DAG4MIA
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Domain Adaptation and Generalization for Medical Image Analysis
Hi, could you release the most important part sdnet.py?
sdnet没有
跪求大佬上传sdnet 如果不方便 麻烦私发[email protected]
报错内容: Traceback (most recent call last): File "/home/compare/train_3d_DAG4MIA.py", line 295, in seg_pred_t, high_r_t_tb = model(img_t, domain_label=1) File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 171, in...
During the training process, the consistency loss is getting bigger and bigger, and the other losses are getting smaller and smaller. Is it normal? Is it what we expect? ```...
could you share the code?
sdnet没有
from models.networks.sdnet import MEncoder, AEncoder, Segmentor, Ada_Decoder 这个无法导入,请问作者这个sdnet您能上传一下吗。谢谢!
没有 sdnet
你好,这个是缺少一个文件吧? “from models.networks.sdnet import MEncoder, AEncoder, Segmentor, Ada_Decoder ModuleNotFoundError: No module named 'models.networks.sdnet' ” train_cddsa.py
we find no ramps.py in utils, so i have question about how can get this part of ramps
raise IndexError('index {} is out of range'.format(idx)) IndexError: index 1 is out of range 出现问题的地方实在container.py中: def _get_abs_string_index(self, idx): """Get the absolute index for the list of modules""" idx = operator.index(idx)...
hello, First of all, thank you very much for opening up the source code, but I found a problem in your code line 64 code: up_4 = self.up4(conv4, center, domain_label)...