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View Code? Open in Web Editor NEWEdge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
Home Page: https://qiita.com/PINTO
License: MIT License
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
Home Page: https://qiita.com/PINTO
License: MIT License
Interesting work!
I am trying to set up my hobby project, but need to transform my custom tensorflow model I found(it's also mobilenet). I can't get it running on my edge TPU, I guess I did something wrong in process of transforming model to tflite. Could yu please provide information how you transformed model(freezing and tflite transformation)?
I found freezed model in this script and then transformed it to tflite with
converter = tf.contrib.lite.TFLiteConverter.from_frozen_graph(path_to_pb_file: str, input_arrays= ['input'], output_arrays=['output'])
tflite_model = converter.convert()
Any tips will be greatly appreciated!
Hi,
Thanks for your sharing!
The Core m3 seems more powerful than other SoCs, Do you have plan to try TPU with RP3?
Thanks.
BRs,
Lee
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