Add ocl implementation of the sepFilter2D into img_proc module.
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vbystricky
148
modules/imgproc/test/ocl/test_sepfilter2D.cpp
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148
modules/imgproc/test/ocl/test_sepfilter2D.cpp
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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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// 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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// * 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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// * The name of the copyright holders may not be used to endorse or promote products
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// This software is provided by the copyright holders and contributors "as is" and
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//
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//M*/
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#include "test_precomp.hpp"
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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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// sepFilter2D
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PARAM_TEST_CASE(SepFilter2D, MatDepth, Channels, BorderType, bool, bool)
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{
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static const int kernelMinSize = 2;
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static const int kernelMaxSize = 10;
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int type;
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Point anchor;
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int borderType;
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bool useRoi;
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Mat kernelX, kernelY;
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TEST_DECLARE_INPUT_PARAMETER(src)
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TEST_DECLARE_OUTPUT_PARAMETER(dst)
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virtual void SetUp()
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{
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type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
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borderType = GET_PARAM(2) | (GET_PARAM(3) ? BORDER_ISOLATED : 0);
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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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Size ksize = randomSize(kernelMinSize, kernelMaxSize);
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if (1 != (ksize.width % 2))
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ksize.width++;
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if (1 != (ksize.height % 2))
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ksize.height++;
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Mat temp = randomMat(Size(ksize.width, 1), CV_MAKE_TYPE(CV_32F, 1), -MAX_VALUE, MAX_VALUE);
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cv::normalize(temp, kernelX, 1.0, 0.0, NORM_L1);
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temp = randomMat(Size(1, ksize.height), CV_MAKE_TYPE(CV_32F, 1), -MAX_VALUE, MAX_VALUE);
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cv::normalize(temp, kernelY, 1.0, 0.0, NORM_L1);
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Size roiSize = randomSize(ksize.width, MAX_VALUE, ksize.height, MAX_VALUE);
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int rest = roiSize.width % 4;
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if (0 != rest)
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roiSize.width += (4 - rest);
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Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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rest = srcBorder.lef % 4;
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if (0 != rest)
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srcBorder.lef += (4 - rest);
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rest = srcBorder.rig % 4;
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if (0 != rest)
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srcBorder.rig += (4 - rest);
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randomSubMat(src, src_roi, roiSize, 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, roiSize, dstBorder, type, -MAX_VALUE, MAX_VALUE);
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anchor.x = -1;
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anchor.y = -1;
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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, udst, threshold);
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EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
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}
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};
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OCL_TEST_P(SepFilter2D, 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::sepFilter2D(src_roi, dst_roi, -1, kernelX, kernelY, anchor, 0.0, borderType));
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OCL_ON(cv::sepFilter2D(usrc_roi, udst_roi, -1, kernelX, kernelY, anchor, 0.0, borderType));
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Near(2.0);
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}
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}
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OCL_INSTANTIATE_TEST_CASE_P(ImageProc, SepFilter2D,
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Combine(
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Values(CV_8U, CV_32F),
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Values(1, 4),
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Values(
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(BorderType)BORDER_CONSTANT,
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(BorderType)BORDER_REPLICATE,
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(BorderType)BORDER_REFLECT,
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(BorderType)BORDER_REFLECT_101),
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Bool(), // BORDER_ISOLATED
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Bool() // ROI
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)
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);
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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