Open hlmhlr opened 2 years ago
Hi, do you still need assistance with this issue?
I have the same needs
Hi @RUIXUEZHAOFENGNIAN , I won't be making that modification because it is a breaking change, but I can tell you how to do it yourself:
__init__()
and update()
. Put self.conf = bbox[4]
in each.get_state()
, add the confidence to the returned tensor with: arr_conf = np.expand_dims(np.array([self.conf]), 0)
. Put arr_conf
in the final np.concatenate
function, wherever you'd like.
Hi, Thanks for your repo with multi-class sort. Currently, sort outputs the following parameters: "frame_num, bbox_x1, bbox_y1, bbox_x2, bbox_y2, category, u_overdot, v_overdot, s_overdot, and identity".
How can I add confidence score value for the tracked objects? The output required is: "frame_num, bbox_x1, bbox_y1, bbox_x2, bbox_y2, category, u_overdot, v_overdot, s_overdot, identity, and confidence_score".
Your help would be highly appreciated. Thanks,