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Merge pull request #2055 from vbystricky:ocl_sepFilter2D
This commit is contained in:
Andrey Pavlenko
OpenCV Buildbot
commit
0913dd7ffa
@ -42,6 +42,7 @@
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#include "precomp.hpp"
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#include "opencl_kernels.hpp"
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#include <sstream>
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/****************************************************************************************\
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Base Image Filter
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@ -3314,6 +3315,246 @@ static bool ocl_filter2D( InputArray _src, OutputArray _dst, int ddepth,
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}
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return kernel.run(2, globalsize, localsize, true);
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}
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static bool ocl_sepRowFilter2D( UMat &src, UMat &buf, Mat &kernelX, int anchor, int borderType, bool sync)
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{
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int type = src.type();
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int cn = CV_MAT_CN(type);
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int sdepth = CV_MAT_DEPTH(type);
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Size bufSize = buf.size();
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#ifdef ANDROID
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size_t localsize[2] = {16, 10};
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#else
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size_t localsize[2] = {16, 16};
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#endif
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size_t globalsize[2] = {DIVUP(bufSize.width, localsize[0]) * localsize[0], DIVUP(bufSize.height, localsize[1]) * localsize[1]};
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if (CV_8U == sdepth)
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{
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switch (cn)
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{
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case 1:
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globalsize[0] = DIVUP((bufSize.width + 3) >> 2, localsize[0]) * localsize[0];
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break;
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case 2:
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globalsize[0] = DIVUP((bufSize.width + 1) >> 1, localsize[0]) * localsize[0];
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break;
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case 4:
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globalsize[0] = DIVUP(bufSize.width, localsize[0]) * localsize[0];
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break;
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}
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}
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int radiusX = anchor;
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int radiusY = (int)((buf.rows - src.rows) >> 1);
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bool isIsolatedBorder = (borderType & BORDER_ISOLATED) != 0;
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const char* btype = NULL;
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switch (borderType & ~BORDER_ISOLATED)
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{
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case BORDER_CONSTANT:
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btype = "BORDER_CONSTANT";
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break;
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case BORDER_REPLICATE:
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btype = "BORDER_REPLICATE";
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break;
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case BORDER_REFLECT:
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btype = "BORDER_REFLECT";
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break;
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case BORDER_WRAP:
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btype = "BORDER_WRAP";
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break;
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case BORDER_REFLECT101:
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btype = "BORDER_REFLECT_101";
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break;
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default:
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return false;
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}
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bool extra_extrapolation = src.rows < (int)((-radiusY + globalsize[1]) >> 1) + 1;
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extra_extrapolation |= src.rows < radiusY;
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extra_extrapolation |= src.cols < (int)((-radiusX + globalsize[0] + 8 * localsize[0] + 3) >> 1) + 1;
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extra_extrapolation |= src.cols < radiusX;
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cv::String build_options = cv::format("-D RADIUSX=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D %s -D %s -D %s",
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radiusX, (int)localsize[0], (int)localsize[1], cn,
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btype,
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extra_extrapolation ? "EXTRA_EXTRAPOLATION" : "NO_EXTRA_EXTRAPOLATION",
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isIsolatedBorder ? "BORDER_ISOLATED" : "NO_BORDER_ISOLATED");
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Size srcWholeSize; Point srcOffset;
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src.locateROI(srcWholeSize, srcOffset);
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std::stringstream strKernel;
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strKernel << "row_filter";
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if (-1 != cn)
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strKernel << "_C" << cn;
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if (-1 != sdepth)
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strKernel << "_D" << sdepth;
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ocl::Kernel kernelRow;
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if (!kernelRow.create(strKernel.str().c_str(), cv::ocl::imgproc::filterSepRow_oclsrc, build_options))
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return false;
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int idxArg = 0;
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idxArg = kernelRow.set(idxArg, ocl::KernelArg::PtrReadOnly(src));
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idxArg = kernelRow.set(idxArg, (int)(src.step / src.elemSize()));
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idxArg = kernelRow.set(idxArg, srcOffset.x);
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idxArg = kernelRow.set(idxArg, srcOffset.y);
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idxArg = kernelRow.set(idxArg, src.cols);
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idxArg = kernelRow.set(idxArg, src.rows);
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idxArg = kernelRow.set(idxArg, srcWholeSize.width);
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idxArg = kernelRow.set(idxArg, srcWholeSize.height);
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idxArg = kernelRow.set(idxArg, ocl::KernelArg::PtrWriteOnly(buf));
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idxArg = kernelRow.set(idxArg, (int)(buf.step / buf.elemSize()));
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idxArg = kernelRow.set(idxArg, buf.cols);
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idxArg = kernelRow.set(idxArg, buf.rows);
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idxArg = kernelRow.set(idxArg, radiusY);
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idxArg = kernelRow.set(idxArg, ocl::KernelArg::PtrReadOnly(kernelX.getUMat(ACCESS_READ)));
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return kernelRow.run(2, globalsize, localsize, sync);
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}
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static bool ocl_sepColFilter2D(UMat &buf, UMat &dst, Mat &kernelY, int anchor, bool sync)
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{
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#ifdef ANDROID
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size_t localsize[2] = {16, 10};
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#else
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size_t localsize[2] = {16, 16};
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#endif
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size_t globalsize[2] = {0, 0};
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int type = dst.type();
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int cn = CV_MAT_CN(type);
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int ddepth = CV_MAT_DEPTH(type);
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Size sz = dst.size();
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globalsize[1] = DIVUP(sz.height, localsize[1]) * localsize[1];
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cv::String build_options;
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if (CV_8U == ddepth)
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{
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switch (cn)
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{
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case 1:
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globalsize[0] = DIVUP(sz.width, localsize[0]) * localsize[0];
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build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D GENTYPE_SRC=%s -D GENTYPE_DST=%s -D convert_to_DST=%s",
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anchor, (int)localsize[0], (int)localsize[1], cn, "float", "uchar", "convert_uchar_sat");
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break;
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case 2:
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globalsize[0] = DIVUP((sz.width + 1) / 2, localsize[0]) * localsize[0];
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build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D GENTYPE_SRC=%s -D GENTYPE_DST=%s -D convert_to_DST=%s",
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anchor, (int)localsize[0], (int)localsize[1], cn, "float2", "uchar2", "convert_uchar2_sat");
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break;
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case 3:
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case 4:
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globalsize[0] = DIVUP(sz.width, localsize[0]) * localsize[0];
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build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D GENTYPE_SRC=%s -D GENTYPE_DST=%s -D convert_to_DST=%s",
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anchor, (int)localsize[0], (int)localsize[1], cn, "float4", "uchar4", "convert_uchar4_sat");
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break;
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}
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}
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else
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{
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globalsize[0] = DIVUP(sz.width, localsize[0]) * localsize[0];
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switch (dst.type())
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{
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case CV_32SC1:
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build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D GENTYPE_SRC=%s -D GENTYPE_DST=%s -D convert_to_DST=%s",
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anchor, (int)localsize[0], (int)localsize[1], cn, "float", "int", "convert_int_sat");
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break;
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case CV_32SC3:
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case CV_32SC4:
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build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D GENTYPE_SRC=%s -D GENTYPE_DST=%s -D convert_to_DST=%s",
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anchor, (int)localsize[0], (int)localsize[1], cn, "float4", "int4", "convert_int4_sat");
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break;
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case CV_32FC1:
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build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D GENTYPE_SRC=%s -D GENTYPE_DST=%s -D convert_to_DST=%s",
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anchor, (int)localsize[0], (int)localsize[1], cn, "float", "float", "");
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break;
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case CV_32FC3:
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case CV_32FC4:
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build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D GENTYPE_SRC=%s -D GENTYPE_DST=%s -D convert_to_DST=%s",
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anchor, (int)localsize[0], (int)localsize[1], cn, "float4", "float4", "");
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break;
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}
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}
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ocl::Kernel kernelCol;
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if (!kernelCol.create("col_filter", cv::ocl::imgproc::filterSepCol_oclsrc, build_options))
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return false;
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int idxArg = 0;
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idxArg = kernelCol.set(idxArg, ocl::KernelArg::PtrReadOnly(buf));
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idxArg = kernelCol.set(idxArg, (int)(buf.step / buf.elemSize()));
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idxArg = kernelCol.set(idxArg, buf.cols);
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idxArg = kernelCol.set(idxArg, buf.rows);
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idxArg = kernelCol.set(idxArg, ocl::KernelArg::PtrWriteOnly(dst));
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idxArg = kernelCol.set(idxArg, (int)(dst.offset / dst.elemSize()));
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idxArg = kernelCol.set(idxArg, (int)(dst.step / dst.elemSize()));
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idxArg = kernelCol.set(idxArg, dst.cols);
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idxArg = kernelCol.set(idxArg, dst.rows);
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idxArg = kernelCol.set(idxArg, ocl::KernelArg::PtrReadOnly(kernelY.getUMat(ACCESS_READ)));
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return kernelCol.run(2, globalsize, localsize, sync);
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}
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static bool ocl_sepFilter2D( InputArray _src, OutputArray _dst, int ddepth,
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InputArray _kernelX, InputArray _kernelY, Point anchor,
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double delta, int borderType )
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{
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if (abs(delta)> FLT_MIN)
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return false;
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int type = _src.type();
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if ((CV_8UC1 != type) && (CV_8UC4 == type) &&
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(CV_32FC1 != type) && (CV_32FC4 == type))
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return false;
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int cn = CV_MAT_CN(type);
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Mat kernelX = _kernelX.getMat().reshape(1, 1);
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if (1 != (kernelX.cols % 2))
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return false;
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Mat kernelY = _kernelY.getMat().reshape(1, 1);
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if (1 != (kernelY.cols % 2))
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return false;
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int sdepth = CV_MAT_DEPTH(type);
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if( anchor.x < 0 )
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anchor.x = kernelX.cols >> 1;
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if( anchor.y < 0 )
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anchor.y = kernelY.cols >> 1;
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if( ddepth < 0 )
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ddepth = sdepth;
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else if (ddepth != sdepth)
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return false;
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UMat src = _src.getUMat();
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Size srcWholeSize; Point srcOffset;
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src.locateROI(srcWholeSize, srcOffset);
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if ( (0 != (srcOffset.x % 4)) ||
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(0 != (src.cols % 4)) ||
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(0 != ((src.step / src.elemSize()) % 4))
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)
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{
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return false;
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}
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Size srcSize = src.size();
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Size bufSize(srcSize.width, srcSize.height + kernelY.cols - 1);
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UMat buf; buf.create(bufSize, CV_MAKETYPE(CV_32F, cn));
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if (!ocl_sepRowFilter2D(src, buf, kernelX, anchor.x, borderType, true))
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return false;
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_dst.create(srcSize, CV_MAKETYPE(ddepth, cn));
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UMat dst = _dst.getUMat();
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return ocl_sepColFilter2D(buf, dst, kernelY, anchor.y, true);
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}
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}
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cv::Ptr<cv::BaseFilter> cv::getLinearFilter(int srcType, int dstType,
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@ -3481,6 +3722,10 @@ void cv::sepFilter2D( InputArray _src, OutputArray _dst, int ddepth,
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InputArray _kernelX, InputArray _kernelY, Point anchor,
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double delta, int borderType )
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{
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bool use_opencl = ocl::useOpenCL() && _dst.isUMat();
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if( use_opencl && ocl_sepFilter2D(_src, _dst, ddepth, _kernelX, _kernelY, anchor, delta, borderType))
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return;
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Mat src = _src.getMat(), kernelX = _kernelX.getMat(), kernelY = _kernelY.getMat();
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if( ddepth < 0 )
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116
modules/imgproc/src/opencl/filterSepCol.cl
Normal file
116
modules/imgproc/src/opencl/filterSepCol.cl
Normal file
@ -0,0 +1,116 @@
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
|
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Niko Li, newlife20080214@gmail.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
|
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//
|
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// * Redistribution's of source code must retain the above copyright notice,
|
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// this list of conditions and the following disclaimer.
|
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//
|
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// * Redistribution's in binary form must reproduce the above copyright notice,
|
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// this list of conditions and the following disclaimer in the documentation
|
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
|
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
|
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
|
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// or tort (including negligence or otherwise) arising in any way out of
|
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// the use of this software, even if advised of the possibility of such damage.
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//
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//
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#define READ_TIMES_COL ((2*(RADIUSY+LSIZE1)-1)/LSIZE1)
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#define RADIUS 1
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#if CN ==1
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#define ALIGN (((RADIUS)+3)>>2<<2)
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#elif CN==2
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#define ALIGN (((RADIUS)+1)>>1<<1)
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#elif CN==3
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#define ALIGN (((RADIUS)+3)>>2<<2)
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#elif CN==4
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#define ALIGN (RADIUS)
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#define READ_TIMES_ROW ((2*(RADIUS+LSIZE0)-1)/LSIZE0)
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#endif
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/**********************************************************************************
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These kernels are written for separable filters such as Sobel, Scharr, GaussianBlur.
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Now(6/29/2011) the kernels only support 8U data type and the anchor of the convovle
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kernel must be in the center. ROI is not supported either.
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Each kernels read 4 elements(not 4 pixels), save them to LDS and read the data needed
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from LDS to calculate the result.
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The length of the convovle kernel supported is only related to the MAX size of LDS,
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which is HW related.
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Niko
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6/29/2011
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The info above maybe obsolete.
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***********************************************************************************/
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__kernel __attribute__((reqd_work_group_size(LSIZE0,LSIZE1,1))) void col_filter
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(__global const GENTYPE_SRC * restrict src,
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const int src_step_in_pixel,
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const int src_whole_cols,
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const int src_whole_rows,
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__global GENTYPE_DST * dst,
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const int dst_offset_in_pixel,
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const int dst_step_in_pixel,
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const int dst_cols,
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const int dst_rows,
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__constant float * mat_kernel __attribute__((max_constant_size(4*(2*RADIUSY+1)))))
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{
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int x = get_global_id(0);
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int y = get_global_id(1);
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int l_x = get_local_id(0);
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int l_y = get_local_id(1);
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int start_addr = mad24(y, src_step_in_pixel, x);
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int end_addr = mad24(src_whole_rows - 1, src_step_in_pixel, src_whole_cols);
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int i;
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GENTYPE_SRC sum, temp[READ_TIMES_COL];
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__local GENTYPE_SRC LDS_DAT[LSIZE1 * READ_TIMES_COL][LSIZE0 + 1];
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//read pixels from src
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for(i = 0;i<READ_TIMES_COL;i++)
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{
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int current_addr = start_addr+i*LSIZE1*src_step_in_pixel;
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current_addr = current_addr < end_addr ? current_addr : 0;
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temp[i] = src[current_addr];
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}
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//save pixels to lds
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for(i = 0;i<READ_TIMES_COL;i++)
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{
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LDS_DAT[l_y+i*LSIZE1][l_x] = temp[i];
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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//read pixels from lds and calculate the result
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sum = LDS_DAT[l_y+RADIUSY][l_x]*mat_kernel[RADIUSY];
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for(i=1;i<=RADIUSY;i++)
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{
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temp[0]=LDS_DAT[l_y+RADIUSY-i][l_x];
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temp[1]=LDS_DAT[l_y+RADIUSY+i][l_x];
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sum += temp[0] * mat_kernel[RADIUSY-i]+temp[1] * mat_kernel[RADIUSY+i];
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}
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//write the result to dst
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if((x<dst_cols) & (y<dst_rows))
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{
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start_addr = mad24(y, dst_step_in_pixel, x + dst_offset_in_pixel);
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dst[start_addr] = convert_to_DST(sum);
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}
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}
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570
modules/imgproc/src/opencl/filterSepRow.cl
Normal file
570
modules/imgproc/src/opencl/filterSepRow.cl
Normal file
@ -0,0 +1,570 @@
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
|
||||
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// @Authors
|
||||
// Niko Li, newlife20080214@gmail.com
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors as is and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//
|
||||
|
||||
#define READ_TIMES_ROW ((2*(RADIUSX+LSIZE0)-1)/LSIZE0) //for c4 only
|
||||
#define READ_TIMES_COL ((2*(RADIUSY+LSIZE1)-1)/LSIZE1)
|
||||
//#pragma OPENCL EXTENSION cl_amd_printf : enable
|
||||
#define RADIUS 1
|
||||
#if CN ==1
|
||||
#define ALIGN (((RADIUS)+3)>>2<<2)
|
||||
#elif CN==2
|
||||
#define ALIGN (((RADIUS)+1)>>1<<1)
|
||||
#elif CN==3
|
||||
#define ALIGN (((RADIUS)+3)>>2<<2)
|
||||
#elif CN==4
|
||||
#define ALIGN (RADIUS)
|
||||
#endif
|
||||
|
||||
#ifdef BORDER_REPLICATE
|
||||
//BORDER_REPLICATE: aaaaaa|abcdefgh|hhhhhhh
|
||||
#define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (l_edge) : (i))
|
||||
#define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (r_edge)-1 : (addr))
|
||||
#endif
|
||||
|
||||
#ifdef BORDER_REFLECT
|
||||
//BORDER_REFLECT: fedcba|abcdefgh|hgfedcb
|
||||
#define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i)-1 : (i))
|
||||
#define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-1+((r_edge)<<1) : (addr))
|
||||
#endif
|
||||
|
||||
#ifdef BORDER_REFLECT_101
|
||||
//BORDER_REFLECT_101: gfedcb|abcdefgh|gfedcba
|
||||
#define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i) : (i))
|
||||
#define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-2+((r_edge)<<1) : (addr))
|
||||
#endif
|
||||
|
||||
//blur function does not support BORDER_WRAP
|
||||
#ifdef BORDER_WRAP
|
||||
//BORDER_WRAP: cdefgh|abcdefgh|abcdefg
|
||||
#define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (i)+(r_edge) : (i))
|
||||
#define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (i)-(r_edge) : (addr))
|
||||
#endif
|
||||
|
||||
#ifdef EXTRA_EXTRAPOLATION // border > src image size
|
||||
#ifdef BORDER_CONSTANT
|
||||
#define ELEM(i,l_edge,r_edge,elem1,elem2) (i)<(l_edge) | (i) >= (r_edge) ? (elem1) : (elem2)
|
||||
#elif defined BORDER_REPLICATE
|
||||
#define EXTRAPOLATE(t, minT, maxT) \
|
||||
{ \
|
||||
t = max(min(t, (maxT) - 1), (minT)); \
|
||||
}
|
||||
#elif defined BORDER_WRAP
|
||||
#define EXTRAPOLATE(x, minT, maxT) \
|
||||
{ \
|
||||
if (t < (minT)) \
|
||||
t -= ((t - (maxT) + 1) / (maxT)) * (maxT); \
|
||||
if (t >= (maxT)) \
|
||||
t %= (maxT); \
|
||||
}
|
||||
#elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT_101)
|
||||
#define EXTRAPOLATE_(t, minT, maxT, delta) \
|
||||
{ \
|
||||
if ((maxT) - (minT) == 1) \
|
||||
t = (minT); \
|
||||
else \
|
||||
do \
|
||||
{ \
|
||||
if (t < (minT)) \
|
||||
t = (minT) - (t - (minT)) - 1 + delta; \
|
||||
else \
|
||||
t = (maxT) - 1 - (t - (maxT)) - delta; \
|
||||
} \
|
||||
while (t >= (maxT) || t < (minT)); \
|
||||
\
|
||||
}
|
||||
#ifdef BORDER_REFLECT
|
||||
#define EXTRAPOLATE(t, minT, maxT) EXTRAPOLATE_(t, minT, maxT, 0)
|
||||
#elif defined(BORDER_REFLECT_101)
|
||||
#define EXTRAPOLATE(t, minT, maxT) EXTRAPOLATE_(t, minT, maxT, 1)
|
||||
#endif
|
||||
#else
|
||||
#error No extrapolation method
|
||||
#endif //BORDER_....
|
||||
#else //EXTRA_EXTRAPOLATION
|
||||
#ifdef BORDER_CONSTANT
|
||||
#define ELEM(i,l_edge,r_edge,elem1,elem2) (i)<(l_edge) | (i) >= (r_edge) ? (elem1) : (elem2)
|
||||
#else
|
||||
#define EXTRAPOLATE(t, minT, maxT) \
|
||||
{ \
|
||||
int _delta = t - (minT); \
|
||||
_delta = ADDR_L(_delta, 0, (maxT) - (minT)); \
|
||||
_delta = ADDR_R(_delta, (maxT) - (minT), _delta); \
|
||||
t = _delta + (minT); \
|
||||
}
|
||||
#endif //BORDER_CONSTANT
|
||||
#endif //EXTRA_EXTRAPOLATION
|
||||
|
||||
/**********************************************************************************
|
||||
These kernels are written for separable filters such as Sobel, Scharr, GaussianBlur.
|
||||
Now(6/29/2011) the kernels only support 8U data type and the anchor of the convovle
|
||||
kernel must be in the center. ROI is not supported either.
|
||||
For channels =1,2,4, each kernels read 4 elements(not 4 pixels), and for channels =3,
|
||||
the kernel read 4 pixels, save them to LDS and read the data needed from LDS to
|
||||
calculate the result.
|
||||
The length of the convovle kernel supported is related to the LSIZE0 and the MAX size
|
||||
of LDS, which is HW related.
|
||||
For channels = 1,3 the RADIUS is no more than LSIZE0*2
|
||||
For channels = 2, the RADIUS is no more than LSIZE0
|
||||
For channels = 4, arbitary RADIUS is supported unless the LDS is not enough
|
||||
Niko
|
||||
6/29/2011
|
||||
The info above maybe obsolete.
|
||||
***********************************************************************************/
|
||||
|
||||
__kernel __attribute__((reqd_work_group_size(LSIZE0,LSIZE1,1))) void row_filter_C1_D0
|
||||
(__global uchar * restrict src,
|
||||
int src_step_in_pixel,
|
||||
int src_offset_x, int src_offset_y,
|
||||
int src_cols, int src_rows,
|
||||
int src_whole_cols, int src_whole_rows,
|
||||
__global float * dst,
|
||||
int dst_step_in_pixel,
|
||||
int dst_cols, int dst_rows,
|
||||
int radiusy,
|
||||
__constant float * mat_kernel __attribute__((max_constant_size(4*(2*RADIUSX+1)))))
|
||||
{
|
||||
int x = get_global_id(0)<<2;
|
||||
int y = get_global_id(1);
|
||||
int l_x = get_local_id(0);
|
||||
int l_y = get_local_id(1);
|
||||
|
||||
int start_x = x+src_offset_x - RADIUSX & 0xfffffffc;
|
||||
int offset = src_offset_x - RADIUSX & 3;
|
||||
int start_y = y + src_offset_y - radiusy;
|
||||
int start_addr = mad24(start_y, src_step_in_pixel, start_x);
|
||||
int i;
|
||||
float4 sum;
|
||||
uchar4 temp[READ_TIMES_ROW];
|
||||
|
||||
__local uchar4 LDS_DAT[LSIZE1][READ_TIMES_ROW*LSIZE0+1];
|
||||
#ifdef BORDER_CONSTANT
|
||||
int end_addr = mad24(src_whole_rows - 1, src_step_in_pixel, src_whole_cols);
|
||||
|
||||
// read pixels from src
|
||||
for (i = 0; i < READ_TIMES_ROW; i++)
|
||||
{
|
||||
int current_addr = start_addr+i*LSIZE0*4;
|
||||
current_addr = ((current_addr < end_addr) && (current_addr > 0)) ? current_addr : 0;
|
||||
temp[i] = *(__global uchar4*)&src[current_addr];
|
||||
}
|
||||
|
||||
// judge if read out of boundary
|
||||
#ifdef BORDER_ISOLATED
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i].x = ELEM(start_x+i*LSIZE0*4, src_offset_x, src_offset_x + src_cols, 0, temp[i].x);
|
||||
temp[i].y = ELEM(start_x+i*LSIZE0*4+1, src_offset_x, src_offset_x + src_cols, 0, temp[i].y);
|
||||
temp[i].z = ELEM(start_x+i*LSIZE0*4+2, src_offset_x, src_offset_x + src_cols, 0, temp[i].z);
|
||||
temp[i].w = ELEM(start_x+i*LSIZE0*4+3, src_offset_x, src_offset_x + src_cols, 0, temp[i].w);
|
||||
temp[i] = ELEM(start_y, src_offset_y, src_offset_y + src_rows, (uchar4)0, temp[i]);
|
||||
}
|
||||
#else
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i].x = ELEM(start_x+i*LSIZE0*4, 0, src_whole_cols, 0, temp[i].x);
|
||||
temp[i].y = ELEM(start_x+i*LSIZE0*4+1, 0, src_whole_cols, 0, temp[i].y);
|
||||
temp[i].z = ELEM(start_x+i*LSIZE0*4+2, 0, src_whole_cols, 0, temp[i].z);
|
||||
temp[i].w = ELEM(start_x+i*LSIZE0*4+3, 0, src_whole_cols, 0, temp[i].w);
|
||||
temp[i] = ELEM(start_y, 0, src_whole_rows, (uchar4)0, temp[i]);
|
||||
}
|
||||
#endif
|
||||
#else // BORDER_CONSTANT
|
||||
#ifdef BORDER_ISOLATED
|
||||
int not_all_in_range = (start_x<src_offset_x) | (start_x + READ_TIMES_ROW*LSIZE0*4+4>src_offset_x + src_cols)| (start_y<src_offset_y) | (start_y >= src_offset_y + src_rows);
|
||||
#else
|
||||
int not_all_in_range = (start_x<0) | (start_x + READ_TIMES_ROW*LSIZE0*4+4>src_whole_cols)| (start_y<0) | (start_y >= src_whole_rows);
|
||||
#endif
|
||||
int4 index[READ_TIMES_ROW];
|
||||
int4 addr;
|
||||
int s_y;
|
||||
|
||||
if (not_all_in_range)
|
||||
{
|
||||
// judge if read out of boundary
|
||||
for (i = 0; i < READ_TIMES_ROW; i++)
|
||||
{
|
||||
index[i] = (int4)(start_x+i*LSIZE0*4) + (int4)(0, 1, 2, 3);
|
||||
#ifdef BORDER_ISOLATED
|
||||
EXTRAPOLATE(index[i].x, src_offset_x, src_offset_x + src_cols);
|
||||
EXTRAPOLATE(index[i].y, src_offset_x, src_offset_x + src_cols);
|
||||
EXTRAPOLATE(index[i].z, src_offset_x, src_offset_x + src_cols);
|
||||
EXTRAPOLATE(index[i].w, src_offset_x, src_offset_x + src_cols);
|
||||
#else
|
||||
EXTRAPOLATE(index[i].x, 0, src_whole_cols);
|
||||
EXTRAPOLATE(index[i].y, 0, src_whole_cols);
|
||||
EXTRAPOLATE(index[i].z, 0, src_whole_cols);
|
||||
EXTRAPOLATE(index[i].w, 0, src_whole_cols);
|
||||
#endif
|
||||
}
|
||||
s_y = start_y;
|
||||
#ifdef BORDER_ISOLATED
|
||||
EXTRAPOLATE(s_y, src_offset_y, src_offset_y + src_rows);
|
||||
#else
|
||||
EXTRAPOLATE(s_y, 0, src_whole_rows);
|
||||
#endif
|
||||
|
||||
// read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
addr = mad24((int4)s_y,(int4)src_step_in_pixel,index[i]);
|
||||
temp[i].x = src[addr.x];
|
||||
temp[i].y = src[addr.y];
|
||||
temp[i].z = src[addr.z];
|
||||
temp[i].w = src[addr.w];
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
// read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
temp[i] = *(__global uchar4*)&src[start_addr+i*LSIZE0*4];
|
||||
}
|
||||
#endif //BORDER_CONSTANT
|
||||
|
||||
// save pixels to lds
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
LDS_DAT[l_y][l_x+i*LSIZE0]=temp[i];
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
|
||||
// read pixels from lds and calculate the result
|
||||
sum =convert_float4(vload4(0,(__local uchar*)&LDS_DAT[l_y][l_x]+RADIUSX+offset))*mat_kernel[RADIUSX];
|
||||
for (i=1; i<=RADIUSX; i++)
|
||||
{
|
||||
temp[0] = vload4(0, (__local uchar*)&LDS_DAT[l_y][l_x] + RADIUSX + offset - i);
|
||||
temp[1] = vload4(0, (__local uchar*)&LDS_DAT[l_y][l_x] + RADIUSX + offset + i);
|
||||
sum += convert_float4(temp[0]) * mat_kernel[RADIUSX-i] + convert_float4(temp[1]) * mat_kernel[RADIUSX+i];
|
||||
}
|
||||
|
||||
start_addr = mad24(y,dst_step_in_pixel,x);
|
||||
|
||||
// write the result to dst
|
||||
if ((x+3<dst_cols) & (y<dst_rows))
|
||||
*(__global float4*)&dst[start_addr] = sum;
|
||||
else if ((x+2<dst_cols) && (y<dst_rows))
|
||||
{
|
||||
dst[start_addr] = sum.x;
|
||||
dst[start_addr+1] = sum.y;
|
||||
dst[start_addr+2] = sum.z;
|
||||
}
|
||||
else if ((x+1<dst_cols) && (y<dst_rows))
|
||||
{
|
||||
dst[start_addr] = sum.x;
|
||||
dst[start_addr+1] = sum.y;
|
||||
}
|
||||
else if (x<dst_cols && y<dst_rows)
|
||||
dst[start_addr] = sum.x;
|
||||
}
|
||||
|
||||
__kernel __attribute__((reqd_work_group_size(LSIZE0,LSIZE1,1))) void row_filter_C4_D0
|
||||
(__global uchar4 * restrict src,
|
||||
int src_step_in_pixel,
|
||||
int src_offset_x, int src_offset_y,
|
||||
int src_cols, int src_rows,
|
||||
int src_whole_cols, int src_whole_rows,
|
||||
__global float4 * dst,
|
||||
int dst_step_in_pixel,
|
||||
int dst_cols, int dst_rows,
|
||||
int radiusy,
|
||||
__constant float * mat_kernel __attribute__((max_constant_size(4*(2*RADIUSX+1)))))
|
||||
{
|
||||
int x = get_global_id(0);
|
||||
int y = get_global_id(1);
|
||||
int l_x = get_local_id(0);
|
||||
int l_y = get_local_id(1);
|
||||
int start_x = x+src_offset_x-RADIUSX;
|
||||
int start_y = y+src_offset_y-radiusy;
|
||||
int start_addr = mad24(start_y,src_step_in_pixel,start_x);
|
||||
int i;
|
||||
float4 sum;
|
||||
uchar4 temp[READ_TIMES_ROW];
|
||||
|
||||
__local uchar4 LDS_DAT[LSIZE1][READ_TIMES_ROW*LSIZE0+1];
|
||||
#ifdef BORDER_CONSTANT
|
||||
int end_addr = mad24(src_whole_rows - 1,src_step_in_pixel,src_whole_cols);
|
||||
|
||||
// read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
int current_addr = start_addr+i*LSIZE0;
|
||||
current_addr = ((current_addr < end_addr) && (current_addr > 0)) ? current_addr : 0;
|
||||
temp[i] = src[current_addr];
|
||||
}
|
||||
|
||||
//judge if read out of boundary
|
||||
#ifdef BORDER_ISOLATED
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i]= ELEM(start_x+i*LSIZE0, src_offset_x, src_offset_x + src_cols, (uchar4)0, temp[i]);
|
||||
temp[i]= ELEM(start_y, src_offset_y, src_offset_y + src_rows, (uchar4)0, temp[i]);
|
||||
}
|
||||
#else
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i]= ELEM(start_x+i*LSIZE0, 0, src_whole_cols, (uchar4)0, temp[i]);
|
||||
temp[i]= ELEM(start_y, 0, src_whole_rows, (uchar4)0, temp[i]);
|
||||
}
|
||||
#endif
|
||||
#else
|
||||
int index[READ_TIMES_ROW];
|
||||
int s_x,s_y;
|
||||
|
||||
// judge if read out of boundary
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
s_x = start_x+i*LSIZE0;
|
||||
s_y = start_y;
|
||||
#ifdef BORDER_ISOLATED
|
||||
EXTRAPOLATE(s_x, src_offset_x, src_offset_x + src_cols);
|
||||
EXTRAPOLATE(s_y, src_offset_y, src_offset_y + src_rows);
|
||||
#else
|
||||
EXTRAPOLATE(s_x, 0, src_whole_cols);
|
||||
EXTRAPOLATE(s_y, 0, src_whole_rows);
|
||||
#endif
|
||||
index[i]=mad24(s_y, src_step_in_pixel, s_x);
|
||||
}
|
||||
|
||||
//read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
temp[i] = src[index[i]];
|
||||
#endif //BORDER_CONSTANT
|
||||
|
||||
//save pixels to lds
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
LDS_DAT[l_y][l_x+i*LSIZE0]=temp[i];
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
|
||||
//read pixels from lds and calculate the result
|
||||
sum =convert_float4(LDS_DAT[l_y][l_x+RADIUSX])*mat_kernel[RADIUSX];
|
||||
for (i=1; i<=RADIUSX; i++)
|
||||
{
|
||||
temp[0]=LDS_DAT[l_y][l_x+RADIUSX-i];
|
||||
temp[1]=LDS_DAT[l_y][l_x+RADIUSX+i];
|
||||
sum += convert_float4(temp[0])*mat_kernel[RADIUSX-i]+convert_float4(temp[1])*mat_kernel[RADIUSX+i];
|
||||
}
|
||||
//write the result to dst
|
||||
if (x<dst_cols && y<dst_rows)
|
||||
{
|
||||
start_addr = mad24(y,dst_step_in_pixel,x);
|
||||
dst[start_addr] = sum;
|
||||
}
|
||||
}
|
||||
|
||||
__kernel __attribute__((reqd_work_group_size(LSIZE0,LSIZE1,1))) void row_filter_C1_D5
|
||||
(__global float * restrict src,
|
||||
int src_step_in_pixel,
|
||||
int src_offset_x, int src_offset_y,
|
||||
int src_cols, int src_rows,
|
||||
int src_whole_cols, int src_whole_rows,
|
||||
__global float * dst,
|
||||
int dst_step_in_pixel,
|
||||
int dst_cols, int dst_rows,
|
||||
int radiusy,
|
||||
__constant float * mat_kernel __attribute__((max_constant_size(4*(2*RADIUSX+1)))))
|
||||
{
|
||||
int x = get_global_id(0);
|
||||
int y = get_global_id(1);
|
||||
int l_x = get_local_id(0);
|
||||
int l_y = get_local_id(1);
|
||||
int start_x = x+src_offset_x-RADIUSX;
|
||||
int start_y = y+src_offset_y-radiusy;
|
||||
int start_addr = mad24(start_y,src_step_in_pixel,start_x);
|
||||
int i;
|
||||
float sum;
|
||||
float temp[READ_TIMES_ROW];
|
||||
|
||||
__local float LDS_DAT[LSIZE1][READ_TIMES_ROW*LSIZE0+1];
|
||||
#ifdef BORDER_CONSTANT
|
||||
int end_addr = mad24(src_whole_rows - 1,src_step_in_pixel,src_whole_cols);
|
||||
|
||||
// read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
int current_addr = start_addr+i*LSIZE0;
|
||||
current_addr = ((current_addr < end_addr) && (current_addr > 0)) ? current_addr : 0;
|
||||
temp[i] = src[current_addr];
|
||||
}
|
||||
|
||||
// judge if read out of boundary
|
||||
#ifdef BORDER_ISOLATED
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i]= ELEM(start_x+i*LSIZE0, src_offset_x, src_offset_x + src_cols, (float)0,temp[i]);
|
||||
temp[i]= ELEM(start_y, src_offset_y, src_offset_y + src_rows, (float)0,temp[i]);
|
||||
}
|
||||
#else
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i]= ELEM(start_x+i*LSIZE0, 0, src_whole_cols, (float)0,temp[i]);
|
||||
temp[i]= ELEM(start_y, 0, src_whole_rows, (float)0,temp[i]);
|
||||
}
|
||||
#endif
|
||||
#else // BORDER_CONSTANT
|
||||
int index[READ_TIMES_ROW];
|
||||
int s_x,s_y;
|
||||
// judge if read out of boundary
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
s_x = start_x + i*LSIZE0, s_y = start_y;
|
||||
#ifdef BORDER_ISOLATED
|
||||
EXTRAPOLATE(s_x, src_offset_x, src_offset_x + src_cols);
|
||||
EXTRAPOLATE(s_y, src_offset_y, src_offset_y + src_rows);
|
||||
#else
|
||||
EXTRAPOLATE(s_x, 0, src_whole_cols);
|
||||
EXTRAPOLATE(s_y, 0, src_whole_rows);
|
||||
#endif
|
||||
|
||||
index[i]=mad24(s_y, src_step_in_pixel, s_x);
|
||||
}
|
||||
// read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
temp[i] = src[index[i]];
|
||||
#endif// BORDER_CONSTANT
|
||||
|
||||
//save pixels to lds
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
LDS_DAT[l_y][l_x+i*LSIZE0]=temp[i];
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
|
||||
// read pixels from lds and calculate the result
|
||||
sum =LDS_DAT[l_y][l_x+RADIUSX]*mat_kernel[RADIUSX];
|
||||
for (i=1; i<=RADIUSX; i++)
|
||||
{
|
||||
temp[0]=LDS_DAT[l_y][l_x+RADIUSX-i];
|
||||
temp[1]=LDS_DAT[l_y][l_x+RADIUSX+i];
|
||||
sum += temp[0]*mat_kernel[RADIUSX-i]+temp[1]*mat_kernel[RADIUSX+i];
|
||||
}
|
||||
|
||||
// write the result to dst
|
||||
if (x<dst_cols && y<dst_rows)
|
||||
{
|
||||
start_addr = mad24(y,dst_step_in_pixel,x);
|
||||
dst[start_addr] = sum;
|
||||
}
|
||||
}
|
||||
|
||||
__kernel __attribute__((reqd_work_group_size(LSIZE0,LSIZE1,1))) void row_filter_C4_D5
|
||||
(__global float4 * restrict src,
|
||||
int src_step_in_pixel,
|
||||
int src_offset_x, int src_offset_y,
|
||||
int src_cols, int src_rows,
|
||||
int src_whole_cols, int src_whole_rows,
|
||||
__global float4 * dst,
|
||||
int dst_step_in_pixel,
|
||||
int dst_cols, int dst_rows,
|
||||
int radiusy,
|
||||
__constant float * mat_kernel __attribute__((max_constant_size(4*(2*RADIUSX+1)))))
|
||||
{
|
||||
int x = get_global_id(0);
|
||||
int y = get_global_id(1);
|
||||
int l_x = get_local_id(0);
|
||||
int l_y = get_local_id(1);
|
||||
int start_x = x+src_offset_x-RADIUSX;
|
||||
int start_y = y+src_offset_y-radiusy;
|
||||
int start_addr = mad24(start_y,src_step_in_pixel,start_x);
|
||||
int i;
|
||||
float4 sum;
|
||||
float4 temp[READ_TIMES_ROW];
|
||||
|
||||
__local float4 LDS_DAT[LSIZE1][READ_TIMES_ROW*LSIZE0+1];
|
||||
#ifdef BORDER_CONSTANT
|
||||
int end_addr = mad24(src_whole_rows - 1,src_step_in_pixel,src_whole_cols);
|
||||
|
||||
// read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
int current_addr = start_addr+i*LSIZE0;
|
||||
current_addr = ((current_addr < end_addr) && (current_addr > 0)) ? current_addr : 0;
|
||||
temp[i] = src[current_addr];
|
||||
}
|
||||
|
||||
// judge if read out of boundary
|
||||
#ifdef BORDER_ISOLATED
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i]= ELEM(start_x+i*LSIZE0, src_offset_x, src_offset_x + src_cols, (float4)0,temp[i]);
|
||||
temp[i]= ELEM(start_y, src_offset_y, src_offset_y + src_rows, (float4)0,temp[i]);
|
||||
}
|
||||
#else
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
temp[i]= ELEM(start_x+i*LSIZE0, 0, src_whole_cols, (float4)0,temp[i]);
|
||||
temp[i]= ELEM(start_y, 0, src_whole_rows, (float4)0,temp[i]);
|
||||
}
|
||||
#endif
|
||||
#else
|
||||
int index[READ_TIMES_ROW];
|
||||
int s_x,s_y;
|
||||
|
||||
// judge if read out of boundary
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
{
|
||||
s_x = start_x + i*LSIZE0, s_y = start_y;
|
||||
#ifdef BORDER_ISOLATED
|
||||
EXTRAPOLATE(s_x, src_offset_x, src_offset_x + src_cols);
|
||||
EXTRAPOLATE(s_y, src_offset_y, src_offset_y + src_rows);
|
||||
#else
|
||||
EXTRAPOLATE(s_x, 0, src_whole_cols);
|
||||
EXTRAPOLATE(s_y, 0, src_whole_rows);
|
||||
#endif
|
||||
|
||||
index[i]=mad24(s_y,src_step_in_pixel,s_x);
|
||||
}
|
||||
// read pixels from src
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
temp[i] = src[index[i]];
|
||||
#endif
|
||||
|
||||
// save pixels to lds
|
||||
for (i = 0; i<READ_TIMES_ROW; i++)
|
||||
LDS_DAT[l_y][l_x+i*LSIZE0]=temp[i];
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
|
||||
// read pixels from lds and calculate the result
|
||||
sum =LDS_DAT[l_y][l_x+RADIUSX]*mat_kernel[RADIUSX];
|
||||
for (i=1; i<=RADIUSX; i++)
|
||||
{
|
||||
temp[0]=LDS_DAT[l_y][l_x+RADIUSX-i];
|
||||
temp[1]=LDS_DAT[l_y][l_x+RADIUSX+i];
|
||||
sum += temp[0]*mat_kernel[RADIUSX-i]+temp[1]*mat_kernel[RADIUSX+i];
|
||||
}
|
||||
|
||||
// write the result to dst
|
||||
if (x<dst_cols && y<dst_rows)
|
||||
{
|
||||
start_addr = mad24(y,dst_step_in_pixel,x);
|
||||
dst[start_addr] = sum;
|
||||
}
|
||||
}
|
||||
147
modules/imgproc/test/ocl/test_sepfilter2D.cpp
Normal file
147
modules/imgproc/test/ocl/test_sepfilter2D.cpp
Normal file
@ -0,0 +1,147 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
|
||||
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
|
||||
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#include "test_precomp.hpp"
|
||||
#include "opencv2/ts/ocl_test.hpp"
|
||||
|
||||
#ifdef HAVE_OPENCL
|
||||
|
||||
namespace cvtest {
|
||||
namespace ocl {
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// sepFilter2D
|
||||
PARAM_TEST_CASE(SepFilter2D, MatDepth, Channels, BorderType, bool, bool)
|
||||
{
|
||||
static const int kernelMinSize = 2;
|
||||
static const int kernelMaxSize = 10;
|
||||
|
||||
int type;
|
||||
Point anchor;
|
||||
int borderType;
|
||||
bool useRoi;
|
||||
Mat kernelX, kernelY;
|
||||
|
||||
TEST_DECLARE_INPUT_PARAMETER(src)
|
||||
TEST_DECLARE_OUTPUT_PARAMETER(dst)
|
||||
|
||||
virtual void SetUp()
|
||||
{
|
||||
type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
|
||||
borderType = GET_PARAM(2) | (GET_PARAM(3) ? BORDER_ISOLATED : 0);
|
||||
useRoi = GET_PARAM(4);
|
||||
}
|
||||
|
||||
void random_roi()
|
||||
{
|
||||
Size ksize = randomSize(kernelMinSize, kernelMaxSize);
|
||||
if (1 != (ksize.width % 2))
|
||||
ksize.width++;
|
||||
if (1 != (ksize.height % 2))
|
||||
ksize.height++;
|
||||
Mat temp = randomMat(Size(ksize.width, 1), CV_MAKE_TYPE(CV_32F, 1), -MAX_VALUE, MAX_VALUE);
|
||||
cv::normalize(temp, kernelX, 1.0, 0.0, NORM_L1);
|
||||
temp = randomMat(Size(1, ksize.height), CV_MAKE_TYPE(CV_32F, 1), -MAX_VALUE, MAX_VALUE);
|
||||
cv::normalize(temp, kernelY, 1.0, 0.0, NORM_L1);
|
||||
|
||||
Size roiSize = randomSize(ksize.width, MAX_VALUE, ksize.height, MAX_VALUE);
|
||||
int rest = roiSize.width % 4;
|
||||
if (0 != rest)
|
||||
roiSize.width += (4 - rest);
|
||||
Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
|
||||
rest = srcBorder.lef % 4;
|
||||
if (0 != rest)
|
||||
srcBorder.lef += (4 - rest);
|
||||
rest = srcBorder.rig % 4;
|
||||
if (0 != rest)
|
||||
srcBorder.rig += (4 - rest);
|
||||
randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
|
||||
|
||||
Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
|
||||
randomSubMat(dst, dst_roi, roiSize, dstBorder, type, -MAX_VALUE, MAX_VALUE);
|
||||
|
||||
anchor.x = -1;
|
||||
anchor.y = -1;
|
||||
|
||||
UMAT_UPLOAD_INPUT_PARAMETER(src)
|
||||
UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
|
||||
}
|
||||
|
||||
void Near(double threshold = 0.0)
|
||||
{
|
||||
OCL_EXPECT_MATS_NEAR(dst, threshold);
|
||||
}
|
||||
};
|
||||
|
||||
OCL_TEST_P(SepFilter2D, Mat)
|
||||
{
|
||||
for (int j = 0; j < test_loop_times; j++)
|
||||
{
|
||||
random_roi();
|
||||
|
||||
OCL_OFF(cv::sepFilter2D(src_roi, dst_roi, -1, kernelX, kernelY, anchor, 0.0, borderType));
|
||||
OCL_ON(cv::sepFilter2D(usrc_roi, udst_roi, -1, kernelX, kernelY, anchor, 0.0, borderType));
|
||||
|
||||
Near(1.0);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
OCL_INSTANTIATE_TEST_CASE_P(ImageProc, SepFilter2D,
|
||||
Combine(
|
||||
Values(CV_8U, CV_32F),
|
||||
Values(1, 4),
|
||||
Values(
|
||||
(BorderType)BORDER_CONSTANT,
|
||||
(BorderType)BORDER_REPLICATE,
|
||||
(BorderType)BORDER_REFLECT,
|
||||
(BorderType)BORDER_REFLECT_101),
|
||||
Bool(), // BORDER_ISOLATED
|
||||
Bool() // ROI
|
||||
)
|
||||
);
|
||||
|
||||
|
||||
} } // namespace cvtest::ocl
|
||||
|
||||
#endif // HAVE_OPENCL
|
||||
Loading…
Reference in New Issue
Block a user