pip install -r requiremnets.txt
make
./get_data.sh
this should downloads originalPics.tar.gz(~500MB), and FDDB-folds.tgz from FDDB and Checksum test ,if pass -> unzip tar.gz into originalPics directory.
if link fails : download from FDDB website http://vis-www.cs.umass.edu/fddb/
if always checksum fails :
wget http://tamaraberg.com/faceDataset/originalPics.tar.gz
wget http://vis-www.cs.umass.edu/fddb/FDDB-folds.tgz
mkdir originalPics;
tar -C originalPics -zxf originalPics.tar.gz
tar -C originalPics -zxf FDDB-folds.tgz
Step2: create data set that can be used in pyfaster-rcnn
./generate_FDDB_2010.sh
which will convert the FDDB data into the format used for pyfaster-rcnn
you can use labelImg to see if it deals properly(This is god dame awesome) https://github.com/tzutalin/labelImg