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I am trying to **inference with command line**. I have run `nnUNet_predict -i -o -t -m 3d_fullres -tr nnUNetTrainerV2BraTSRegions_DA4_BN_BD --save_npz` successfully. However, there is something wro…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Parkinsons Vision Based Pose Estimation
:red_circle: **Aim** : The goal of this project was to use feat…
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Sorry for asking this question,
My training set is CT images consisting of kidney and kidney tumor, whose ground truth is labeled in voxel level. Now I want to do 3D object detection of tumor. I'…
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I see the function " evaluate3d_detection()" in file “evaluation.py ”. And I find that you obtain the 3D centres based on the 2d labels. Also, the objects' 3D sizes are related to the samples' label…
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The current method of preprocessing the music data is to split it into equal-time chunks, convert into an array of dB at each frequency at each time step (~1024 x 44 array, where the x axis is frequen…
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Hi @TaoZhong11 ,
Thanks for this amazing work!
I encountered an error while running the Docker image with data I obtained from https://fcon_1000.projects.nitrc.org/indi/PRIMEdownloads.html. To t…
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Hi, thank you for your brilliant work pretty much, and I have starred your work.
Now I try to use a new 3D dataset to train a new model for a new research based on your code, and now I have got t…
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We should be able to generate a workflow that given predefined input data is able to generate the Digital Twin as a set of 3DTiles for a medium size city like Florence or Genova. The worflow should be…
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Hi there, nice work.
Can you provide me your training and testing split for the BRATS21 dataset? I am trying to reproduce your work so I would like to know how to create the actual samples I need to …
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Thanks for releasing the data preprocessing code. However, I am unable to run the single_video_preprocess.py file due to the following error: **ModuleNotFoundError: No module named 'face_tracker'**
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