mindspore.dataset.vision.c_transforms.Pad
- class mindspore.dataset.vision.c_transforms.Pad(padding, fill_value=0, padding_mode=Border.CONSTANT)[source]
Pads the image according to padding parameters.
- Parameters
padding (Union[int, sequence]) – The number of pixels to pad the image. If a single number is provided, it pads all borders with this value. If a tuple or list of 2 values are provided, it pads the (left and top) with the first value and (right and bottom) with the second value. If 4 values are provided as a list or tuple, it pads the left, top, right and bottom respectively.
fill_value (Union[int, tuple], optional) – The pixel intensity of the borders, only valid for padding_mode Border.CONSTANT (default=0). If it is an integer, it is used for all RGB channels. If it is a 3-tuple, it is used to fill R, G, B channels respectively. The fill_value values must be in range [0, 255].
padding_mode (Border mode, optional) –
The method of padding (default=Border.CONSTANT). Can be any of [Border.CONSTANT, Border.EDGE, Border.REFLECT, Border.SYMMETRIC].
Border.CONSTANT, means it fills the border with constant values.
Border.EDGE, means it pads with the last value on the edge.
Border.REFLECT, means it reflects the values on the edge omitting the last value of edge.
Border.SYMMETRIC, means it reflects the values on the edge repeating the last value of edge.
Examples
>>> import mindspore.dataset.vision.c_transforms as c_vision >>> from mindspore.dataset.transforms.vision import Border >>> >>> transforms_list = [c_vision.Decode(), c_vision.Pad([100, 100, 100, 100])] >>> data1 = data1.map(operations=transforms_list, input_columns=["image"])