Comments (4)
Fafa-DL
commented on May 20, 2024
哇还好你提醒我了，配置文件忘上传了；
因为每个网络发行时均通过调整channel nums或input size等控制模型尺寸，就像yolo那样有不同版本如tiny，所以你通过配置文件可以区分vit不同版本参数异同
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Fafa-DL
commented on May 20, 2024
配置文件已更新
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qjyyyy
commented on May 20, 2024
好的收到！
btw，提一个小小的建议，输出的log文件夹中可以包含一下使用的参数配置文件(｡･ω･｡)ﾉ
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Fafa-DL
commented on May 20, 2024
谢谢建议，已更新参数配置文件的保存，此外还新增类别激活图可视化
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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 2
- 加载权重文件失败 HOT 1
- 训练时数据数目与数据集的数目不匹配 HOT 1
- upup，为啥只有训练loss和验证acc HOT 4
- 数据集问题 HOT 1
- 能否批量输出类激活图 HOT 2
- 是否支持训练视频分类？
- 怎么用训练好的模型批量预测呀 HOT 4
- 作者您好，请教关于mobilenetv3 small的输出维度问题 HOT 1
- Loss损失函数问题 HOT 1
- opencv_python、opencv_contrib_python、opencv-python-headless 的版本用的多少啊，总是说我的版本不匹配 HOT 1
- 1.电脑有两个GPU 0和1，如何改代码使它使用GPU1呀。2.CUDA out of memory这个问题是因为什么呀 HOT 1
- 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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