/FDDB

Face Detection Data Set and Benchmark (FDDB) in Darknet

Primary LanguagePythonThe UnlicenseUnlicense

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.