Resize

cvcuda.resize(src: nvcv.Tensor, shape: Tuple[int], interp: cvcuda.Interp = cvcuda.Interp.LINEAR, stream: nvcv.cuda.Stream | None = None) → nvcv.Tensor

Executes the Resize operation on the given cuda stream.

See also

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

Parameters:

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

  • shape (Tuple[int]) – Shape of output tensor.

  • interp (cvcuda.Interp, optional) – Interpolation type used for transform.

  • 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.resize(src: nvcv.ImageBatchVarShape, interp: cvcuda.Interp = cvcuda.Interp.LINEAR, stream: Optional[nvcv.cuda.Stream] = None) -> nvcv.ImageBatchVarShape

Executes the Resize operation on the given cuda stream.

See also

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

Parameters:

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

  • sizes (Tuple vector) – Shapes of output images.

  • interp (cvcuda.Interp, optional) – Interpolation type used for transform.

  • 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.resize_into(dst: nvcv.Tensor, src: nvcv.Tensor, interp: cvcuda.Interp = cvcuda.Interp.LINEAR, stream: nvcv.cuda.Stream | None = None)

Executes the Resize operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Resize 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.

  • interp (cvcuda.Interp, optional) – Interpolation type used for transform.

  • 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.resize_into(dst: nvcv.ImageBatchVarShape, src: nvcv.ImageBatchVarShape, interp: cvcuda.Interp = cvcuda.Interp.LINEAR, stream: Optional[nvcv.cuda.Stream] = None)

Executes the Resize operation on the given cuda stream.

See also

Refer to the CV-CUDA C API reference for the Resize 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.

  • interp (cvcuda.Interp, optional) – Interpolation type used for transform.

  • 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.