(a_lods, lod)
| 44 | cv2.randu(a, np.array([0]), np.array([1])) |
| 45 | |
| 46 | def process_scale(a_lods, lod): |
| 47 | d = a_lods[lod] - cv2.pyrUp(a_lods[lod+1]) |
| 48 | for i in xrange(lod): |
| 49 | d = cv2.pyrUp(d) |
| 50 | v = cv2.GaussianBlur(d*d, (3, 3), 0) |
| 51 | return np.sign(d), v |
| 52 | |
| 53 | scale_num = 6 |
| 54 | for frame_i in count(): |