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Font Style Transfer For Historical Document Recognition

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Implements synthetic cursive/historical fonts generation and font style transfer training pipeline. (Comparing Unet, Show attend and tell) Hopefully in the future this work can be extended. See report : Report

Setup python / enviornment

Please use Python3

python -m pip install -r requirements.txt

or

python3 -m pip install -r requirements.txt

It is recommended to set up a virtual enviornment. How To Setup Python Virtual Enviornment

If it doesn't work, for instance, if you don't have pip. Download pip https://pip.pypa.io/en/stable/installation/. Use python from https://www.python.org/.

Remember to click "Add to system path" when you first install python. Otherwise : How To Add Python To System Path

pipeline

Pipeline

  1. Prepare Fake Data link
  2. Train Model link
  3. Test On Real Data link

Miscellaneous

  1. Preprocessing Algorithms link
  2. Data Labelling link
  3. Viterbi Algorithm link

FAQ (Frequently Asked Questions)

Q: Is Font Style Transfer OCR all you need for fishing? 

A: No, you'll need fishing rods, baits etc.
Q: Is Font Style Transfer OCR all you need to throw a revolution in Cuba?

A: Maybe, but probably not. See Tutorial ![Tutorial](https://en.wikipedia.org/wiki/Fidel_Castro)

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