Comments (4)
WuJie1010
commented on May 16, 2024
一般都是保存最佳模型来计算准确率。
from facial-expression-recognition.pytorch.
ZoieMo
commented on May 16, 2024
这个可以理解。不过数据集划分不是严格subject-independent的，因为每个人的表情图片的数量不一样，所以会有一两折里面训练集和测试集出现相同的人，请问有没有什么方法能够严格划分呢？
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WuJie1010
commented on May 16, 2024
可能需要手动调整下这个小问题。
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ZoieMo
commented on May 16, 2024
调整起来比较复杂.....但是直接对118个人进行十折划分，即轮流取106个人的表情图片作为训练集，剩下12个人的表情图片作为测试集，又可能会出现每一折的训练数据和测试数据数量相差比较多的情况....
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Related Issues (20)
- 请问预训练模型是您已经针对数据集训练过的么? HOT 3
- about image size
- os.popen HOT 1
- The code doesn't include validate function, is it? HOT 2
- 关于输入
- 运行无效果
- > > > 我也是这个问题，有什么办法不回退到python2.7来解决这个问题么 HOT 2
- 关于CK+数据集的识别率问题 HOT 1
- 有resnet的预训练模型吗？ HOT 2
- 'str' object is not callable
- How to use in Rasberry pi 3 B+ HOT 1
- A problem about k_fold_number HOT 3
- Average accuracy on ck+ dataset
- 混淆矩阵的运行 HOT 1
- ValueError: cannot reshape array of size 0 into shape (28709,48,48) HOT 1
- An error about stty HOT 3
- AttributeError: module 'utils' has no attribute 'clip_gradient' HOT 11
- About build model
- 2024-1-10，用当前的维护版本已经实现
- 萌新提问 HOT 1
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