Comments (3)
foralliance
commented on May 23, 2024
为了验证文件是否配置正确，我就只训练了10000次．
最终的效果很差，基本检测不到物体．不知道哪里的参数设置的不对．comp4_xxx.txt中全为空
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leepp15
commented on May 23, 2024
请问下对于每个需要修改的层，有什么简便方法可以批量快速修改吗？比如“对于所有conv layers ，添加1次{ lr_mult: 1 decay_mult: 1}”。苦恼两天了～
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CrzayJay
commented on May 23, 2024
请问DenseNet和Faster R-CNN的结合，最后效果怎么样，收敛了吗
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Related Issues (20)
- Is there anyone successed? My caffe version is not support！ HOT 1
- how to use your deploy.prototoxt to 2 classification HOT 3
- Do you have Network definition in Python? HOT 1
- Where can I get the train_val.prototxt ? HOT 2
- about some details HOT 2
- The shapes in netscope are wrong? HOT 1
- About some computing problem HOT 1
- Scope name problem when conventing from LiuZhuang13's code HOT 3
- { lr_mult: 1 decay_mult: 1}的含义 HOT 16
- Not achieving your reported performance! HOT 3
- when i train my own dataset,the loss is not decrease and it is always about 6.97 HOT 1
- cuDNN does not allow an eps value less than 1e-5
- Hello, I was using caffe once, using a custom version of Microsoft, I do not know how to solve this problem, I hope you can help me.
- Question about scale=0.017 HOT 1
- problems about the data preprocessing HOT 2
- Fine-tune Dense 201 problem
- 关于densenet训练阶段BN层的设置 HOT 1
- 能不能提供提供训练代码以及测试代码
- DenseNet161 deploy prototxt (ceil_mode and round_mode) error HOT 9
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