I’m using DLC to track the position of mice in a 3 animal behavior test, where I know the identity of each animal, and label accordingly
So far I’ve been mostly using the default parameters, to optimize later.
I have trained the network with 200 frames, and when I get to tracklet refinement, it happens very very often that the identities are switched, after the animals interact with each other. This is of course a problem, and it has taken me a long time to solve it in the tracklet refinement GUI.
I would like to know if / which parameters are more important for this issue, and that I should start by changing.
Thanks a lot!