nvidia.dali.fn.paste¶

nvidia.dali.fn.paste(__input, /, *, fill_value, ratio, bytes_per_sample_hint=[0], min_canvas_size=0.0, n_channels=3, paste_x=0.5, paste_y=0.5, preserve=False, seed=-1, device=None, name=None)¶

Pastes the input images on a larger canvas, where the canvas size is equal to input size * ratio.

Supported backends

‘gpu’

Parameters:

__input (TensorList ('HWC')) – Input to the operator.

Keyword Arguments:

fill_value (int or list of int) –
Tuple of the values of the color that is used to fill the canvas.

The length of the tuple must be equal to n_channels.
ratio (float or TensorList of float) – Ratio of canvas size to input size. Must be >= 1.
bytes_per_sample_hint (int or list of int, optional, default = [0]) –
Output size hint, in bytes per sample.

If specified, the operator’s outputs residing in GPU or page-locked host memory will be preallocated to accommodate a batch of samples of this size.
min_canvas_size (float or TensorList of float, optional, default = 0.0) – Enforces the minimum paste canvas dimension after scaling the input size by the ratio.
n_channels (int, optional, default = 3) – Number of channels in the image.
paste_x (float or TensorList of float, optional, default = 0.5) – Horizontal position of the paste in (0.0 - 1.0) image coordinates.
paste_y (float or TensorList of float, optional, default = 0.5) – Vertical position of the paste in (0.0 - 1.0) image coordinates.
preserve (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.
seed (int, optional, default = -1) –
Random seed.

If not provided, it will be populated based on the global seed of the pipeline.