def resize(self, in_size, out_size):
'''
The function resize calculates new parameters of point after resizing image
:param in_size: input image size
:param out_size: output image size
:return: PointLocation class object
'''
new_size = sly_image.restore_proportional_size(in_size=in_size,
out_size=out_size)
frow = new_size[0] / in_size[0]
fcol = new_size[1] / in_size[1]
return self.scale_frow_fcol(frow=frow, fcol=fcol)
def resize_origin_and_bitmap(origin: PointLocation, bitmap: np.ndarray, in_size, out_size):
new_size = restore_proportional_size(in_size=in_size, out_size=out_size)
row_scale = new_size[0] / in_size[0]
col_scale = new_size[1] / in_size[1]
# TODO: Double check (+restore_proportional_size) or not? bitmap.shape and in_size are equal?
# Make sure the resulting size has at least one pixel in every direction (i.e. limit the shrinkage to avoid having
# empty bitmaps as a result).
scaled_rows = max(round(bitmap.shape[0] * row_scale), 1)
scaled_cols = max(round(bitmap.shape[1] * col_scale), 1)
scaled_origin = PointLocation(row=round(origin.row * row_scale), col=round(origin.col * col_scale))
scaled_bitmap = resize_inter_nearest(bitmap, (scaled_rows, scaled_cols))
return scaled_origin, scaled_bitmap
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
def resize(self, in_size, out_size):
new_size = sly_image.restore_proportional_size(in_size=in_size,
out_size=out_size)
frow = new_size[0] / in_size[0]
fcol = new_size[1] / in_size[1]
return self.scale_frow_fcol(frow=frow, fcol=fcol)
