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trofimova avatar trofimova commented on September 7, 2024 1

i would say yes. if you still have the problem with opening the error files separately, please let us and @neheller know.

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FabianIsensee avatar FabianIsensee commented on September 7, 2024 1

Preprocessing is currently always done from scratch. We could change that in the future but unfortunately that's how it is now. Please use -tl 2 and -tf 1 in an attempt to get it working :-) This needs a lot of RAM, unfortunately

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neheller avatar neheller commented on September 7, 2024

Thanks for bringing this to our attention. Any ideas here, @FabianIsensee, @trofimova ?

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trofimova avatar trofimova commented on September 7, 2024

hi @mincheoree. i assume you are running "nnUNet_plan_and_preprocess -t 135" command. if so, please provide your setup with packages versioning etc. If not, please provide the operations you trying to run so we can help you out.

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mincheoree avatar mincheoree commented on September 7, 2024

hi @trofimova Thanks for your reply.
yes, I am running that command.
I am running this on Ubuntu 20.04. 2 LTS

_libgcc_mutex             0.1                        main  
_openmp_mutex             4.5                       1_gnu  
argparse                  1.4.0                    pypi_0    pypi
batchgenerators           0.21                     pypi_0    pypi
blas                      1.0                         mkl  
bzip2                     1.0.8                h7b6447c_0  
ca-certificates           2021.5.25            h06a4308_1  
certifi                   2021.5.30        py38h06a4308_0  
chardet                   4.0.0                    pypi_0    pypi
cudatoolkit               11.1.74              h6bb024c_0    nvidia
cycler                    0.10.0                   pypi_0    pypi
decorator                 4.4.2                    pypi_0    pypi
dicom2nifti               2.3.0                    pypi_0    pypi
ffmpeg                    4.3                  hf484d3e_0    pytorch
freetype                  2.10.4               h5ab3b9f_0  
future                    0.18.2                   pypi_0    pypi
gmp                       6.2.1                h2531618_2  
gnutls                    3.6.15               he1e5248_0  
hiddenlayer               0.2                      pypi_0    pypi
idna                      2.10                     pypi_0    pypi
imageio                   2.9.0                    pypi_0    pypi
intel-openmp              2021.2.0           h06a4308_610  
joblib                    1.0.1                    pypi_0    pypi
jpeg                      9b                   h024ee3a_2  
kiwisolver                1.3.1                    pypi_0    pypi
lame                      3.100                h7b6447c_0  
lcms2                     2.12                 h3be6417_0  
ld_impl_linux-64          2.35.1               h7274673_9  
libffi                    3.3                  he6710b0_2  
libgcc-ng                 9.3.0               h5101ec6_17  
libgomp                   9.3.0               h5101ec6_17  
libiconv                  1.15                 h63c8f33_5  
libidn2                   2.3.1                h27cfd23_0  
libpng                    1.6.37               hbc83047_0  
libstdcxx-ng              9.3.0               hd4cf53a_17  
libtasn1                  4.16.0               h27cfd23_0  
libtiff                   4.2.0                h85742a9_0  
libunistring              0.9.10               h27cfd23_0  
libuv                     1.40.0               h7b6447c_0  
libwebp-base              1.2.0                h27cfd23_0  
linecache2                1.0.0                    pypi_0    pypi
lz4-c                     1.9.3                h2531618_0  
matplotlib                3.4.2                    pypi_0    pypi
medpy                     0.4.0                    pypi_0    pypi
mkl                       2021.2.0           h06a4308_296  
mkl-service               2.3.0            py38h27cfd23_1  
mkl_fft                   1.3.0            py38h42c9631_2  
mkl_random                1.2.1            py38ha9443f7_2  
ncurses                   6.2                  he6710b0_1  
nettle                    3.7.3                hbbd107a_1  
networkx                  2.5.1                    pypi_0    pypi
nibabel                   3.2.1                    pypi_0    pypi
ninja                     1.10.2               hff7bd54_1  
nnunet                    1.6.6                     dev_0    <develop>
numpy                     1.20.2           py38h2d18471_0  
numpy-base                1.20.2           py38hfae3a4d_0  
olefile                   0.46                       py_0  
openh264                  2.1.0                hd408876_0  
openssl                   1.1.1k               h27cfd23_0  
packaging                 20.9                     pypi_0    pypi
pandas                    1.2.5                    pypi_0    pypi
pillow                    8.2.0            py38he98fc37_0  
pip                       21.1.2           py38h06a4308_0  
pydicom                   2.1.2                    pypi_0    pypi
pyparsing                 2.4.7                    pypi_0    pypi
python                    3.8.10               h12debd9_8  
python-dateutil           2.8.1                    pypi_0    pypi
pytorch                   1.9.0           py3.8_cuda11.1_cudnn8.0.5_0    pytorch
pytz                      2021.1                   pypi_0    pypi
pywavelets                1.1.1                    pypi_0    pypi
readline                  8.1                  h27cfd23_0  
requests                  2.25.1                   pypi_0    pypi
scikit-image              0.18.1                   pypi_0    pypi
scikit-learn              0.24.2                   pypi_0    pypi
scipy                     1.7.0                    pypi_0    pypi
setuptools                52.0.0           py38h06a4308_0  
simpleitk                 2.0.2                    pypi_0    pypi
six                       1.16.0             pyhd3eb1b0_0  
sklearn                   0.0                      pypi_0    pypi
sqlite                    3.35.4               hdfb4753_0  
threadpoolctl             2.1.0                    pypi_0    pypi
tifffile                  2021.6.14                pypi_0    pypi
tk                        8.6.10               hbc83047_0  
torchaudio                0.9.0                      py38    pytorch
torchvision               0.10.0               py38_cu111    pytorch
tqdm                      4.61.1                   pypi_0    pypi
traceback2                1.4.0                    pypi_0    pypi
typing_extensions         3.7.4.3            pyha847dfd_0  
unittest2                 1.1.0                    pypi_0    pypi
urllib3                   1.26.5                   pypi_0    pypi
wheel                     0.36.2             pyhd3eb1b0_0  
xz                        5.2.5                h7b6447c_0  
zlib                      1.2.11               h7b6447c_3  
zstd                      1.4.9                haebb681_0  

These are the packages I installed for nnUnet environment. I am suspecting medpy version is not in sync. May I get some suggestions from you? Thank you for your effort.

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trofimova avatar trofimova commented on September 7, 2024

the medpy version is the same on my working env. simple itk as well. so what i would do is to double check couple of things. Can you open case_00038.nii.gz file separately from kits21 repo? Can you open it when its in nnUNet_raw folder? do those file with errors end up in preprocessing folder?

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mincheoree avatar mincheoree commented on September 7, 2024

@trofimova No I can't open the 00038 file separately and also in raw folder. I am using ITK-snap software to open it, but it says format NiFTi can not read the image. My preprocessing folder is now empty since I meet this problem during preprocessing. Should I download the images again?

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neheller avatar neheller commented on September 7, 2024

If the problem is just with one case, you can delete that image file and then re-run get_imaging.py. it should re-download only the image that is missing.

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mincheoree avatar mincheoree commented on September 7, 2024

@trofimova @neheller Oh yes, I have tried deleted case 38th image and then re download it, but the same problem of beubg unable to read the image occurs.
I found out that from number 6th image, the file size is extremely small. I am not sure why this happen though, it just didn't download properly.
image

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neheller avatar neheller commented on September 7, 2024

That's odd, I just ran it and the files came down normally for me. Did the case you re-downloaded come down properly?

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FabianIsensee avatar FabianIsensee commented on September 7, 2024

Yeah it looks like your download failed. Those images are supposed to be way larger. Can you delete all the small images and try redownloading? Do you have enough disk space available?

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mincheoree avatar mincheoree commented on September 7, 2024

Yes, I have done it, I think it was due to download fail, since the preprocessing takes long time, should I just focus on some of cases and train?

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FabianIsensee avatar FabianIsensee commented on September 7, 2024

No it only makes sense to use all images. Give it time :-)

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mincheoree avatar mincheoree commented on September 7, 2024

@FabianIsensee When preprocessing stops because of connection close, when I restart the preprocessing, will the machine save the previous preprocessed images?

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neheller avatar neheller commented on September 7, 2024

Hey @mincheoree, were you able to retrieve the full dataset?

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mincheoree avatar mincheoree commented on September 7, 2024

@neheller Oh yes I am able to solve the download problem after I re-downloaded the dataset. Thanks for your feedbacks!

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neheller avatar neheller commented on September 7, 2024

Great!

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