Function ExportOpErase

python/mod_cvcuda/operators/OpErase.cpp:117–252

} // namespace

void ExportOpErase(py::module &m)
{
    using namespace pybind11::literals;
    py::options options;
    options.disable_function_signatures();

    m.def("erase", &Erase, "src"_a, "anchor"_a, "erasing"_a, "values"_a, "imgIdx"_a, py::kw_only(), "random"_a = false,
          "seed"_a = 0, "stream"_a = nullptr, R"pbdoc(

	cvcuda.erase(src: cvcuda.Tensor, anchor: cvcuda.Tensor, erasing: cvcuda.Tensor, values: cvcuda.Tensor, imgIdx: cvcuda.Tensor, random: int, seed: int, stream: Optional[cvcuda.Stream] = None) -> cvcuda.Tensor

	Executes the Erase operation on the given cuda stream.

        See also:
            Refer to the CV-CUDA C API reference for the Erase operator
            for more details and usage examples.

        Args:
            src (cvcuda.Tensor): Input tensor containing one or more images.
            anchor (cvcuda.Tensor): anchor an array of size num_erasing_area that gives the
                             x coordinate and y coordinate of the top left point in the eraseing areas.
            erasing (cvcuda.Tensor): Eraisng an array of size num_erasing_area that gives the widths of the eraseing areas,
                              the heights of the eraseing areas and integers in range 0-15, each of whose bits
                              indicates whether or not the corresponding channel need to be erased.
            values (cvcuda.Tensor): An array of size num_erasing_area*4 that gives the filling value for each erase area.
            imgIdx (cvcuda.Tensor): An array of size num_erasing_area that maps a erase area idx to img idx in the batch.
            random (int, optional): 8-bit integer value for random op.
            seed (int, optional): seed random seed for random filling erase area.
            stream (cvcuda.Stream, optional): CUDA Stream on which to perform the operation.

        Returns:
            cvcuda.Tensor: The output tensor.

        Caution:
            Restrictions to several arguments may apply. Check the C
            API references of the CV-CUDA operator.
    )pbdoc");

    m.def("erase_into", &EraseInto, "dst"_a, "src"_a, "anchor"_a, "erasing"_a, "values"_a, "imgIdx"_a, py::kw_only(),
          "random"_a = false, "seed"_a = 0, "stream"_a = nullptr, R"pbdoc(

	cvcuda.erase_into(dst: cvcuda.Tensor, src: cvcuda.Tensor, anchor: cvcuda.Tensor, erasing: cvcuda.Tensor, values: cvcuda.Tensor, imgIdx: cvcuda.Tensor, random: int, seed: int, stream: Optional[cvcuda.Stream] = None)

        Executes the Erase operation on the given cuda stream.

        See also:
            Refer to the CV-CUDA C API reference for the Erase operator
            for more details and usage examples.

        Args:
            dst (cvcuda.Tensor): Output tensor to store the result of the operation.
            src (cvcuda.Tensor): Input tensor containing one or more images.
            anchor (cvcuda.Tensor): anchor an array of size num_erasing_area that gives the
                             x coordinate and y coordinate of the top left point in the eraseing areas.
            erasing (cvcuda.Tensor): Eraisng an array of size num_erasing_area that gives the widths of the eraseing areas,
                              the heights of the eraseing areas and integers in range 0-15, each of whose bits
                              indicates whether or not the corresponding channel need to be erased.
            values (cvcuda.Tensor): An array of size num_erasing_area*4 that gives the filling value for each erase area.