Converting ONNX models to CoreML with ease.

A work in progress.

cd into project directory, then convert.py to start.

It will prompt if something can't be handled automatically.

In a zipfile I signed and notarized the libraries libcoremlpython.so libmilstoragepython.so libmodelpackage.so, you need to unpack them and put them back into the coremltoolsx folder from the onnx-coreml-2025 folder.
If there is an issue, you can copy your own libraries that you can find inside the oot of your existing coremltools python site-packages directory.

I need to know what doesn't work so we can fix it, layer per layer.
I mostly use Ultralytics 'Yolo' models, and there are many other ops I might even not know about. With coremltools 8.1, we can virtually convert everything. The three main ideas here are:

make a model run -even if that means "resize bicubic" becomes "resize bilinear".
it has to be easy
every layer can be manually modified, changed or skipped