Comments (8)
需要做人脸的alignment,crop然后作为输入进行训练。
softmax要调整参数训练,如果不收敛,建议你finetune。
还有看看你的test准确率吧。
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我已经微调很多次了,测试精度为0,可能原因是我没有alignment,我将先将图片进行处理一下,谢谢你的建议! thank you so much ! @pinguo-luhaofang
from tripletloss.
再来感谢一下你 @pinguo-luhaofang !第一次学卷积神经网络,第一次跑人脸识别程序,终于搞出来了,测试多张图片,结果杠杠的好。虽然我还没有加tripletloss,但是这个softmax已经很强大了!继续学习!谢谢啦!
from tripletloss.
@zhangfudiyi ,你好,我遇到了你最开始说的,loss在3-8之间徘徊的情况,请问你是怎么解决的?
from tripletloss.
我就是微调了他给的数据模型,也就是他说的finetune。你要知道怎么去复制他训练好的参数,他有给我们下载地址,你下载就好了,在model里面。 @dianxin556
from tripletloss.
要改他里面的哪些参数?我把里面的lr_mult和decay_mult都设置成1,就出现了上面你说的那种情况。 @zhangfudiyi
from tripletloss.
你不会不知道怎么finetune吧!不要全部改,看你想微调那一层,你全改了那相当于你全部随机了参数,我只训练了最后全连接层,你先看看怎么finetune,你知道这个了,你肯定就知道怎么改了。我也不知道我说的对不对,个人理解而已。 @dianxin556
from tripletloss.
好的,谢谢! @zhangfudiyi
from tripletloss.
Related Issues (20)
- the module name is right,but it still failed with boost::python::error_already_set
- 训练到后面 loss都变为0.1 an,ap变为0 HOT 6
- training problem HOT 5
- training problem
- Hard Sample
- the triplet loss architecture is unsupervised, is this correct?
- tipletselectlayer - computing the distance against the anchor image HOT 2
- shuffle
- fc9_1 weights is increase with the train iterations from 0.0x to 40.x HOT 1
- Training your code on custom dataset HOT 1
- how to train it on 2 gpus
- Use of the margin HOT 2
- Negative mining in TripletSelectLayer HOT 1
- what does no_residual_list for?
- 数据集组织需要什么特别处理么? HOT 1
- online triplet sample selection usage?
- 您好,我想用自己的数据集跑这个网络,除了修改config路径,还需要修改哪里? HOT 2
- Online triplet generation HOT 1
- 工作推荐
- ap,an都变得特别大
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