h3ll0world/diemaschine

Find people on open webcams, found with shodan.

diemaschine

Find anyone on public webcams, found with shodan.

This project is inspired by this article written by Medium.

This Project has been tested for Ubuntu 14.04 and Arch Linux. Its is based on python2.

At this Time, the program is only capable of detecting wheither there are faces, or not, and not detecting which face is there. But I'm trying to change this.

Setup:

First you have to install opencv and dlib:

wget https://github.com/davisking/dlib/releases/download/v18.16/dlib-18.16.tar.bz2

mkdir -p ~/src

cd ~/src

wget https://github.com/davisking/dlib/releases/download/v18.16/dlib-18.16.tar.bz2

tar xf dlib-18.16.tar.bz2

cd dlib-18.16/python_examples

mkdir build

cd build

To compile dlib we need to install a tool called cmake:

sudo apt-get install cmake

Compile dlib:

cmake ../../tools/python

cmake --build . --config Release

sudo cp dlib.so /usr/local/lib/python2.7/dist-packages

Now we have to install Torch, you can find more informations about Torch at torch.ch, but basically, it is a platform for machine learning.

git clone https://github.com/torch/distro.git ~/torch --recursive

cd ~/torch; bash install-deps;

./install.sh

Next we have to install some python libraries:

sudo apt-get install python-opencv

sudo pip install shodan

sudo pip install bs4

sudo apt-get install python-skimage

In order to detect faces you need a cascade, for example the standard one, supplied bay openface called something like "haarcascade_frontalface..."

You need a classifier script too, i am using the basic one from openface called classifier.py, you have to copy it into the root directory from this repo.