labelme_plus_lime
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 (7.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: StevenCJ1
- License: other
- Language: Python
- Default Branch: main
- Size: 28.2 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
LIME with Labelme
Preparing the runtime environment
There are two ways to prepare a runtime environment, and the second is the recommended python virtual environment.
Anaconda
You need install Anaconda, then run below:
```bash
python3
conda env create --name envname --file=environments.yml conda activate lime_labelme ```
Python venv
This project can be run using python virtual environment (venv).
1. Create a Python virtual environment
bash
python -m venv labelme_lime # Make sure the Pyhton version is 3.10
2. Activate the virtual environment
Windows (CMD/PowerShell):
bash
labelme_lime\Scripts\activate
macOS/Linux (bash/zsh):
bash
source labelme_lime/bin/activate
- Install requirements.txt dependencies
bash
pip install -r requirements.txt
Usage
Before running the following command, first copy the file from .../labelme/labelme/main.py to .../labelme/main.py path. Then in .../labelme/main.py path to run the
bash
python __main__.py
How to build standalone executable
Below shows how to build the standalone executable on macOS, Linux and Windows.
```bash
Setup conda
conda create --name labelme python=3.9 conda activate labelme
Build the standalone executable
pip install . pip install 'matplotlib<3.3' pip install pyinstaller pyinstaller labelme.spec dist/labelme --version ```
Owner
- Login: StevenCJ1
- Kind: user
- Repositories: 1
- Profile: https://github.com/StevenCJ1
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
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