| import numpy as np |
| import cv2 |
| import os |
|
|
|
|
| annotator_ckpts_path = os.path.join(os.path.dirname(__file__), 'ckpts') |
|
|
|
|
| def HWC3(x): |
| assert x.dtype == np.uint8 |
| if x.ndim == 2: |
| x = x[:, :, None] |
| assert x.ndim == 3 |
| H, W, C = x.shape |
| assert C == 1 or C == 3 or C == 4 |
| if C == 3: |
| return x |
| if C == 1: |
| return np.concatenate([x, x, x], axis=2) |
| if C == 4: |
| color = x[:, :, 0:3].astype(np.float32) |
| alpha = x[:, :, 3:4].astype(np.float32) / 255.0 |
| y = color * alpha + 255.0 * (1.0 - alpha) |
| y = y.clip(0, 255).astype(np.uint8) |
| return y |
|
|
|
|
| def resize_image(input_image, resolution): |
| H, W, C = input_image.shape |
| H = float(H) |
| W = float(W) |
| k = float(resolution) / min(H, W) |
| H *= k |
| W *= k |
| H = int(np.round(H / 64.0)) * 64 |
| W = int(np.round(W / 64.0)) * 64 |
| img = cv2.resize(input_image, (W, H), interpolation=cv2.INTER_LANCZOS4 if k > 1 else cv2.INTER_AREA) |
| return img |
|
|
