>>> import numpy as np
>>> import albumentations as A

# Shift RGB channels of uint8 image
>>> transform = A.RGBShift(
...     r_shift_limit=30,  # Will sample red shift from [-30, 30]
...     g_shift_limit=(-20, 20),  # Will sample green shift from [-20, 20]
...     b_shift_limit=(-10, 10),  # Will sample blue shift from [-10, 10]
...     p=1.0
... )
>>> image = np.random.randint(0, 256, (100, 100, 3), dtype=np.uint8)
>>> shifted = transform(image=image)["image"]

# Same effect using AdditiveNoise
>>> transform = A.AdditiveNoise(
...     noise_type="uniform",
...     spatial_mode="constant",  # One value per channel
...     noise_params={
...         "ranges": [(-30/255, 30/255), (-20/255, 20/255), (-10/255, 10/255)]
...     },
...     p=1.0
... )
Parameters
