Door Open/Close Predction Inference Server Project

The project aims to develop and distribute an open source deeplearning inference API server project and associated developer guide.

Server

Intelligence

v
July 17, 2019

BSD 3-Clause License
Copyright (c) 2018, KETI All rights reserved Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Git Hub Project Link
None

 

Gub Hub Release Direct DownLoad Link
Direct Link Revision Release Date
Get Zip v1.0 Dec 2018

Door Open/Close Predction Inference Server Project


Introduction

  • Door Open/Close Prediction ML Inference Server project is a Keras based Inference API server.
  • The project aims to develop and distribute an open source deeplearning inference API server project and associated developer guide.
  • It is working base on Python 3.6 and Tensorflow.

Installation

  • This application is developed with Python 3.6 and Flask API
  • Unzip the .zip file and open Terminal in this folder.
  •  Check your python version 3.6  :python --version
  •  Install all dependancy libraries  :pip install -r requirements.txt

Running

  • Run the server : python dl_inference.py
  • Run Test.sh  :source test.sh
  • Make sure the result is 0.604755
  • This result shows a probability (%) of door being closed
  • Input: PM10, PM2.5, CO2, VoCS, Temp, Humidity, Noise (int) * 10 minutes

Dependancy Libraries (Python Pypi)

  • keras
  • flask
  • tensorflow
  • h5py