GaussianNoise

cvcuda.gaussiannoise(src: nvcv.Tensor, mu: nvcv.Tensor, sigma: nvcv.Tensor, per_channel: bool, seed: int, stream: nvcv.cuda.Stream | None = None) → nvcv.Tensor

Executes the GaussianNoise operation on the given cuda stream.

See also

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

Parameters:

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

  • mu (nvcv.Tensor) – An array of size batch that gives the mu value of each image.

  • sigma (nvcv.Tensor) – An array of size batch that gives the sigma value of each image.

  • per_channel (bool) – Whether to add the same noise for all channels.

  • seed (int) – Seed for random numbers.

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

Returns:

The output image batch.

Return type:

nvcv.Tensor

Caution

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

cvcuda.gaussiannoise(src: nvcv.ImageBatchVarShape, mu: nvcv.Tensor, sigma: nvcv.Tensor, per_channel: bool, seed: int, stream: Optional[nvcv.cuda.Stream] = None) -> nvcv.ImageBatchVarShape

Executes the GaussianNoise operation on the given cuda stream.

See also

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

Parameters:

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

  • mu (nvcv.Tensor) – An array of size batch that gives the mu value of each image.

  • sigma (nvcv.Tensor) – An array of size batch that gives the sigma value of each image.

  • per_channel (bool) – Whether to add the same noise for all channels.

  • seed (int) – Seed for random numbers.

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

Returns:

The output image batch.

Return type:

cvcuda.ImageBatchVarShape

Caution

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

cvcuda.gaussiannoise_into(dst: nvcv.Tensor, src: nvcv.Tensor, mu: nvcv.Tensor, sigma: nvcv.Tensor, per_channel: bool, seed: int, stream: nvcv.cuda.Stream | None = None)

Executes the GaussianNoise operation on the given cuda stream.

See also

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

Parameters:

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

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

  • mu (nvcv.Tensor) – An array of size batch that gives the mu value of each image.

  • sigma (nvcv.Tensor) – An array of size batch that gives the sigma value of each image.

  • per_channel (bool) – Whether to add the same noise for all channels.

  • seed (int) – Seed for random numbers.

  • 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.gaussiannoise_into(dst: nvcv.ImageBatchVarShape, src: nvcv.ImageBatchVarShape, mu: nvcv.Tensor, sigma: nvcv.Tensor, per_channel: bool, seed: int, stream: Optional[nvcv.cuda.Stream] = None)

Executes the GaussianNoise operation on the given cuda stream.

See also

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

Parameters:

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

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

  • mu (nvcv.Tensor) – An array of size batch that gives the mu value of each image.

  • sigma (nvcv.Tensor) – An array of size batch that gives the sigma value of each image.

  • per_channel (bool) – Whether to add the same noise for all channels.

  • seed (int) – Seed for random numbers.

  • 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.