Closed kpham123 closed 2 years ago
@kpham123 what is your model's IO tensor type?
This is actually the model in google's tutorials here: https://github.com/google-coral/tutorials/blob/master/retrain_classification_ptq_tf2.ipynb
Seems like it was recently updated with a new commit. I should be able to load and check this by the end of week
@kpham123 hey, yeah, the reason why I asked is because the model produced on an older version of that will have float IO tensors. Which means that you'll have to process the outputs differently than normal.
The newest revision (2 days ago) brought us back to uint8 IO tensors so you can use our normal demo on this model.
Closing this as this issue no longer exists.
Run all and running inference for the output of the TF2 model, on a Coral TPU board always gives 0.00 accuracy, even for images from the training dataset.
Using the same input images on the TF1 compiled model works fine.