Merge pull request #1409 from SpecLad:imgproc-test-memerr

pull/1396/merge
Roman Donchenko 11 years ago committed by OpenCV Buildbot
commit a03c6decaf
  1. 6
      modules/imgproc/test/test_imgwarp.cpp
  2. 4
      modules/imgproc/test/test_imgwarp_strict.cpp

@ -1424,7 +1424,7 @@ TEST(Imgproc_fitLine_vector_2d, regression)
TEST(Imgproc_fitLine_Mat_2dC2, regression) TEST(Imgproc_fitLine_Mat_2dC2, regression)
{ {
cv::Mat mat1(3, 1, CV_32SC2); cv::Mat mat1 = Mat::zeros(3, 1, CV_32SC2);
std::vector<float> line1; std::vector<float> line1;
cv::fitLine(mat1, line1, CV_DIST_L2, 0 ,0 ,0); cv::fitLine(mat1, line1, CV_DIST_L2, 0 ,0 ,0);
@ -1444,7 +1444,7 @@ TEST(Imgproc_fitLine_Mat_2dC1, regression)
TEST(Imgproc_fitLine_Mat_3dC3, regression) TEST(Imgproc_fitLine_Mat_3dC3, regression)
{ {
cv::Mat mat1(2, 1, CV_32SC3); cv::Mat mat1 = Mat::zeros(2, 1, CV_32SC3);
std::vector<float> line1; std::vector<float> line1;
cv::fitLine(mat1, line1, CV_DIST_L2, 0 ,0 ,0); cv::fitLine(mat1, line1, CV_DIST_L2, 0 ,0 ,0);
@ -1454,7 +1454,7 @@ TEST(Imgproc_fitLine_Mat_3dC3, regression)
TEST(Imgproc_fitLine_Mat_3dC1, regression) TEST(Imgproc_fitLine_Mat_3dC1, regression)
{ {
cv::Mat mat2(2, 3, CV_32SC1); cv::Mat mat2 = Mat::zeros(2, 3, CV_32SC1);
std::vector<float> line2; std::vector<float> line2;
cv::fitLine(mat2, line2, CV_DIST_L2, 0 ,0 ,0); cv::fitLine(mat2, line2, CV_DIST_L2, 0 ,0 ,0);

@ -679,8 +679,8 @@ void CV_Remap_Test::generate_test_data()
MatIterator_<Vec2s> begin_x = mapx.begin<Vec2s>(), end_x = mapx.end<Vec2s>(); MatIterator_<Vec2s> begin_x = mapx.begin<Vec2s>(), end_x = mapx.end<Vec2s>();
for ( ; begin_x != end_x; ++begin_x) for ( ; begin_x != end_x; ++begin_x)
{ {
begin_x[0] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.cols + n - 1, 0))); (*begin_x)[0] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.cols + n - 1, 0)));
begin_x[1] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.rows + n - 1, 0))); (*begin_x)[1] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.rows + n - 1, 0)));
} }
if (interpolation != INTER_NEAREST) if (interpolation != INTER_NEAREST)

Loading…
Cancel
Save