cascade-rcnn
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rpn foreground accuracy is always 0
i trained the alex-9s-600-rpn-base without finetune,here is the snapshort result
but the rpn foreground accuracy is always 0, is it alright?
It seems not right. Try finetuning first, and compare the difference. I don't think training-from-scratch works if you don't make any change, e.g. hyper-parameters.
Thank you for your reply. I have solved the problem.
Hi!The IOU always equals -1 when i use this "res101-9s-600-rfcn-cascade" to train my data ,can you tell me the reason!? And how to get the value of anchors? The loss ( floating up and down at 0.5)won‘t drop no mater how i try? Those problems are really killing me now, I cann't figure it out, can you help me?