def scale(img: np.ndarray, ann: Annotation, frow: float = None, fcol: float = None, f: float = None) \
-> (np.ndarray, Annotation):
"""
Resize the input image array and annotation to the given size.
Args:
img: Input image array.
ann: Input annotation.
frow: Desired height scale height value
frow: Desired width scale width value
f: Desired height and width scale values in one
Returns:
A tuple containing resized image array and annotation.
"""
_validate_image_annotation_shape(img, ann)
new_size = sly_image.restore_proportional_size(in_size=ann.img_size, frow=frow, fcol=fcol, f=f)
res_img = sly_image.resize(img, new_size)
res_ann = ann.resize(new_size)
return res_img, res_ann
def resize(img: np.ndarray, ann: Annotation, size: tuple) -> (np.ndarray, Annotation):
"""
Resize the input image array and annotation to the given size.
Args:
img: Input image array.
ann: Input annotation.
size: Desired size (height, width) in pixels or -1. If one of values is -1 and "keep": true then for
specific width height will be automatically computed to keep aspect ratio.
Returns:
A tuple containing resized image array and annotation.
"""
_validate_image_annotation_shape(img, ann)
height = take_with_default(size[0], -1) # For backward capability
width = take_with_default(size[1], -1)
size = (height, width)
new_size = sly_image.restore_proportional_size(in_size=ann.img_size, out_size=size)
res_img = sly_image.resize(img, new_size)
res_ann = ann.resize(new_size)
return res_img, res_ann