Rewrite the UMat Python wrapper

modules/core/misc/python/pyopencv_umat.hpp

+#ifdef HAVE_OPENCV_CORE
+
+#include "opencv2/core/mat.hpp"
+
+typedef std::vector<Range> vector_Range;
+
+CV_PY_TO_CLASS(UMat);
+CV_PY_FROM_CLASS(UMat);
+CV_PY_TO_ENUM(UMatUsageFlags);
+
+static bool cv_mappable_to(const Ptr<Mat>& src, Ptr<UMat>& dst)
+{
+    //dst.reset(new UMat(src->getUMat(ACCESS_RW)));
+    dst.reset(new UMat());
+    src->copyTo(*dst);
+    return true;
+}
+
+static void* cv_UMat_queue()
+{
+    return cv::ocl::Queue::getDefault().ptr();
+}
+
+static void* cv_UMat_context()
+{
+    return cv::ocl::Context::getDefault().ptr();
+}
+
+static Mat cv_UMat_get(const UMat* _self)
+{
+    Mat m;
+    m.allocator = &g_numpyAllocator;
+    _self->copyTo(m);
+    return m;
+}
+
+#endif

modules/core/misc/python/shadow_umat.hpp

+#error This is a shadow header file, which is not intended for processing by any compiler. \
+       Only bindings parser should handle this file.
+
+namespace cv
+{
+
+class CV_EXPORTS_W UMat
+{
+public:
+    //! default constructor
+    CV_WRAP UMat(UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    //! constructs 2D matrix of the specified size and type
+    // (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
+    CV_WRAP UMat(int rows, int cols, int type, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    CV_WRAP UMat(Size size, int type, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    //! constucts 2D matrix and fills it with the specified value _s.
+    CV_WRAP UMat(int rows, int cols, int type, const Scalar& s, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    CV_WRAP UMat(Size size, int type, const Scalar& s, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+
+    //! Mat is mappable to UMat
+    CV_WRAP_MAPPABLE(Ptr<Mat>);
+
+    //! returns the OpenCL queue used by OpenCV UMat
+    CV_WRAP_PHANTOM(static void* queue());
+
+    //! returns the OpenCL context used by OpenCV UMat
+    CV_WRAP_PHANTOM(static void* context());
+
+    //! copy constructor
+    CV_WRAP UMat(const UMat& m);
+
+    //! creates a matrix header for a part of the bigger matrix
+    CV_WRAP UMat(const UMat& m, const Range& rowRange, const Range& colRange = Range::all());
+    CV_WRAP UMat(const UMat& m, const Rect& roi);
+    CV_WRAP UMat(const UMat& m, const std::vector<Range>& ranges);
+
+    //CV_WRAP_AS(get) Mat getMat(int flags CV_WRAP_DEFAULT(ACCESS_RW)) const;
+    //! returns a numpy matrix
+    CV_WRAP_PHANTOM(Mat get() const);
+
+    //! returns true iff the matrix data is continuous
+    // (i.e. when there are no gaps between successive rows).
+    // similar to CV_IS_MAT_CONT(cvmat->type)
+    CV_WRAP bool isContinuous() const;
+
+    //! returns true if the matrix is a submatrix of another matrix
+    CV_WRAP bool isSubmatrix() const;
+
+    /*! Returns the OpenCL buffer handle on which UMat operates on.
+    The UMat instance should be kept alive during the use of the handle to prevent the buffer to be
+    returned to the OpenCV buffer pool.
+    */
+    CV_WRAP void* handle(int accessFlags) const;
+
+    // offset of the submatrix (or 0)
+    CV_PROP_RW size_t offset;
+};
+
+} // namespace cv

modules/python/test/test_umat.py

@@ -12,7 +12,7 @@ class UMat(NewOpenCVTests):
         data = np.random.random([512, 512])
         # UMat constructors
         data_um = cv.UMat(data)  # from ndarray
-        data_sub_um = cv.UMat(data_um, [128, 256], [128, 256])  # from UMat
+        data_sub_um = cv.UMat(data_um, (128, 256), (128, 256))  # from UMat
         data_dst_um = cv.UMat(128, 128, cv.CV_64F)  # from size/type
         # test continuous and submatrix flags
         assert data_um.isContinuous() and not data_um.isSubmatrix()