A Webserver to detect ads on TV
Build with Neural Networks, Django and Vue
Note: Cloning this repository may take a while, because it's very large
It's only testet with python 3.6, other versions may not work properly
All dependencys for python are in requirements.txt listed.
If you want to use the webserver, Redis must also be installed.
So that evrything works correctly the dateset and the saved network, must be downloaded. For the dateset go here and for the network go here
Go to the directory deepnet/examples for examples.
To start the server run sh deploy.sh.
If you prefer docker run docker-compose up
There are 2 parts to the app. The first part is the neural network and the algorithmen. The second part is the webserver.
The main part is the deepnet directory. It holds a self written deep neural network library.
The numpywrapper module is just so the neural network library can switch between numpy and cupy
The main parts are: app, src, vuedj
vuedj: The Django settings
app: Backend with Websocket
src: Frontend implemented with VueJS
thoughts is the directory with the Protocoll and the maturaarbeit
update_handler.py is the intersection between the server and the algorithmen