Utilities

cvcuda.as_image(*args, **kwargs)

Overloaded function.

  1. as_image(buffer: cvcuda.ExternalBuffer, format: cvcuda.Format = nvcv.<Unknown image format: NVCV_IMAGE_FORMAT_NONE>) -> cvcuda.Image

Wrap an external buffer as an image and tie the buffer lifetime to the image

  1. as_image(buffer: list[object] = [], format: cvcuda.Format = nvcv.<Unknown image format: NVCV_IMAGE_FORMAT_NONE>) -> cvcuda.Image

Wrap a vector of external buffers as an image and tie the buffer lifetime to the image

cvcuda.as_images(buffers: list[object] = [], format: cvcuda.Format = nvcv.<Unknown image format: NVCV_IMAGE_FORMAT_NONE>) → cvcuda.ImageBatchVarShape

Wrap a vector of external buffers as a batch of images, and tie the buffers lifetime to it

cvcuda.as_stream(*args, **kwargs)

Overloaded function.

  1. as_stream(arg0: torch.cuda.Stream) -> cvcuda.Stream

  2. as_stream(arg0: ctypes.c_void_p) -> cvcuda.Stream

  3. as_stream(arg0: int) -> cvcuda.Stream

cvcuda.as_tensor(*args, **kwargs)

Overloaded function.

  1. as_tensor(buffer: cvcuda.ExternalBuffer, layout: Optional[cvcuda.TensorLayout] = None) -> cvcuda.Tensor

Wrap an existing buffer into a Tensor object with the given layout.

  1. as_tensor(image: nvcvpy::priv::Image) -> cvcuda.Tensor

Wrap an existing image into a Tensor object.

cvcuda.as_tensors(buffers: list[object] = [], layout: cvcuda.TensorLayout | None = None) → cvcuda.TensorBatch

Wrap a list of external buffers as a batch of tensors, and tie the buffers lifetime to it

cvcuda.reshape(tensor: cvcuda.Tensor, shape: tuple, layout: cvcuda.TensorLayout | None = None) → cvcuda.Tensor

Produces a tensor pointing to the same data but with a new shape and layout.