Skip to main content

Effortless data labeling with AI support

Project description

🌟 AnyLabeling 🌟

Effortless data labeling with AI support from YOLO and Segment Anything!

AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling

PyPI license open issues Pypi Downloads

AnyLabeling

Youtube Demo: https://www.youtube.com/watch?v=5iQSGL7ebXE

I. Install and run

conda create -n anylabeling python=3.8
conda activate anylabeling
  • (For macOS only) Install PyQt5 using Conda:
conda install -c conda-forge pyqt==5.15.7
  • Install anylabeling:
pip install anylabeling
  • Run app:
anylabeling

Or

python -m anylabeling.app

II. Development

  • Generate resources:
pyrcc5 -o anylabeling/resources/resources.py anylabeling/resources/resources.qrc
  • Run app:
python anylabeling/app.py

III. Build executable

  • Install PyInstaller:
pip install -r requirements-dev.txt
  • Build:
bash build_executable.sh
  • Check the outputs in: dist/.

IV. References

  • Labeling UI built with ideas and components from LabelImg, labelme.
  • Icons: Flat Icons

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anylabeling-0.1.6.tar.gz (658.6 kB view details)

Uploaded Source

Built Distribution

anylabeling-0.1.6-py3-none-any.whl (693.5 kB view details)

Uploaded Python 3

File details

Details for the file anylabeling-0.1.6.tar.gz.

File metadata

  • Download URL: anylabeling-0.1.6.tar.gz
  • Upload date:
  • Size: 658.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for anylabeling-0.1.6.tar.gz
Algorithm Hash digest
SHA256 0a8c6e1851eafbfaaf10ea4c8778a999fee3ce615b557ec092e918adfe83e58b
MD5 c558796a8848ef7bc84f04795c9c214a
BLAKE2b-256 882a83d99480f11c4193f0dc8410bc41fcf1552b2106a7c1c98fe3569f4130e3

See more details on using hashes here.

File details

Details for the file anylabeling-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: anylabeling-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 693.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for anylabeling-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 eed75de0a44a35999aadaf9205b751a550d668bbb7a66c579f345c10c7b492c4
MD5 586bd4d1333842e89cd0a2d968d9f8ff
BLAKE2b-256 bfba5c6588910127e8013c66f3753505cf0c0bbe7b13512e9ae5a459e5b995b0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page