This is more like an Opencv-Laboratory than an actual project.

To see the whole definition (in German see) see: Pflichtenheft

To install the environment type

conda env create -f environment.yml

To update the environment in case of changes to environment.yml

conda env update -f environment.yml

In this directory are some small programs, all are related to Computer-Vision

This is an example of the Opencv Haarclassifier, trained with models from their git-repo.

Pong. But in this version of pong you and your friends control the paddle with your face.

A test-app for kerasplot.plot_callbacks.py from robolib

An example App to learn and understand pymunk. Pymunk was needd for facepong.

This directory contains a number of example-apps to understand neural networks and learn the api of several machine-learning-libraries like "Tensorflow","PyTorch","Keras"

A test-app for robogui.pixel_editor from robolib.

An app wich implements a siamese neural network in Pytorch and Keras. This forms the foundation of the finished Face-Detector.

We started with our Project using the Java language and we don't want to throw it completely away. This is discontinued and code in there is not bugfixed anymore. Don't expect changes in this directory.

Robolib is a collection of useful small libraries that are used by the apps.

A collection of utils to fetch training-data from external sources

A collection of utils to work with images

Callbacks for Keras to show the loss live in matplotlib plot

A collection of utils to fetch trained models from external sources. This is used for the Haar-Classifier of OpenCv

A collection of generic utils.