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

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 itimages. 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

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