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implemented UMat::convertTo
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@@ -0,0 +1,111 @@
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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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// Jia Haipeng, jiahaipeng95@gmail.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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// * 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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// derived from this software without specific prior written permission.
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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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// 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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////////////////////////////////converto/////////////////////////////////////////////////
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PARAM_TEST_CASE(MatrixTestBase, MatDepth, MatDepth, Channels, bool)
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{
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int src_depth, cn, dstType;
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bool use_roi;
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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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src_depth = GET_PARAM(0);
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cn = GET_PARAM(2);
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dstType = CV_MAKE_TYPE(GET_PARAM(1), cn);
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use_roi = GET_PARAM(3);
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}
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virtual void generateTestData()
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{
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Size roiSize = randomSize(1, MAX_VALUE);
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(src_depth, cn), -MAX_VALUE, MAX_VALUE);
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, roiSize, dstBorder, dstType, 5, 16);
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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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};
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typedef MatrixTestBase ConvertTo;
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OCL_TEST_P(ConvertTo, Accuracy)
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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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generateTestData();
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double alpha = randomDouble(-4, 4), beta = randomDouble(-4, 4);
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OCL_OFF(src_roi.convertTo(dst_roi, dstType, alpha, beta));
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OCL_ON(usrc_roi.convertTo(udst_roi, dstType, alpha, beta));
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double eps = src_depth >= CV_32F || CV_MAT_DEPTH(dstType) >= CV_32F ? 1e-4 : 1;
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OCL_EXPECT_MATS_NEAR(dst, eps);
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}
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}
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OCL_INSTANTIATE_TEST_CASE_P(MatrixOperation, ConvertTo, Combine(
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OCL_ALL_DEPTHS, OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
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} } // namespace cvtest::ocl
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#endif
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@@ -43,16 +43,13 @@
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#include <string>
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#include <iostream>
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#include <fstream>
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#include <iterator>
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#include <limits>
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#include <numeric>
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#include "opencv2/core/ocl.hpp"
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using namespace cv;
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using namespace std;
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class CV_UMatTest : public cvtest::BaseTest
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class CV_UMatTest :
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public cvtest::BaseTest
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{
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public:
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CV_UMatTest() {}
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@@ -204,37 +201,37 @@ TEST(Core_UMat, base) { CV_UMatTest test; test.safe_run(); }
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TEST(Core_UMat, getUMat)
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{
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{
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int a[3] = { 1, 2, 3 };
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Mat m = Mat(1, 1, CV_32SC3, a);
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UMat u = m.getUMat(ACCESS_READ);
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EXPECT_NE((void*)NULL, u.u);
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int a[3] = { 1, 2, 3 };
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Mat m = Mat(1, 1, CV_32SC3, a);
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UMat u = m.getUMat(ACCESS_READ);
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EXPECT_NE((void*)NULL, u.u);
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}
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{
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Mat m(10, 10, CV_8UC1), ref;
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for (int y = 0; y < m.rows; ++y)
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{
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uchar * const ptr = m.ptr<uchar>(y);
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for (int x = 0; x < m.cols; ++x)
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ptr[x] = (uchar)(x + y * 2);
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}
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Mat m(10, 10, CV_8UC1), ref;
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for (int y = 0; y < m.rows; ++y)
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{
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uchar * const ptr = m.ptr<uchar>(y);
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for (int x = 0; x < m.cols; ++x)
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ptr[x] = (uchar)(x + y * 2);
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}
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ref = m.clone();
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Rect r(1, 1, 8, 8);
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ref(r).setTo(17);
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ref = m.clone();
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Rect r(1, 1, 8, 8);
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ref(r).setTo(17);
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{
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UMat um = m(r).getUMat(ACCESS_WRITE);
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um.setTo(17);
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}
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{
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UMat um = m(r).getUMat(ACCESS_WRITE);
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um.setTo(17);
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}
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double err = norm(m, ref, NORM_INF);
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if(err > 0)
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{
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std::cout << "m: " << m << std::endl;
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std::cout << "ref: " << ref << std::endl;
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}
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EXPECT_EQ(err, 0.);
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double err = norm(m, ref, NORM_INF);
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if (err > 0)
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{
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std::cout << "m: " << std::endl << m << std::endl;
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std::cout << "ref: " << std::endl << ref << std::endl;
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}
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EXPECT_EQ(0., err);
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}
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}
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