mirror of
https://github.com/opencv/opencv_contrib.git
synced 2025-10-20 04:25:42 +08:00
typo
This commit is contained in:
@@ -5,7 +5,7 @@
|
|||||||
|
|
||||||
namespace opencv_test { namespace {
|
namespace opencv_test { namespace {
|
||||||
|
|
||||||
TEST(ximpgroc_Edgeboxes, regression)
|
TEST(ximgproc_Edgeboxes, regression)
|
||||||
{
|
{
|
||||||
//Testing Edgeboxes implementation by asking for one proposal
|
//Testing Edgeboxes implementation by asking for one proposal
|
||||||
//on a simple test image from the PASCAL VOC 2012 dataset.
|
//on a simple test image from the PASCAL VOC 2012 dataset.
|
||||||
|
@@ -5,7 +5,7 @@
|
|||||||
|
|
||||||
namespace opencv_test { namespace {
|
namespace opencv_test { namespace {
|
||||||
|
|
||||||
TEST(ximpgroc_StructuredEdgeDetection, regression)
|
TEST(ximgproc_StructuredEdgeDetection, regression)
|
||||||
{
|
{
|
||||||
cv::String subfolder = "cv/ximgproc/";
|
cv::String subfolder = "cv/ximgproc/";
|
||||||
cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;
|
cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;
|
||||||
|
@@ -18,7 +18,7 @@ static int createTestImage(Mat& src)
|
|||||||
return src_pixels;
|
return src_pixels;
|
||||||
}
|
}
|
||||||
|
|
||||||
TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
|
TEST(ximgproc_Thinning, simple_ZHANGSUEN)
|
||||||
{
|
{
|
||||||
Mat src;
|
Mat src;
|
||||||
int src_pixels = createTestImage(src);
|
int src_pixels = createTestImage(src);
|
||||||
@@ -33,7 +33,7 @@ TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
|
|||||||
#endif
|
#endif
|
||||||
}
|
}
|
||||||
|
|
||||||
TEST(ximpgroc_Thinning, simple_GUOHALL)
|
TEST(ximgproc_Thinning, simple_GUOHALL)
|
||||||
{
|
{
|
||||||
Mat src;
|
Mat src;
|
||||||
int src_pixels = createTestImage(src);
|
int src_pixels = createTestImage(src);
|
||||||
|
@@ -103,7 +103,7 @@ Training pipeline
|
|||||||
|
|
||||||
-# The final step is converting trained model from Matlab binary format to YAML which you can use
|
-# 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
|
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
|
How to use your model
|
||||||
---------------------
|
---------------------
|
||||||
|
Reference in New Issue
Block a user