The loss functions were definitely a bit tricky to get around. But that was a really cool video tho! One thing you could've also touched upon is the usage of deformable detr in place of detr. I can see the trackformer code does incorporate it but wanted to know what changes in trackformer when you switch from detr to deformable one?
Hi,I am currently reading this paper, and I don't know where do the sigma_NMS and the other sigma threshold come from since the output according to this paper is just bounding box and classification result. Where do we get those sigma value from the output of TrackFormer ? Or the sigma value is the front 3 value of the classification score vector ?
This is pure gold! Huge! Thanks for share. invaluable to a project I am working on
The loss functions were definitely a bit tricky to get around. But that was a really cool video tho!
One thing you could've also touched upon is the usage of deformable detr in place of detr. I can see the trackformer code does incorporate it but wanted to know what changes in trackformer when you switch from detr to deformable one?
the index and the sigma discussion at 19:00at minimum cost mapping is confusing to me, I'll have to rewatch it later
Yes it took me some time to understand that as well to be honest. If you have any specific questions, ask them. I’ll be glad to clarify.
Hi,I am currently reading this paper, and I don't know where do the sigma_NMS and the other sigma threshold come from since the output according to this paper is just bounding box and classification result.
Where do we get those sigma value from the output of TrackFormer ?
Or the sigma value is the front 3 value of the classification score vector ?