nnDetection
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nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that wer...
Hello Michael, First, thanks for sharing nnDetection, that's interesting as well as nnUnet. I have already lunched and trained a nnUnet and saved the model for ADAM dataset. I read...
### :question: Question I want to classify rib fractures detected by ribfrac data set. What should I do. I have converted the ribfrac data set according to the format of...
### :question: Question Hello, unfortunately when running `nndet_train`, I realized that I didn't have enough memory, according to `figure 1`. So I tried to delete some files from the directory:...
### :skull: Bug Hello, Whenever I train nnDetection on my data, the network first trains for a few epochs and then I get the following error "RuntimeError: CUDA out of...
I used nnUnet code and recently started working with NNDetection. However, I have a little difficulty in installing this and really appreciate your help in solving the issue. I am...
### :question: Question Hello, I was wondering in which file is the metrics computation done (AP, AR and mAP). Indeed, I'm trying to compute more metrics/curves such as the Precision-Confidence...
Hi Michael, I had another question. I would like to check the validation performance of a pretrained model (well, 5, one per fold) which comes only with the consolidated folder....
### :question: Question Hi! Awesome work :) Recently, I tried to install nnDetection with pip install -e . , but I got a problem: ERROR: Command errored out with exit...
### :question: Question Hi! Since my training set is very small, can I not use cross-validation?
### :question: Question Hi I see that the package does some automatic sweeps to detect the best thresholds on the validation set. Can you explain briefly the contents of these...