Comments (2)
改进改进
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改进改进
我发现了一个很大的问题,我原先数据集的生成是自己写的,生成局部的图片是可以把同一个人的所有关节点圈起来,最多外层再加10个像素点。
而这里的数据的生成却是把图片扩大到bbox的1.5倍左右,这就导致训练的时候模型确实能记住整个人在图片中点的大致关节点位置,但是无法预测到人物较近的情况。这样训练出来的模型的mAP值低的可怜只有0.003左右,甚至没能达到我原来的0.55。
这里关于数据集的这部分是怎么解决的,为什么训练结果如此截然不同?
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