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Failed to prepare for TPU #23
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Hardware:Coral CameraCoral Camera issuesCoral Camera issuesHardware:Dev Board MiniCoral Dev Board Mini IssuesCoral Dev Board Mini Issuescomp:modelModel related isssuesModel related isssuessubtype:Mendel LinuxMendel Linux Build/installation issuesMendel Linux Build/installation issuestype:supportSupport question or issueSupport question or issue
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Hardware:Coral CameraCoral Camera issuesCoral Camera issuesHardware:Dev Board MiniCoral Dev Board Mini IssuesCoral Dev Board Mini Issuescomp:modelModel related isssuesModel related isssuessubtype:Mendel LinuxMendel Linux Build/installation issuesMendel Linux Build/installation issuestype:supportSupport question or issueSupport question or issue
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
Other Devices
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.