Hemanth-Jonnala

@Bincci @Cen-Lu Thanks for trying the code. I thought this issue is for "RuntimeError: Pipeline was turned off before" coming from python scripts. The other logs (pipeline was turned off...

@Bincci I think, you just have to add logic [here](https://github.com/google-coral/libcoral/blob/master/coral/pipeline/pipelined_model_runner.cc#L171) to come out of the function without invoking shutdownpipeline when thread receives empty request and pipeline is turned off. https://github.com/google-coral/libcoral/blob/master/coral/pipeline/pipelined_model_runner.cc#L171...

@ImanHosseini please try to re flash the dev board mini using [fast boot](https://coral.ai/docs/dev-board-mini/reflash/#force-boot-into-fastboot-mode) and try the tutorial.

@truncs sorry for the delay. Are you still facing the issue? Can you please try with other [object detentions](https://coral.ai/models/object-detection/) models and see if Dual Edge TPU hangs or not.

@truncs can you please share the software and hardware details.

can you please try [two model inference.py](https://github.com/google-coral/pycoral/blob/master/examples/two_models_inference.py) with dual edge tpu and share the output of below snippet: ``` hemanth@hemanth-glaptop:~$ python3 Python 3.9.7 (default, Sep 3 2021, 06:18:44) [GCC 10.2.1...

do you have any other operating system and/or hardware to test to know whether the issue with software or hardware?

Okay, can you please try with different operating system as other user faced HIB error issue with windows but it got resolved with ubuntu. https://github.com/google-coral/edgetpu/issues/484

we have tested ASUS Coral Card: https://iot.asus.com/products/AI-accelerator/AI-Accelerator-PCIe-Card/. But, with this card you won't be able to use the dual edge TPU as it likely doesn't provide 2 PCIe buses per...

Most likely tflite runtime wheels for python 3.10 would be available by end of 2022 by tensorflow/tfltie-support team. https://github.com/tensorflow/tensorflow/issues/56137