QuPath Compatibility with 0.3.2 and logging display

This small update fixes a slowdown in saving images caused by the new way the Bioformats reader is setup.

Furthermore this update includes an easier way to see and display the training of your cellpose model.
After building your cellpose object and after running the training with train(), you can now do the following

1. cellpose.getOutputLog() which will return a String array with all the logged steps from cellpose. You could save these as a file if you want.
2. Call cellpose.getTrainingResults() which parses the raw output log and returns a ResultsTable with the losses per epoch
3. Call cellpose.showTrainingGraph(), which displays a simple JavaFX plot of the Training and Validation Losses per Epoch.

The cellpose.getOutputLog() also would work when doing prediction instead of training. The others would simply be empty.

Happy training

Overhaul, Javadocs and new training options

Adds much documentation and a rework of the builder class.

Please check the documentation to spot the differenced in this version and do not hesitate to file Issues here or on https://forum.image.sc

Omnipose implementation

This new version uses cellpose/omnipose instead, which has an updated CLI.

This means that your previous cellpose environment will no longer work

If you have not done it before, please update cellpose from their instructions or create a new virtual environment for omnipose as per
https://github.com/MouseLand/cellpose

Fixes overlap issues and changes how training is handled

adds new logic for filtering objects

fixes training example script to remove diameter as it is not useful

Adds Training capability and demo scripts

v0.1.2

matches reported version to jar version