| 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__': |
| mask = cv2.imread('./debug/mask.jpg', cv2.IMREAD_GRAYSCALE) |
| frame = cv2.imread('./debug/frame.jpg') |
| draw_frame = draw_outline(mask, frame) |
| |
| cv2.imwrite('./debug/outline.jpg', draw_frame) |
|
|
| |
| |
| |
