Open Source Computer Vision Library https://opencv.org/
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#include "test_precomp.hpp"
namespace opencv_test { namespace {
class CV_ConnectedComponentsTest : public cvtest::BaseTest
{
public:
CV_ConnectedComponentsTest();
~CV_ConnectedComponentsTest();
protected:
void run(int);
};
CV_ConnectedComponentsTest::CV_ConnectedComponentsTest() {}
CV_ConnectedComponentsTest::~CV_ConnectedComponentsTest() {}
// This function force a row major order for the labels
void normalizeLabels(Mat1i& imgLabels, int iNumLabels) {
vector<int> vecNewLabels(iNumLabels + 1, 0);
int iMaxNewLabel = 0;
for (int r = 0; r<imgLabels.rows; ++r) {
for (int c = 0; c<imgLabels.cols; ++c) {
int iCurLabel = imgLabels(r, c);
if (iCurLabel>0) {
if (vecNewLabels[iCurLabel] == 0) {
vecNewLabels[iCurLabel] = ++iMaxNewLabel;
}
imgLabels(r, c) = vecNewLabels[iCurLabel];
}
}
}
}
void CV_ConnectedComponentsTest::run( int /* start_from */)
{
int ccltype[] = { cv::CCL_WU, cv::CCL_DEFAULT, cv::CCL_GRANA };
string exp_path = string(ts->get_data_path()) + "connectedcomponents/ccomp_exp.png";
Mat exp = imread(exp_path, 0);
Mat orig = imread(string(ts->get_data_path()) + "connectedcomponents/concentric_circles.png", 0);
if (orig.empty())
{
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
Mat bw = orig > 128;
for (uint cclt = 0; cclt < sizeof(ccltype)/sizeof(int); ++cclt)
{
Mat1i labelImage;
int nLabels = connectedComponents(bw, labelImage, 8, CV_32S, ccltype[cclt]);
normalizeLabels(labelImage, nLabels);
// Validate test results
for (int r = 0; r < labelImage.rows; ++r){
for (int c = 0; c < labelImage.cols; ++c){
int l = labelImage.at<int>(r, c);
bool pass = l >= 0 && l <= nLabels;
if (!pass){
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
}
}
if (exp.empty() || orig.size() != exp.size())
{
imwrite(exp_path, labelImage);
exp = labelImage;
}
if (0 != cvtest::norm(labelImage > 0, exp > 0, NORM_INF))
{
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
return;
}
if (nLabels != cvtest::norm(labelImage, NORM_INF) + 1)
{
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
return;
}
}
ts->set_failed_test_info(cvtest::TS::OK);
}
TEST(Imgproc_ConnectedComponents, regression) { CV_ConnectedComponentsTest test; test.safe_run(); }
TEST(Imgproc_ConnectedComponents, grana_buffer_overflow)
{
cv::Mat darkMask;
darkMask.create(31, 87, CV_8U);
darkMask = 0;
cv::Mat labels;
cv::Mat stats;
cv::Mat centroids;
int nbComponents = cv::connectedComponentsWithStats(darkMask, labels, stats, centroids, 8, CV_32S, cv::CCL_GRANA);
EXPECT_EQ(1, nbComponents);
}
static cv::Mat createCrashMat(int numThreads) {
const int h = numThreads * 4 * 2 + 8;
const double nParallelStripes = std::max(1, std::min(h / 2, numThreads * 4));
const int w = 4;
const int nstripes = cvRound(nParallelStripes <= 0 ? h : MIN(MAX(nParallelStripes, 1.), h));
const cv::Range stripeRange(0, nstripes);
const cv::Range wholeRange(0, h);
cv::Mat m(h, w, CV_8U);
m = 0;
// Look for a range that starts with odd value and ends with even value
cv::Range bugRange;
for (int s = stripeRange.start; s < stripeRange.end; s++) {
cv::Range sr(s, s + 1);
cv::Range r;
r.start = (int) (wholeRange.start +
((uint64) sr.start * (wholeRange.end - wholeRange.start) + nstripes / 2) / nstripes);
r.end = sr.end >= nstripes ?
wholeRange.end :
(int) (wholeRange.start +
((uint64) sr.end * (wholeRange.end - wholeRange.start) + nstripes / 2) / nstripes);
if (r.start > 0 && r.start % 2 == 1 && r.end % 2 == 0 && r.end >= r.start + 2) {
bugRange = r;
break;
}
}
if (bugRange.empty()) { // Could not create a buggy range
return m;
}
// Fill in bug Range
for (int x = 1; x < w; x++) {
m.at<char>(bugRange.start - 1, x) = 1;
}
m.at<char>(bugRange.start + 0, 0) = 1;
m.at<char>(bugRange.start + 0, 1) = 1;
m.at<char>(bugRange.start + 0, 3) = 1;
m.at<char>(bugRange.start + 1, 1) = 1;
m.at<char>(bugRange.start + 2, 1) = 1;
m.at<char>(bugRange.start + 2, 3) = 1;
m.at<char>(bugRange.start + 3, 0) = 1;
m.at<char>(bugRange.start + 3, 1) = 1;
return m;
}
TEST(Imgproc_ConnectedComponents, parallel_wu_labels)
{
cv::Mat mat = createCrashMat(cv::getNumThreads());
if(mat.empty()) {
return;
}
const int nbPixels = cv::countNonZero(mat);
cv::Mat labels;
cv::Mat stats;
cv::Mat centroids;
int nb = 0;
EXPECT_NO_THROW( nb = cv::connectedComponentsWithStats(mat, labels, stats, centroids, 8, CV_32S, cv::CCL_WU) );
int area = 0;
for(int i=1; i<nb; ++i) {
area += stats.at<int32_t>(i, cv::CC_STAT_AREA);
}
EXPECT_EQ(nbPixels, area);
}
}} // namespace