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3DUNet implemented with pytorch

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Hi lee-zp Thanks for sharing your code.When I was training my own data, I had the following problem.My data is the data of MRI rectum, and I want to see...

TypeError: __init__() takes from 4 to 5 positional arguments but 6 were given,and I run the dataset_lits2.py also show the error.Thanks

test.py里面变量名字有问题,predict_one_img()返回的不应该包括"test_dice",对照train.py修改。否则会AttributeError: 'collections.OrderedDict' object has no attribute 'avg'

用自己的数据集train dice一直在0.02左右徘徊是为什么?

![4219d3454a33e3d8670b9c5962935a49](https://github.com/lee-zq/3DUNet-Pytorch/assets/131449535/c672128f-1cb7-48e4-9787-59c0d3e3e784) ![d7ed6caf4221afffec5cf90fbb07ef42_720](https://github.com/lee-zq/3DUNet-Pytorch/assets/131449535/fb7788b6-2402-4b3b-9618-a9c032a50f07) 这个代码我跑了四次,最后发现是自己对题主的意思理解错误导致,然后我花了几天时间逐行阅读代码,希望我的遭遇能够帮助到各位:` ①不要预处理‘测试集(test)’!!!不要预处理‘测试集(test)’!!!不要预处理‘测试集(test)’!!!重要的事情说三遍,只需要预处理训练集(train),dataset_lits_test.py会对测试(test)集图像进行处理。 ②前面前辈说到的ResUNet.py里135-161行的map里的upsample里的scale参数后两位减半。 ③把test.py第25行的注释给取消注释,该行的作用看注释的注释,做完后便!!!不!!!需要像前辈之前说的运行test.py时把②里说到的减半参数->进行恢复。 ------------------------------------------------------------------------------------------------------------------------------------------------- I ran this code four times and finally realized that it was due to my incorrect understanding of the author's meaning. I spent...

尊敬的作者您好,我想问一下,当我复现您的代码一直到训练的时候,我发现我的终端虽然会显示训练的进度条和epoch,但是过了一段时间后仅仅是显示但是并没有任何进展,这个是因为该模型训练一次epoch需要很长时间呢还是哪里出了问题?期待您的回复