FDDB

This repository contains scripts automating conversion of the FDDB dataset to a format required by the Darknet framework.

Usage

1. Clone and navigate to the repository

2. Use the following links in order to download a complete FDDB dataset.

    wget http://vis-www.cs.umass.edu/fddb/FDDB-folds.tgz
   wget http://vis-www.cs.umass.edu/fddb/README.txt
   wget http://tamaraberg.com/faceDataset/originalPics.tar.gz
   

3. Create a new folder and call it images. Unpack the supplied images inside of it.

    tar -xzvf FDDB-folds.tgz
   mdkir images && tar -xzvf originalPics.tar.gz -C images
   

4. Prepare data.

    find FDDB-folds -type f -regex ".*[0-9]-.*txt" -exec cat {} >> FDDB-folds/FDDB-annotations.txt \;
   find FDDB-folds -type f -regex ".*[0-9]+.txt" -exec cat {} >> FDDB-folds/FDDB-paths.txt \;
   

5. Install the required Python libraries.

    pip install Pillow
   

6. Generate all the files required by the Darknet.

    python ./scripts/cs_fddb_convert_to_darknet.py
   

License

This is free and unencumbered software released into the public domain. For more information, please refer to the LICENSE file.