- nvidia.dali.fn.paste(*inputs, **kwargs)¶
Pastes the input images on a larger canvas, where the canvas size is equal to
input size * ratio.
- Supported backends
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
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 = ) –
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) –
If not provided, it will be populated based on the global seed of the pipeline.