semvec/pypi-packages huggingface dataset:
labelme-toolkit 1.3.3
Labelme Toolkit
License: MIT
Requires Python: >=3.9

<div align="center">
  <h1>Labelme Toolkit</h1>
  <p>Tools to streamline dataset creation with Labelme.</p>
</div>

<br/><br/>

<i>Labelme Toolkit</i> is a set of tools to streamline your dataset creation.

<i>Labelme Toolkit</i> provides:

1. **Automation** - Annotation by AI, data manipulation, validation, and export;
1. **Batch processing** - Process multiple files at once;
1. **Seamless integration with [Labelme](https://github.com/labelmeai/labelme)** - Compatible annotation format.

## Installation

```bash
pip install labelme-toolkit
```

## Usage

```bash
labelmetk <COMMAND> [OPTIONS]
```

### Commands

- `ai-annotate-rectangles`:  Annotate rectangle from text by AI.
- `extract-image`:           Extract image from a JSON file.
- `install-pro`:             Install Toolkit Pro.
- `json-to-mask`:            Convert a Labelme JSON file to a mask.
- `json-to-visualization`:   Convert a Labelme JSON file to a visualization.
- `list-labels`:             List unique labels in the JSON files.

For Pro version, check [Labelme Pro](https://labelme.io/pro).