Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

After 30 epoches training corresponding to ‘’fold0_idx.npy',the val loss is still 0.8 more or less。 #11

Open
675492062 opened this issue Dec 13, 2020 · 4 comments

Comments

@675492062
Copy link

After 30 epoches training corresponding to ‘’fold0_idx.npy',the val loss is still 0.8 more or less. Is there any one facing the situation like me?

@zhenxing123
Copy link

经过30个与“fold0_idx.npy”相对应的纪元训练后,val损失仍然或多或少为0.8。有没有人像我一样面对这种情况?

你好,我想问一下,问什么在数据预处理的时候会报错?
Traceback (most recent call last):
File "E:/Pytorch Project/Brain-Tumor-Segmentation-master/prepare_data.py", line 164, in
cfg['crop_coord'], cfg['data_channels'], cfg['k_fold'])
File "E:/Pytorch Project/Brain-Tumor-Segmentation-master/prepare_data.py", line 119, in create_table
all_modalities, brain_affine, brain_name = read_brain(brain_dir, mode='train', **crop_coordinates)
File "E:/Pytorch Project/Brain-Tumor-Segmentation-master/prepare_data.py", line 46, in read_brain
modalities_dir = [flair[0], t1[0], t1ce[0], t2[0], gt[0]]
IndexError: list index out of range
Closing remaining open files:./data/data.hdf5...done
您可以帮忙解答一下吗?

@Xiuxiu21
Copy link

Xiuxiu21 commented Jun 6, 2022

解决了吗

@Coolwen1997
Copy link

I have occurred the same problem, the results of segmentation are terrible.

@Xiuxiu21
Copy link

Xiuxiu21 commented Mar 13, 2023 via email

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants