ashoknp-git/smarteye

Implementation of the VADNN article

smartEYE

This is an implemetation of the VADNN article. This collection of scripts for Torch7 can compute both bottom-up and top-down visual attention saliency maps.

You need to fetch some data

You need to fetch the trained model, at least, to be able to run the live demo.

./getData-public.sh

Dependency

If you want to use an USB camera, you will need to install the camera package

luarocks install camera

How to run a live person top-down saliency demo

There are available three different methods with which the final top-down saliency map is displayed. Each method can be selected by --mode #, where # can be 1, 2 or 3. The source can be a USB webcam, which is the default option, or an Ethernet camera, which can be chosen with --eth. For example, we can run on USB, mode 3 by typing

cd dev
qlua saliencyCam.lua --mode 3

or, we could run on Ethernet and using method 2 with

qlua saliencyCam.lua --mode 2 --eth