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36 Open 12 Closed
36 Open 12 Closed
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Issues list

您好，我发现您的网络最后一层没有使用sigmoid，但是在计算accuracy的时候却使用了sigmoid，请问这是为什么？
#58 opened Nov 17, 2024 by CharileBrown
请问下训练的时候没有报错，但是只执行一个epoch就停了，是数据集不够吗还是什么原因呢？
#56 opened Jul 23, 2024 by Hongtauo
我注意到你所使用的loss不是传统的三元组loss，所以使用这样的loss的好处在什么地方呢？
#55 opened Mar 19, 2024 by ML-learning-git
预测速度有些慢
#54 opened Mar 7, 2024 by lawliet1777
ModuleNotFoundError: No module named 'torchvision.models.utils'
#53 opened Dec 24, 2023 by valucn
1
为什么训练后的trainloss始终比valloss大，trainacc始终比valacc小，没有改过代码
#52 opened Dec 19, 2023 by jjjjjjj672
loss稳定在0.693左右，acc在0.5左右波动
#51 opened Dec 18, 2023 by jindameias
1
loss问题
#50 opened Dec 15, 2023 by jjjjjjj672
为什么我训练自己的数据集的时候显示在siamese.py的第30行运行不过去？
#49 opened Dec 11, 2023 by EhanDong
发现有张图片是二值化后的黑白图片 效果很不好，不清楚为什么
#48 opened Nov 2, 2023 by sunxhap
咨询下，训练过程什么时候可以结束 或者说代码里面怎么设置让他自动结束
#47 opened Nov 1, 2023 by sunxhap
冻结和解冻是那一部分代码？
#46 opened Oct 23, 2023 by yltqy
up这个新仓库的代码是不是没有freeze和unfreeze两个训练过程啊
#45 opened Oct 13, 2023 by yltqy
训练Omniglot数据集时出现这个报错，ValueError: not enough values to unpack (expected 2, got 1)
#43 opened Aug 4, 2023 by loongscale
6
3060ti训练，为啥1.7it/s左右的速度，这个速度正常吗?
#42 opened Aug 3, 2023 by LmingXie
3
RuntimeWarning: Iterating over a tensor might cause the trace to be incorrect.
#41 opened Aug 2, 2023 by TaoF02
1
utils_aug这个文件是什么作用呢？
#40 opened Jul 27, 2023 by DylTop
1
如何比较相似度
#36 opened Jun 20, 2023 by HarrisonWells
1
运行自己的数据集时,报错PIL.UnidentifiedImageError: cannot identify image file 'datasets/block\\images_background\\character02\\Thumbs.db'
#33 opened May 15, 2023 by CTian-BUG
5
相似性总是1.000
#32 opened Apr 27, 2023 by wyf0422
1
怎么对训练出来的模型转onnx，然后简化！！最主要还是简化，原模型转onnx在cpu耗时太长，需要简化。不知道怎么简化，用torch的简化会报错
#31 opened Apr 5, 2023 by WFWFDSF24
9
怎么将VGG网络修改为resnet50来做特征提取？
#29 opened Mar 25, 2023 by fighter-lee
5
如果我的样本 一个分类只有两张图片应该怎么操作
#28 opened Mar 9, 2023 by sunxhap
1
为什么Cuda 设置True, 电脑CPU 使用100%， 没使用GPU 训练
#27 opened Feb 27, 2023 by sunxhap
1
样本图片大小不固定，input_shape应该怎么设置
#26 opened Feb 27, 2023 by sunxhap
1
ProTip! Adding no:label will show everything without a label.