1160914483

I modified the file as per https://gist.github.com/fepegar/1fb865494cb44ac043c3189ec415d411, but a new error occurred: ```python-traceback ValueError: Dimension 1 in both shapes must be equal, but are 25 and 26 for 'worker_0/UNet /residual_concat/concat'...

@YilinLiu97 Thank you for your reply, I hope I have the opportunity to learn from your profile parameters, can you publish your files? Thank you

@ChenxiCui97 Some methods were tried, such as replacing the loss function, increasing the number of iterations, changing the window value and the optimizer, but the effect was not obvious.Could you...

@ChenxiCui97 Thank you for your reply.The gray scale of the data I used was too large, and maybe that would affect the results.I preprocess the data and hope it will...

Hello, have you solved the problem?

> 嗨，我不确定你遇到了什么问题。你能提供更多信息吗？ hello I would like to ask how you choose the size of data_shape and label_shape during the training and test? Is there any basis for that?

> @ 1160914483，这些是超参数。我尝试了不同的配置并找到了最佳值。 Hello,senior fellow apprentice Is the size of data_shape a patch size that is randomly cropped from 240*240*155? Or, to resize the size of 240*240*155 to the value...

> 嗨，配置文件中的data_shape是随机裁剪补丁的大小。 Thank you for your reply Can you answer two more questions? 1. How is the number of patch specified, and what is the initial specified value? 2. Why...

> 嗨， > 在训练期间，我从训练集中随机选择N个卷，然后从每个卷中随机裁剪一个补丁。在测试期间，贴片尺寸只是为了提高效率。 Thank you for your reply. I have a question.When I was testing, I printed out the shape that was actually running in the network.Then I find...

I used the original configuration file and the corresponding parameters, but the score on the verification set was (0.75315 0.90392 0.80955). I'd like to ask the same question.