The aim of this repository is to develop an artifical neuronal network as a student-project which is capable of detecting and tracking various faces in pictures and videos. In the first step it will analyse single frames for faces and mark the position of them. The second step is optimization. As a result the network shoud be as fast and accurat as possible. This step is important for the last stage. Finally the Network will analyse a live video served by a webcam and track the faces present in the stream.
The used programming language will be Python.