Comments (1)
在制作数据集的时候有训练集和测试集,训练时测试集不参与更新,评估与测试集是相同的
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Related Issues (20)
- 权重大小不匹配 HOT 2
- 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 HOT 1
- 有没有考虑过把自监督的模型也加进来?比如经典的对比学习等。
- 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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