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您好,想请教一下对于尺度不变性学习部分 1、原尺寸图用P3-P7,缩小一半的用P2-P6,请问推理预测eval的时候用哪一部分呢? 2、好像一般的ResNet50-FasterRCNN-FPN架构中P2—P5对应(C2-C5),P6P7是在P5上延伸出来的,请问PseCo中是这样吗,配置文件中的add_extra_convs='on_input'是这样的意思吗?
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eval用的教师模型,即p3-p7 p6.p7是在p5上延申出来的,具体的可以看mmdetection/models/necks/fpn的代码
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您好,想请教一下对于尺度不变性学习部分
1、原尺寸图用P3-P7,缩小一半的用P2-P6,请问推理预测eval的时候用哪一部分呢?
2、好像一般的ResNet50-FasterRCNN-FPN架构中P2—P5对应(C2-C5),P6P7是在P5上延伸出来的,请问PseCo中是这样吗,配置文件中的add_extra_convs='on_input'是这样的意思吗?
The text was updated successfully, but these errors were encountered: