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Failed to prepare for TPU #23

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@Snail124

Description

@Snail124

Description

I tried to retrain an "EfficientDet-Lite" detection with the "Retrain EfficientDet-Lite detector for the Edge TPU (TF2)" guide (https://colab.research.google.com/github/google-coral/tutorials/blob/master/retrain_efficientdet_model_maker_tf2.ipynb) and to use it with this example object tracker.
When I try to execute the detect.py file with the retrained model, I get the error: "Failed to prepare for TPU". Does somebody know a solution for this problem? Or is there any other option to retrain a model to use it with this detect.py file?

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Issue Type

Support

Operating System

Mendel Linux

Coral Device

Dev Board Mini, Coral Camera

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No response

Programming Language

Python 3.7

Relevant Log Output

RuntimeError: Failed to prepare for TPU. Failed precondition: Package requires runtime version (14), which is newer than this runtime version (13).Node number 4 (EdgeTpuDelegateForCustomOp) failed to prepare.

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