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perftest for floodfill

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mlyashko 2014-05-29 13:36:13 +04:00
parent ab2749d648
commit f0e3940558
1 changed files with 73 additions and 0 deletions
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modules/imgproc/perf/perf_floodfill.cpp Normal file
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2014, Itseez, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using namespace testing;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<string, Point, int, int, int, int> Size_Source_Fl_t;
typedef perf::TestBaseWithParam<Size_Source_Fl_t> Size_Source_Fl;
PERF_TEST_P(Size_Source_Fl, floodFill1, Combine(
testing::Values("cv/shared/fruits.png", "cv/optflow/RubberWhale1.png"), //images
testing::Values(Point(120, 82), Point(200, 140)), //seed points
testing::Values(4,8), //connectivity
testing::Values((int)IMREAD_COLOR, (int)IMREAD_GRAYSCALE), //color image, or not
testing::Values(0, 1, 2), //use fixed(1), gradient (2) or simple(0) mode
testing::Values((int)CV_8U, (int)CV_32F, (int)CV_32S) //image depth
))
{
//test given image(s)
string filename = getDataPath(get<0>(GetParam()));
Point pseed;
pseed = get<1>(GetParam());
int connectivity = get<2>(GetParam());
int colorType = get<3>(GetParam());
int modeType = get<4>(GetParam());
int imdepth = get<5>(GetParam());
Mat image0 = imread(filename, colorType);
Scalar newval, loVal, upVal;
if (modeType == 0)
{
loVal = Scalar(0, 0, 0);
upVal = Scalar(0, 0, 0);
}
else
{
loVal = Scalar(4, 4, 4);
upVal = Scalar(20, 20, 20);
}
int newMaskVal = 255; //base mask for floodfill type
int flags = connectivity + (newMaskVal << 8) + (modeType == 1 ? FLOODFILL_FIXED_RANGE : 0);
int b = 152;//(unsigned)theRNG() & 255;
int g = 136;//(unsigned)theRNG() & 255;
int r = 53;//(unsigned)theRNG() & 255;
newval = (colorType == IMREAD_COLOR) ? Scalar(b, g, r) : Scalar(r*0.299 + g*0.587 + b*0.114);
Rect outputRect = Rect();
Mat source = Mat();
for (; next(); )
{
image0.convertTo(source, imdepth);
startTimer();
cv::floodFill(source, pseed, newval, &outputRect, loVal, upVal, flags);
stopTimer();
}
EXPECT_EQ(image0.cols, source.cols);
EXPECT_EQ(image0.rows, source.rows);
SANITY_CHECK_NOTHING();
}