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Project-MONAI
MONAI Tutorials
``` [2023-10-26T01:42:06.351Z] Running ./experiment_management/unet_segmentation_3d_ignite_clearml.ipynb [2023-10-26T01:42:06.351Z] Checking PEP8 compliance... [2023-10-26T01:42:07.278Z] Running notebook... [2023-10-26T01:42:07.278Z] Before: [2023-10-26T01:42:07.278Z] "max_epochs = 10\n", [2023-10-26T01:42:07.278Z] After: [2023-10-26T01:42:07.278Z] "max_epochs = 1\n", [2023-10-26T01:42:15.360Z] MONAI version: 1.3.0+10.g85243f52 [2023-10-26T01:42:15.360Z] Numpy version:...
Dear all, i am starting to use Auto3DSeg to develop a segmentation model for vertebrae from CT images. I am using a A100 GPU in an Azure environment. I installed...
Hi, I used another dataset with spacing **[0.18, 0.18, 0.18]**, I changed the intensity_transform parameters, the config parameters(including anchors) and made my dataset_fold[i].json accordingly, I followed all the instructions for...
**Is your feature request related to a problem? Please describe.** bundle templates, minimal examples for bundle workflow for pytorch users to get started migrating existing workflows - 90% use cases...
https://warwick.ac.uk/fac/cross_fac/tia/data/hovernet/consep_dataset.zip not available ``` [2023-10-05T01:48:32.818Z] Running ./pathology/nuclick/nuclick_infer.ipynb [2023-10-05T01:48:32.818Z] Checking PEP8 compliance... [2023-10-05T01:48:33.381Z] Running notebook... [2023-10-05T01:48:33.942Z] Before: [2023-10-05T01:48:33.942Z] "max_epochs = 1" [2023-10-05T01:48:34.197Z] After: [2023-10-05T01:48:34.197Z] "max_epochs = 1" [2023-10-05T01:48:44.136Z] MONAI version: 1.3.0rc2+14.g141bcf0a...
Hello, I'm trying to replicate the tutorial for my own dataset but i'm faced with this error :  I'm using google colab with 51GB of ram and V100 as...
``` 07:00:29 /usr/local/lib/python3.10/dist-packages/papermill/iorw.py:153: UserWarning: the file is not specified with any extension : - 07:00:29 warnings.warn( 07:00:29 Traceback (most recent call last): 07:00:29 File "/usr/local/bin/papermill", line 8, in 07:00:29 sys.exit(papermill())...
**Describe the bug** Models have all finished training, and during the ensembling process, cuda runs out of memory. Reproduce Steps to reproduce the behavior: Run Autorunner on AMOS22 dataset manually...
