Comments (6)
ideask
commented on August 16, 2024
加了多GPU训练，改了一下模型结构，retrain了一下
from a-practical-facial-landmark-detector.
xuguozhi
commented on August 16, 2024
改了一下模型结构
针对速度优化还是精度呢？提升了哪些？
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ideask
commented on August 16, 2024
你可以看看论文，原论文用的是dw conv，没做专业上的对比，不知道性能和速度有什么提升，只是想尽量还原论文的结构试一下。您可以做个对比？
from a-practical-facial-landmark-detector.
xuguozhi
commented on August 16, 2024
你可以看看论文，原论文用的是dw conv，没做专业上的对比，不知道性能和速度有什么提升，只是想尽量还原论文的结构试一下。您可以做个对比？
好的，我试下比较，稍后把结果放上来
from a-practical-facial-landmark-detector.
xuguozhi
commented on August 16, 2024
WFLW test results：
PFLD-pytorch：
2.8 ms
NME 0.246 ION 3.99
this repo：
2.8ms
NME 0.420 ION 7.213
模型都是pretrained的，是训练不充分的原因吗。速度差不多
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ideask
commented on August 16, 2024
感觉dw conv会丢失一些精度，也有可能是我训练不充分，你试下自己跑一下？
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