opencv/modules/ocl/test/test_pyrdown.cpp
niko 97156897b2 format files to ANSI C style with coolformat
change the download channels to oclchannles()
fix bugs of arithm functions
perf fix of bilateral
bug fix of split test case
add build_warps functions
2012-10-11 16:22:47 +08:00

110 lines
3.5 KiB
C++

///////////////////////////////////////////////////////////////////////////////////////
//
// 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.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Dachuan Zhao, dachuan@multicorewareinc.com
// Yao Wang yao@multicorewareinc.com
//
// 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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//M*/
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
PARAM_TEST_CASE(PyrDown, MatType, int)
{
int type;
int channels;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
}
void Cleanup()
{
}
};
TEST_P(PyrDown, Mat)
{
for(int j = 0; j < LOOP_TIMES; j++)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Mat src = randomMat(rng, size, CV_MAKETYPE(type, channels), 0, 100, false);
cv::ocl::oclMat gsrc(src), gdst;
cv::Mat dst_cpu;
cv::pyrDown(src, dst_cpu);
cv::ocl::pyrDown(gsrc, gdst);
cv::Mat dst;
gdst.download(dst);
char s[1024] = {0};
EXPECT_MAT_NEAR(dst, dst_cpu, dst.depth() == CV_32F ? 1e-4f : 1.0f, s);
Cleanup();
}
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrDown, Combine(
Values(CV_8U, CV_32F), Values(1, 3, 4)));
#endif // HAVE_OPENCL