Skip to content

Add bindings to CUDA photo denoising functions #22562

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 7, 2022
Merged

Add bindings to CUDA photo denoising functions #22562

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
43 changes: 34 additions & 9 deletions modules/photo/include/opencv2/photo/cuda.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -65,11 +65,20 @@ BORDER_REPLICATE , BORDER_CONSTANT , BORDER_REFLECT and BORDER_WRAP are supporte
fastNlMeansDenoising
*/
CV_EXPORTS void nonLocalMeans(InputArray src, OutputArray dst,
float h,
int search_window = 21,
int block_size = 7,
int borderMode = BORDER_DEFAULT,
Stream& stream = Stream::Null());
float h,
int search_window = 21,
int block_size = 7,
int borderMode = BORDER_DEFAULT,
Stream& stream = Stream::Null());
CV_WRAP inline void nonLocalMeans(const GpuMat& src, CV_OUT GpuMat& dst,
float h,
int search_window = 21,
int block_size = 7,
int borderMode = BORDER_DEFAULT,
Stream& stream = Stream::Null())
{
nonLocalMeans(InputArray(src), OutputArray(dst), h, search_window, block_size, borderMode, stream);
};

/** @brief Perform image denoising using Non-local Means Denoising algorithm
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising> with several computational
Expand All @@ -93,10 +102,18 @@ FastNonLocalMeansDenoising::labMethod.
fastNlMeansDenoising
*/
CV_EXPORTS void fastNlMeansDenoising(InputArray src, OutputArray dst,
float h,
int search_window = 21,
int block_size = 7,
Stream& stream = Stream::Null());
float h,
int search_window = 21,
int block_size = 7,
Stream& stream = Stream::Null());
CV_WRAP inline void fastNlMeansDenoising(const GpuMat& src, CV_OUT GpuMat& dst,
float h,
int search_window = 21,
int block_size = 7,
Stream& stream = Stream::Null())
{
fastNlMeansDenoising(InputArray(src), OutputArray(dst), h, search_window, block_size, stream);
}

/** @brief Modification of fastNlMeansDenoising function for colored images

Expand Down Expand Up @@ -124,6 +141,14 @@ CV_EXPORTS void fastNlMeansDenoisingColored(InputArray src, OutputArray dst,
int search_window = 21,
int block_size = 7,
Stream& stream = Stream::Null());
CV_WRAP inline void fastNlMeansDenoisingColored(const GpuMat& src, CV_OUT GpuMat& dst,
float h_luminance, float photo_render,
int search_window = 21,
int block_size = 7,
Stream& stream = Stream::Null())
{
fastNlMeansDenoisingColored(InputArray(src), OutputArray(dst), h_luminance, photo_render, search_window, block_size, stream);
}

//! @} photo

Expand Down
5 changes: 5 additions & 0 deletions modules/python/test/test_cuda.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -64,5 +64,10 @@ def test_cuda_release(self):
self.assertTrue(cuMat.step == 0)
self.assertTrue(cuMat.size() == (0, 0))

def test_cuda_denoising(self):
self.assertEqual(True, hasattr(cv.cuda, 'fastNlMeansDenoising'))
self.assertEqual(True, hasattr(cv.cuda, 'fastNlMeansDenoisingColored'))
self.assertEqual(True, hasattr(cv.cuda, 'nonLocalMeans'))

if __name__ == '__main__':
NewOpenCVTests.bootstrap()