Question about anchor_t

[tomatowithpotato]

❔Question

I found that you use anchor_t to match anchor and gbox，default is 4.0
If I need to train my own dataset, is it necessary to modify anchor_t?
# Matches r = t[:, :, 4:6] / anchors[:, None] # wh ratio j = torch.max(r, 1. / r).max(2)[0] < self.hyp['anchor_t'] # compare # j = wh_iou(anchors, t[:, 4:6]) > model.hyp['iou_t'] # iou(3,n)=wh_iou(anchors(3,2), gwh(n,2)) t = t[j] # filter
At the same time I want to know how to get this value?

Additional context

[github-actions]

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[glenn-jocher]

@tomatowithpotato no modifications are required for training custom data. You can always modify hyperparameters manually if you'd like to experiment, or alternatively if you have time and hardware you can use hyperparameter evolution. See Hyperparameter Evolution Tutorial:

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[github-actions]

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