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Open Source Computer Vision Library
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395 lines
14 KiB
395 lines
14 KiB
/*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 "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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enum |
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{ |
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noType = -1 |
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}; |
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///////////////////////////////////////////////////////////////////////////////////////////////// |
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// warpAffine & warpPerspective |
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PARAM_TEST_CASE(WarpTestBase, MatType, Interpolation, bool, bool) |
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{ |
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int type, interpolation; |
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Size dsize; |
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bool useRoi, mapInverse; |
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int depth; |
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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 = GET_PARAM(0); |
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interpolation = GET_PARAM(1); |
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mapInverse = GET_PARAM(2); |
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useRoi = GET_PARAM(3); |
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depth = CV_MAT_DEPTH(type); |
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if (mapInverse) |
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interpolation |= WARP_INVERSE_MAP; |
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} |
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void random_roi() |
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{ |
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dsize = randomSize(1, MAX_VALUE); |
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Size roiSize = randomSize(1, MAX_VALUE); |
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Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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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, dsize, 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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if (depth < CV_32F) |
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EXPECT_MAT_N_DIFF(dst_roi, udst_roi, cvRound(dst_roi.total()*threshold)); |
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else |
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OCL_EXPECT_MATS_NEAR_RELATIVE(dst, threshold); |
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} |
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}; |
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/////warpAffine |
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typedef WarpTestBase WarpAffine; |
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OCL_TEST_P(WarpAffine, 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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double eps = depth < CV_32F ? 0.04 : 0.06; |
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random_roi(); |
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Mat M = getRotationMatrix2D(Point2f(src_roi.cols / 2.0f, src_roi.rows / 2.0f), |
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rng.uniform(-180.f, 180.f), rng.uniform(0.4f, 2.0f)); |
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OCL_OFF(cv::warpAffine(src_roi, dst_roi, M, dsize, interpolation)); |
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OCL_ON(cv::warpAffine(usrc_roi, udst_roi, M, dsize, interpolation)); |
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Near(eps); |
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} |
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} |
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//// warpPerspective |
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typedef WarpTestBase WarpPerspective; |
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OCL_TEST_P(WarpPerspective, 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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double eps = depth < CV_32F ? 0.03 : 0.06; |
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random_roi(); |
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float cols = static_cast<float>(src_roi.cols), rows = static_cast<float>(src_roi.rows); |
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float cols2 = cols / 2.0f, rows2 = rows / 2.0f; |
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Point2f sp[] = { Point2f(0.0f, 0.0f), Point2f(cols, 0.0f), Point2f(0.0f, rows), Point2f(cols, rows) }; |
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Point2f dp[] = { Point2f(rng.uniform(0.0f, cols2), rng.uniform(0.0f, rows2)), |
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Point2f(rng.uniform(cols2, cols), rng.uniform(0.0f, rows2)), |
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Point2f(rng.uniform(0.0f, cols2), rng.uniform(rows2, rows)), |
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Point2f(rng.uniform(cols2, cols), rng.uniform(rows2, rows)) }; |
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Mat M = getPerspectiveTransform(sp, dp); |
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OCL_OFF(cv::warpPerspective(src_roi, dst_roi, M, dsize, interpolation)); |
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OCL_ON(cv::warpPerspective(usrc_roi, udst_roi, M, dsize, interpolation)); |
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Near(eps); |
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} |
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} |
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///////////////////////////////////////////////////////////////////////////////////////////////// |
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//// resize |
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PARAM_TEST_CASE(Resize, MatType, double, double, Interpolation, bool, int) |
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{ |
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int type, interpolation; |
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int widthMultiple; |
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double fx, fy; |
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bool useRoi; |
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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 = 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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widthMultiple = GET_PARAM(5); |
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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(10, MAX_VALUE), dstRoiSize; |
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// Make sure the width is a multiple of the requested value, and no more |
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srcRoiSize.width += widthMultiple - 1 - (srcRoiSize.width - 1) % widthMultiple; |
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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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OCL_EXPECT_MATS_NEAR(dst, 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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int depth = CV_MAT_DEPTH(type); |
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double eps = depth <= CV_32S ? 1 : 5e-2; |
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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(eps); |
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} |
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} |
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///////////////////////////////////////////////////////////////////////////////////////////////// |
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// remap |
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PARAM_TEST_CASE(Remap, MatDepth, Channels, std::pair<MatType, MatType>, BorderType, bool) |
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{ |
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int srcType, map1Type, map2Type; |
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int borderType; |
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bool useRoi; |
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Scalar val; |
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TEST_DECLARE_INPUT_PARAMETER(src); |
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TEST_DECLARE_INPUT_PARAMETER(map1); |
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TEST_DECLARE_INPUT_PARAMETER(map2); |
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TEST_DECLARE_OUTPUT_PARAMETER(dst); |
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virtual void SetUp() |
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{ |
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srcType = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1)); |
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map1Type = GET_PARAM(2).first; |
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map2Type = GET_PARAM(2).second; |
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borderType = 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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val = randomScalar(-MAX_VALUE, MAX_VALUE); |
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Size srcROISize = randomSize(1, MAX_VALUE); |
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Size dstROISize = randomSize(1, MAX_VALUE); |
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Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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randomSubMat(src, src_roi, srcROISize, srcBorder, srcType, 5, 256); |
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Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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randomSubMat(dst, dst_roi, dstROISize, dstBorder, srcType, -MAX_VALUE, MAX_VALUE); |
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int mapMaxValue = MAX_VALUE << 2; |
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Border map1Border = randomBorder(0, useRoi ? MAX_VALUE : 0); |
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randomSubMat(map1, map1_roi, dstROISize, map1Border, map1Type, -mapMaxValue, mapMaxValue); |
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Border map2Border = randomBorder(0, useRoi ? MAX_VALUE + 1 : 0); |
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if (map2Type != noType) |
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{ |
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int mapMinValue = -mapMaxValue; |
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if (map2Type == CV_16UC1 || map2Type == CV_16SC1) |
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mapMinValue = 0, mapMaxValue = INTER_TAB_SIZE2; |
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randomSubMat(map2, map2_roi, dstROISize, map2Border, map2Type, mapMinValue, mapMaxValue); |
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} |
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UMAT_UPLOAD_INPUT_PARAMETER(src); |
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UMAT_UPLOAD_INPUT_PARAMETER(map1); |
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst); |
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if (noType != map2Type) |
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UMAT_UPLOAD_INPUT_PARAMETER(map2); |
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} |
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void Near(double threshold = 0.0) |
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{ |
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OCL_EXPECT_MATS_NEAR(dst, threshold); |
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} |
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}; |
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typedef Remap Remap_INTER_NEAREST; |
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OCL_TEST_P(Remap_INTER_NEAREST, 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::remap(src_roi, dst_roi, map1_roi, map2_roi, INTER_NEAREST, borderType, val)); |
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OCL_ON(cv::remap(usrc_roi, udst_roi, umap1_roi, umap2_roi, INTER_NEAREST, borderType, val)); |
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Near(1.0); |
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} |
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} |
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typedef Remap Remap_INTER_LINEAR; |
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OCL_TEST_P(Remap_INTER_LINEAR, 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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double eps = 2.0; |
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#ifdef ANDROID |
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// TODO investigate accuracy |
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if (cv::ocl::Device::getDefault().isNVidia()) |
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eps = 8.0; |
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#endif |
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OCL_OFF(cv::remap(src_roi, dst_roi, map1_roi, map2_roi, INTER_LINEAR, borderType, val)); |
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OCL_ON(cv::remap(usrc_roi, udst_roi, umap1_roi, umap2_roi, INTER_LINEAR, borderType, val)); |
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Near(eps); |
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} |
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} |
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///////////////////////////////////////////////////////////////////////////////////// |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, WarpAffine, Combine( |
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Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4), |
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Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR, (Interpolation)INTER_CUBIC), |
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Bool(), |
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Bool())); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, WarpPerspective, Combine( |
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Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4), |
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Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR, (Interpolation)INTER_CUBIC), |
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Bool(), |
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Bool())); |
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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, 0.2), |
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Values(0.5, 1.5, 2.0, 0.2), |
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Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR), |
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Bool(), |
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Values(1, 16))); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarpResizeArea, Resize, Combine( |
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Values((MatType)CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4), |
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Values(0.7, 0.4, 0.5), |
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Values(0.3, 0.6, 0.5), |
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Values((Interpolation)INTER_AREA), |
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Bool(), |
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Values(1, 16))); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, Remap_INTER_LINEAR, Combine( |
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Values(CV_8U, CV_16U, CV_32F), |
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Values(1, 3, 4), |
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Values(std::pair<MatType, MatType>((MatType)CV_32FC1, (MatType)CV_32FC1), |
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std::pair<MatType, MatType>((MatType)CV_16SC2, (MatType)CV_16UC1), |
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std::pair<MatType, MatType>((MatType)CV_32FC2, noType)), |
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Values((BorderType)BORDER_CONSTANT, |
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(BorderType)BORDER_REPLICATE, |
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(BorderType)BORDER_WRAP, |
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(BorderType)BORDER_REFLECT, |
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(BorderType)BORDER_REFLECT_101), |
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Bool())); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, Remap_INTER_NEAREST, Combine( |
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Values(CV_8U, CV_16U, CV_32F), |
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Values(1, 3, 4), |
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Values(std::pair<MatType, MatType>((MatType)CV_32FC1, (MatType)CV_32FC1), |
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std::pair<MatType, MatType>((MatType)CV_32FC2, noType), |
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std::pair<MatType, MatType>((MatType)CV_16SC2, (MatType)CV_16UC1), |
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std::pair<MatType, MatType>((MatType)CV_16SC2, noType)), |
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Values((BorderType)BORDER_CONSTANT, |
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(BorderType)BORDER_REPLICATE, |
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(BorderType)BORDER_WRAP, |
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(BorderType)BORDER_REFLECT, |
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(BorderType)BORDER_REFLECT_101), |
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Bool())); |
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} } // namespace cvtest::ocl |
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#endif // HAVE_OPENCL
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