Integrate Your nnUNet Model in 3D Slicer

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  • Опубликовано: 22 дек 2024

Комментарии • 23

  • @derekwang5982
    @derekwang5982 13 дней назад

    Great tutorial. Thank you.

  • @Ankmehra92
    @Ankmehra92 6 месяцев назад +1

    I recently found your channel.
    Thank you for the videos they are really helpful 🙏

  • @RabiulIslam-tw6qc
    @RabiulIslam-tw6qc 6 месяцев назад +1

    Wonderful. Thanks for your sharing.

  • @mohamedkassar7441
    @mohamedkassar7441 6 месяцев назад +1

    Thanks for sharing!

  • @Ivan-dt3uk
    @Ivan-dt3uk 6 месяцев назад

    Merci bcp pour vos vidéos.

  • @hayetberrah8579
    @hayetberrah8579 6 месяцев назад

    Thank you💞👍👏👏

  • @acerniyazi
    @acerniyazi 5 месяцев назад

    Thank you for sharing video. How can I get dataset100 file. I tried but I have fault.

    • @pycad
      @pycad  5 месяцев назад +2

      Hey, please find the model checkpoints here: www.dropbox.com/scl/fi/yj981c7chepg6fqwceg04/configs.zip?rlkey=uwvytlgztowj4p6m3qflcgy76&st=gwfe8oxc&dl=0

    • @acerniyazi
      @acerniyazi 5 месяцев назад

      @@pycad thank you very much I will try now

    • @acerniyazi
      @acerniyazi 5 месяцев назад

      @@pycad I downloaded your file but I got an error. Start
      ********************************************************************************
      nnUNet is already installed (2.1) and compatible with requested version (nnunetv2).
      Encountered error during inference :
      Invalid nnUNet configuration. Invalid nnUNet configuration folder : Dataset100
      Your model weight folder path should look like the following :
      Dataset/____
      It should also contain a dataset.json file and fold_ folders with model weights.
      Provided model dir :
      C:\Users\acern\Documents\configs

    • @sunny3084
      @sunny3084 5 месяцев назад

      @@pycad thank you very much

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  • @YINANSUN-qc9db
    @YINANSUN-qc9db 6 месяцев назад

    “Do you encounter errors when installing dependencies on Windows?”

    • @pycad
      @pycad  6 месяцев назад

      Nop, it worked in the first run!

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