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Merge pull request #2396 from cudawarped:fix_python_cudawarping_cudaarithm

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Add python bindings to cudaobjdetect, cudawarping and cudaarithm

* Overload cudawarping functions to generate correct python bindings.
Add python wrapper to convolution funciton.

* Added shift and hog.

* Moved cuda python tests to this repo and added python bindings to SURF.

* Fix SURF documentation and allow meanshiftsegmention to create GpuMat internaly if not passed for python bindings consistency.

* Add correct cuda SURF test case.

* Fix python mog and mog2 python bindings, add tests and  correct cudawarping documentation.

* Updated KeyPoints in cuda::ORB::Convert python wrapper to be an output argument.

* Add changes suggested by alalek

* Added changes suggested by asmorkalov
This commit is contained in:
cudawarped
2020-01-29 09:54:42 +00:00
committed by GitHub
parent 223a3cdab8
commit d7d6360fce
17 changed files with 780 additions and 23 deletions
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10
modules/cudaarithm/include/opencv2/cudaarithm.hpp
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@@ -274,6 +274,10 @@ CV_EXPORTS_W void bitwise_xor(InputArray src1, InputArray src2, OutputArray dst,
*/
CV_EXPORTS void rshift(InputArray src, Scalar_<int> val, OutputArray dst, Stream& stream = Stream::Null());
CV_WRAP inline void rshift(InputArray src, Scalar val, OutputArray dst, Stream& stream = Stream::Null()) {
rshift(src, Scalar_<int>(val), dst, stream);
}
/** @brief Performs pixel by pixel right left of an image by a constant value.
@param src Source matrix. Supports 1, 3 and 4 channels images with CV_8U , CV_16U or CV_32S
@@ -284,6 +288,10 @@ depth.
*/
CV_EXPORTS void lshift(InputArray src, Scalar_<int> val, OutputArray dst, Stream& stream = Stream::Null());
CV_WRAP inline void lshift(InputArray src, Scalar val, OutputArray dst, Stream& stream = Stream::Null()) {
lshift(src, Scalar_<int>(val), dst, stream);
}
/** @brief Computes the per-element minimum of two matrices (or a matrix and a scalar).
@param src1 First source matrix or scalar.
@@ -858,7 +866,7 @@ public:
@param ccorr Flags to evaluate cross-correlation instead of convolution.
@param stream Stream for the asynchronous version.
*/
virtual void convolve(InputArray image, InputArray templ, OutputArray result, bool ccorr = false, Stream& stream = Stream::Null()) = 0;
CV_WRAP virtual void convolve(InputArray image, InputArray templ, OutputArray result, bool ccorr = false, Stream& stream = Stream::Null()) = 0;
};
/** @brief Creates implementation for cuda::Convolution .