Does anyone know if there is a tutorial for getting the 3D RetinaNet in MONAI working on an example dataset? The tutorial for UNETR object segmentation is very useful:
And it would be great if there was analogous one for the 3D RetinaNet package recently released in MONAI, for doing object classification (bounding boxes) rather than segmentation. There are some code snippets in the documentation:
Does anyone know if there is a tutorial for getting the 3D RetinaNet in MONAI working on an example dataset? The tutorial for UNETR object segmentation is very useful:
https://github.com/Project-MONAI/research-contributions/tree/main/SwinUNETR/BTCV
And it would be great if there was analogous one for the 3D RetinaNet package recently released in MONAI, for doing object classification (bounding boxes) rather than segmentation. There are some code snippets in the documentation:
https://docs.monai.io/en/stable/_modules/monai/apps/detection/networks/retinanet_network.html https://docs.monai.io/en/stable/_modules/monai/apps/detection/networks/retinanet_detector.html
But not a full tutorial. Alternatively, if anyone knows of a different 3D bounding-box model in MONAI that does have a tutorial, that could work too.
Thanks!