# Pipeline: Style Transfer using AnimeGanV2

Authors: filip

## Overview

The pipeline is used to **animate images**. It uses the AnimeGanV2 to cartoonize the images.

## Interface

**Input Arguments:**

- img_path:
  - the input image path
  - supported types: `str`

**Pipeline Output:**

The pipeline returns a tuple `Tuple[('styled_image', numpy.ndarray)]` containing following fields:

- styled_image:
  - styled photo
  - data type: `numpy.ndarray`
  - shape: (3, x, x)
  - format: RGB
  - values: [0,1]

## How to use

1. Install [Towhee](https://github.com/towhee-io/towhee)

```bash
$ pip3 install towhee
```

> You can refer to [Getting Started with Towhee](https://towhee.io/) for more details. If you have any questions, you can [submit an issue to the towhee repository](https://github.com/towhee-io/towhee/issues).

2. Run it with Towhee

```python
>>> from towhee import pipeline

>>> img_path = 'path/to/your/image'
>>> embedding_pipeline = pipeline('filip-halt/style-transfer-animegan')
>>> embedding = embedding_pipeline(img_path)
```

## How it works

This pipeline includes one operator: [filip-halt/animegan-style-transfer](https://hub.towhee.io/filip-halt/animegan-style-transfer). This operator stylizes the image.

> Refer [Towhee architecture](https://github.com/towhee-io/towhee#towhee-architecture) for basic concepts in Towhee: pipeline, operator, dataframe.


## References
Jie Chen, Gang Liu, Xin Chen
"AnimeGAN: A Novel Lightweight GAN for Photo Animation."
ISICA 2019: Artificial Intelligence Algorithms and Applications pp 242-256, 2019.