Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/mauricioacosta/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
https://github.com/mauricioacosta/graduation-project-forest-fires-data-set
Last synced: about 1 month ago
JSON representation
APLICACIÓN DE REGRESIÓN DEL ÁREA DE AFECTACIÓN DE INCENDIOS FORESTALES CON SOFTWARE LIBRE, CASO DE ESTUDIO DEL PARQUE MONTESINHO
- Host: GitHub
- URL: https://github.com/mauricioacosta/graduation-project-forest-fires-data-set
- Owner: MauricioAcosta
- License: gpl-3.0
- Created: 2021-03-08T04:06:33.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-07-12T19:03:10.000Z (over 3 years ago)
- Last Synced: 2023-03-07T12:01:46.909Z (almost 2 years ago)
- Language: Jupyter Notebook
- Size: 851 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# proyecto-de-grado
APLICACIÓN DE REGRESIÓN DEL ÁREA DE AFECTACIÓN DE INCENDIOS FORESTALES CON SOFTWARE LIBRE, CASO DE ESTUDIO DEL PARQUE MONTESINHO
Run virtualenv
```bash
source ./venv/bin/activate
```
If you don't have virtualenv installed, click [here](https://gist.github.com/Geoyi/d9fab4f609e9f75941946be45000632b) by install in ubuntu.
Install dependences
```bash
pip3 install -r requirements.txt
```
Run neural network in jupiter
```bash
jupyter-lab # Open file jupiter_red_neuronal
```
Run in bash
```bash
./red_reuronal.py
```
Note: Inside the [visor](https://github.com/MauricioAcosta/graduation-project-forest-fires-data-set/tree/master/visor) folder is the frontend of the application and its README and in the [webservice](https://github.com/MauricioAcosta/graduation-project-forest-fires-data-set/tree/master/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](https://github.com/MauricioAcosta/graduation-project-forest-fires-data-set/tree/master/webservice) run the next command
Install dependences
```bash
pip3 install -r requirements.txt
```
Run server
```bash
./manage.py runserver
```
or run docker compose into the folder webservice
```bash
docker-compose up --build
```
## Run Frontend
Inside the [folder visor](https://github.com/MauricioAcosta/graduation-project-forest-fires-data-set/tree/master/visor) run the next command
Requirements
- node v10.x.x
- npm v6.x.x
Install dependences
```bash
npm install
```
Run server
```bash
npm start
```
Navigate to `http://localhost:4200/`. in your browser of choice.
or run docker compose into the folder visor
```bash
docker-compose up --build
```
Navigate to `http://localhost:8080/`. in your browser of choice.