Releases: BIOP/qupath-extension-cellpose
Adds Quality Control Notebook and Training now also saves Validation Predictions
Please see the forum post for more information
https://forum.image.sc/t/qupath-extension-cellpose-update-validation/71320
Also adds a fix to how the QuPath Proejct is recovered when training from another thread (Like when creating a button dynamically)
Project path inference update
Following the discussions on the Image.sc forum
https://forum.image.sc/t/create-a-shortcut-button-to-run-a-script/71195
And the PR #14 by @zindy, a better way to figure out where the project directory has been implemented.
This release corrects an incorrect overlap being set to 0 instead of the default due to my messing up boxed and unboxed doubles and ints.
Improved documentation, the return of normalization
This release tackles the following aspects
- Erroneous message informing that an unimplemented 'global normalization' was being performed on downsampled data
- Update to documentation with Cellpose installation instructions and practical information
- Adds an updated JavaDoc
- Adds the option to normalize in QuPath by clipping values below 0.0 and above 1.0 after calling
normalizePercentiles(double min, double max)
in the builder.
Note
This implies that the order ofnormalizePercentiles(double min, double max)
andpreprocess()
is important. Always finish with the normalization if using `preprocess()
Please read the updated documentation for some more small details
New Way to call cellpose
Inspired by the TrackMate-Cellpose and the following issue #12
This update adds the possibility to simply add the complete path to your python executable in order to run cellpose.
This also includes a fix that allows QuPath projects to have whitespaces in their path on Linux/MacOS .
Cellpose 2.0, with fewer bugs
Thanks to the community some bugs were spotted and fixed.
Improved training verbose support
This fixes training when using cellpose 1.0 as there was no output
Support for Cellpose 1.0
Adds option to Cellpose preferences for cellpose 1.0
Adds --verbose
flag when using cellpose 1.0
Removes --resample
flag
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
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.- Call
cellpose.getTrainingResults()
which parses the raw output log and returns a ResultsTable with the losses per epoch - 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