added new dtypes to cv::Sobel
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@ -3419,7 +3419,7 @@ static bool ocl_sepRowFilter2D( UMat &src, UMat &buf, Mat &kernelX, int anchor,
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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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static bool ocl_sepColFilter2D(const 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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@ -3428,62 +3428,20 @@ static bool ocl_sepColFilter2D(UMat &buf, UMat &dst, Mat &kernelY, int anchor, b
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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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int dtype = dst.type(), cn = CV_MAT_CN(dtype), ddepth = CV_MAT_DEPTH(dtype);
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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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if (dtype == CV_8UC2)
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globalsize[0] = DIVUP((sz.width + 1) / 2, localsize[0]) * localsize[0];
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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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char cvt[40];
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cv::String 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, ocl::typeToStr(buf.type()),
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ocl::typeToStr(dtype), ocl::convertTypeStr(CV_32F, ddepth, cn, cvt));
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build_options += ocl::kernelToStr(kernelY, CV_32F);
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ocl::Kernel kernelCol;
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@ -3513,8 +3471,8 @@ static bool ocl_sepFilter2D( InputArray _src, OutputArray _dst, int ddepth,
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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 || CV_32FC1 == type || CV_32FC4 == type) &&
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(ddepth == CV_32F || ddepth == CV_8U || ddepth < 0) ) )
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if ( !( (type == CV_8UC1 || type == CV_8UC4 || type == CV_32FC1 || type == CV_32FC4) &&
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(ddepth == CV_32F || ddepth == CV_16S || ddepth == CV_8U || ddepth < 0) ) )
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return false;
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int cn = CV_MAT_CN(type);
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@ -47,6 +47,8 @@
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#define READ_TIMES_ROW ((2*(RADIUS+LSIZE0)-1)/LSIZE0)
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#endif
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#define noconvert
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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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