|
| 1 | +import cv2 |
| 2 | +import numpy as np |
| 3 | +import math |
| 4 | +import osgar.explore |
| 5 | + |
| 6 | +NO_MEASUREMENT = 0 |
| 7 | +MAX_OBSTACLE_DISTANCE = 20 |
| 8 | + |
| 9 | + |
| 10 | +def draw_scan(scan, max_obstacle_distance=None, scan_left=135, scan_right=-135): |
| 11 | + if max_obstacle_distance is None: |
| 12 | + max_obstacle_distance = MAX_OBSTACLE_DISTANCE |
| 13 | + n = len(scan) |
| 14 | + scan = np.asarray(scan) / 1000 |
| 15 | + |
| 16 | + angles = np.linspace(math.radians(scan_right), math.radians(scan_left), n).reshape((1, -1)) |
| 17 | + angles_cos = np.cos(angles) |
| 18 | + angles_sin = np.sin(angles) |
| 19 | + is_valid = scan != NO_MEASUREMENT |
| 20 | + valid_scan = scan[is_valid] |
| 21 | + is_valid = is_valid.reshape((1, -1)) |
| 22 | + acoss = angles_cos[is_valid] |
| 23 | + asins = angles_sin[is_valid] |
| 24 | + x = acoss * valid_scan |
| 25 | + y = asins * valid_scan |
| 26 | + far_map = valid_scan > max_obstacle_distance |
| 27 | + |
| 28 | + height_px = 768 |
| 29 | + width_px = 1024 |
| 30 | + img = np.zeros((height_px, width_px, 3), dtype=np.uint8) |
| 31 | + |
| 32 | + scale = 50 |
| 33 | + for ix, iy, is_far in zip(x, y, far_map): |
| 34 | + point = (width_px//2 - int(iy*scale), height_px//2 - int(ix*scale)) |
| 35 | + color = (0, 255, 0) if not is_far else (120, 120, 120) |
| 36 | + cv2.circle(img, point, radius=3, color=color, thickness=-1) |
| 37 | + |
| 38 | + point = (width_px//2, height_px//2) |
| 39 | + point2 = (width_px//2, height_px//2-20) |
| 40 | + cv2.drawMarker(img, point, color=(0, 0, 255), markerType=cv2.MARKER_DIAMOND, thickness=3, markerSize=10) |
| 41 | + cv2.line(img, point, point2, thickness=3, color=(0, 0, 255)) |
| 42 | + return img |
0 commit comments