| import cv2 | |
| import numpy as np | |
| def mask2bbox(mask): | |
| if len(np.where(mask > 0)[0]) == 0: | |
| print(f'not mask') | |
| return np.array([[0, 0], [0, 0]]).astype(np.int64) | |
| x_ = np.sum(mask, axis=0) | |
| y_ = np.sum(mask, axis=1) | |
| x0 = np.min(np.nonzero(x_)[0]) | |
| x1 = np.max(np.nonzero(x_)[0]) | |
| y0 = np.min(np.nonzero(y_)[0]) | |
| y1 = np.max(np.nonzero(y_)[0]) | |
| return np.array([[x0, y0], [x1, y1]]).astype(np.int64) | |
| def draw_outline(mask, frame): | |
| _, binary_mask = cv2.threshold(mask, 0, 255, cv2.THRESH_BINARY) | |
| contours, _ = cv2.findContours(binary_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) | |
| cv2.drawContours(frame, contours, -1, (0, 0, 255), 2) | |
| return frame | |
| def draw_points(points, modes, frame): | |
| neg_points = points[np.argwhere(modes == 0)[:, 0]] | |
| pos_points = points[np.argwhere(modes == 1)[:, 0]] | |
| for i in range(len(neg_points)): | |
| point = neg_points[i] | |
| cv2.circle(frame, (point[0], point[1]), 8, (255, 80, 80), -1) | |
| for i in range(len(pos_points)): | |
| point = pos_points[i] | |
| cv2.circle(frame, (point[0], point[1]), 8, (0, 153, 255), -1) | |
| return frame | |
| if __name__ == '__main__': | |
| pass | |