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关于精度和训练问题 #13

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sxhxliang opened this issue Mar 4, 2020 · 4 comments
Open

关于精度和训练问题 #13

sxhxliang opened this issue Mar 4, 2020 · 4 comments

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@sxhxliang
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readme 里的37的精度是 2x 的训练结果？还有4 GPU 的精度是多少，我看跑了官方的源码resnet50 4GPU训练1x 有38+的精度
@xytpai
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xytpai commented Mar 9, 2020

这个代码目前没有在1x达到37的精度（包括之前按照论文配置的复现），可能是resize问题或者忽略了一些trick。

@xytpai
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xytpai commented Mar 9, 2020

4GPU应该差不多，因为BN是冻结的，梯度累加应该不影响结果

@kohillyang
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kohillyang commented Sep 10, 2020 •
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Is it because of SyncBatchNorm? Commonly SyncBatchNorm can give about 1mAP improvements.

@xytpai
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xytpai commented Sep 10, 2020

I've nealy reached paper accureacy at 1x. Please see https://github.com/xytpai/DetX-FCOS

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@kohillyang @sxhxliang @xytpai