Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// If you do not agree to this license, do not download, install,
// copy or use the software.
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//
// 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:
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// this list of conditions and the following disclaimer.
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//M*/
#include "test_precomp.hpp"
#include <string>
#include <iostream>
#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: " << std::endl << m << std::endl;
std::cout << "ref: " << std::endl << ref << std::endl;
}
EXPECT_EQ(0., err);
}
}
TEST(UMat, Sync)
{
UMat um(10, 10, CV_8UC1);
{
Mat m = um.getMat(ACCESS_WRITE);
m.setTo(cv::Scalar::all(17));
}
um.setTo(cv::Scalar::all(19));
EXPECT_EQ(0, cv::norm(um.getMat(ACCESS_READ), cv::Mat(um.size(), um.type(), 19), NORM_INF));
}