a litte problem in fpn code

[foocker]

in line 45: p3 = F.interpolate(p4, size=[p4.size(2), p4.size(3)]) + p4
should change to: p4 = F.interpolate(p5, size=[p4.size(2), p4.size(3)]) + p4

[foocker]

there is no Context Module, so has no DCN operator in your RetinaFace Module.
i have a problem: when training, all prediction bbox and landmark was catted in one dim, how to get the scale level of them for loss function's forward. thx.

[YongtaoGE]

1. yes, you are right!
2. I just couldn't understand your second question.

[foocker]

maybe something that i am not understand well, i mean like the two-stage, all predicted anchors should be get its own level from the FPN after gathered them together, only this we can write the loss function for backward. it seems Retina + FPN have no such worry. yongtaoge <notifications@github.com> 于2019年8月18日周日 下午7:12写道：

…

1. yes, you are right! 2. I just couldn't understand your second question. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#4>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AFHSUMNDIH4R76OUJDYKKDDQFEVBFANCNFSM4IMRIAWQ> .