LabelLab

LabelLab is an image analyzing and classification platform. The application should allow users to upload batches of images and classify them with labels. It will also have the features to run classifications against a trained model. LabelLab also has a user project management component as well as an image analyzing component.

Apache 2.0 Licence

Apache 2.0. See the LICENSE file for details.

User Guide

How to Setup

Clone the repository.

git clone https://github.com/scorelab/Labellab.git

Set up react server

Run npm install in labellab-client folder.

 cd labellab-client/
 npm install

Set up MongoDB Backend

Run npm install in labellab-server folder.

 cd labellab-server/
 npm install

How to Use

First you need to create a .env file in both labellab-server folder and labellab-client folder and fill it with the template provided in the file .env.example which is present in both the folders.

For client side .env file:

REACT_APP_HOST=localhost
REACT_APP_SERVER_ENVIORNMENT=dev
REACT_APP_SERVER_PORT=4000

For server side .env file:

HOST=localhost
PORT=4000

JWT_SECRET can be any word your choice. For the next 5 fields visit mlab.com and create a MongoDB database and find a URI of your database and fill the values accordingly.

Both the front-end and the back-end can be run from the labellab-server folder using the terminal:

To run both the client and server with a single command, run the following:
$ npm run dev
To run the server separately:
$ npm run server

The server can also be run using $ npm start

To run the client separately:
$ npm run client

NOTE: Before starting the server create a file named .env same as .env.example and add your OAUTH and DATABASE credentials in the file.

And use localhost:3000 to browse.

NOTE: This version is only supporting for Chrome and Firefox browser. And make sure to instal the extension -> Redux Dev Tools in chrome extension library.

How to Use (Mobile)

Run the Node server in the labellab-server directory (if not already done):

npm start

In a new terminal navigate to labellab_mobile directory.

Configure the lib/config.dart using the format provided in lib/config_example.dart.

Application needs google-services.json issue from firebase to run google sign in option.To obtain the file,

Sign in to https://console.firebase.google.com/.
Click Add Project and necessary information about the project.
Agree to the terms and click Create Project.
After creating the project, click Add Firebase to your android app.
Go to project location and open android/app/src/main/AndroidManifest.xml.Copy the package name(org.scorelab.labellab_mobile) and paste in the package name field
Get the SHA1 fingerprint by following the instruction and paste it in the SHA1 fingerprint field.
click next and download the google-services.json.
paste the file in location android/app/ folder.

Build flutter the application

flutter build apk

NOTE: Use 'ios' instead of 'apk' to build for iOS

or run the flutter application

flutter run

NOTE: A device with USB debugging enabled or virtual device is required

rohit645/LabelLab