Using other Object Detectors

[calvpang]

From what I understand, the model training is specifically to train an object detector with YOLOX and not training the tracker itself.
If I had a functioning YOLOv5 model, I'm assuming I could use torch.load() and run inference on each frame using that.
But I'm a bit lost on where I can do this with the current code.

[Xavier-Lin]

Thank you for your attention. We will release the inference version of YOLOV8.

[Mittag-tech]

Hi @Xavier-Lin , I have almost the same question.
Can I change to another detector by myself?

If the model training is to train a detector as @calvpang says, I think I can use it by setting config to a path of weghts created by training a detector separately.
Is this correct?

[Xavier-Lin]

Hi @Mittag-tech，actually, there's no problem with this. In general, you can achieve the goal of changing the detector for training by replacing the detector model in the model folder and modifying the corresponding detector settings in the xxx_config.py file.

[Mittag-tech]

Thank you for your response, @Xavier-Lin .
I would try it.

Just to confirm, is this correct that the parameters of tracking module by pseudo-depth are adjusted manually?

[Xavier-Lin]

@Mittag-tech Manually adjusting the number of layers for pseudo-depth is possible, if needed. In general, we do not adjust the number of layers for pseudo-depth, but we do adjust the matching threshold.

[Mittag-tech]

Thank you for your information, @Xavier-Lin !