Comments (7)
Syencil
commented on May 16, 2024
yolov5提供的预训练权重backbone+head都是在coco上训练好的，你只需要finetune最后一层而已。我这个换了mobilenet之后，backbone仅仅只是在imagenet上做的pretrain，head则是初始化，相当于从头训练。你可以尝试不加载yolov5预训练权重试试
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TongShuo-Demon
commented on May 16, 2024
yolov5提供的预训练权重backbone+head都是在coco上训练好的，你只需要finetune最后一层而已。我这个换了mobilenet之后，backbone仅仅只是在imagenet上做的pretrain，head则是初始化，相当于从头训练。你可以尝试不加载yolov5预训练权重试试
非常感谢您,但是现在我发现新的问题,那就是我的P、R、map等数据低了很多
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Syencil
commented on May 16, 2024
这种很正常 可以分别从数据量和capacity这两个方面入手提升
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TongShuo-Demon
commented on May 16, 2024
这种很正常 可以分别从数据量和capacity这两个方面入手提升
再次感谢您！我换成coco数据集确实效果明显不一样了。再次麻烦你，请问剪枝使用的方法是network slimming这篇论文的方法吗
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Syencil
commented on May 16, 2024
https://arxiv.org/pdf/1708.06519.pdf
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TongShuo-Demon
commented on May 16, 2024
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TongShuo-Demon
commented on May 16, 2024
非常感谢
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Related Issues (20)
- 稀疏训练时遇到一些问题 HOT 1
- 模型剪枝之后，参数减少很多，但是模型推理速度并没有明显区别
- AttributeError: Can't get attribute 'ModelPruned' on <module 'models.yolo' from 'models\\yolo.py'>
- 大佬好，注意到 yolo head 和原版的有所不同，想问下具体做了哪些改变 HOT 4
- 关于TA策略与d_online HOT 1
- before_pruning.jpg和after_pruning.jpg
- 大佬好，ignore_idx 是不是写错了 HOT 1
- 作者你好，请问剪枝过程是参考的哪篇论文
- 请问如何配置apex进行混合多精度加速训练
- 蒸馏后Student Model的准确率下降 HOT 1
- 旋转框蒸馏 HOT 6
- 求助帖 HOT 3
- no fuse
- feature蒸馏的一些疑惑
- model文件夹中yaml文件
- 关于train后识别不到任何结果
- 蒸馏模块无法跑起来 HOT 2
- 蒸馏代码问题
- 'python3 train.py --type vocl' meet the error
- AttributeError: 'Model' object has no attribute 'names'
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