nischalhp / fontastic

Font classifier

fontastic

Font classifier

This repository contains experiments for classfying fonts from images. Currently it consists of scrapers to pull the data.

Installation Instructions

• Requirments

  • python3
  • pip3
  • virtualenv

• How to install

  • virtualenv -p /usr/bin/python3 venv
  • source venv/bin/activate
  • pip install -r requirements.txt
  • export PYTHONPATH=.

Working with the Fontastic package

The fontastic package contains the following folder structure:

fontastic -- 
            scrape
            utils

Fetching Data

We fetch the data to train the classification model, we scrape the images from fontsquirrel.com. We specify the fonts required in the font section, located in the fontastic/scrape/config.ini. Also provide the number of the parallel process you need and output_dir to store the images for each font in the config section under the respective labels multiprocessing_pool_size and output_dir

Based on the pool size, we run parallel processes using multiprocessing. In order to fetch the data, you can call the following script :

python fontastic/scrape/scrape.py --config /<path_to_fontastic_folder>/fontastic/scrape/config.ini

You can see that in the output_dir path specified, you will see a folder for each font in the required_fonts list provided in the config.ini