Issues
- 2
导入包报错,文件夹重名导致的坑
#140 opened by nlwify - 0
About the solution of problems like "have 3 channels, but got 1000 channels instead"
#149 opened by playpopi - 3
当我在运行TransUNet-main的train.py时出现错误:KeyError: 'Transformer/encoderblock_0/Multi5HeadDotProductAttention_1/query/kernel is not a file in the archive' 这是在我进行KeyError: 'Transformer/encoderblock_0/MultiHeadDotProductAttention_1/query\\kernel is not a file in the archive'后的更改出现的错误,csdn说这是os.path.join 合并路径的时候出现的问题,更改后仍然出现以上错误
#134 opened by nishiwodebaby - 0
ACDC dataset
#148 opened by chenzhang9476 - 0
- 5
Synapse Multi-Organ Segmentation Visualisation
#129 opened by NJNUCS - 0
Training performance issues on small-sized targets
#146 opened by ZYH23333 - 0
PreActBottleneck
#145 opened by Juice808999 - 0
change patch_size during test
#144 opened by mpapadomanolaki - 6
the mean dice is not good in acdc dataset
#128 opened by Wbbbjikj - 1
- 0
Is the Synapse multi-organ segmentation dataset experimental result obtained from is the 20 samples official test set?
#143 opened by guoyh6 - 3
"ZeroDivisionError: integer division or modulo by zero" when vit_patches_size=8
#132 opened by alqurri77 - 1
Training with different image size
#142 opened by alqurri77 - 2
Data preprocessing
#141 opened by congcongWY - 3
Request for preprocessed dataset
#123 opened by mUgradn - 0
Training for three-channel dataset
#138 opened by fabihabushra - 2
Request for the Preprocessed Data
#113 opened by jkraaaa - 0
ACDC dataset 100 cases of data
#137 opened by Wbbbjikj - 0
asking for you help
#136 opened by congcongWY - 0
- 2
The mean dice is very low after testing
#115 opened by wanrat40 - 0
Need R50+ViT-B_16 rather than R50-ViT-B_16!
#133 opened by yichen-sanofi - 4
想问一下各位大佬,为什么我用这个框架在Synapse数据上UNet的dice能跑到80多?
#110 opened by wdayang - 0
Reason for [-125, 275] input clipping
#131 opened by SumayyaInayat - 0
Different input size (width x height)
#130 opened by duraes-antonio - 0
Is this input data a 2D CT cross-sectional image or a complete 3D CT image?
#127 opened by SiruLiu645 - 1
What is Expected Input and output channel ?
#121 opened by ankit-rl4 - 2
about acdc_dataset
#117 opened by Yss83 - 1
about dataset
#126 opened by fanyigao - 1
There is no complete TransUNet codes here?
#125 opened by 675492062 - 0
- 0
Can someone please help me with this error : Traceback (most recent call last): File "/content/drive/MyDrive/project_TransUNet/TransUNet/train.py", line 92, in <module> net.load_from(weights=np.load(config_vit.pretrained_path)) File "/content/drive/MyDrive/project_TransUNet/TransUNet/networks/vit_seg_modeling.py", line 429, in load_from unit.load_from(weights, n_block=uname) File "/content/drive/MyDrive/project_TransUNet/TransUNet/networks/vit_seg_modeling.py", line 206, in load_from self.attn.query.bias.copy_(query_bias) RuntimeError: The size of tensor a (768) must match the size of tensor b (589824) at non-singleton dimension 0
#122 opened by kushiluv - 0
Model checkpoint
#120 opened by TaWald - 0
About the test set
#119 opened by code-aifarmer - 0
- 0
Hello! Cound you please send the preprocessed data set that can run the code to my mailbox? Thank you! hyunwoo137@naver.com
#116 opened by navendano11 - 0
Focal-Unet --> low complexity, easy to use unet implementation for small dataset domains
#114 opened by mohammadrezanaderi4 - 0
Request for the Preprocessed Synapse Data
#112 opened by mltraore - 2
How to find the best model during training?
#99 opened by KunChenUSTC - 0
Request for the Preprocessed Data
#111 opened by tommasogattari - 0
About pre-training
#108 opened by ovenstark - 0
Hi!. When I am training the model, the cross entropy is not calculated. After that line of code, it produces cuda runtime error: device triggered. Does anyone know what is the reason for that ?
#107 opened by Kaushalya98 - 1
- 0
How to load pre-trained ViT models? I can't load it.
#105 opened by hmisme - 0
no issues
#104 opened by hhhenry-huan - 0
Prepare the training Synapse
#103 opened by labbihi - 0
about test.py
#102 opened by PatrickWilliams44 - 0
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 32 but got size 128 for tensor number 1 in the list.
#101 opened by dmg-ai - 1