| 105 | } // namespace |
| 106 | |
| 107 | void ExportOpAverageBlur(py::module &m) |
| 108 | { |
| 109 | using namespace pybind11::literals; |
| 110 | py::options options; |
| 111 | options.disable_function_signatures(); |
| 112 | |
| 113 | const std::tuple<int, int> def_anchor{-1, -1}; |
| 114 | |
| 115 | m.def("averageblur", &AverageBlur, "src"_a, "kernel_size"_a, "kernel_anchor"_a = def_anchor, |
| 116 | "border"_a = NVCVBorderType::NVCV_BORDER_CONSTANT, py::kw_only(), "stream"_a = nullptr, R"pbdoc( |
| 117 | cvcuda.averageblur(src: cvcuda.Tensor, kernel_size: Tuple[int, int], kernel_anchor: Tuple[int, int], border: cvcuda.Border = cvcuda.Border.CONSTANT, stream: Optional[cvcuda.Stream] = None) -> cvcuda.Tensor |
| 118 | |
| 119 | Executes the AverageBlur operation on the given cuda stream. |
| 120 | |
| 121 | See also: |
| 122 | Refer to the CV-CUDA C API reference for the AverageBlur operator |
| 123 | for more details and usage examples. |
| 124 | |
| 125 | Args: |
| 126 | src (cvcuda.Tensor): Input tensor containing one or more images. |
| 127 | kernel_size (Tuple[int, int]): Specifies the size of the blur kernel. |
| 128 | kernel_anchor (Tuple[int, int]): Kernel anchor, use (-1,-1) to indicate kernel center. |
| 129 | border (cvcuda.Border, optional): Border mode to be used when accessing elements outside input image. |
| 130 | stream (cvcuda.Stream, optional): CUDA Stream on which to perform the operation. |
| 131 | |
| 132 | See also: |
| 133 | Refer to the CV-CUDA C API reference for the AverageBlur operator |
| 134 | for more details and usage examples. |
| 135 | |
| 136 | Returns: |
| 137 | cvcuda.Tensor: The output tensor. |
| 138 | |
| 139 | Caution: |
| 140 | Restrictions to several arguments may apply. Check the C |
| 141 | API references of the CV-CUDA operator. |
| 142 | )pbdoc"); |
| 143 | |
| 144 | m.def("averageblur_into", &AverageBlurInto, "dst"_a, "src"_a, "kernel_size"_a, "kernel_anchor"_a = def_anchor, |
| 145 | "border"_a = NVCVBorderType::NVCV_BORDER_CONSTANT, py::kw_only(), "stream"_a = nullptr, R"pbdoc( |
| 146 | cvcuda.averageblur_into(dst: cvcuda.Tensor, src: cvcuda.Tensor, kernel_size: Tuple[int, int], kernel_anchor: Tuple[int, int], border: cvcuda.Border = cvcuda.Border.CONSTANT, stream: Optional[cvcuda.Stream] = None) |
| 147 | |
| 148 | Executes the AverageBlur operation on the given cuda stream and writes the result into the 'dst' tensor. |
| 149 | |
| 150 | See also: |
| 151 | Refer to the CV-CUDA C API reference for the AverageBlur operator |
| 152 | for more details and usage examples. |
| 153 | |
| 154 | Args: |
| 155 | dst (cvcuda.Tensor): Output tensor to store the result of the operation. |
| 156 | src (cvcuda.Tensor): Input tensor containing one or more images. |
| 157 | kernel_size (Tuple[int, int]): Specifies the size of the blur kernel. |
| 158 | kernel_anchor (Tuple[int, int]): Kernel anchor, use (-1,-1) to indicate kernel center. |
| 159 | border (cvcuda.Border, optional): Border mode to be used when accessing elements outside input image. |
| 160 | stream (cvcuda.Stream, optional): CUDA Stream on which to perform the operation. |
| 161 | |
| 162 | Returns: |
| 163 | None |
| 164 | |