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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.