Open YOOHYOJEONG opened 2 years ago
Hi, you can train the model in this way, which means load a pre-trained detector but freeze the parameters and only train the tracker.
But in our experiments, joint training would give a higher performance. Anyways you can try this experiment by yourself.
Thank you for your apply.
How to freeze the parametesrs? Where can I see the way? Can you check it in the qdtrack code? It's basic, but I'd appreciate it if you let me know.
Thank you.
Hi.
I trained the detector using mmcv. And, I want to use the detector checkpoint trained using mmcv for the detector of qdtrack without any additional detector learning. In this case, Can I train only tracker of qdtrack?
If I enter trained checkpoint using mmcv in init_cfg=dict(checkpoint='') in detecotr, is it the same as training only the tracker I mentioned?
Thank you.