Gaussian
- cvcuda.gaussian(src: nvcv.Tensor, kernel_size: Tuple[int, int], sigma: Tuple[double, double], border: border_mode: cvcuda.Border, stream: Optional[nvcv.cuda.Stream] = None) nvcv.Tensor
Executes the Gaussian operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Gaussian operator for more details and usage examples.
- Parameters:
src (nvcv.Tensor) – Input tensor containing one or more images.
kernel_size (Tuple[int, int]) – Kernel width, height.
sigma (Tuple[double, double]) – Gaussian kernel standard deviation in X,Y directions.
border (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input image.
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.gaussian(src: nvcv.ImageBatchVarShape, kernel_size: nvcv.Tensor, sigma: nvcv.Tensor, border: border_mode: cvcuda.Border, stream: Optional[nvcv.cuda.Stream] = None) -> nvcv.ImageBatchVarShape
Executes the Gaussian operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Gaussian operator for more details and usage examples.
- Parameters:
src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.
kernel_size (nvcv.Tensor) – Kernel width, height.
sigma (nvcv.Tensor) – Gaussian kernel standard deviation in X,Y directions.
border (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input 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.gaussian_into(dst: nvcv.Tensor, src: Tensor, kernel_size: Tuple[int, int], sigma: Tuple[double, double], border: border_mode: cvcuda.Border, stream: Optional[nvcv.cuda.Stream] = None)
Executes the Gaussian operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Gaussian 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.
kernel_size (Tuple[int, int]) – Kernel width, height.
sigma (Tuple[double, double]) – Gaussian kernel standard deviation in X,Y directions.
border (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input 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.gaussian_into(dst: nvcv.ImageBatchVarShape, src: nvcv.ImageBatchVarShape, kernel_size: nvcv.Tensor, sigma: nvcv.Tensor, border: border_mode: cvcuda.Border, stream: Optional[nvcv.cuda.Stream] = None)
Executes the Gaussian operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Gaussian operator for more details and usage examples.
- Parameters:
src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.
dst (nvcv.ImageBatchVarShape) – Output image batch containing the result of the operation.
kernel_size (nvcv.Tensor) – Kernel width, height.
sigma (nvcv.Tensor) – Gaussian kernel standard deviation in X,Y directions.
border (cvcuda.Border, optional) – Border mode to be used when accessing elements outside input 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.