def motion_saliency(flow_mag, n):
prior = flow_mag / np.max(flow_mag)
filt = np.ones((n, n))/n/n
likeli = cv2.filter2D(flow_mag.astype(np.float32), -1, filt)
likeli = (likeli - likeli.min()) / (likeli.max() - likeli.min())
return likeli * prior
get_motion_salient_boxes.py 文件源码
python
阅读 20
收藏 0
点赞 0
评论 0
评论列表
文章目录