Comments (9)
Leon-0919
commented on May 24, 2024
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bubbliiiing
commented on May 24, 2024
数据集格式错了？
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Leon-0919
commented on May 24, 2024
@bubbliiiing 应该不是的 我先用的mobilev2 miou 80% 然后换了这个 基本40%不变 很奇怪哈哈
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bubbliiiing
commented on May 24, 2024
训练参数看一下，train.py
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Leon-0919
commented on May 24, 2024
我后来发现30个epoch以后慢慢训练了 然后miou比mobile差10% 好像不太合理
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bubbliiiing
commented on May 24, 2024
噢噢，正常的，xception网络太大，一下子就炸了，你数据比较简单的话mobilenet更好
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Leon-0919
commented on May 24, 2024
但是前面20个epoch基本不变是怎么说哈哈 :)
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bubbliiiing
commented on May 24, 2024
解冻了吧。
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liuq0123
commented on May 24, 2024
请问你是怎么解决的我也遇到这个问题了！@Leon-0919
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Related Issues (20)
- 感谢up HOT 1
- miou不变化 HOT 5
- 作者您好，我想咨询您一下为什么num_classes需要在分类个数上+1，请问是和dataset有关吗，还是网络结构或者损失函数的计算？ HOT 2
- predict输出onnx失败 HOT 1
- 单机多卡分布训练 HOT 3
- loss从train一开始就显示=nan HOT 2
- 每一个epoch的训练时间太长了
- 请问这报错是什么原因
- 训练时间过长
- Focal Loss 代码
- 代码跑出来的miou比论文中写的miou低很多，有什么解决方法吗？
- voc2012数据集怎么训练
- 你好，请问我用的是pytorch进行训练，为什么会报错缺少tensorboard
- 请问如果训练到epoch=59的时候中断了，在程序哪里修改可以继续从59训练呀？ HOT 2
- mobileNetV2和Xception哪个效果好
- ascii”编解码器无法对0-3位置的字符进行编码
- miou一直下降，f_score一直上升 HOT 3
- 大佬，我在使用 get_miou时，cpu只有单核在跑，是不是可以优化一下，让所有核心都参与进来啊 HOT 1
- 为什么我只加载预训练backbone训练100个epoch，miou只有65？ HOT 1
- imgs, pngs, labels = batch HOT 2
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