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
Youtube Demo: https://www.youtube.com/watch?v=5iQSGL7ebXE
I. Install and run
-
Requirements: Python >= 3.8
-
Recommended: Miniconda/Anaconda https://docs.conda.io/en/latest/miniconda.html
-
Create environment:
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
Project details
Release history Release notifications | RSS feed
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)
Built Distribution
anylabeling-0.1.6-py3-none-any.whl
(693.5 kB
view details)
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0a8c6e1851eafbfaaf10ea4c8778a999fee3ce615b557ec092e918adfe83e58b |
|
MD5 | c558796a8848ef7bc84f04795c9c214a |
|
BLAKE2b-256 | 882a83d99480f11c4193f0dc8410bc41fcf1552b2106a7c1c98fe3569f4130e3 |
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | eed75de0a44a35999aadaf9205b751a550d668bbb7a66c579f345c10c7b492c4 |
|
MD5 | 586bd4d1333842e89cd0a2d968d9f8ff |
|
BLAKE2b-256 | bfba5c6588910127e8013c66f3753505cf0c0bbe7b13512e9ae5a459e5b995b0 |