torch.nn.functional.interpolate

Task: smoothing

 def smoothen_pillow(i: Image, f: int = 4):
    w, h = i.width, i.height
    assert w % f == 0
    assert h % f == 0
    i = i.resize((w // f, h // f), resample=BILINEAR)
    i = i.resize((w, h), resample=BILINEAR)
    return i

Task: smoothing def smoothen_pillow ( i: Image, f: int = 4 ): w, h = i.width, i.height assert w % f == 0 assert h % f == 0 i = i.resize((w // f, h // f), resample=BILINEAR) i = i.resize((w, h), resample=BILINEAR) return i

	def smoothen_pillow(i: Image, f: int = 4):
	w, h = i.width, i.height
	assert w % f == 0
	assert h % f == 0
	i = i.resize((w // f, h // f), resample=BILINEAR)
	i = i.resize((w, h), resample=BILINEAR)
	return i