add part of opencv
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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class CV_ConnectedComponentsTest : public cvtest::BaseTest
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{
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public:
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CV_ConnectedComponentsTest();
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~CV_ConnectedComponentsTest();
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protected:
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void run(int);
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};
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CV_ConnectedComponentsTest::CV_ConnectedComponentsTest() {}
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CV_ConnectedComponentsTest::~CV_ConnectedComponentsTest() {}
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// This function force a row major order for the labels
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void normalizeLabels(Mat1i& imgLabels, int iNumLabels) {
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vector<int> vecNewLabels(iNumLabels + 1, 0);
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int iMaxNewLabel = 0;
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for (int r = 0; r<imgLabels.rows; ++r) {
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for (int c = 0; c<imgLabels.cols; ++c) {
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int iCurLabel = imgLabels(r, c);
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if (iCurLabel>0) {
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if (vecNewLabels[iCurLabel] == 0) {
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vecNewLabels[iCurLabel] = ++iMaxNewLabel;
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}
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imgLabels(r, c) = vecNewLabels[iCurLabel];
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}
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}
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}
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}
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void CV_ConnectedComponentsTest::run( int /* start_from */)
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{
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int ccltype[] = { cv::CCL_WU, cv::CCL_DEFAULT, cv::CCL_GRANA };
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string exp_path = string(ts->get_data_path()) + "connectedcomponents/ccomp_exp.png";
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Mat exp = imread(exp_path, 0);
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Mat orig = imread(string(ts->get_data_path()) + "connectedcomponents/concentric_circles.png", 0);
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if (orig.empty())
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{
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
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return;
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}
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Mat bw = orig > 128;
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for (uint cclt = 0; cclt < sizeof(ccltype)/sizeof(int); ++cclt)
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{
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Mat1i labelImage;
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int nLabels = connectedComponents(bw, labelImage, 8, CV_32S, ccltype[cclt]);
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normalizeLabels(labelImage, nLabels);
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// Validate test results
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for (int r = 0; r < labelImage.rows; ++r){
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for (int c = 0; c < labelImage.cols; ++c){
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int l = labelImage.at<int>(r, c);
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bool pass = l >= 0 && l <= nLabels;
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if (!pass){
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return;
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}
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}
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}
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if (exp.empty() || orig.size() != exp.size())
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{
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imwrite(exp_path, labelImage);
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exp = labelImage;
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}
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if (0 != cvtest::norm(labelImage > 0, exp > 0, NORM_INF))
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{
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
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return;
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}
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if (nLabels != cvtest::norm(labelImage, NORM_INF) + 1)
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{
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
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return;
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}
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}
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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TEST(Imgproc_ConnectedComponents, regression) { CV_ConnectedComponentsTest test; test.safe_run(); }
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TEST(Imgproc_ConnectedComponents, grana_buffer_overflow)
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{
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cv::Mat darkMask;
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darkMask.create(31, 87, CV_8U);
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darkMask = 0;
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cv::Mat labels;
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cv::Mat stats;
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cv::Mat centroids;
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int nbComponents = cv::connectedComponentsWithStats(darkMask, labels, stats, centroids, 8, CV_32S, cv::CCL_GRANA);
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EXPECT_EQ(1, nbComponents);
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}
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}} // namespace
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