/graduation-project-forest-fires-data-set

APLICACIÓN DE REGRESIÓN DEL ÁREA DE AFECTACIÓN DE INCENDIOS FORESTALES CON SOFTWARE LIBRE, CASO DE ESTUDIO DEL PARQUE MONTESINHO

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

proyecto-de-grado

APLICACIÓN DE REGRESIÓN DEL ÁREA DE AFECTACIÓN DE INCENDIOS FORESTALES CON SOFTWARE LIBRE, CASO DE ESTUDIO DEL PARQUE MONTESINHO

Run virtualenv

source ./venv/bin/activate

If you don't have virtualenv installed, click here by install in ubuntu.

Install dependences

pip3 install -r requirements.txt

Run neural network in jupiter

jupyter-lab # Open file jupiter_red_neuronal

Run in bash

./red_reuronal.py

Note: Inside the visor folder is the frontend of the application and its README and in the webservice folder is the backend of the application which uses the neural network.

Run backend

Requirements

  • python 3.x
  • pip v3

Inside the folder webservice run the next command

Install dependences

pip3 install -r requirements.txt

Run server

./manage.py runserver

or run docker compose into the folder webservice

docker-compose up --build

Run Frontend

Inside the folder visor run the next command

Requirements

  • node v10.x.x
  • npm v6.x.x

Install dependences

npm install

Run server

npm start

Navigate to http://localhost:4200/. in your browser of choice.

or run docker compose into the folder visor

docker-compose up --build

Navigate to http://localhost:8080/. in your browser of choice.