Science Score: 44.0%

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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
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  • Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary
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Repository

Basic Info
  • Host: GitHub
  • Owner: StevenCJ1
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 28.2 MB
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  • Watchers: 1
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Created about 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme Funding License Citation

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

  1. 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

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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