Apply affine transformation on an image keeping image center invariant

transform_affine(
  img,
  angle,
  translate,
  scale,
  shear,
  resample = 0,
  fillcolor = NULL
)

Arguments

img

A magick-image, array or torch_tensor.

angle

(float or int): rotation angle value in degrees, counter-clockwise.

translate

(tuple, optional): tuple of maximum absolute fraction for horizontal and vertical translations. For example translate=(a, b), then horizontal shift is randomly sampled in the range -img_width * a < dx < img_width * a and vertical shift is randomly sampled in the range -img_height * b < dy < img_height * b. Will not translate by default.

scale

(tuple, optional): scaling factor interval, e.g (a, b), then scale is randomly sampled from the range a <= scale <= b. Will keep original scale by default.

shear

(sequence or float or int, optional): Range of degrees to select from. If shear is a number, a shear parallel to the x axis in the range (-shear, +shear) will be applied. Else if shear is a tuple or list of 2 values a shear parallel to the x axis in the range (shear[1], shear[2]) will be applied. Else if shear is a tuple or list of 4 values, a x-axis shear in (shear[1], shear[2]) and y-axis shear in (shear[3], shear[4]) will be applied. Will not apply shear by default.

resample

(int, optional): An optional resampling filter.

fillcolor

(tuple or int): Optional fill color (Tuple for RGB Image and int for grayscale) for the area outside the transform in the output image (Pillow>=5.0.0). This option is not supported for Tensor input. Fill value for the area outside the transform in the output image is always 0.

See also