# DeepRain

**Repository Path**: shiji203/DeepRain

## Basic Information

- **Project Name**: DeepRain
- **Description**: short term precipitation prediction with a UNet
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-24
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DeepRain
This project was created in the context of a course at the HTWG Konstanz - University of Applied Sciences.

The goal is a short term precipitation prediction for 35 minutes of an area around Constance with machine learning.
Therefor we use a UNet implementation in keras and tensorflow for python 3.

Our team: [Etienne](https://github.com/etgramli), [Merle](https://github.com/WandaWuff), [Thomas](https://github.com/thgnaedi), [Tim](https://github.com/timethethyme) creates a short term precipitation prediction using a UNet under supervision of Prof. Dr. [Oliver Duerr](https://github.com/oduerr).

## Result
* can be read from our english paper [here on github](https://github.com/thgnaedi/DeepRain/blob/master/Docs/paper/report.pdf)
* or in our full length german report [here on github](https://github.com/thgnaedi/DeepRain/blob/master/Docs/Langdokumentation.pdf)

## Requirements
To run the scripts in this repository, you need the [Anaconda](https://www.anaconda.com/distribution/) Python distribution and additionally install the following packages:
- keras
- tensorflow
- cv2 (OpenCV)
- wradlib