Synthesis Image Noise Detection on Distributed Data : A web app to collect data on noise detection by humans on images. https://diran.univ-littoral.fr/doc

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README.md

Antoine_Internship

Travaux développés par Antoine dans le cadre de son stage de DUT2.

Run as a Docker instance

Run server + client

PORT=8080 SERVE_CLIENT=true docker-compose up

Run only the server

PORT=8080 SERVE_CLIENT=false docker-compose up

Run only the client

PORT=8080 docker-compose -f docker-compose.frontapp_only.yml up

To change the port the server is running on set the environnements variables if necessary (see project setup part).

Run on the file system

Project setup

Install project's dependencies.

yarn install

If this is a production build, set the NODE_ENV environment variable to production to enhance performance.

On Linux hosts :

export NODE_ENV=production

On Windows hosts :

SET NODE_ENV=production

Configuration

Configure the project by modifying config.js.

Configuration options

Option Default value Description
apiPrefix /api The url prefix for the API
serverPort 5000 The port used by the server
imagesPath images The directory where the images are stored
serveClient true Should the server serve client files from the /dist directory

API

Run the server

yarn run api:start

Run the server with hot-reload for development

yarn run api:dev

Automatically fix the API code syntax with ESLint

yarn run api:lint

Client

Compile and minify for production

Files will be built to the dist/ directory.

yarn run app:build

Run a hot-reload server for client development

yarn run app:dev

Automatically fix the client code syntax with ESLint

yarn run app:lint

License

The MIT license