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mirror of https://github.com/opencv/opencv_contrib.git synced 2025-10-19 19:44:14 +08:00
This commit is contained in:
Alexander Alekhin
2019-11-13 19:58:48 +03:00
parent 22f0ea0cb3
commit ad8f00017a
4 changed files with 5 additions and 5 deletions

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@@ -5,7 +5,7 @@
namespace opencv_test { namespace {
TEST(ximpgroc_Edgeboxes, regression)
TEST(ximgproc_Edgeboxes, regression)
{
//Testing Edgeboxes implementation by asking for one proposal
//on a simple test image from the PASCAL VOC 2012 dataset.

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@@ -5,7 +5,7 @@
namespace opencv_test { namespace {
TEST(ximpgroc_StructuredEdgeDetection, regression)
TEST(ximgproc_StructuredEdgeDetection, regression)
{
cv::String subfolder = "cv/ximgproc/";
cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;

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@@ -18,7 +18,7 @@ static int createTestImage(Mat& src)
return src_pixels;
}
TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
TEST(ximgproc_Thinning, simple_ZHANGSUEN)
{
Mat src;
int src_pixels = createTestImage(src);
@@ -33,7 +33,7 @@ TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
#endif
}
TEST(ximpgroc_Thinning, simple_GUOHALL)
TEST(ximgproc_Thinning, simple_GUOHALL)
{
Mat src;
int src_pixels = createTestImage(src);

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@@ -103,7 +103,7 @@ Training pipeline
-# The final step is converting trained model from Matlab binary format to YAML which you can use
with our ocv::StructuredEdgeDetection. For this purpose run
opencv_contrib/ximpgroc/tutorials/scripts/modelConvert(model, "model.yml")
opencv_contrib/ximgproc/tutorials/scripts/modelConvert(model, "model.yml")
How to use your model
---------------------