Code generated in the video can be downloaded from here:
Train: https://github.com/bnsreenu/python_fo...
Predict: https://github.com/bnsreenu/python_fo...
All other code:
https://github.com/bnsreenu/python_fo...
This video tutorial explains the process of training your own StarDist model for object segmentation. It walks you through the process of importing training images and corresponding masks, training a model, and segmenting (any size) images using the trained model.
Warning: You may find this approach more efficient compared to U-net or Mask-RCNN