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Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

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I'm stuck with the legacy api due to inability to switch to 2.0 / pycoral. Probably has something to do with me having the m2 TPU rather than the USB...

https://github.com/ricardodeazambuja/ALPR-EdgeTPU-RPI0

https://github.com/ricardodeazambuja/Maple-Syrup-Pi-Camera

I have a possible use case for this, but the rest server would be running on windows rather than a Pi. Would that be possible? I don't have a coral...

https://github.com/google-coral/aiy-maker-kit

I'm getting a lot of bounding boxes, a LOT. Many of them are often very low confidence. Is there any way to correct this? ![photo5064402415427627057](https://user-images.githubusercontent.com/566975/82818676-b17e8b00-9e64-11ea-9a12-00510930cf17.jpg) ![photo5064402415427627051](https://user-images.githubusercontent.com/566975/82818678-b17e8b00-9e64-11ea-93ea-26df567aa974.jpg) ![photo5060054018738464947](https://user-images.githubusercontent.com/566975/82818685-b2172180-9e64-11ea-9662-3a66d65e3587.jpg) ![photo5060054018738464946](https://user-images.githubusercontent.com/566975/82818691-b2afb800-9e64-11ea-8ba5-008d20f5ac89.jpg)

Promise to be more performant https://coral.withgoogle.com/models

https://blogs.sap.com/2020/02/11/containerizing-a-tensorflow-lite-edge-tpu-ml-application-with-hardware-access-on-raspbian/

https://github.com/bogdannedelcu/yolov5-export-to-coraldevmini

Flask debug mode causes the app to initialise twice, opening another "handle" to the edge TPU. Turning debug mode off fixes this. Ref: https://stackoverflow.com/questions/9449101/how-to-stop-flask-from-initialising-twice-in-debug-mode#:~:text=When%20building%20a%20Flask%20service,Flask%20service%20only%20initialises%20once.