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abhi4ssj / few-shot-segmentation

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
MIT License
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convert_h5.py question #15

Open ruida opened 4 years ago

ruida commented 4 years ago

Hi,

Thanks for sharing the code with the community. I have one quick question. In convert_h5.py, how do you prepare those corresponding data? i.e., what is the FS mean? Could you leave us with the data preparation instruction? Hopefully, the guidance will make us easier to run your architecture. Thanks much!

--Ruida

""" Convert to h5 utility. Sample command to create new dataset - python utils/convert_h5.py -dd /home/masterthesis/shayan/nas_drive/Data_Neuro/OASISchallenge/FS -ld /home/masterthesis/shayan/nas_drive/Data_Neuro/OASISchallenge -trv datasets/train_volumes.txt -tev datasets/test_volumes.txt -rc Neo -o COR -df datasets/MALC/coronal

TDBaker2016 commented 4 years ago

Hi

Hi,

Thanks for sharing the code with the community. I have one quick question. In convert_h5.py, how do you prepare those corresponding data? i.e., what is the FS mean? Could you leave us with the data preparation instruction? Hopefully, the guidance will make us easier to run your architecture. Thanks much!

--Ruida

""" Convert to h5 utility. Sample command to create new dataset - python utils/convert_h5.py -dd /home/masterthesis/shayan/nas_drive/Data_Neuro/OASISchallenge/FS -ld /home/masterthesis/shayan/nas_drive/Data_Neuro/OASISchallenge -trv datasets/train_volumes.txt -tev datasets/test_volumes.txt -rc Neo -o COR -df datasets/MALC/coronal

  • python utils/convert_h5.py -dd /home/masterthesis/shayan/nas_drive/Data_Neuro/IXI/IXI_FS -ld /home/masterthesis/shayan/nas_drive/Data_Neuro/IXI/IXI_FS -ds 98,2 -rc FS -o COR -df datasets/IXI/coronal
  • python3.6 utils/convert_h5.py -dd /home/deeplearning/Abhijit/nas_drive/Abhijit/WholeBody/CT_ce/Data/SilverCorpus -ld /home/deeplearning/Abhijit/nas_drive/Abhijit/WholeBody/CT_ce/Data/SilverCorpus -trv datasets/test_volumes_silver.txt -tev datasets/test_volumes_silver.txt -rc WholeBody -o AXI -df datasets/silver_corpus """

Hi Ruida, this Viseral data used in this work is not available now. Could you help share some toy data only for debug? Thank you.

lilyandluc commented 3 years ago

Hi

Hi, Thanks for sharing the code with the community. I have one quick question. In convert_h5.py, how do you prepare those corresponding data? i.e., what is the FS mean? Could you leave us with the data preparation instruction? Hopefully, the guidance will make us easier to run your architecture. Thanks much! --Ruida """ Convert to h5 utility. Sample command to create new dataset - python utils/convert_h5.py -dd /home/masterthesis/shayan/nas_drive/Data_Neuro/OASISchallenge/FS -ld /home/masterthesis/shayan/nas_drive/Data_Neuro/OASISchallenge -trv datasets/train_volumes.txt -tev datasets/test_volumes.txt -rc Neo -o COR -df datasets/MALC/coronal

  • python utils/convert_h5.py -dd /home/masterthesis/shayan/nas_drive/Data_Neuro/IXI/IXI_FS -ld /home/masterthesis/shayan/nas_drive/Data_Neuro/IXI/IXI_FS -ds 98,2 -rc FS -o COR -df datasets/IXI/coronal
  • python3.6 utils/convert_h5.py -dd /home/deeplearning/Abhijit/nas_drive/Abhijit/WholeBody/CT_ce/Data/SilverCorpus -ld /home/deeplearning/Abhijit/nas_drive/Abhijit/WholeBody/CT_ce/Data/SilverCorpus -trv datasets/test_volumes_silver.txt -tev datasets/test_volumes_silver.txt -rc WholeBody -o AXI -df datasets/silver_corpus """

Hi Ruida, this Viseral data used in this work is not available now. Could you help share some toy data only for debug? Thank you. have you got that toy data?I'm trying on this and I can't figure out the content of dataset