Merge pull request #3211 from cudawarped:fix_cuda_minmax_python_bindings

modules/cudaarithm/include/opencv2/cudaarithm.hpp

@@ -620,7 +620,7 @@ The function does not work with CV_64F images on GPUs with the compute capabilit
 
 @sa minMaxLoc
  */
-CV_EXPORTS_W void minMax(InputArray src, double* minVal, double* maxVal, InputArray mask = noArray());
+CV_EXPORTS_W void minMax(InputArray src, CV_OUT double* minVal, CV_OUT double* maxVal, InputArray mask = noArray());
 /** @overload */
 CV_EXPORTS_W void findMinMax(InputArray src, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null());
 
@@ -637,7 +637,7 @@ The function does not work with CV_64F images on GPU with the compute capability
 
 @sa minMaxLoc
  */
-CV_EXPORTS_W void minMaxLoc(InputArray src, double* minVal, double* maxVal, Point* minLoc, Point* maxLoc,
+CV_EXPORTS_W void minMaxLoc(InputArray src, CV_OUT double* minVal, CV_OUT double* maxVal, CV_OUT Point* minLoc, CV_OUT Point* maxLoc,
                           InputArray mask = noArray());
 /** @overload */
 CV_EXPORTS_W void findMinMaxLoc(InputArray src, OutputArray minMaxVals, OutputArray loc,

modules/cudaarithm/misc/python/test/test_cudaarithm.py

@@ -154,6 +154,9 @@ class cudaarithm_test(NewOpenCVTests):
         cv.cuda.max(cuMat1, cuMat2, cuMatDst)
         self.assertTrue(np.allclose(cuMatDst.download(),cv.max(npMat1, npMat2)))
 
+        self.assertTrue(cv.cuda.minMax(cuMat1),cv.minMaxLoc(npMat1)[:2])
+        self.assertTrue(cv.cuda.minMaxLoc(cuMat1),cv.minMaxLoc(npMat1))
+
     def test_convolution(self):
         npMat = (np.random.random((128, 128)) * 255).astype(np.float32)
         npDims = np.array(npMat.shape)