| import numpy as np | |
| from r_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. | |