Sakr
Sakr
can I use pretrained checkpoint to test the raw cylinder 3d we get from https://github.com/xinge008/Cylinder3D
I want to ask while training in the logs I found as an example : 2024-04-23 15:22:40.711169: Epoch 195 2024-04-23 15:22:40.724555: Current learning rate: 0.00036 2024-04-23 15:23:41.803760: train_loss -0.7526 2024-04-23...
Is there any tutorial to serve the nnUNet models with torch serve
I want to increase the batch size during inference with this command nnUNetv2_predict
How can I use the model on the fly that gives the trained model the image and then return a variable that has the resulted image I don't want to...
When I do predict this time it gives me this error : file not found nnUNetTrainer__nnUNetPlans__2d/dataset.json but the file is exists in the directory and I do prediction many time...
Ensemble
I trained 2d image for segmentation task with 2D configuration and I write that command: nnUNetv2_find_best_configuration DATASET_NAME_OR_ID -c CONFIGURATIONS but it didn't give me a command to use ensemble how...
is their other way to make the prediction with Adding batch size instead of giving the images like that: 
I want to create a python class for inference no importance if it is long can any one help me (I want to create the usual pytorch class)
Is this license for dataset or for the code and your models: _**The code is released under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) for NonCommercial use only. Any...