Comments (7)
jaydapao
commented on August 12, 2024
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Fafa-DL
commented on August 12, 2024
正常的~
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jaydapao
commented on August 12, 2024
好的，谢谢
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Fafa-DL
commented on August 12, 2024
你这个学习率和batchsize再调调，用了预训练模型不该这么低
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jaydapao
commented on August 12, 2024
好的，暂停训练是按什么键，可以暂停修改吗
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Fafa-DL
commented on August 12, 2024
肯定不可以暂停修改啊，配置文件在初始化的时候就读入了
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jaydapao
commented on August 12, 2024
好的，OK
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Related Issues (20)
- 权重大小不匹配 HOT 2
- evaluation 进行模型评估时，数据集从何而来 HOT 1
- 该程序想要在pycharm中运行该怎么使用 HOT 1
- 如果用mvit，t2t_vit，visiontransformer三个算法分别得到三个模型，如何用adaboost将他们集成呢，这是可行的吗
- 调用evaluation脚本时每次准确率结果会有细微的差别 HOT 9
- mobileNet演示就报错TT，请问这个问题怎么解决啊？
- mobileNet演示项目问题？ HOT 1
- 主要组成部分 HOT 1
- t2t_vit_19模型主要包含哪些部分 HOT 1
- 如何提升训练效果？ HOT 1
- 有想过加一个后台来简化训模型的难度吗 HOT 1
- ONNX
- 测试集精度过高
- 请问这个报错：AttributeError: 'EfficientFormerClsHead' object has no attribute 'post_process'，没有post_process()方法？ HOT 6
- 怎么导出.wts HOT 1
- 1
- 怎么改变批量预测的结果字体的大小 HOT 7
- 为什么训练时，精确度能有90%多，但模型评估时，预测结果准确率很低，甚至有时会出现预测结果全为一类（我预测的是二分类） HOT 1
- 后续会加入一些新的模型吗比如squeezenet、xception
- 加入新的主干运行后出现Initialize the weights. Traceback (most recent call last): File "tools/train.py", line 171, in <module> main() File "tools/train.py", line 136, in main max_iters = data_cfg.get('train').get('epoches')*len(train_loader), TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'的问题怎么解决 HOT 1
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