239 lines
7.7 KiB
C++
239 lines
7.7 KiB
C++
/*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, Multicoreware, Inc., 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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// Nathan, liujun@multicorewareinc.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 "opencv2/ts/ocl_test.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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PARAM_TEST_CASE(AccumulateBase, std::pair<MatDepth, MatDepth>, Channels, bool)
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{
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int sdepth, ddepth, channels;
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bool useRoi;
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double alpha;
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TEST_DECLARE_INPUT_PARAMETER(src);
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TEST_DECLARE_INPUT_PARAMETER(mask);
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TEST_DECLARE_INPUT_PARAMETER(src2);
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TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
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{
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const std::pair<MatDepth, MatDepth> depths = GET_PARAM(0);
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sdepth = depths.first, ddepth = depths.second;
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channels = GET_PARAM(1);
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useRoi = GET_PARAM(2);
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}
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void random_roi()
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{
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const int stype = CV_MAKE_TYPE(sdepth, channels),
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dtype = CV_MAKE_TYPE(ddepth, channels);
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Size roiSize = randomSize(1, 10);
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Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src, src_roi, roiSize, srcBorder, stype, -MAX_VALUE, MAX_VALUE);
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Border maskBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, -MAX_VALUE, MAX_VALUE);
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cvtest::threshold(mask, mask, 80, 255, THRESH_BINARY);
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Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src2, src2_roi, roiSize, src2Border, stype, -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, dtype, -MAX_VALUE, MAX_VALUE);
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UMAT_UPLOAD_INPUT_PARAMETER(src);
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UMAT_UPLOAD_INPUT_PARAMETER(mask);
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UMAT_UPLOAD_INPUT_PARAMETER(src2);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
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alpha = randomDouble(-5, 5);
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}
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};
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/////////////////////////////////// Accumulate ///////////////////////////////////
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typedef AccumulateBase Accumulate;
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OCL_TEST_P(Accumulate, Mat)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulate(src_roi, dst_roi));
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OCL_ON(cv::accumulate(usrc_roi, udst_roi));
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OCL_EXPECT_MATS_NEAR(dst, 1e-6);
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}
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}
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OCL_TEST_P(Accumulate, Mask)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulate(src_roi, dst_roi, mask_roi));
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OCL_ON(cv::accumulate(usrc_roi, udst_roi, umask_roi));
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OCL_EXPECT_MATS_NEAR(dst, 1e-6);
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}
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}
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/////////////////////////////////// AccumulateSquare ///////////////////////////////////
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typedef AccumulateBase AccumulateSquare;
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OCL_TEST_P(AccumulateSquare, Mat)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulateSquare(src_roi, dst_roi));
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OCL_ON(cv::accumulateSquare(usrc_roi, udst_roi));
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OCL_EXPECT_MATS_NEAR(dst, 1e-2);
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}
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}
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OCL_TEST_P(AccumulateSquare, Mask)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulateSquare(src_roi, dst_roi, mask_roi));
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OCL_ON(cv::accumulateSquare(usrc_roi, udst_roi, umask_roi));
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OCL_EXPECT_MATS_NEAR(dst, 1e-2);
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}
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}
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/////////////////////////////////// AccumulateProduct ///////////////////////////////////
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typedef AccumulateBase AccumulateProduct;
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OCL_TEST_P(AccumulateProduct, Mat)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulateProduct(src_roi, src2_roi, dst_roi));
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OCL_ON(cv::accumulateProduct(usrc_roi, usrc2_roi, udst_roi));
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OCL_EXPECT_MATS_NEAR(dst, 1e-2);
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}
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}
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OCL_TEST_P(AccumulateProduct, Mask)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulateProduct(src_roi, src2_roi, dst_roi, mask_roi));
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OCL_ON(cv::accumulateProduct(usrc_roi, usrc2_roi, udst_roi, umask_roi));
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OCL_EXPECT_MATS_NEAR(dst, 1e-2);
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}
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}
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/////////////////////////////////// AccumulateWeighted ///////////////////////////////////
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typedef AccumulateBase AccumulateWeighted;
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OCL_TEST_P(AccumulateWeighted, Mat)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulateWeighted(src_roi, dst_roi, alpha));
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OCL_ON(cv::accumulateWeighted(usrc_roi, udst_roi, alpha));
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OCL_EXPECT_MATS_NEAR(dst, 1e-2);
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}
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}
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OCL_TEST_P(AccumulateWeighted, Mask)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::accumulateWeighted(src_roi, dst_roi, alpha));
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OCL_ON(cv::accumulateWeighted(usrc_roi, udst_roi, alpha));
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OCL_EXPECT_MATS_NEAR(dst, 1e-2);
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}
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}
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/////////////////////////////////// Instantiation ///////////////////////////////////
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#define OCL_DEPTH_ALL_COMBINATIONS \
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testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32F), \
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std::make_pair<MatDepth, MatDepth>(CV_16U, CV_32F), \
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std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F), \
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std::make_pair<MatDepth, MatDepth>(CV_8U, CV_64F), \
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std::make_pair<MatDepth, MatDepth>(CV_16U, CV_64F), \
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std::make_pair<MatDepth, MatDepth>(CV_32F, CV_64F), \
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std::make_pair<MatDepth, MatDepth>(CV_64F, CV_64F))
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Accumulate, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateSquare, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateProduct, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateWeighted, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
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} } // namespace opencv_test::ocl
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#endif
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