README.md

FDDB_DataSet_4_faster_rcnn

Quick Start (if done, skip Step1, Step2)

pip install -r requiremnets.txt
make

Step1: get datas from FDDB

./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

Finally: using labelImg to test if create properly

you can use labelImg to see if it deals properly(This is god dame awesome) https://github.com/tzutalin/labelImg