keypoint_labelme
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.8%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: mrtranducdung
- License: other
- Language: Python
- Default Branch: main
- Size: 26.1 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Funding
License
Citation
README.md
Description
This is a modified verion of Labelme which permit label keypoint quickly with pre-defined class
Requirements
- Ubuntu / macOS / Windows
- Python3
- PyQt5 / PySide2
Installation
There are options:
- Platform agnostic installation: Anaconda
- Platform specific installation: Ubuntu, macOS, Windows
- Pre-build binaries from the release section
Anaconda
clone the repo, create anaconda environment, then run below:
```bash pip install -e .
```
Usage
bash
labelme --config [path to con file]
- open the image folder
- Ctrl+N for create new point
- E for modify the existing point
- Left click, right click, middle click to create new point for coresponding class that specify in config file
- Ctrl + Left click, right click, middle click to create new point for coresponding class that specify in config file
- Ctrl + Z for undo
Acknowledgement
This repo is the modified version of https://github.com/wkentaro/labelme
Owner
- Name: mrtranducdung
- Login: mrtranducdung
- Kind: user
- Repositories: 1
- Profile: https://github.com/mrtranducdung
Ph.D. degree in robotics. Experience in implementing AI, machine learning, Deep Learning, and Computer Vision for robot applications such as 3D semantic mapping
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Wada" given-names: "Kentaro" orcid: "https://orcid.org/0000-0002-6347-5156" title: "Labelme: Image Polygonal Annotation with Python" doi: 10.5281/zenodo.5711226 url: "https://github.com/wkentaro/labelme" license: GPL-3