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Runtime error
| 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 | |
| def resize_points(clicked_points, original_shape, resolution): | |
| original_height, original_width, _ = original_shape | |
| original_height = float(original_height) | |
| original_width = float(original_width) | |
| scale_factor = float(resolution) / min(original_height, original_width) | |
| resized_points = [] | |
| for point in clicked_points: | |
| x, y, lab = point | |
| resized_x = int(round(x * scale_factor)) | |
| resized_y = int(round(y * scale_factor)) | |
| resized_point = (resized_x, resized_y, lab) | |
| resized_points.append(resized_point) | |
| return resized_points | |
| def get_bounding_box(mask): | |
| # Convert PIL Image to numpy array | |
| mask = np.array(mask).astype(np.uint8) | |
| # Take the first channel (R) of the mask | |
| mask = mask[:,:,0] | |
| # Get the indices of elements that are not zero | |
| rows = np.any(mask, axis=0) | |
| cols = np.any(mask, axis=1) | |
| # Get the minimum and maximum indices where the elements are not zero | |
| rmin, rmax = np.where(rows)[0][[0, -1]] | |
| cmin, cmax = np.where(cols)[0][[0, -1]] | |
| # Return as [xmin, ymin, xmax, ymax] | |
| return [rmin, cmin, rmax, cmax] | |