Skip to content

Latest commit

 

History

History
66 lines (46 loc) · 2.21 KB

README.md

File metadata and controls

66 lines (46 loc) · 2.21 KB
Raw

Labelfun

Labelfun is a web tool for computer vision annotation. It supports creating datasets for image classification, image object detection and video object detection.

screenshot

On Labelfun, you can:

  • Upload image or videos and create annotation tasks
  • Label images and videos right in your browser
  • Review new annotations
  • Download annotations

Development

Server

  1. Create server/.flaskenv with the content below:

    FLASK_APP=labelfun
FLASK_ENV=development

  2. Provide these environment variables in server/.env in the format of KEY=value:

    Key Usage
    QINIU_ACCESS_KEY The access key of your Qiniu Cloud account
    QINIU_SECRET_KEY The secret key of your Qiniu Cloud account
    QINIU_BUCKET_DOMAIN The domain name for you Qiniu Object Storage bucket
    QINIU_BUCKET_NAME The name of your Qiniu Object Storage bucket
    INVITATION_CODE The invitation code for a new account
    INVITATION_CODE_ADMIN The invitation code for an admin account
    EXPORT_DIRECTORY Where exported zip files are saved on the server
    LABELFUN_DATABASE_URL The MySQL database URL (use mysqldb)

  3. Under server/:

    $ python -m venv env

> env\Scripts\activate  # Windows
$ . env/bin/activate    # Linux / macOS

(env) $ pip install -r requirements.txt
(env) $ flask fakedb    # Initializes database
(env) $ flask run

Client

  1. Provide these environment variables in client/.env or client/.env.development or client/.env.production:

    Key Usage
    VUE_APP_API Where API requests are sent
    VUE_APP_QINIU_BUCKET_DOMAIN The domain name for you Qiniu Object Storage bucket

  2. Under client/:

    npm install
npm run serve