sum_I0x_mul = 0.0, sum_I0y_mul = 0.0;
uchar8 I1_vec1;
uchar8 I1_vec2 = vload8(0, I1_ptr);
uchar I1_val1;
uchar I1_val2 = I1_ptr[DIS_PATCH_SIZE];
for (int i = 0; i < 8; i++)
{
uchar8 I0_vec = vload8(0, I0_ptr + i * I0_stride);
I1_vec1 = I1_vec2;
I1_vec2 = vload8(0, I1_ptr + (i + 1) * I1_stride);
I1_val1 = I1_val2;
I1_val2 = I1_ptr[(i + 1) * I1_stride + DIS_PATCH_SIZE];
float8 vec = w00 * convert_float8(I1_vec1) + w01 * convert_float8((uchar8)(I1_vec1.s123, I1_vec1.s4567, I1_val1)) +
w10 * convert_float8(I1_vec2) + w11 * convert_float8((uchar8)(I1_vec2.s123, I1_vec2.s4567, I1_val2)) -
convert_float8(I0_vec);
sum_diff += (dot(vec.lo, 1.0) + dot(vec.hi, 1.0));
sum_diff_sq += (dot(vec.lo, vec.lo) + dot(vec.hi, vec.hi));
short8 I0x_vec = vload8(0, I0x_ptr + i * I0_stride);
short8 I0y_vec = vload8(0, I0y_ptr + i * I0_stride);
sum_I0x_mul += dot(vec.lo, convert_float4(I0x_vec.lo));
sum_I0x_mul += dot(vec.hi, convert_float4(I0x_vec.hi));
sum_I0y_mul += dot(vec.lo, convert_float4(I0y_vec.lo));
sum_I0y_mul += dot(vec.hi, convert_float4(I0y_vec.hi));
}
float dst_dUx = sum_I0x_mul - sum_diff * x_grad_sum * inv_n;
float dst_dUy = sum_I0y_mul - sum_diff * y_grad_sum * inv_n;
float SSD = sum_diff_sq - sum_diff * sum_diff * inv_n;
return (float4)(SSD, dst_dUx, dst_dUy, 0);
}
#ifdef DIS_BORDER_SIZE
__kernel void dis_patch_inverse_search_fwd_2(__global const float2 *U_ptr,
__global const uchar *I0_ptr, __global const uchar *I1_ptr,
__global const short *I0x_ptr, __global const short *I0y_ptr,
__global const float *xx_ptr, __global const float *yy_ptr,
__global const float *xy_ptr,
__global const float *x_ptr, __global const float *y_ptr,
int w, int h, int ws, int hs, int num_inner_iter,
__global float2 *S_ptr)
{
int js = get_global_id(0);
int is = get_global_id(1);
int i = is * DIS_PATCH_STRIDE;
int j = js * DIS_PATCH_STRIDE;
const int psz = DIS_PATCH_SIZE;
int w_ext = w + 2 * DIS_BORDER_SIZE;
int index = is * ws + js;
if (js >= ws || is >= hs) return;
float2 U0 = S_ptr[index];
float2 cur_U = U0;
float cur_xx = xx_ptr[index];
float cur_yy = yy_ptr[index];
float cur_xy = xy_ptr[index];
float detH = cur_xx * cur_yy - cur_xy * cur_xy;
float inv_detH = (fabs(detH) < EPS) ? 1.0 / EPS : 1.0 / detH;
float invH11 = cur_yy * inv_detH;
float invH12 = -cur_xy * inv_detH;
float invH22 = cur_xx * inv_detH;
float prev_SSD = INF;
float x_grad_sum = x_ptr[index];
float y_grad_sum = y_ptr[index];
const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;
const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;
for (int t = 0; t < num_inner_iter; t++)
{
float i_I1, j_I1, w00, w01, w10, w11;
INIT_BILINEAR_WEIGHTS(cur_U.x, cur_U.y);
float4 res = processPatchMeanNorm(
I0_ptr  + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,
I0x_ptr + i * w + j, I0y_ptr + i * w + j,
w, w_ext, w00, w01, w10, w11,
x_grad_sum, y_grad_sum);
float SSD = res.x;
float dUx = res.y;
float dUy = res.z;
float dx = invH11 * dUx + invH12 * dUy;
float dy = invH12 * dUx + invH22 * dUy;
cur_U -= (float2)(dx, dy);
if (SSD >= prev_SSD)
break;
prev_SSD = SSD;
}
float2 vec = cur_U - U0;
S_ptr[index] = (dot(vec, vec) <= (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE)) ? cur_U : U0;
}
__attribute__((reqd_work_group_size(8, 1, 1)))
__kernel void dis_patch_inverse_search_bwd_1(__global const uchar *I0_ptr, __global const uchar *I1_ptr,
int w, int h, int ws, int hs,
__global float2 *S_ptr)
{
int id = get_global_id(0);
int is = get_group_id(0);
is = (hs - 1 - is);
int i = is * DIS_PATCH_STRIDE;
int j = (ws - 2) * DIS_PATCH_STRIDE;
const int w_ext = w + 2 * DIS_BORDER_SIZE;
const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;
const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;
#ifdef CV_USE_SUBGROUPS
int sid = get_sub_group_local_id();
#define EXTRA_ARGS_computeSSDMeanNorm sid
#else
__local float2 smem[8];
int sid = get_local_id(0);
#define EXTRA_ARGS_computeSSDMeanNorm sid, smem
#endif
for (int js = (ws - 2); js > -1; js--, j -= DIS_PATCH_STRIDE)
{
float2 U0 = S_ptr[is * ws + js];
float2 U1 = S_ptr[is * ws + js + 1];
float i_I1, j_I1, w00, w01, w10, w11;
INIT_BILINEAR_WEIGHTS(U0.x, U0.y);
float min_SSD = computeSSDMeanNorm(
I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,
w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);
INIT_BILINEAR_WEIGHTS(U1.x, U1.y);
float cur_SSD = computeSSDMeanNorm(
I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,
w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);
S_ptr[is * ws + js] = (cur_SSD < min_SSD) ? U1 : U0;
}
#undef EXTRA_ARGS_computeSSDMeanNorm
}
__kernel void dis_patch_inverse_search_bwd_2(__global const uchar *I0_ptr, __global const uchar *I1_ptr,
__global const short *I0x_ptr, __global const short *I0y_ptr,
__global const float *xx_ptr, __global const float *yy_ptr,
__global const float *xy_ptr,
__global const float *x_ptr, __global const float *y_ptr,
int w, int h, int ws, int hs, int num_inner_iter,
__global float2 *S_ptr)
{
int js = get_global_id(0);
int is = get_global_id(1);
if (js >= ws || is >= hs) return;
js = (ws - 1 - js);
is = (hs - 1 - is);
int j = js * DIS_PATCH_STRIDE;
int i = is * DIS_PATCH_STRIDE;
int w_ext = w + 2 * DIS_BORDER_SIZE;
int index = is * ws + js;
float2 U0 = S_ptr[index];
float2 cur_U = U0;
float cur_xx = xx_ptr[index];
float cur_yy = yy_ptr[index];
float cur_xy = xy_ptr[index];
float detH = cur_xx * cur_yy - cur_xy * cur_xy;
float inv_detH = (fabs(detH) < EPS) ? 1.0 / EPS : 1.0 / detH;
float invH11 = cur_yy * inv_detH;
float invH12 = -cur_xy * inv_detH;
float invH22 = cur_xx * inv_detH;
float prev_SSD = INF;
float x_grad_sum = x_ptr[index];
float y_grad_sum = y_ptr[index];
const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;
const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;
const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;
for (int t = 0; t < num_inner_iter; t++)
{
float i_I1, j_I1, w00, w01, w10, w11;
INIT_BILINEAR_WEIGHTS(cur_U.x, cur_U.y);
float4 res = processPatchMeanNorm(
I0_ptr  + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,
I0x_ptr + i * w + j, I0y_ptr + i * w + j,
w, w_ext, w00, w01, w10, w11,
x_grad_sum, y_grad_sum);
float SSD = res.x;
float dUx = res.y;
float dUy = res.z;
float dx = invH11 * dUx + invH12 * dUy;
float dy = invH12 * dUx + invH22 * dUy;
cur_U -= (float2)(dx, dy);
if (SSD >= prev_SSD)
break;
prev_SSD = SSD;
}
float2 vec = cur_U - U0;
S_ptr[index] = ((dot(vec, vec)) <= (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE)) ? cur_U : U0;
}
#endif
39015c9b775dfd3350237f6206822f49#if CN==1
#define T_MEAN float
#define F_ZERO (0.0f)
#define cnMode 1
#define frameToMean(a, b) (b) = *(a);
#if FL==0
#define meanToFrame(a, b) *b = convert_uchar_sat(a);
#else
#define meanToFrame(a, b) *b = (float)a;
#endif
#else
#define T_MEAN float4
#define F_ZERO (0.0f, 0.0f, 0.0f, 0.0f)
#define cnMode 4
#if FL == 0
#define meanToFrame(a, b)\
b[0] = convert_uchar_sat(a.x); \
b[1] = convert_uchar_sat(a.y); \
b[2] = convert_uchar_sat(a.z);
#else
#define meanToFrame(a, b)\
b[0] = a.x; \
b[1] = a.y; \
b[2] = a.z;
#endif
#define frameToMean(a, b)\
b.x = a[0]; \
b.y = a[1]; \
b.z = a[2]; \
b.w = 0.0f;
#endif
__kernel void mog2_kernel(__global const uchar* frame, int frame_step, int frame_offset, int frame_row, int frame_col,
__global uchar* modesUsed,
__global uchar* weight,
__global uchar* mean,
__global uchar* variance,
__global uchar* fgmask, int fgmask_step, int fgmask_offset,
float alphaT, float alpha1, float prune,
float c_Tb, float c_TB, float c_Tg, float c_varMin,
float c_varMax, float c_varInit, float c_tau
#ifdef SHADOW_DETECT
, uchar c_shadowVal
#endif
)
{
int x = get_global_id(0);
int y = get_global_id(1);
if( x < frame_col && y < frame_row)
{
#if FL==0
__global const uchar* _frame = (frame + mad24(y, frame_step, mad24(x, CN, frame_offset)));
#else
__global const float* _frame = ((__global const float*)( frame + mad24(y, frame_step, frame_offset)) + mad24(x, CN, 0));
#endif
T_MEAN pix;
frameToMean(_frame, pix);
uchar foreground = 255;
bool fitsPDF = false;
int pt_idx =  mad24(y, frame_col, x);
int idx_step = frame_row * frame_col;
__global uchar* _modesUsed = modesUsed + pt_idx;
uchar nmodes = _modesUsed[0];
float totalWeight = 0.0f;
__global float* _weight = (__global float*)(weight);
__global float* _variance = (__global float*)(variance);
__global T_MEAN* _mean = (__global T_MEAN*)(mean);
uchar mode = 0;
for (; mode < nmodes; ++mode)
{
int mode_idx = mad24(mode, idx_step, pt_idx);
float c_weight = mad(alpha1, _weight[mode_idx], prune);
float c_var = _variance[mode_idx];
T_MEAN c_mean = _mean[mode_idx];
T_MEAN diff = c_mean - pix;
float dist2 = dot(diff, diff);
if (totalWeight < c_TB && dist2 < c_Tb * c_var)
foreground = 0;
if (dist2 < c_Tg * c_var)
{
fitsPDF = true;
c_weight += alphaT;
float k = alphaT / c_weight;
T_MEAN mean_new = mad((T_MEAN)-k, diff, c_mean);
float variance_new  = clamp(mad(k, (dist2 - c_var), c_var), c_varMin, c_varMax);
for (int i = mode; i > 0; --i)
{
int prev_idx = mode_idx - idx_step;
if (c_weight < _weight[prev_idx])
break;
_weight[mode_idx]   = _weight[prev_idx];
_variance[mode_idx] = _variance[prev_idx];
_mean[mode_idx]     = _mean[prev_idx];
mode_idx = prev_idx;
}
_mean[mode_idx]     = mean_new;
_variance[mode_idx] = variance_new;
_weight[mode_idx]   = c_weight;
totalWeight += c_weight;
mode ++;
break;
}
if (c_weight < -prune)
c_weight = 0.0f;
_weight[mode_idx] = c_weight;
totalWeight += c_weight;
}
for (; mode < nmodes; ++mode)
{
int mode_idx = mad24(mode, idx_step, pt_idx);
float c_weight = mad(alpha1, _weight[mode_idx], prune);
if (c_weight < -prune)
{
c_weight = 0.0f;
nmodes = mode;
break;
}
_weight[mode_idx] = c_weight;
totalWeight += c_weight;
}
if (0.f < totalWeight)
{
totalWeight = 1.f / totalWeight;
for (int mode = 0; mode < nmodes; ++mode)
_weight[mad24(mode, idx_step, pt_idx)] *= totalWeight;
}
if (!fitsPDF)
{
uchar mode = nmodes == (NMIXTURES) ? (NMIXTURES) - 1 : nmodes++;
int mode_idx = mad24(mode, idx_step, pt_idx);
if (nmodes == 1)
_weight[mode_idx] = 1.f;
else
{
_weight[mode_idx] = alphaT;
for (int i = pt_idx; i < mode_idx; i += idx_step)
_weight[i] *= alpha1;
}
for (int i = nmodes - 1; i > 0; --i)
{
int prev_idx = mode_idx - idx_step;
if (alphaT < _weight[prev_idx])
break;
_weight[mode_idx]   = _weight[prev_idx];
_variance[mode_idx] = _variance[prev_idx];
_mean[mode_idx]     = _mean[prev_idx];
mode_idx = prev_idx;
}
_mean[mode_idx] = pix;
_variance[mode_idx] = c_varInit;
}
_modesUsed[0] = nmodes;
#ifdef SHADOW_DETECT
if (foreground)
{
float tWeight = 0.0f;
for (uchar mode = 0; mode < nmodes; ++mode)
{
int mode_idx = mad24(mode, idx_step, pt_idx);
T_MEAN c_mean = _mean[mode_idx];
float numerator = dot(pix, c_mean);
float denominator = dot(c_mean, c_mean);
if (denominator == 0)
break;
if (numerator <= denominator && numerator >= c_tau * denominator)
{
float a = numerator / denominator;
T_MEAN dD = mad(a, c_mean, -pix);
if (dot(dD, dD) < c_Tb * _variance[mode_idx] * a * a)
{
foreground = c_shadowVal;
break;
}
}
tWeight += _weight[mode_idx];
if (tWeight > c_TB)
break;
}
}
#endif
__global uchar* _fgmask = fgmask + mad24(y, fgmask_step, x + fgmask_offset);
*_fgmask = (uchar)foreground;
}
}
__kernel void getBackgroundImage2_kernel(__global const uchar* modesUsed,
__global const uchar* weight,
__global const uchar* mean,
__global uchar* dst, int dst_step, int dst_offset, int dst_row, int dst_col,
float c_TB)
{
int x = get_global_id(0);
int y = get_global_id(1);
if(x < dst_col && y < dst_row)
{
int pt_idx =  mad24(y, dst_col, x);
__global const uchar* _modesUsed = modesUsed + pt_idx;
uchar nmodes = _modesUsed[0];
T_MEAN meanVal = (T_MEAN)F_ZERO;
float totalWeight = 0.0f;
__global const float* _weight = (__global const float*)weight;
__global const T_MEAN* _mean = (__global const T_MEAN*)(mean);
int idx_step = dst_row * dst_col;
for (uchar mode = 0; mode < nmodes; ++mode)
{
int mode_idx = mad24(mode, idx_step, pt_idx);
float c_weight = _weight[mode_idx];
T_MEAN c_mean = _mean[mode_idx];
meanVal = mad(c_weight, c_mean, meanVal);
totalWeight += c_weight;
if (totalWeight > c_TB)
break;
}
if (0.f < totalWeight)
meanVal = meanVal / totalWeight;
else
meanVal = (T_MEAN)(0.f);
#if FL==0
__global uchar* _dst = dst + mad24(y, dst_step, mad24(x, CN, dst_offset));
meanToFrame(meanVal, _dst);
#else
__global float* _dst = ((__global float*)( dst + mad24(y, dst_step, dst_offset)) + mad24(x, CN, 0));
meanToFrame(meanVal, _dst);
#endif
}
}
39b7e7b52e8eb53029cf2337ae3d904f#if CN==1
#define T_MEAN float
#define F_ZERO (0.0f)
#define frameToMean(a, b) (b) = *(a);
#define meanToFrame(a, b) *b = convert_uchar_sat(a);
#else
#define T_MEAN float4
#define F_ZERO (0.0f, 0.0f, 0.0f, 0.0f)
#define meanToFrame(a, b)\
b[0] = convert_uchar_sat(a.x); \
b[1] = convert_uchar_sat(a.y); \
b[2] = convert_uchar_sat(a.z);
#define frameToMean(a, b)\
b.x = a[0]; \
b.y = a[1]; \
b.z = a[2]; \
b.w = 0.0f;
#endif
__kernel void knn_kernel(__global const uchar* frame, int frame_step, int frame_offset, int frame_row, int frame_col,
__global const uchar* nNextLongUpdate,
__global const uchar* nNextMidUpdate,
__global const uchar* nNextShortUpdate,
__global uchar* aModelIndexLong,
__global uchar* aModelIndexMid,
__global uchar* aModelIndexShort,
__global uchar* flag,
__global uchar* sample,
__global uchar* fgmask, int fgmask_step, int fgmask_offset,
int nLongCounter, int nMidCounter, int nShortCounter,
float c_Tb, int c_nkNN, float c_tau
#ifdef SHADOW_DETECT
, uchar c_shadowVal
#endif
)
{
int x = get_global_id(0);
int y = get_global_id(1);
if( x < frame_col && y < frame_row)
{
__global const uchar* _frame = (frame + mad24(y, frame_step, mad24(x, CN, frame_offset)));
T_MEAN pix;
frameToMean(_frame, pix);
uchar foreground = 255;
int Pbf = 0;
int Pb = 0;
uchar include = 0;
int pt_idx =  mad24(y, frame_col, x);
int idx_step = frame_row * frame_col;
__global T_MEAN* _sample = (__global T_MEAN*)(sample);
for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n)
{
int n_idx = mad24(n, idx_step, pt_idx);
T_MEAN c_mean = _sample[n_idx];
uchar c_flag = flag[n_idx];
T_MEAN diff = c_mean - pix;
float dist2 = dot(diff, diff);
if (dist2 < c_Tb)
{
Pbf++;
if (c_flag)
{
Pb++;
if (Pb >= c_nkNN)
{
include = 1;
foreground = 0;
break;
}
}
}
}
if (Pbf >= c_nkNN)
{
include = 1;
}
#ifdef SHADOW_DETECT
if (foreground)
{
int Ps = 0;
for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n)
{
int n_idx = mad24(n, idx_step, pt_idx);
uchar c_flag = flag[n_idx];
if (c_flag)
{
T_MEAN c_mean = _sample[n_idx];
float numerator = dot(pix, c_mean);
float denominator = dot(c_mean, c_mean);
if (denominator == 0)
break;
if (numerator <= denominator && numerator >= c_tau * denominator)
{
float a = numerator / denominator;
T_MEAN dD = mad(a, c_mean, -pix);
if (dot(dD, dD) < c_Tb * a * a)
{
Ps++;
if (Ps >= c_nkNN)
{
foreground = c_shadowVal;
break;
}
}
}
}
}
}
#endif
__global uchar* _fgmask = fgmask + mad24(y, fgmask_step, x + fgmask_offset);
*_fgmask = (uchar)foreground;
__global const uchar* _nNextLongUpdate = nNextLongUpdate + pt_idx;
__global const uchar* _nNextMidUpdate = nNextMidUpdate + pt_idx;
__global const uchar* _nNextShortUpdate = nNextShortUpdate + pt_idx;
__global uchar* _aModelIndexLong = aModelIndexLong + pt_idx;
__global uchar* _aModelIndexMid = aModelIndexMid + pt_idx;
__global uchar* _aModelIndexShort = aModelIndexShort + pt_idx;
uchar nextLongUpdate = _nNextLongUpdate[0];
uchar nextMidUpdate = _nNextMidUpdate[0];
uchar nextShortUpdate = _nNextShortUpdate[0];
uchar modelIndexLong = _aModelIndexLong[0];
uchar modelIndexMid = _aModelIndexMid[0];
uchar modelIndexShort = _aModelIndexShort[0];
int offsetLong = mad24(mad24(2, (NSAMPLES), modelIndexLong), idx_step, pt_idx);
int offsetMid = mad24((NSAMPLES)+modelIndexMid, idx_step, pt_idx);
int offsetShort = mad24(modelIndexShort, idx_step, pt_idx);
if (nextLongUpdate == nLongCounter)
{
_sample[offsetLong] = _sample[offsetMid];
flag[offsetLong] = flag[offsetMid];
_aModelIndexLong[0] = (modelIndexLong >= ((NSAMPLES)-1)) ? 0 : (modelIndexLong + 1);
}
if (nextMidUpdate == nMidCounter)
{
_sample[offsetMid] = _sample[offsetShort];
flag[offsetMid] = flag[offsetShort];
_aModelIndexMid[0] = (modelIndexMid >= ((NSAMPLES)-1)) ? 0 : (modelIndexMid + 1);
}
if (nextShortUpdate == nShortCounter)
{
_sample[offsetShort] = pix;
flag[offsetShort] = include;
_aModelIndexShort[0] = (modelIndexShort >= ((NSAMPLES)-1)) ? 0 : (modelIndexShort + 1);
}
}
}
__kernel void getBackgroundImage2_kernel(__global const uchar* flag,
__global const uchar* sample,
__global uchar* dst, int dst_step, int dst_offset, int dst_row, int dst_col)
{
int x = get_global_id(0);
int y = get_global_id(1);
if(x < dst_col && y < dst_row)
{
int pt_idx =  mad24(y, dst_col, x);
T_MEAN meanVal = (T_MEAN)F_ZERO;
__global T_MEAN* _sample = (__global T_MEAN*)(sample);
int idx_step = dst_row * dst_col;
for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n)
{
int n_idx = mad24(n, idx_step, pt_idx);
uchar c_flag = flag[n_idx];
if(c_flag)
{
meanVal = _sample[n_idx];
break;
}
}
__global uchar* _dst = dst + mad24(y, dst_step, mad24(x, CN, dst_offset));
meanToFrame(meanVal, _dst);
}
}
a192721ae727b25afde8d854a0679ee4GCC: (Ubuntu 5.4.0-6ubuntu1~16.04.11) 5.4.0 20160609ñÿ
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