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