Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Redistribution and use in source and binary forms, with or without modification,
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#include "gputest.hpp"
#include <string>
#include <iostream>
#include <fstream>
#include <iterator>
#include <limits>
#include <numeric>
using namespace cv;
using namespace std;
using namespace gpu;
class CV_GpuMatOpConvertTo : public CvTest
{
public:
CV_GpuMatOpConvertTo();
~CV_GpuMatOpConvertTo();
protected:
void run(int);
};
CV_GpuMatOpConvertTo::CV_GpuMatOpConvertTo(): CvTest( "GPU-MatOperatorConvertTo", "convertTo" ) {}
CV_GpuMatOpConvertTo::~CV_GpuMatOpConvertTo() {}
void CV_GpuMatOpConvertTo::run( int /* start_from */)
{
const Size img_size(67, 35);
const int types[] = {CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F};
const int types_num = sizeof(types) / sizeof(int);
const char* types_str[] = {"CV_8U", "CV_8S", "CV_16U", "CV_16S", "CV_32S", "CV_32F", "CV_64F"};
bool passed = true;
try
{
for (int i = 0; i < types_num && passed; ++i)
{
for (int j = 0; j < types_num && passed; ++j)
{
for (int c = 1; c < 2 && passed; ++c)
{
const int src_type = CV_MAKETYPE(types[i], c);
const int dst_type = types[j];
const double alpha = (double)rand() / RAND_MAX * 2.0;
const double beta = (double)rand() / RAND_MAX * 150.0 - 75;
cv::RNG rng(*ts->get_rng());
Mat cpumatsrc(img_size, src_type);
rng.fill(cpumatsrc, RNG::UNIFORM, Scalar::all(0), Scalar::all(300));
GpuMat gpumatsrc(cpumatsrc);
Mat cpumatdst;
GpuMat gpumatdst;
cpumatsrc.convertTo(cpumatdst, dst_type, alpha, beta);
gpumatsrc.convertTo(gpumatdst, dst_type, alpha, beta);
double r = norm(cpumatdst, gpumatdst, NORM_INF);
if (r > 1)
{
cout << "FAILED: " << "SRC_TYPE=" << types_str[i] << "C" << c << " DST_TYPE=" << types_str[j] << " NORM = " << r << endl;
passed = false;
}
}
}
}
}
catch(cv::Exception& e)
{
cout << "ERROR: " << e.err << endl;
}
ts->set_failed_test_info(passed ? CvTS::OK : CvTS::FAIL_GENERIC);
}
CV_GpuMatOpConvertTo CV_GpuMatOpConvertTo_test;