Hi,
I am trying to expand the model from tflite object detector with OCR, I have exported the underlying serving model and I have some trouble understanding the output I’m getting from the keras model. The output I’m getting is 2 arrays with pyramid like outputs.

EfficientDet architecture2264×820 207 KB

I’m trying to understand how I can get bboxes and predictions (scores and class) out of it. I’ve been looking for clues here but I can’t wrap my head around it.
I’d like to stay with tflite implementation of the model as it provides me with very convenient training and the results with just some augmentation added on top of what tflite already provides is getting me satisfying results and just use the underlying model to combine it with OCR and later export it back to tflite for mobile use.