280 - Custom object segmentation using StarDist library in python

Code generated in the video can be downloaded from here: Train: github.com/bnsreenu/python_for_microscopists/blob/… Predict: github.com/bnsreenu/python_for_microscopists/blob/… All other code: github.com/bnsreenu/python_for_microscopists 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

• #science_technology
• #microscopy
• #python
• #image_processing