Forensic Intelligence Part 2

Pre-workshop preparations Part 2 (Facial Age Estimation)

Forensic Intelligence

The quickest and easiest option for facial age estimation demonstration part of the workshop is to use the latest version of VirtualBox platform and the VirtualBox Extension Pack (both available from here: https://www.virtualbox.org/wiki/Downloads). Then you can download a pre-prepared virtual machine (dfrws.ova ~1.4Gb) from either of the below links:

1. Google Drive: https://drive.google.com/open?id=1gJfO5GkGMrU9fW92WhAJkv8-kLbo4_xv

2. UCD server: http://scanlon.ucd.ie/dfrws.ova

--dfrws.ova MD5 hash: aee02f23b2bed023b74b66885b9a787c

--dfrws.ova SHA1 hash: 88d2c7fe5ec2d0639416f8c8b3d72687781fc61a

OS username and password: lubuntu/lubuntu

Manual installation instructions for linux (requires python 2.7.x):

0) sudo apt install git python-pip

1) git clone https://4nd4@bitbucket.org/4nd4/dfrws_demo.git

2) cd dfrws_demo

3) sudo apt-get install build-essential cmake libgtk-3-dev libboost-all-dev

4) pip install -r requirements.txt

5) python demo.py (you may be prompted to grant python access to your webcam; the demo needs this access)

Note: It can take up to 15 minutes to download the weights file when launching demo.py for the first time.

This demo uses the WideResnet Architecture for images of size 64x64 trained on the IMDB-WIKI dataset.

References: https://github.com/yu4u/age-gender-estimation