A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
I have downloaded and extracted the model from the original GitHub repository. Please explain how to convert it to a frozen graph format. Here is how the extracted directory looks like.
What are the changes that I need to make in the export code code to convert to frozen-graph?.
I have downloaded and extracted the model from the original GitHub repository. Please explain how to convert it to a frozen graph format. Here is how the extracted directory looks like. What are the changes that I need to make in the export code code to convert to frozen-graph?.