mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
239 lines
6.6 KiB
239 lines
6.6 KiB
/*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) 2013, OpenCV Foundation, all rights reserved. |
|
// Third party copyrights are property of their respective owners. |
|
// |
|
// 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. |
|
// |
|
// * 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. |
|
// |
|
// * The name of the copyright holders may not be used to endorse or promote products |
|
// derived from this software without specific prior written permission. |
|
// |
|
// 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 OpenCV Foundation 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, |
|
// or tort (including negligence or otherwise) arising in any way out of |
|
// the use of this software, even if advised of the possibility of such damage. |
|
// |
|
//M*/ |
|
|
|
#include "test_precomp.hpp" |
|
|
|
#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 |
|
{ |
|
public: |
|
CV_UMatTest() {} |
|
~CV_UMatTest() {} |
|
protected: |
|
void run(int); |
|
|
|
struct test_excep |
|
{ |
|
test_excep(const string& _s=string("")) : s(_s) {}; |
|
string s; |
|
}; |
|
|
|
bool TestUMat(); |
|
|
|
void checkDiff(const Mat& m1, const Mat& m2, const string& s) |
|
{ |
|
if (norm(m1, m2, NORM_INF) != 0) |
|
throw test_excep(s); |
|
} |
|
void checkDiffF(const Mat& m1, const Mat& m2, const string& s) |
|
{ |
|
if (norm(m1, m2, NORM_INF) > 1e-5) |
|
throw test_excep(s); |
|
} |
|
}; |
|
|
|
#define STR(a) STR2(a) |
|
#define STR2(a) #a |
|
|
|
#define CHECK_DIFF(a, b) checkDiff(a, b, "(" #a ") != (" #b ") at l." STR(__LINE__)) |
|
#define CHECK_DIFF_FLT(a, b) checkDiffF(a, b, "(" #a ") !=(eps) (" #b ") at l." STR(__LINE__)) |
|
|
|
|
|
bool CV_UMatTest::TestUMat() |
|
{ |
|
try |
|
{ |
|
Mat a(100, 100, CV_16SC2), b, c; |
|
randu(a, Scalar::all(-100), Scalar::all(100)); |
|
Rect roi(1, 3, 5, 4); |
|
Mat ra(a, roi), rb, rc, rc0; |
|
UMat ua, ura, ub, urb, uc, urc; |
|
a.copyTo(ua); |
|
ua.copyTo(b); |
|
CHECK_DIFF(a, b); |
|
|
|
ura = ua(roi); |
|
ura.copyTo(rb); |
|
|
|
CHECK_DIFF(ra, rb); |
|
|
|
ra += Scalar::all(1.f); |
|
{ |
|
Mat temp = ura.getMat(ACCESS_RW); |
|
temp += Scalar::all(1.f); |
|
} |
|
ra.copyTo(rb); |
|
CHECK_DIFF(ra, rb); |
|
|
|
b = a.clone(); |
|
ra = a(roi); |
|
rb = b(roi); |
|
randu(b, Scalar::all(-100), Scalar::all(100)); |
|
b.copyTo(ub); |
|
urb = ub(roi); |
|
|
|
/*std::cout << "==============================================\nbefore op (CPU):\n"; |
|
std::cout << "ra: " << ra << std::endl; |
|
std::cout << "rb: " << rb << std::endl;*/ |
|
|
|
ra.copyTo(ura); |
|
rb.copyTo(urb); |
|
ra.release(); |
|
rb.release(); |
|
ura.copyTo(ra); |
|
urb.copyTo(rb); |
|
|
|
/*std::cout << "==============================================\nbefore op (GPU):\n"; |
|
std::cout << "ra: " << ra << std::endl; |
|
std::cout << "rb: " << rb << std::endl;*/ |
|
|
|
cv::max(ra, rb, rc); |
|
cv::max(ura, urb, urc); |
|
urc.copyTo(rc0); |
|
|
|
/*std::cout << "==============================================\nafter op:\n"; |
|
std::cout << "rc: " << rc << std::endl; |
|
std::cout << "rc0: " << rc0 << std::endl;*/ |
|
|
|
CHECK_DIFF(rc0, rc); |
|
|
|
{ |
|
UMat tmp = rc0.getUMat(ACCESS_WRITE); |
|
cv::max(ura, urb, tmp); |
|
} |
|
CHECK_DIFF(rc0, rc); |
|
|
|
ura.copyTo(urc); |
|
cv::max(urc, urb, urc); |
|
urc.copyTo(rc0); |
|
CHECK_DIFF(rc0, rc); |
|
|
|
rc = ra ^ rb; |
|
cv::bitwise_xor(ura, urb, urc); |
|
urc.copyTo(rc0); |
|
|
|
/*std::cout << "==============================================\nafter op:\n"; |
|
std::cout << "ra: " << rc0 << std::endl; |
|
std::cout << "rc: " << rc << std::endl;*/ |
|
|
|
CHECK_DIFF(rc0, rc); |
|
|
|
rc = ra + rb; |
|
cv::add(ura, urb, urc); |
|
urc.copyTo(rc0); |
|
|
|
CHECK_DIFF(rc0, rc); |
|
|
|
cv::subtract(ra, Scalar::all(5), rc); |
|
cv::subtract(ura, Scalar::all(5), urc); |
|
urc.copyTo(rc0); |
|
|
|
CHECK_DIFF(rc0, rc); |
|
} |
|
catch (const test_excep& e) |
|
{ |
|
ts->printf(cvtest::TS::LOG, "%s\n", e.s.c_str()); |
|
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
|
return false; |
|
} |
|
return true; |
|
} |
|
|
|
void CV_UMatTest::run( int /* start_from */) |
|
{ |
|
printf("Use OpenCL: %s\nHave OpenCL: %s\n", |
|
ocl::useOpenCL() ? "TRUE" : "FALSE", |
|
ocl::haveOpenCL() ? "TRUE" : "FALSE" ); |
|
|
|
if (!TestUMat()) |
|
return; |
|
|
|
ts->set_failed_test_info(cvtest::TS::OK); |
|
} |
|
|
|
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); |
|
} |
|
|
|
{ |
|
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); |
|
|
|
{ |
|
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.); |
|
} |
|
}
|
|
|