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Add bindings and test
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@ -65,11 +65,20 @@ BORDER_REPLICATE , BORDER_CONSTANT , BORDER_REFLECT and BORDER_WRAP are supporte
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fastNlMeansDenoising
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*/
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CV_EXPORTS void nonLocalMeans(InputArray src, OutputArray dst,
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float h,
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int search_window = 21,
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int block_size = 7,
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int borderMode = BORDER_DEFAULT,
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Stream& stream = Stream::Null());
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float h,
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int search_window = 21,
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int block_size = 7,
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int borderMode = BORDER_DEFAULT,
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Stream& stream = Stream::Null());
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CV_WRAP inline void nonLocalMeans(const GpuMat& src, CV_OUT GpuMat& dst,
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float h,
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int search_window = 21,
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int block_size = 7,
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int borderMode = BORDER_DEFAULT,
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Stream& stream = Stream::Null())
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{
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nonLocalMeans(InputArray(src), OutputArray(dst), h, search_window, block_size, borderMode, stream);
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};
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/** @brief Perform image denoising using Non-local Means Denoising algorithm
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<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising> with several computational
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@ -93,10 +102,18 @@ FastNonLocalMeansDenoising::labMethod.
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fastNlMeansDenoising
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*/
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CV_EXPORTS void fastNlMeansDenoising(InputArray src, OutputArray dst,
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float h,
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int search_window = 21,
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int block_size = 7,
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Stream& stream = Stream::Null());
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float h,
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int search_window = 21,
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int block_size = 7,
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Stream& stream = Stream::Null());
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CV_WRAP inline void fastNlMeansDenoising(const GpuMat& src, CV_OUT GpuMat& dst,
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float h,
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int search_window = 21,
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int block_size = 7,
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Stream& stream = Stream::Null())
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{
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fastNlMeansDenoising(InputArray(src), OutputArray(dst), h, search_window, block_size, stream);
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}
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/** @brief Modification of fastNlMeansDenoising function for colored images
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@ -124,6 +141,14 @@ CV_EXPORTS void fastNlMeansDenoisingColored(InputArray src, OutputArray dst,
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int search_window = 21,
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int block_size = 7,
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Stream& stream = Stream::Null());
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CV_WRAP inline void fastNlMeansDenoisingColored(const GpuMat& src, CV_OUT GpuMat& dst,
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float h_luminance, float photo_render,
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int search_window = 21,
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int block_size = 7,
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Stream& stream = Stream::Null())
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{
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fastNlMeansDenoisingColored(InputArray(src), OutputArray(dst), h_luminance, photo_render, search_window, block_size, stream);
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}
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//! @} photo
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@ -64,5 +64,10 @@ class cuda_test(NewOpenCVTests):
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self.assertTrue(cuMat.step == 0)
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self.assertTrue(cuMat.size() == (0, 0))
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def test_cuda_denoising(self):
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self.assertEqual(True, hasattr(cv.cuda, 'fastNlMeansDenoising'))
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self.assertEqual(True, hasattr(cv.cuda, 'fastNlMeansDenoisingColored'))
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self.assertEqual(True, hasattr(cv.cuda, 'nonLocalMeans'))
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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