Installation
OneLabeler can be installed through Docker or building from source.
- When module customization is not needed, it is recommended to install OneLabeler through Docker as it is easier.
- When module customization is needed, the developer has to build OneLabeler from source, as the customization would involving editing the source code.
Docker
Important
Before started, make sure you have installed Docker.
OneLabeler can be launched in a Docker container as follows:
git clone <link-removed-for-anonymity> OneLabeler
cd OneLabeler
docker compose up
Notice: building the docker image for the first time may take around 30 minutes depending on the machine you use.
Build from Source
OneLabeler contains four separate components, including the front end, algorithm server, database proxy server, and Jupyter API server.
When building OneLabeler from source, the four components will need to be built. Depending on the needed functionalities of OneLabeler, not all the four components need to be built.
- The front end component is required to be built, as it is needed to get the user interface part of OneLabeler function.
- The algorithm server component is recommended to be built, as it is needed to enable executing most of the algorithm modules and support compilation.
- The database proxy server component can be optionally built, to support storing the data objects and labels in a database.
- The Jupyter API server component can be optionally built, to support embedding OneLabeler in Jupyter Notebook.
Before building the components, please first clone the OneLabeler source code and enter the directory containing the source code:
git clone <link-removed-for-anonymity> OneLabeler
cd OneLabeler
The following lists the steps for building the four components:
Front End
Important
Before started, make sure you have installed Node.js.
Building the front end into a web application:
cd client
npm run build
Building the front end into a desktop application:
cd client
npm run electron:build
Algorithm Server
Important
Before started, make sure you have installed python 3.9 (python >= 3.10 is not supported!) and pipenv.
cd server
pipenv install
Database Proxy Server
Important
Before started, make sure you have installed Node.js.
cd db
npm run build:prod
Jupyter API Server
Important
Before started, make sure you have installed python 3.9 (python >= 3.10 is not supported!) and pipenv.
cd jupyter
pipenv install