Metadata-Version: 2.1
Name: vtracerpy
Version: 0.1.3
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
License-File: LICENSE
Summary: Python binding for vtracer. image to svg.
Requires-Python: >=3.7
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM

# vtracerpy
Python binding for [vtracer](https://github.com/visioncortex/vtracer).

[![CI](https://github.com/orange0-jp/vtracerpy/actions/workflows/CI.yml/badge.svg?branch=master)](https://github.com/orange0-jp/vtracerpy/actions/workflows/CI.yml)
[![PyPI](https://img.shields.io/pypi/v/vtracerpy)](https://pypi.org/project/vtracerpy/)
[![Downloads](https://static.pepy.tech/badge/vtracerpy)](https://pepy.tech/project/vtracerpy)

## Install
### from pypi
```bash
pip install vtracerpy
```

### from source
Install rust.
```bash
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source "$HOME/.cargo/env"
rustup -V
```
Install maturin
```bash
pip install maturin
```
### build
```
git clone https://github.com/orange0-jp/vtracerpy.git
cd vtracerpy
maturin build -i python3 --release
pip install .
```

## Usage
```python
from pathlib import Path
from vtracerpy import image_to_svg
import cv2
img = cv2.cvtColor(cv2.imread('test/mask.png'), cv2.COLOR_BGR2RGB)
result = image_to_svg(img, colormode='color')
Path("mask.svg").write_text(result, encoding="utf-8")
```

## Args
```python
def image_to_svg(image: np.ndarray,
                 colormode: str = 'color',
                 color_precision: int = 8,
                 layer_difference: int = 16,
                 hierarchical: str = 'stacked',
                 path_precision: int = 8,
                 mode: str = 'spline',
                 corner_threshold: int = 60,
                 length_threshold: float = 4.0,
                 max_iterations: int = 10,
                 splice_threshold: int = 45,
                 filter_speckle: int = 4)->str:
    """
    Convert an image to SVG format with specified parameters.

    Parameters:
    - image: (np.ndarray)The input image with shape (H,W,3) to be converted to SVG format.
    - colormode (str, optional): True color image `color` (default) or Binary image `bw`.
    - color_precision (int, optional): Number of significant bits to use in an RGB channel. Defaults to 8.
    - layer_difference (int, optional): Color difference between gradient layers. Defaults to 16.
    - hierarchical (str, optional): Hierarchical clustering. Can be `stacked` (default) or non-stacked `cutout`. Only applies to color mode.
    - path_precision (int, optional): Parameter not described in provided options. Defaults to 8.
    - mode (str, optional): Curve fitting mode. Can be `pixel`, `polygon`, `spline`. Defaults to 'spline'.
    - corner_threshold (int, optional): Minimum momentary angle (degree) to be considered a corner. Defaults to 60.
    - length_threshold (float, optional): Perform iterative subdivide smooth until all segments are shorter than this length. Defaults to 4.0.
    - max_iterations (int, optional): Parameter not described in provided options. Defaults to 10.
    - splice_threshold (int, optional): Minimum angle displacement (degree) to splice a spline. Defaults to 45.
    - filter_speckle (int, optional): Discard patches smaller than X px in size. Defaults to 4.

    Returns:
    - str: The SVG representation of the input image.
    """
```

## Development
init maturin project
```bash
maturin new --name vtracerpy --mixed -b pyo3 vtracerpy
```
build
```
maturin develop
pip install .
```

