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A web app to collect data on noise detection by humans on images.

Download project

git clone
cd Antoine_Internship

Run as a Docker instance


Use the following environment variables to configure the application.

Option Default value Description Server Client
PORT 5000 The port used by the started application
SERVE_CLIENT true Should the server serve client (Fully local application) ⬜️
IMAGES_PATH ./images The directory where the images are stored (absolute path if changed ⚠️) ⬜️

Configure more deeply the way the app works by modifying config.js.

Option Default value Description
apiPrefix /api The url prefix for the API
imageServedUrl /api/images The url prefix from where the images are served
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
fileNameConvention /^(.*)?_([0-9]{2,})\.(.*)$/ File name convention for images
sceneFileNameBlackList ['config', 'seuilExpe', 'extracts'] Files to ignore in scenes
extractsDirName extracts Name of the directory containing extracts

Run server + client


PORT=8080 SERVE_CLIENT=true IMAGE_PATH=/var/images docker-compose up


SET IMAGE_PATH=C:\my\images
docker-compose up

Run server only


SERVE_CLIENT=false docker-compose up


docker-compose up

Run client only

docker-compose -f docker-compose.frontapp_only.yml up


New version Docker build

When using a new version of the project, you need to re-build the application with Docker.

# Server / Server + client versions
docker-compose build

# Client only version
docker-compose -f docker-compose.frontapp_only.yml build

Using Windows

When using Windows, it may happen that you can't properly run the containers because of Windows's path system being different. To circumvant this problem, you can do the following steps.

  1. On Command Line: "set COMPOSE_CONVERT_WINDOWS_PATHS=1";
  2. Restart Docker for Windows;
  3. Go to Docker for Windows settings > Shared Drives > Reset credentials > select drive > Apply;
  4. Reopen Command Line;
  5. Kill the Containers;
  6. Rerun the Containers.

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.


export NODE_ENV=production


SET NODE_ENV=production


Run the server

yarn run server:start

Run the server with hot-reload for development

yarn run server:dev

Automatically fix the API code syntax with ESLint

yarn run server:lint


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

Automated deployment

The app can be automatically deployed when a push event is sent to the master branch using Gogs. Open a port to the web and start webhook_deploy_gogs.js.

WEBHOOK_SECRET=your_webhook_secret WEBHOOK_PORT=5000 SERVE_CLIENT=true PORT=8080 node webhook_deploy_gogs.js

You can pass any parameters to the script, they will be passed to the Docker instance. The following are required.

Option Description
WEBHOOK_SECRET The secret set on Gogs to verify the identity
WEBHOOK_PORT The port the script is listening to


The MIT license