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implemented UMat::convertTo

This commit is contained in:
Ilya Lavrenov
2013-12-15 14:00:24 +04:00
parent 172a5d42a9
commit 558c4a2b1d
4 changed files with 254 additions and 35 deletions
@@ -0,0 +1,111 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jia Haipeng, jiahaipeng95@gmail.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
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// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
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//
//M*/
#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
////////////////////////////////converto/////////////////////////////////////////////////
PARAM_TEST_CASE(MatrixTestBase, MatDepth, MatDepth, Channels, bool)
{
int src_depth, cn, dstType;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src)
TEST_DECLARE_OUTPUT_PARAMETER(dst)
virtual void SetUp()
{
src_depth = GET_PARAM(0);
cn = GET_PARAM(2);
dstType = CV_MAKE_TYPE(GET_PARAM(1), cn);
use_roi = GET_PARAM(3);
}
virtual void generateTestData()
{
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(src_depth, cn), -MAX_VALUE, MAX_VALUE);
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, dstType, 5, 16);
UMAT_UPLOAD_INPUT_PARAMETER(src)
UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
}
};
typedef MatrixTestBase ConvertTo;
OCL_TEST_P(ConvertTo, Accuracy)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
double alpha = randomDouble(-4, 4), beta = randomDouble(-4, 4);
OCL_OFF(src_roi.convertTo(dst_roi, dstType, alpha, beta));
OCL_ON(usrc_roi.convertTo(udst_roi, dstType, alpha, beta));
double eps = src_depth >= CV_32F || CV_MAT_DEPTH(dstType) >= CV_32F ? 1e-4 : 1;
OCL_EXPECT_MATS_NEAR(dst, eps);
}
}
OCL_INSTANTIATE_TEST_CASE_P(MatrixOperation, ConvertTo, Combine(
OCL_ALL_DEPTHS, OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
} } // namespace cvtest::ocl
#endif
+27 -30
View File
@@ -43,16 +43,13 @@
#include <string>
#include <iostream>
#include <fstream>
#include <iterator>
#include <limits>
#include <numeric>
#include "opencv2/core/ocl.hpp"
using namespace cv;
using namespace std;
class CV_UMatTest : public cvtest::BaseTest
class CV_UMatTest :
public cvtest::BaseTest
{
public:
CV_UMatTest() {}
@@ -204,37 +201,37 @@ TEST(Core_UMat, base) { CV_UMatTest test; test.safe_run(); }
TEST(Core_UMat, getUMat)
{
{
int a[3] = { 1, 2, 3 };
Mat m = Mat(1, 1, CV_32SC3, a);
UMat u = m.getUMat(ACCESS_READ);
EXPECT_NE((void*)NULL, u.u);
int a[3] = { 1, 2, 3 };
Mat m = Mat(1, 1, CV_32SC3, a);
UMat u = m.getUMat(ACCESS_READ);
EXPECT_NE((void*)NULL, u.u);
}
{
Mat m(10, 10, CV_8UC1), ref;
for (int y = 0; y < m.rows; ++y)
{
uchar * const ptr = m.ptr<uchar>(y);
for (int x = 0; x < m.cols; ++x)
ptr[x] = (uchar)(x + y * 2);
}
Mat m(10, 10, CV_8UC1), ref;
for (int y = 0; y < m.rows; ++y)
{
uchar * const ptr = m.ptr<uchar>(y);
for (int x = 0; x < m.cols; ++x)
ptr[x] = (uchar)(x + y * 2);
}
ref = m.clone();
Rect r(1, 1, 8, 8);
ref(r).setTo(17);
ref = m.clone();
Rect r(1, 1, 8, 8);
ref(r).setTo(17);
{
UMat um = m(r).getUMat(ACCESS_WRITE);
um.setTo(17);
}
{
UMat um = m(r).getUMat(ACCESS_WRITE);
um.setTo(17);
}
double err = norm(m, ref, NORM_INF);
if(err > 0)
{
std::cout << "m: " << m << std::endl;
std::cout << "ref: " << ref << std::endl;
}
EXPECT_EQ(err, 0.);
double err = norm(m, ref, NORM_INF);
if (err > 0)
{
std::cout << "m: " << std::endl << m << std::endl;
std::cout << "ref: " << std::endl << ref << std::endl;
}
EXPECT_EQ(0., err);
}
}