Comments (5)
@ @skyuuka Hello, did you successfully run the original code?
from fewshot_gan-unet3d.
@ @skyuuka Hello, did you successfully run the original code?
Yes. I tried newer version of TF > 1.7.0, and it works.
from fewshot_gan-unet3d.
from fewshot_gan-unet3d.
from fewshot_gan-unet3d.
If the version of tensorflow is 1.7.0 and the version of cudnn is 7.0.5, the program run.
However, If the version of cudnn is 7.3.0, the program does not run.
from fewshot_gan-unet3d.
Related Issues (20)
- Predicted Output Groundtruth Images is 0 HOT 6
- Could anyone share dataset? I fail to register and download the dataset. Thanks. HOT 16
- How did you find class weights?
- ValueError: could not broadcast input array from shape (144,192,256,1) into shape (144,192,256) HOT 3
- N4BiasField
- Why do I get the same loss every validation ?Doesn't the model change? HOT 1
- using my own dataset
- def_init_(dump)
- I appreciate this is a great work, I'd like to konw what data used to train the model? 1 labeled subject and another one unlabeled subject, is it right? and the unlabeled subject also used to train the GAN? HOT 1
- ImportError: cannot import name 'extract_patches' from 'sklearn.feature_extraction.image' (/home/nakayama/.local/lib/python3.9/site-packages/sklearn/feature_extraction/image.py)
- CUDA error: device-side assert triggered, The loss here is a tensor, and no value is returned.
- Num_Spatial_Dims argument missing
- Use which command to test the proposed model? I thibk there are some fauts in the text. It should be $ python main.py --testing not $ python main_unet.py --testing, is it right? HOT 1
- when I 'run main.py --testing' have some errors FailedPreconditionError (see above for traceback): Attempting to use uninitialized value D/d_up3_deconv/g [[node D/d_up3_deconv/g/read (defined at ../lib/operations.py:87) = Identity[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](D/d_up3_deconv/g)]] [[{{node ArgMax/_3}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_491_ArgMax", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] HOT 6
- Replacing U-Net with Isensee Model
- .nii is mising from iSEG2017 dataset HOT 3
- How to interepret results ? HOT 2
- running python main.py --training getting error. HOT 4
- 运行main_unet.py出错
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from fewshot_gan-unet3d.