# Project: Artificial intelligence
**Authors**
 - [Maciej Sobkowiak](https://github.com/MaSobkowiak) - UI, pathfinding
 - [Julian Kobryński](https://github.com/JKobrynski)
 - [Norbert Litkowski](https://github.com/nlitkowski) - UI, image recognition
 
**Subject: intelligent garbage truck**

**Technologies used**
- [PyGame](https://www.pygame.org/)
- [NumPy](http://www.numpy.org/)
- [PyQt5](https://pypi.org/project/PyQt5/)
- [TensorFlow](https://www.tensorflow.org/)
- [Augmentor](https://augmentor.readthedocs.io)

**Credits**
- As a training and testing set of images I used images from [this](https://github.com/garythung/trashnet) project.
- For training we relied on Google Inception model - it's explained [here](https://github.com/tensorflow/models/tree/master/research/inception).
- I used some code from this [tutorial](https://github.com/MicrocontrollersAndMore/TensorFlow_Tut_2_Classification_Walk-through).