mindspore.dataset.vision.c_transforms.RandomResizeWithBBox

class mindspore.dataset.vision.c_transforms.RandomResizeWithBBox(size)[source]

Tensor operation to resize the input image using a randomly selected interpolation mode and adjust bounding boxes accordingly.

Parameters: size (Union[int, sequence]) – The output size of the resized image. If size is an integer, smaller edge of the image will be resized to this value with the same image aspect ratio. If size is a sequence of length 2, it should be (height, width).

Examples

>>> # randomly resize image with bounding boxes, keeping aspect ratio
>>> transforms_list1 = [c_vision.Decode(), c_vision.RandomResizeWithBBox(60)]
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list1,
...                                                 input_columns=["image"])
>>> # randomly resize image with bounding boxes to portrait style
>>> transforms_list2 = [c_vision.Decode(), c_vision.RandomResizeWithBBox((80, 60))]
>>> image_folder_dataset_1 = image_folder_dataset_1.map(operations=transforms_list2,
...                                                     input_columns=["image"])