OCR models in TensorFlow Lite!

[Sayak Paul]

Hi folks,

Last week Tulasi and I wrote to you regarding our work on creating text detectors in TensorFlow Lite. Tulasi extended that work and developed OCR models in TensorFlow Lite. Read further if this sounds interesting. 

Folks working in the area of OCR might already be familiar with the library called Keras OCR. He took the pre-trained models provided by them and successfully converted them to TensorFlow Lite. To my knowledge, he is probably the first one that has been able to do it. The converted TensorFlow Lite models are to be published on TensorFlow Hub (a PR is on the way). TensorFlow Lite team, hear hear!

Here's the repository of this project - https://github.com/tulasiram58827/ocr_tflite. For starters, here's a Colab Notebook that shows the end-to-end pipeline of performing OCR on images containing dense text blocks - https://colab.research.google.com/github.com/tulasiram58827/ocr_tflite/blob/main/colabs/ENDTOEND_OCR_TFLITE.ipynb (contains a small comparison and shows how to chain together two TensorFlow Lite models). Cool, eh? 

Mobile application developers, this might another excellent opportunity for you to create a sample application out of these models for demonstration purposes. 

Extensions: 

We now plan to extend this to support the use of machine translation and text-to-speech considering their real-world impact. If you are interested in collaborating please follow the details here and express your interest. 

Sayak Paul | sayak.dev

[George Soloupis]

Hi all,

Congrats on this amazing project! Nice to see this continuous effort and collaboration. 

I have already finished the Yamnet classification android app and I have started writing a blog post. I am available for an android application with the above tflite model. 

Please provide your preference because as I remember you have also created EAST/CRAFT tflite models. I am really interested in these opportunities.

Thanks

George

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[Sayak Paul]

Thank you, George. I think the OCR app might be more meaningful and practically useful. 

Sayak Paul | sayak.dev

[George Soloupis]

Ok then!

We will be in touch.

[TULASI RAM LAGHUMAVARAPU]

Hi George,

Thanks for the interest. This notebook is the right place to start with

https://colab.research.google.com/github.com/tulasiram58827/ocr_tflite/blob/main/colabs/ENDTOEND_OCR_TFLITE.ipynb

Please reach out to me in case of any queries through issues in the repo or mail.

[George Soloupis]

Thanks Tulasi.

I will contact you again in the next days