Merge pull request #1867 from ilya-lavrenov:ocl_resize_master
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41ae5d5f66
@ -1908,7 +1908,7 @@ static bool ocl_resize( InputArray _src, OutputArray _dst, Size dsize,
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int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
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if( !(cn <= 4 &&
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(interpolation == INTER_NEAREST ||
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(interpolation == INTER_LINEAR && (depth == CV_8U || depth == CV_32F)))) )
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(interpolation == INTER_LINEAR))) )
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return false;
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UMat src = _src.getUMat();
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_dst.create(dsize, type);
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@ -1917,11 +1917,11 @@ static bool ocl_resize( InputArray _src, OutputArray _dst, Size dsize,
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if (interpolation == INTER_LINEAR)
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{
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int wdepth = depth == CV_8U ? CV_32S : CV_32F;
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int wdepth = std::max(depth, CV_32S);
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int wtype = CV_MAKETYPE(wdepth, cn);
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char buf[2][32];
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k.create("resizeLN", ocl::imgproc::resize_oclsrc,
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format("-D INTER_LINEAR -D depth=%s -D PIXTYPE=%s -D WORKTYPE=%s -D convertToWT=%s -D convertToDT=%s",
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format("-D INTER_LINEAR -D depth=%d -D PIXTYPE=%s -D WORKTYPE=%s -D convertToWT=%s -D convertToDT=%s",
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depth, ocl::typeToStr(type), ocl::typeToStr(wtype),
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ocl::convertTypeStr(depth, wdepth, cn, buf[0]),
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ocl::convertTypeStr(wdepth, depth, cn, buf[1])));
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@ -1937,6 +1937,7 @@ static bool ocl_resize( InputArray _src, OutputArray _dst, Size dsize,
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k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst),
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(float)(1./fx), (float)(1./fy));
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size_t globalsize[] = { dst.cols, dst.rows };
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return k.run(2, globalsize, 0, false);
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}
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@ -89,7 +89,8 @@ __kernel void resizeLN(__global const uchar* srcptr, int srcstep, int srcoffset,
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int x_ = INC(x,srccols);
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__global const PIXTYPE* src = (__global const PIXTYPE*)(srcptr + mad24(y, srcstep, srcoffset + x*PIXSIZE));
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#if depth == 0
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#if depth <= 4
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u = u * INTER_RESIZE_COEF_SCALE;
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v = v * INTER_RESIZE_COEF_SCALE;
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@ -102,18 +103,22 @@ __kernel void resizeLN(__global const uchar* srcptr, int srcstep, int srcoffset,
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WORKTYPE data1 = convertToWT(*(__global const PIXTYPE*)(srcptr + mad24(y, srcstep, srcoffset + x_*PIXSIZE)));
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WORKTYPE data2 = convertToWT(*(__global const PIXTYPE*)(srcptr + mad24(y_, srcstep, srcoffset + x*PIXSIZE)));
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WORKTYPE data3 = convertToWT(*(__global const PIXTYPE*)(srcptr + mad24(y_, srcstep, srcoffset + x_*PIXSIZE)));
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WORKTYPE val = mul24((WORKTYPE)mul24(U1, V1), data0) + mul24((WORKTYPE)mul24(U, V1), data1) +
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mul24((WORKTYPE)mul24(U1, V), data2) + mul24((WORKTYPE)mul24(U, V), data3);
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PIXTYPE uval = convertToDT((val + (1<<(CAST_BITS-1)))>>CAST_BITS);
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#else
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float u1 = 1.f-u;
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float v1 = 1.f-v;
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float u1 = 1.f - u;
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float v1 = 1.f - v;
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WORKTYPE data0 = convertToWT(*(__global const PIXTYPE*)(srcptr + mad24(y, srcstep, srcoffset + x*PIXSIZE)));
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WORKTYPE data1 = convertToWT(*(__global const PIXTYPE*)(srcptr + mad24(y, srcstep, srcoffset + x_*PIXSIZE)));
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WORKTYPE data2 = convertToWT(*(__global const PIXTYPE*)(srcptr + mad24(y_, srcstep, srcoffset + x*PIXSIZE)));
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WORKTYPE data3 = convertToWT(*(__global const PIXTYPE*)(srcptr + mad24(y_, srcstep, srcoffset + x_*PIXSIZE)));
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PIXTYPE uval = u1 * v1 * s_data1 + u * v1 * s_data2 + u1 * v *s_data3 + u * v *s_data4;
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PIXTYPE uval = u1 * v1 * data0 + u * v1 * data1 + u1 * v *data2 + u * v *data3;
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#endif
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if(dx < dstcols && dy < dstrows)
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139
modules/imgproc/test/ocl/test_warp.cpp
Normal file
139
modules/imgproc/test/ocl/test_warp.cpp
Normal file
@ -0,0 +1,139 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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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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// Copyright (C) 2010-2012, Multicoreware, 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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// Jia Haipeng, jiahaipeng95@gmail.com
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// Shengen Yan, yanshengen@gmail.com
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// Jiang Liyuan, lyuan001.good@163.com
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// Rock Li, Rock.Li@amd.com
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// Wu Zailong, bullet@yeah.net
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// Xu Pang, pangxu010@163.com
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// Sen Liu, swjtuls1987@126.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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//M*/
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#include "test_precomp.hpp"
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#include "cvconfig.h"
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#include "opencv2/ts/ocl_test.hpp"
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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// resize
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PARAM_TEST_CASE(Resize, MatType, double, double, Interpolation, bool)
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{
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int type, interpolation;
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double fx, fy;
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bool useRoi;
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TEST_DECLARE_INPUT_PARATEMER(src)
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TEST_DECLARE_OUTPUT_PARATEMER(dst)
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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fx = GET_PARAM(1);
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fy = GET_PARAM(2);
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interpolation = GET_PARAM(3);
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useRoi = GET_PARAM(4);
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}
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void random_roi()
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{
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CV_Assert(fx > 0 && fy > 0);
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Size srcRoiSize = randomSize(1, MAX_VALUE), dstRoiSize;
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dstRoiSize.width = cvRound(srcRoiSize.width * fx);
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dstRoiSize.height = cvRound(srcRoiSize.height * fy);
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if (dstRoiSize.area() == 0)
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{
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random_roi();
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return;
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}
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Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src, src_roi, srcRoiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
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Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, dstRoiSize, dstBorder, type, -MAX_VALUE, MAX_VALUE);
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UMAT_UPLOAD_INPUT_PARAMETER(src);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
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}
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void Near(double threshold = 0.0)
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{
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EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
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EXPECT_MAT_NEAR(dst, udst, threshold);
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}
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};
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OCL_TEST_P(Resize, Mat)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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random_roi();
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OCL_OFF(cv::resize(src_roi, dst_roi, Size(), fx, fy, interpolation));
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OCL_ON(cv::resize(usrc_roi, udst_roi, Size(), fx, fy, interpolation));
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Near(1.0);
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}
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}
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/////////////////////////////////////////////////////////////////////////////////////
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, Resize, Combine(
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Values(CV_8UC1, CV_8UC4, CV_16UC2, CV_32FC1, CV_32FC4),
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Values(0.5, 1.5, 2.0),
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Values(0.5, 1.5, 2.0),
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Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR),
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Bool()));
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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@ -305,6 +305,8 @@ IMPLEMENT_PARAM_CLASS(Channels, int)
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#define OCL_ALL_DEPTHS Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F)
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#define OCL_ALL_CHANNELS Values(1, 2, 3, 4)
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CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC)
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#define OCL_INSTANTIATE_TEST_CASE_P(prefix, test_case_name, generator) \
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INSTANTIATE_TEST_CASE_P(OCL_ ## prefix, test_case_name, generator)
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