@janjongboom, the OpenMV told me they will update the tensorflow library later this year so that’s good.
For my particular use case , thanks fo the very good course " Computer Vision with Embedded Machine Learning" by Shawn Hymel I found a workaround. I downloaded the tensorflow lite model from the dashboard and as my model is a simple FCNN passed my features as a 1D Image .
I was then able to do inference on my portenta H7 using the openMV micropython librairy , so I’m classify something which is not an image using micropython .
It doesn’t work on the arduino RP2040 yet, seems the tf librairiy is not completely implemented on the RP2040,I’m checking with the OpenMV folks.
I was wondering if anyone had managed to run tf on RP2040 or nano BLE 33 via openMV micropython build ?