https://github.com/PancakeSoftware/openHabAI

Train Neuronal networks to automate your home
https://github.com/PancakeSoftware/openHabAI

ai home-automation mxnet neural-networks openhab2

Last synced: 2 months ago
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Train Neuronal networks to automate your home

• Host: GitHub
• URL: https://github.com/PancakeSoftware/openHabAI
• Owner: PancakeSoftware
• License: mit
• Created: 2017-07-20T16:43:18.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2023-03-01T19:16:04.000Z (almost 2 years ago)
• Last Synced: 2024-05-22T04:22:18.486Z (8 months ago)
• Topics: ai, home-automation, mxnet, neural-networks, openhab2
• Language: C++
• Homepage: https://gitlab.com/PancakeSoftware/openHabAI
• Size: 4.88 MB
• Stars: 19
• Watchers: 6
• Forks: 8
• Open Issues: 27
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• Awesome-MXNet - openHabAI

README

        
# OpenHabAI [![pipeline status](https://gitlab.com/PancakeSoftware/openHabAI/badges/master/pipeline.svg)](https://gitlab.com/PancakeSoftware/openHabAI/commits/master) 
![](doc/img/frontend.png)

Automate your home using Neuronal networks. 


OpenHabAI provides a fast c++ backend 

([mxnet is used for computation](http://mxnet.io)) and frontend that run in browser.

To see api documentation look at: [catflow/README.md](catflow/README.md)

## Install

Download [install-packages](https://gitlab.com/PancakeSoftware/openHabAI/-/jobs/artifacts/master/download?job=install-packages) from artifacts. Extract it and install the .deb package.

```bash

cd build/pack

dpkg --install OpenHabAI-0.0.0-Linux.deb

# resolve deps 

apt-get install -f                          

```

## Build from Source 

First **install** these packages:

* For **frontend**

    * nodejs

    * npm

* For **trainServer**

    * zlib1g-dev

    * libssl-dev

    * for **mxnet**

        * libopenblas-dev 

        * liblapack-dev

        * *cuda (optional, if you want to use gpu)* [see at mxnet.io](http://mxnet.io/get_started/build_from_source.html#optional-cuda-cudnn-for-nvidia-gpus)

    * cmake, git, c++ build tools

    

Execute build command:

```bash

mkdir build

cd build

cmake ../

make 

```

The compiled trainSever executable can be found in build/bin. 


To run frontend: ```make frontendRun``` or see in [README of frontend](frontend-angular/README.md)

 

#### Development

To use the Websocket Api see backend-frontend [protocol definition](./doc/README.md).

##### Report Bugs and Improvements

If you found a bug or have a good idea for new a feature just [open a new issue at gitlab](https://gitlab.com/PancakeSoftware/openHabAI/issues/new).