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deepfont-implement

  • How to identify fonts in pictures using deep learning? we can do visual font recognition (VFR) using DeepFont algorithm (from Adobe). The paper is here

res

  • This implementation is from Font_Recognition-DeepFont, in this repo
    • requirements.txt and Dockerfile are added so we can set it up easily
    • Github action is added so we can make sure Dockerfile do work
    • Data generation script create_data.py is provided
    • train.py and eval.py are provided so we can run training and evaluation without jupyter notebook

How to run it locally

  • setup
python3 -m "virtualenv" venv
source venv/bin/activate
pip3 install -r requirements.txt
  • create dataset
    • -c: the number of generated images for each font in fonts folder
    • -f: the target folder
python3 create_data.py -c 1 -f data
  • train
    • -e: epoch
python3 train.py -e 1
  • evaluate
    • -d: the path of testing file
    • -m: model filename
python3 eval.py -d test_data/Times.jpg -m top_model.h5

Run by docker

  • Build Dockerfile
docker build -t mydeepfont .
  • Run dockerfile
    • access http://127.0.0.1:8888 by browser
docker run -it --rm -p8888:8888 mydeepfont