DeepImageJ is a user-friendly plugin that enables the use of a variety of pre-trained deep learning models in ImageJ and Fiji. The plugin bridges the gap between deep learning and standard life-science applications. DeepImageJ runs image-to-image operations on a standard CPU-based computer and does not require any deep learning expertise.
Training developper constructs and upload trained model, and made them available to users.
Models are available in a repository here https://deepimagej.github.io/deepimagej/models.html
It is macro recordable. It is advised to luse DeepImageJ on a computer with GPU (CPU will likely be 20x slower)