Crop the given image into four corners and the central crop, plus the flipped version of these (horizontal flipping is used by default). This transform returns a tuple of images and there may be a mismatch in the number of inputs and targets your Dataset returns.

transform_ten_crop(img, size, vertical_flip = FALSE)

Arguments

img

A magick-image, array or torch_tensor.

size

(sequence or int): Desired output size. If size is a sequence like (h, w), output size will be matched to this. If size is an int, smaller edge of the image will be matched to this number. i.e, if height > width, then image will be rescaled to (size * height / width, size).

vertical_flip

(bool): Use vertical flipping instead of horizontal

See also