CopyMakeBorder

cvcuda.copymakeborder(src: nvcv.Tensor, border_mode: cvcuda.Border = cvcuda.Border.CONSTANT, border_value: List[float], top: int, bottom: int, right: int, stream: Optional[nvcv.cuda.Stream] = None) → nvcv.Tensor

Executes the Copy Make Border operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Copy Make Border operator for more details and usage examples.

Parameters

  • src (nvcv.Tensor) – Input tensor containing one or more images.

  • border_mode (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input image.

  • border_value (List[float], optional) – Border value to be used for constant border mode, each element of the array corresponds to the image color channel must be a size <= 4 and dim of 1, where the values specify the border color for each color channel.

  • top (int) – The top pixel position.

  • left (int) – The left pixel position.

  • bottom (int) – The bottom pixel position.

  • right (int) – The right pixel position.

  • stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.

Returns

The output tensor.

Return type

nvcv.Tensor

Caution

Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.copymakeborder(src: nvcv.ImageBatchVarShape, border_mode: cvcuda.Border = cvcuda.Border.CONSTANT, border_value: List[float], top: int, bottom: int, right: int, stream: Optional[nvcv.cuda.Stream] = None) -> nvcv.ImageBatchVarShape

Executes the Copy Make Border operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Copy Make Border operator for more details and usage examples.

Parameters

  • src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.

  • border_mode (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input image.

  • border_value (List[float], optional) – Border value to be used for constant border mode, each element of the array corresponds to the image color channel must be a size <= 4 and dim of 1, where the values specify the border color for each color channel.

  • top (nvcv.Tensor) – The top pixel position for each image.

  • left (nvcv.Tensor) – The left pixel position for each image.

  • out_heights (nvcv.Tensor) – The heights of each output image.

  • out_widths (nvcv.Tensor) – The widths of each output image.

  • stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.

Returns

The output image batch.

Return type

nvcv.ImageBatchVarShape

Caution

Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.copymakeborder_into(dst: nvcv.Tensor, src: nvcv.Tensor, border_mode: cvcuda.Border = cvcuda.Border.CONSTANT, border_value: List[float], top: int, bottom: int, right: int, stream: Optional[nvcv.cuda.Stream] = None)

Executes the Copy Make Border operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Copy Make Border operator for more details and usage examples.

Parameters

  • dst (nvcv.Tensor) – Output tensor to store the result of the operation.

  • src (nvcv.Tensor) – Input tensor containing one or more images.

  • border_mode (cvcuda.Border) – Border mode to be used when accessing elements outside input image.

  • border_value (List[float], optional) – Border value to be used for constant border mode, each element of the array corresponds to the image color channel must be a size <= 4 and dim of 1, where the values specify the border color for each color channel.

  • top (int) – The top pixel position.

  • left (int) – The left pixel position.

  • stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.

Returns

None

Caution

Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.copymakeborder_into(dst: nvcv.ImageBatchVarShape, src: nvcv.ImageBatchVarShape, border_mode: cvcuda.Border = cvcuda.Border.CONSTANT, border_value: List[float], top: int, bottom: int, right: int, stream: Optional[nvcv.cuda.Stream] = None)

Executes the Copy Make Border operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Copy Make Border operator for more details and usage examples.

Parameters

  • dst (nvcv.ImageBatchVarShape) – Output image batch containing the result of the operation.

  • src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.

  • border_mode (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input image.

  • border_value (List[float], optional) – Border value to be used for constant border mode, each element of the array corresponds to the image color channel must be a size <= 4 and dim of 1, where the values specify the border color for each color channel.

  • top (nvcv.Tensor) – The top pixel position for each image.

  • left (nvcv.Tensor) – The left pixel position for each image.

  • out_heights (nvcv.Tensor) – The heights of each output image.

  • out_widths (nvcv.Tensor) – The widths of each output image.

  • stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.

Returns

None

Caution

Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.copymakeborderstack(src: nvcv.ImageBatchVarShape, border_mode: cvcuda.Border = cvcuda.Border.CONSTANT, border_value: List[float], top: int, bottom: int, right: int, stream: Optional[nvcv.cuda.Stream] = None) → nvcv.Tensor

Executes the Copy Make Border Stack operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Copy Make Border Stack operator for more details and usage examples.

Parameters

  • src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.

  • border_mode (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input image.

  • border_value (List[float], optional) – Border value to be used for constant border mode, each element of the array corresponds to the image color channel must be a size <= 4 and dim of 1, where the values specify the border color for each color channel.

  • top (nvcv.Tensor) – The top pixel position for each image.

  • left (nvcv.Tensor) – The left pixel position for each image.

  • out_height (int) – The height of the output.

  • out_width (int) – The width of the output.

  • stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.

Returns

The output images.

Return type

nvcv.Tensor

Caution

Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.copymakeborderstack_into(dst: nvcv.Tensor, src: nvcv.ImageBatchVarShape, border_mode: cvcuda.Border = cvcuda.Border.CONSTANT, border_value: List[float], top: int, bottom: int, right: int, stream: Optional[nvcv.cuda.Stream] = None)

Executes the Copy Make Border Stack operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Copy Make Border Stack operator for more details and usage examples.

Parameters

  • dst (nvcv.Tensor) – Output tensor to store the result of the operation.

  • src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.

  • border_mode (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input image.

  • border_value (List[float], optional) – Border value to be used for constant border mode, each element of the array corresponds to the image color channel must be a size <= 4 and dim of 1, where the values specify the border color for each color channel.

  • top (nvcv.Tensor) – The top pixel position for each image.

  • left (nvcv.Tensor) – The left pixel position for each image.

  • out_height (int) – The height of the output.

  • out_width (int) – The width of the output.

  • stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.

Returns

None

Caution

Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.