Door Open/Close Predction Inference Server Project

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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