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Building binary for Sparkfun Edge #67418
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@h-tye You're right, the original TensorFlow Lite for Microcontrollers tutorial relies on an older directory structure that's no longer included. Kindly refer to the workaround as follows;
Also refer the TensorFlow Lite Micro getting started guide for more information. Thank you! |
@sushreebarsa Unfortunately, I am not able to use the Arduino IDE as when I run any code - even the examples- I get an error that reads "Unsupported Board". I believe that Arduino no longer supports the Sparkfun Edge which is why I was trying to flash binary onto the device. Thanks for the help |
Correction: It looks like the Arduino examples for Sparkfun edge are no longer supported by TensorFlow, not Arduino. https://github.com/tensorflow/tflite-micro-arduino-examples?tab=readme-ov-file#how-to-install as per this github repo, the peripherals are made purely for the Arduino Nano 33 BLE, which means that anytime I run one of the examples it produces a "unsupported board" error. |
@h-tye There might not be official Arduino libraries for the SparkFun Edge specifically, TFLite Micro offers support for various Arm Cortex-M processors, which the SparkFun Edge uses (https://www.tensorflow.org/lite/microcontrollers). |
This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. |
This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. |
I am trying to upload micro speech detection onto the SparkFun Edge device using this tutorial: https://codelabs.developers.google.com/codelabs/sparkfun-tensorflow/#3 . However, the directory needed to build the binary in the first part of step 4 no longer exists, has anyone found a way around this? The issue is tensorflow has tflite-micro as a standalone repository now but it no longer has the same tools.
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