JialianW/TraDeS

demo parameters

Closed this issue · 5 comments

pqviet commented

I have tried the demo (with default parameters) on a very simple video which is tracking only 1 person, and found 2 following problems

  1. If it fails to detect the person at the current frame, it will assign a new track ID at the next frame
  2. Sometimes there are 2 overlapped detection boxes (with different track IDs) with very high IOU at the same place
    How can I fine-tune the default parameters to overcome these problems?
JialianW commented

  1. We recommend you use the Crowdhuman pretrained model to test your own video.

  2. Yes, in some cases, it will assign a new ID if it has low matching score with previous targets.

  3. You can use box NMS to filter out highly overlapped boxes.

pqviet commented

Where can I change the track matching score and box NMX? Thanks.

JialianW commented

You can change the matching score threshold here:

TraDeS/src/lib/utils/tracker.py

Line 136 in 3eafd24

if max_cos >= 0.3 and self.tracklet_ages[max_id - 1] < self.opt.window_size:

For using box NMS, try to add like this --box_nms 0.7 for your commend.

  • 👍1
Moaz-Morsy commented

how can we test segmentaion model? @JialianW

JialianW commented

how can we test segmentaion model? @JialianW

See #24 (comment)