Merge pull request #1568 from ilya-lavrenov:ocl_pyrlk
This commit is contained in:
commit
f91f8663b6
@ -191,7 +191,7 @@ PERF_TEST_P(VideoMOG2Fixture, MOG2,
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TEST_CYCLE()
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{
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cv::Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
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mog2->set("detectShadows", false);
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mog2->setDetectShadows(false);
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foreground.release();
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for (int i = 0; i < nFrame; i++)
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@ -253,7 +253,7 @@ PERF_TEST_P(Video_MOG2GetBackgroundImage, MOG2,
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TEST_CYCLE()
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{
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cv::Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
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mog2->set("detectShadows", false);
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mog2->setDetectShadows(false);
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foreground.release();
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background.release();
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for (int i = 0; i < nFrame; i++)
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@ -45,23 +45,21 @@
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//
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//M*/
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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::ocl;
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namespace cv
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{
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namespace ocl
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{
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extern const char *pyrlk;
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extern const char *pyrlk_no_image;
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extern const char *operator_setTo;
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extern const char *operator_convertTo;
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extern const char *operator_copyToM;
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extern const char *pyr_down;
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}
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namespace ocl
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{
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extern const char *pyrlk;
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extern const char *pyrlk_no_image;
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extern const char *pyr_down;
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}
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}
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struct dim3
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{
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unsigned int x, y, z;
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@ -88,345 +86,6 @@ static void calcPatchSize(cv::Size winSize, int cn, dim3 &block, dim3 &patch, bo
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block.z = patch.z = 1;
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}
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///////////////////////////////////////////////////////////////////////////
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//////////////////////////////// ConvertTo ////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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static void convert_run_cus(const oclMat &src, oclMat &dst, double alpha, double beta)
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{
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String kernelName = "convert_to_S";
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std::stringstream idxStr;
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idxStr << src.depth();
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kernelName = kernelName + idxStr.str().c_str();
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float alpha_f = (float)alpha, beta_f = (float)beta;
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CV_DbgAssert(src.rows == dst.rows && src.cols == dst.cols);
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std::vector<std::pair<size_t , const void *> > args;
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size_t localThreads[3] = {16, 16, 1};
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size_t globalThreads[3];
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globalThreads[0] = (dst.cols + localThreads[0] - 1) / localThreads[0] * localThreads[0];
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globalThreads[1] = (dst.rows + localThreads[1] - 1) / localThreads[1] * localThreads[1];
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globalThreads[2] = 1;
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int dststep_in_pixel = dst.step / dst.elemSize(), dstoffset_in_pixel = dst.offset / dst.elemSize();
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int srcstep_in_pixel = src.step / src.elemSize(), srcoffset_in_pixel = src.offset / src.elemSize();
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if(dst.type() == CV_8UC1)
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{
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globalThreads[0] = ((dst.cols + 4) / 4 + localThreads[0]) / localThreads[0] * localThreads[0];
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}
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args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&src.data ));
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args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&dst.data ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.cols ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.rows ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&srcstep_in_pixel ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&srcoffset_in_pixel ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dststep_in_pixel ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dstoffset_in_pixel ));
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args.push_back( std::make_pair( sizeof(cl_float) , (void *)&alpha_f ));
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args.push_back( std::make_pair( sizeof(cl_float) , (void *)&beta_f ));
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openCLExecuteKernel2(dst.clCxt , &operator_convertTo, kernelName, globalThreads,
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localThreads, args, dst.oclchannels(), dst.depth(), CLFLUSH);
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}
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void convertTo( const oclMat &src, oclMat &m, int rtype, double alpha = 1, double beta = 0 );
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void convertTo( const oclMat &src, oclMat &dst, int rtype, double alpha, double beta )
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{
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//cout << "cv::ocl::oclMat::convertTo()" << endl;
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bool noScale = fabs(alpha - 1) < std::numeric_limits<double>::epsilon()
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&& fabs(beta) < std::numeric_limits<double>::epsilon();
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if( rtype < 0 )
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rtype = src.type();
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else
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rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), src.oclchannels());
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int sdepth = src.depth(), ddepth = CV_MAT_DEPTH(rtype);
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if( sdepth == ddepth && noScale )
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{
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src.copyTo(dst);
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return;
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}
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oclMat temp;
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const oclMat *psrc = &src;
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if( sdepth != ddepth && psrc == &dst )
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psrc = &(temp = src);
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dst.create( src.size(), rtype );
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convert_run_cus(*psrc, dst, alpha, beta);
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}
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///////////////////////////////////////////////////////////////////////////
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//////////////////////////////// setTo ////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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//oclMat &operator = (const Scalar &s)
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//{
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// //cout << "cv::ocl::oclMat::=" << endl;
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// setTo(s);
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// return *this;
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//}
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static void set_to_withoutmask_run_cus(const oclMat &dst, const Scalar &scalar, String kernelName)
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{
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std::vector<std::pair<size_t , const void *> > args;
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size_t localThreads[3] = {16, 16, 1};
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size_t globalThreads[3];
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globalThreads[0] = (dst.cols + localThreads[0] - 1) / localThreads[0] * localThreads[0];
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globalThreads[1] = (dst.rows + localThreads[1] - 1) / localThreads[1] * localThreads[1];
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globalThreads[2] = 1;
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int step_in_pixel = dst.step / dst.elemSize(), offset_in_pixel = dst.offset / dst.elemSize();
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if(dst.type() == CV_8UC1)
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{
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globalThreads[0] = ((dst.cols + 4) / 4 + localThreads[0] - 1) / localThreads[0] * localThreads[0];
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}
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char compile_option[32];
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union sc
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{
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cl_uchar4 uval;
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cl_char4 cval;
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cl_ushort4 usval;
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cl_short4 shval;
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cl_int4 ival;
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cl_float4 fval;
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cl_double4 dval;
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} val;
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switch(dst.depth())
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{
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case 0:
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val.uval.s[0] = saturate_cast<uchar>(scalar.val[0]);
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val.uval.s[1] = saturate_cast<uchar>(scalar.val[1]);
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val.uval.s[2] = saturate_cast<uchar>(scalar.val[2]);
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val.uval.s[3] = saturate_cast<uchar>(scalar.val[3]);
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switch(dst.oclchannels())
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{
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case 1:
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sprintf(compile_option, "-D GENTYPE=uchar");
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args.push_back( std::make_pair( sizeof(cl_uchar) , (void *)&val.uval.s[0] ));
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break;
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case 4:
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sprintf(compile_option, "-D GENTYPE=uchar4");
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args.push_back( std::make_pair( sizeof(cl_uchar4) , (void *)&val.uval ));
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unsupported channels");
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}
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break;
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case 1:
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val.cval.s[0] = saturate_cast<char>(scalar.val[0]);
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val.cval.s[1] = saturate_cast<char>(scalar.val[1]);
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val.cval.s[2] = saturate_cast<char>(scalar.val[2]);
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val.cval.s[3] = saturate_cast<char>(scalar.val[3]);
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switch(dst.oclchannels())
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{
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case 1:
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sprintf(compile_option, "-D GENTYPE=char");
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args.push_back( std::make_pair( sizeof(cl_char) , (void *)&val.cval.s[0] ));
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break;
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case 4:
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sprintf(compile_option, "-D GENTYPE=char4");
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args.push_back( std::make_pair( sizeof(cl_char4) , (void *)&val.cval ));
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unsupported channels");
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}
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break;
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case 2:
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val.usval.s[0] = saturate_cast<ushort>(scalar.val[0]);
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val.usval.s[1] = saturate_cast<ushort>(scalar.val[1]);
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val.usval.s[2] = saturate_cast<ushort>(scalar.val[2]);
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val.usval.s[3] = saturate_cast<ushort>(scalar.val[3]);
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switch(dst.oclchannels())
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{
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case 1:
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sprintf(compile_option, "-D GENTYPE=ushort");
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args.push_back( std::make_pair( sizeof(cl_ushort) , (void *)&val.usval.s[0] ));
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break;
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case 4:
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sprintf(compile_option, "-D GENTYPE=ushort4");
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args.push_back( std::make_pair( sizeof(cl_ushort4) , (void *)&val.usval ));
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unsupported channels");
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}
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break;
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case 3:
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val.shval.s[0] = saturate_cast<short>(scalar.val[0]);
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val.shval.s[1] = saturate_cast<short>(scalar.val[1]);
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val.shval.s[2] = saturate_cast<short>(scalar.val[2]);
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val.shval.s[3] = saturate_cast<short>(scalar.val[3]);
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switch(dst.oclchannels())
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{
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case 1:
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sprintf(compile_option, "-D GENTYPE=short");
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args.push_back( std::make_pair( sizeof(cl_short) , (void *)&val.shval.s[0] ));
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break;
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case 4:
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sprintf(compile_option, "-D GENTYPE=short4");
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args.push_back( std::make_pair( sizeof(cl_short4) , (void *)&val.shval ));
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unsupported channels");
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}
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break;
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case 4:
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val.ival.s[0] = saturate_cast<int>(scalar.val[0]);
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val.ival.s[1] = saturate_cast<int>(scalar.val[1]);
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val.ival.s[2] = saturate_cast<int>(scalar.val[2]);
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val.ival.s[3] = saturate_cast<int>(scalar.val[3]);
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switch(dst.oclchannels())
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{
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case 1:
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sprintf(compile_option, "-D GENTYPE=int");
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&val.ival.s[0] ));
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break;
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case 2:
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sprintf(compile_option, "-D GENTYPE=int2");
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cl_int2 i2val;
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i2val.s[0] = val.ival.s[0];
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i2val.s[1] = val.ival.s[1];
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args.push_back( std::make_pair( sizeof(cl_int2) , (void *)&i2val ));
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break;
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case 4:
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sprintf(compile_option, "-D GENTYPE=int4");
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args.push_back( std::make_pair( sizeof(cl_int4) , (void *)&val.ival ));
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unsupported channels");
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}
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break;
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case 5:
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val.fval.s[0] = (float)scalar.val[0];
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val.fval.s[1] = (float)scalar.val[1];
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val.fval.s[2] = (float)scalar.val[2];
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val.fval.s[3] = (float)scalar.val[3];
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switch(dst.oclchannels())
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{
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case 1:
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sprintf(compile_option, "-D GENTYPE=float");
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args.push_back( std::make_pair( sizeof(cl_float) , (void *)&val.fval.s[0] ));
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break;
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case 4:
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sprintf(compile_option, "-D GENTYPE=float4");
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args.push_back( std::make_pair( sizeof(cl_float4) , (void *)&val.fval ));
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unsupported channels");
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}
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break;
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case 6:
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val.dval.s[0] = scalar.val[0];
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val.dval.s[1] = scalar.val[1];
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val.dval.s[2] = scalar.val[2];
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val.dval.s[3] = scalar.val[3];
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switch(dst.oclchannels())
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{
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case 1:
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sprintf(compile_option, "-D GENTYPE=double");
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args.push_back( std::make_pair( sizeof(cl_double) , (void *)&val.dval.s[0] ));
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break;
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case 4:
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sprintf(compile_option, "-D GENTYPE=double4");
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args.push_back( std::make_pair( sizeof(cl_double4) , (void *)&val.dval ));
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unsupported channels");
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}
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break;
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default:
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CV_Error(Error::StsUnsupportedFormat, "unknown depth");
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}
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#ifdef CL_VERSION_1_2
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if(dst.offset == 0 && dst.cols == dst.wholecols)
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{
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clEnqueueFillBuffer((cl_command_queue)dst.clCxt->oclCommandQueue(), (cl_mem)dst.data, args[0].second, args[0].first, 0, dst.step * dst.rows, 0, NULL, NULL);
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}
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else
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{
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args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&dst.data ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst.cols ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst.rows ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&step_in_pixel ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&offset_in_pixel));
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openCLExecuteKernel2(dst.clCxt , &operator_setTo, kernelName, globalThreads,
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localThreads, args, -1, -1, compile_option, CLFLUSH);
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}
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#else
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args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&dst.data ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst.cols ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst.rows ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&step_in_pixel ));
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args.push_back( std::make_pair( sizeof(cl_int) , (void *)&offset_in_pixel));
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openCLExecuteKernel2(dst.clCxt , &operator_setTo, kernelName, globalThreads,
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localThreads, args, -1, -1, compile_option, CLFLUSH);
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#endif
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}
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static oclMat &setTo(oclMat &src, const Scalar &scalar)
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{
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CV_Assert( src.depth() >= 0 && src.depth() <= 6 );
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CV_DbgAssert( !src.empty());
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if(src.type() == CV_8UC1)
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{
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set_to_withoutmask_run_cus(src, scalar, "set_to_without_mask_C1_D0");
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}
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else
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{
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set_to_withoutmask_run_cus(src, scalar, "set_to_without_mask");
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}
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return src;
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}
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///////////////////////////////////////////////////////////////////////////
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////////////////////////////////// CopyTo /////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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// static void copy_to_with_mask_cus(const oclMat &src, oclMat &dst, const oclMat &mask, String kernelName)
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// {
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// CV_DbgAssert( dst.rows == mask.rows && dst.cols == mask.cols &&
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// src.rows == dst.rows && src.cols == dst.cols
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// && mask.type() == CV_8UC1);
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// std::vector<std::pair<size_t , const void *> > args;
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// String string_types[4][7] = {{"uchar", "char", "ushort", "short", "int", "float", "double"},
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// {"uchar2", "char2", "ushort2", "short2", "int2", "float2", "double2"},
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// {"uchar3", "char3", "ushort3", "short3", "int3", "float3", "double3"},
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// {"uchar4", "char4", "ushort4", "short4", "int4", "float4", "double4"}
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// };
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// char compile_option[32];
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// sprintf(compile_option, "-D GENTYPE=%s", string_types[dst.oclchannels() - 1][dst.depth()].c_str());
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// size_t localThreads[3] = {16, 16, 1};
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// size_t globalThreads[3];
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// globalThreads[0] = divUp(dst.cols, localThreads[0]) * localThreads[0];
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// globalThreads[1] = divUp(dst.rows, localThreads[1]) * localThreads[1];
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// globalThreads[2] = 1;
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// int dststep_in_pixel = dst.step / dst.elemSize(), dstoffset_in_pixel = dst.offset / dst.elemSize();
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// int srcstep_in_pixel = src.step / src.elemSize(), srcoffset_in_pixel = src.offset / src.elemSize();
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// args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&src.data ));
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// args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&dst.data ));
|
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// args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&mask.data ));
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// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.cols ));
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// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.rows ));
|
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// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&srcstep_in_pixel ));
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// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&srcoffset_in_pixel ));
|
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// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dststep_in_pixel ));
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// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dstoffset_in_pixel ));
|
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// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&mask.step ));
|
||||
// args.push_back( std::make_pair( sizeof(cl_int) , (void *)&mask.offset ));
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||||
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||||
// openCLExecuteKernel2(dst.clCxt , &operator_copyToM, kernelName, globalThreads,
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// localThreads, args, -1, -1, compile_option, CLFLUSH);
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// }
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||||
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static void copyTo(const oclMat &src, oclMat &m )
|
||||
{
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CV_DbgAssert(!src.empty());
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m.create(src.size(), src.type());
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openCLCopyBuffer2D(src.clCxt, m.data, m.step, m.offset,
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src.data, src.step, src.cols * src.elemSize(), src.rows, src.offset);
|
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}
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||||
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static void pyrdown_run_cus(const oclMat &src, const oclMat &dst)
|
||||
{
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||||
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@ -457,7 +116,6 @@ static void pyrDown_cus(const oclMat &src, oclMat &dst)
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CV_Assert(src.depth() <= CV_32F && src.channels() <= 4);
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dst.create((src.rows + 1) / 2, (src.cols + 1) / 2, src.type());
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pyrdown_run_cus(src, dst);
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}
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@ -516,9 +174,7 @@ static void lkSparse_run(oclMat &I, oclMat &J,
|
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releaseTexture(JTex);
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}
|
||||
else
|
||||
{
|
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openCLExecuteKernel2(clCxt, &pyrlk_no_image, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
|
||||
}
|
||||
}
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||||
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void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &nextImg, const oclMat &prevPts, oclMat &nextPts, oclMat &status, oclMat *err)
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@ -527,7 +183,6 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
|
||||
{
|
||||
nextPts.release();
|
||||
status.release();
|
||||
//if (err) err->release();
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||||
return;
|
||||
}
|
||||
|
||||
@ -556,8 +211,7 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
|
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multiply(1.0f/(1<<maxLevel)/2.0f, temp1, temp2);
|
||||
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ensureSizeIsEnough(1, prevPts.cols, CV_8UC1, status);
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||||
//status.setTo(Scalar::all(1));
|
||||
setTo(status, Scalar::all(1));
|
||||
status.setTo(Scalar::all(1));
|
||||
|
||||
bool errMat = false;
|
||||
if (!err)
|
||||
@ -567,7 +221,6 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
|
||||
}
|
||||
else
|
||||
ensureSizeIsEnough(1, prevPts.cols, CV_32FC1, *err);
|
||||
//ensureSizeIsEnough(1, prevPts.cols, CV_32FC1, err);
|
||||
|
||||
// build the image pyramids.
|
||||
prevPyr_.resize(maxLevel + 1);
|
||||
@ -575,19 +228,8 @@ void cv::ocl::PyrLKOpticalFlow::sparse(const oclMat &prevImg, const oclMat &next
|
||||
|
||||
if (cn == 1 || cn == 4)
|
||||
{
|
||||
//prevImg.convertTo(prevPyr_[0], CV_32F);
|
||||
//nextImg.convertTo(nextPyr_[0], CV_32F);
|
||||
convertTo(prevImg, prevPyr_[0], CV_32F);
|
||||
convertTo(nextImg, nextPyr_[0], CV_32F);
|
||||
}
|
||||
else
|
||||
{
|
||||
//oclMat buf_;
|
||||
// cvtColor(prevImg, buf_, COLOR_BGR2BGRA);
|
||||
// buf_.convertTo(prevPyr_[0], CV_32F);
|
||||
|
||||
// cvtColor(nextImg, buf_, COLOR_BGR2BGRA);
|
||||
// buf_.convertTo(nextPyr_[0], CV_32F);
|
||||
prevImg.convertTo(prevPyr_[0], CV_32F);
|
||||
nextImg.convertTo(nextPyr_[0], CV_32F);
|
||||
}
|
||||
|
||||
for (int level = 1; level <= maxLevel; ++level)
|
||||
@ -646,11 +288,6 @@ static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
|
||||
JTex = (cl_mem)J.data;
|
||||
}
|
||||
|
||||
//int2 halfWin = {(winSize.width - 1) / 2, (winSize.height - 1) / 2};
|
||||
//const int patchWidth = 16 + 2 * halfWin.x;
|
||||
//const int patchHeight = 16 + 2 * halfWin.y;
|
||||
//size_t smem_size = 3 * patchWidth * patchHeight * sizeof(int);
|
||||
|
||||
std::vector<std::pair<size_t , const void *> > args;
|
||||
|
||||
args.push_back( std::make_pair( sizeof(cl_mem), (void *)&ITex ));
|
||||
@ -666,12 +303,10 @@ static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
|
||||
args.push_back( std::make_pair( sizeof(cl_int), (void *)&prevV.step ));
|
||||
args.push_back( std::make_pair( sizeof(cl_int), (void *)&I.rows ));
|
||||
args.push_back( std::make_pair( sizeof(cl_int), (void *)&I.cols ));
|
||||
//args.push_back( std::make_pair( sizeof(cl_mem), (void *)&(*err).data ));
|
||||
//args.push_back( std::make_pair( sizeof(cl_int), (void *)&(*err).step ));
|
||||
|
||||
if (!isImageSupported)
|
||||
{
|
||||
args.push_back( std::make_pair( sizeof(cl_int), (void *)&elemCntPerRow ) );
|
||||
}
|
||||
|
||||
args.push_back( std::make_pair( sizeof(cl_int), (void *)&winSize.width ));
|
||||
args.push_back( std::make_pair( sizeof(cl_int), (void *)&winSize.height ));
|
||||
args.push_back( std::make_pair( sizeof(cl_int), (void *)&iters ));
|
||||
@ -685,10 +320,7 @@ static void lkDense_run(oclMat &I, oclMat &J, oclMat &u, oclMat &v,
|
||||
releaseTexture(JTex);
|
||||
}
|
||||
else
|
||||
{
|
||||
//printf("Warning: The image2d_t is not supported by the device. Using alternative method!\n");
|
||||
openCLExecuteKernel2(clCxt, &pyrlk_no_image, kernelName, globalThreads, localThreads, args, I.oclchannels(), I.depth(), CLFLUSH);
|
||||
}
|
||||
}
|
||||
|
||||
void cv::ocl::PyrLKOpticalFlow::dense(const oclMat &prevImg, const oclMat &nextImg, oclMat &u, oclMat &v, oclMat *err)
|
||||
@ -705,8 +337,7 @@ void cv::ocl::PyrLKOpticalFlow::dense(const oclMat &prevImg, const oclMat &nextI
|
||||
nextPyr_.resize(maxLevel + 1);
|
||||
|
||||
prevPyr_[0] = prevImg;
|
||||
//nextImg.convertTo(nextPyr_[0], CV_32F);
|
||||
convertTo(nextImg, nextPyr_[0], CV_32F);
|
||||
nextImg.convertTo(nextPyr_[0], CV_32F);
|
||||
|
||||
for (int level = 1; level <= maxLevel; ++level)
|
||||
{
|
||||
@ -718,10 +349,8 @@ void cv::ocl::PyrLKOpticalFlow::dense(const oclMat &prevImg, const oclMat &nextI
|
||||
ensureSizeIsEnough(prevImg.size(), CV_32FC1, vPyr_[0]);
|
||||
ensureSizeIsEnough(prevImg.size(), CV_32FC1, uPyr_[1]);
|
||||
ensureSizeIsEnough(prevImg.size(), CV_32FC1, vPyr_[1]);
|
||||
//uPyr_[1].setTo(Scalar::all(0));
|
||||
//vPyr_[1].setTo(Scalar::all(0));
|
||||
setTo(uPyr_[1], Scalar::all(0));
|
||||
setTo(vPyr_[1], Scalar::all(0));
|
||||
uPyr_[1].setTo(Scalar::all(0));
|
||||
vPyr_[1].setTo(Scalar::all(0));
|
||||
|
||||
Size winSize2i(winSize.width, winSize.height);
|
||||
|
||||
@ -738,10 +367,8 @@ void cv::ocl::PyrLKOpticalFlow::dense(const oclMat &prevImg, const oclMat &nextI
|
||||
idx = idx2;
|
||||
}
|
||||
|
||||
//uPyr_[idx].copyTo(u);
|
||||
//vPyr_[idx].copyTo(v);
|
||||
copyTo(uPyr_[idx], u);
|
||||
copyTo(vPyr_[idx], v);
|
||||
uPyr_[idx].copyTo(u);
|
||||
vPyr_[idx].copyTo(v);
|
||||
|
||||
clFinish((cl_command_queue)prevImg.clCxt->oclCommandQueue());
|
||||
}
|
||||
|
@ -168,7 +168,7 @@ TEST_P(mog2, Update)
|
||||
cv::ocl::oclMat foreground = createMat_ocl(frame.size(), CV_8UC1, useRoi);
|
||||
|
||||
cv::Ptr<cv::BackgroundSubtractorMOG2> mog2_gold = createBackgroundSubtractorMOG2();
|
||||
mog2_gold->set("detectShadows", detectShadow);
|
||||
mog2_gold->setDetectShadows(detectShadow);
|
||||
cv::Mat foreground_gold;
|
||||
|
||||
for (int i = 0; i < 10; ++i)
|
||||
@ -210,7 +210,7 @@ TEST_P(mog2, getBackgroundImage)
|
||||
cv::ocl::oclMat foreground;
|
||||
|
||||
cv::Ptr<cv::BackgroundSubtractorMOG2> mog2_gold = createBackgroundSubtractorMOG2();
|
||||
mog2_gold->set("detectShadows", detectShadow);
|
||||
mog2_gold->setDetectShadows(detectShadow);
|
||||
cv::Mat foreground_gold;
|
||||
|
||||
for (int i = 0; i < 10; ++i)
|
||||
|
@ -251,7 +251,6 @@ TEST_P(Sparse, Mat)
|
||||
cv::Point2i b = nextPts_gold[i];
|
||||
|
||||
bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1;
|
||||
//float errdiff = std::abs(err[i] - err_gold[i]);
|
||||
float errdiff = 0.0f;
|
||||
|
||||
if (!eq || errdiff > 1e-1)
|
||||
@ -262,12 +261,10 @@ TEST_P(Sparse, Mat)
|
||||
double bad_ratio = static_cast<double>(mistmatch) / (nextPts.size());
|
||||
|
||||
ASSERT_LE(bad_ratio, 0.02f);
|
||||
|
||||
}
|
||||
|
||||
INSTANTIATE_TEST_CASE_P(OCL_Video, Sparse, Combine(
|
||||
Values(false, true),
|
||||
Values(false, true)));
|
||||
INSTANTIATE_TEST_CASE_P(OCL_Video, Sparse, Combine(Bool(), Bool()));
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// FarnebackOpticalFlow
|
||||
|
||||
|
Loading…
x
Reference in New Issue
Block a user