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import numpy as np | |
from basicsr.utils import bgr2ycbcr | |
def reorder_image(img, input_order='HWC'): | |
"""Reorder images to 'HWC' order. | |
If the input_order is (h, w), return (h, w, 1); | |
If the input_order is (c, h, w), return (h, w, c); | |
If the input_order is (h, w, c), return as it is. | |
Args: | |
img (ndarray): Input image. | |
input_order (str): Whether the input order is 'HWC' or 'CHW'. | |
If the input image shape is (h, w), input_order will not have | |
effects. Default: 'HWC'. | |
Returns: | |
ndarray: reordered image. | |
""" | |
if input_order not in ['HWC', 'CHW']: | |
raise ValueError(f"Wrong input_order {input_order}. Supported input_orders are 'HWC' and 'CHW'") | |
if len(img.shape) == 2: | |
img = img[..., None] | |
if input_order == 'CHW': | |
img = img.transpose(1, 2, 0) | |
return img | |
def to_y_channel(img): | |
"""Change to Y channel of YCbCr. | |
Args: | |
img (ndarray): Images with range [0, 255]. | |
Returns: | |
(ndarray): Images with range [0, 255] (float type) without round. | |
""" | |
img = img.astype(np.float32) / 255. | |
if img.ndim == 3 and img.shape[2] == 3: | |
img = bgr2ycbcr(img, y_only=True) | |
img = img[..., None] | |
return img * 255. | |