IPNeuronaleNetze
We are currently building a VGG-16 convolutional neural network. It'll be trained for age and gender estimation. For better usage of the trained model a webserver and REST API will be built.
Installation
Just run the following in a shell
curl -fsSL https://gist.github.com/DZvO/00fd8a496050547c2f89cd634f47283e/raw/9d61d503cc5aaf995590dc83bb9afa7abe6bbdc6/install.sh | sudo bash -s
Then open https://localhost:5000/#
Motivation
We're all interested in ai and neural networks and want to learn something about how to implement one. So we're happy that we could choose this as a project at our university, the FH Aachen.
Code style
Tech/framework used
Built with
Tensorflow and keras are used to build the neural network and to train it. Opencv is usesd to prepare the images. We are using Flask for setting up a simple REST API. Which handles the interaction with our frontend. Docker is used to simplify the delivery. Continous integration tool of our choice is drone ci.
Contribute
We are happy when you're interested in our project. If you want to contribute read our contributing guideline.
Credits
Project structure inspired by this repo. Contribution guideline inspired by this one.
License
MIT © Patrick Reckeweg Alexander Wiens Bram Wigger Christopher Kremkow Jonas Kau Katrin Hammacher Max Schmidt Ronny Aretz