Aristot1e
Aristot1e
> Can you tell me your personal email address? I will send you the mask > through email. > > Amit Sharma ***@***.***> 于2021年7月7日周三 下午4:51写道： > > > Also, where...
> Please find the mask through https://github.com/chunmeifeng/T2Net > > Aristot1e ***@***.***> 于2021年11月7日周日 上午10:13写道： > > > Can you tell me your personal email address? I will send you the mask...
> 作者你好，为什么我用你推荐的pytorch_lightning版本，还出现这个错误 请问一下，这个问题你现在有解决吗？ 我也遇见了同样的问题。谢谢
> > 作者你好，为什么我用你推荐的pytorch_lightning版本，还出现这个错误 > > > > 请问你是怎么预处理数据的 > > 请问一下，您的数据是怎么处理的？ IXI数据集的.nii文件需要转为h5文件吗？ 还有训练和验证的mat文件是什么呢？谢谢
> same problem, we have no csv file ,I wonder if author can provide this file? Hi friend, have you solved this problem or reproduced this code? We can talk...
> Please set args.loss_normalized = True and try again, and I will solve this issue, Thanks! Namespace(accelerations=[10, 15], batch_size=1, checkpoint=None, circular_pad=True, data_parallel=False, data_path='/home/img/Desktop/lff/Dataset/pre-processed/multicoil', device='cuda', device_num='0', drop_prob=0.0, efficient_ufloss=False, exp_dir='/home/img/Desktop/lff/Dataset/summary/train-3D_MELD_4steps_MoDLflag0_shared_CGsteps_6date_20210929_ufloss0_ufloss_weight_10_dimension_256_debug', fix_step_size=True, ge_mask=None,...
> I see, how did you train the UFLoss? the error is not about the normalization. It's about the checkpoint loading, how many patches did you use to train the...
> I see, how did you train the UFLoss? the error is not about the normalization. It's about the checkpoint loading, how many patches did you use to train the...
**I've got some new problem. After Successfully loaded UFLoss model (Traditional), the error appeared .** Traceback (most recent call last): File "/home/img/anaconda3/lib/python3.8/site-packages/sigpy/linop.py", line 95, in apply output = self._apply(input) File...
File "/home/img/anaconda3/lib/python3.8/site-packages/sigpy/linop.py", line 1330, in _apply return block.array_to_blocks(input, self.blk_shape, File "/home/img/anaconda3/lib/python3.8/site-packages/sigpy/block.py", line 103, in array_to_blocks raise ValueError('Only support ndim=1, 2, or 3, got {}'.format(ndim)) ValueError: Only support ndim=1, 2, or...