Comments (5)
非常感谢您的回答,我目前已经解决以上问题,还在想办法将您的方法融合到我们专业中,如果后续有什么问题,我会继续请教您的。再次十分感谢您的文章!
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Hi Quan, thanks for your interest in our work! This error simply means the corresponding config file: 'sr_sr3_16_128.json' cannot be found under the folder: 'config/'. Can you double-check to make sure the file does exist and there is not any typo in the file name? Feel free to leave further questions here :) Thanks!
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My programming language skills are relatively poor, I hope this problem is not too foolish.
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Hi Quan, thanks for your interest in our work! This error simply means the corresponding config file: 'sr_sr3_16_128.json' cannot be found under the folder: 'config/'. Can you double-check to make sure the file does exist and there is not any typo in the file name? Feel free to leave further questions here :) Thanks!
1.代码是在Linux系统下运行的吗?我在windos系统下会报错,如下:
(DDM2) PS D:\DDM2> /bin/sh D:/DDM2/run_stage1.sh
/bin/sh : 无法将“/bin/sh”项识别为 cmdlet、函数、脚本文件或可运行程序的名称。请检查名称的拼写,如果包括路径,请确保路径正确,然后再试一次。
所在位置 行:1 字符: 1
- /bin/sh D:/DDM2/run_stage1.sh
-
+ CategoryInfo : ObjectNotFound: (/bin/sh:String) [], CommandNotFoundException + FullyQualifiedErrorId : CommandNotFoundException
是不是可以修改/bin/sh指令为windos对应的就可以运行?(实在不好意思代码基础比较差)
2.我想问一下您,原始数据的训练集图片大概是多少张呢?
谢谢!
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- 是的,我们的代码是在linux环境下开发/测试的,我们推荐您也使用linux机器(e.g. Ubuntu)或者windows虚拟机(e.g. WSL)来运行并拓展我们的代码。
这个问题确实是因为您对应的windows系统里找不到/bash/sh来执行shell脚本,换成对应指令即可。 - 我们每个模型都是在一个单独的4D volume上进行训练。e.g. 对于hardi_150数据,其大小为[106, 81, 76, 150], 其中“2D图像”大小为106 x 81,“共有”76 x 150张。由于算法特殊性,我们要求对于[106, 81, 76]这个3D volume, 其有150种对于同一个volume的不同描述,而并非150个毫无关系的图片。当然,150个不同描述也并非强制要求,我们实验中尝试过用只有6种不同描述的数据集,我们的算法依然有效 :)
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Related Issues (20)
- Training and other questions HOT 1
- Environment-Cuda-Version HOT 2
- train_diffusion_model HOT 1
- 2d-image HOT 4
- Inference Error when denoising all volumes HOT 7
- AttributeError: Can't pickle local object 'MRIDataset.__init__.<locals>.<lambda>' HOT 5
- Experimenting on DCE-MRI simulated phantom with added noise HOT 1
- Need for Stage 1 Model in Stage 3 training HOT 1
- Clarifications on dimensions HOT 7
- Environment conflicts with GPU HOT 3
- Configurations for executing code with the PPMI dataset HOT 2
- Evaluation HOT 5
- Question regarding dataset HOT 2
- Question about the second stage HOT 1
- Question about training data valid_mask[10,160]
- Stage3 Freeze HOT 22
- Dataroot for train and Val HOT 9
- Evaluation Metrics HOT 16
- Inference HOT 16
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