# Animating using AnimeGanV2
*author: Filip Haltmayer*

## Description

Convert an image into an animated image using [`AnimeganV2`](https://github.com/TachibanaYoshino/AnimeGANv2).


## Code Example
Load an image from path './image.png'. 

 *Write the pipeline in simplified style*:

```python
import towhee
from PIL import Image
import numpy

pipeline = towhee.glob('./image.png').image_decode.cv2().img2img_translation.animegan(model_name = 'hayao')
img = pipeline.to_list()[0]
img = numpy.transpose(img, (1,2,0))
img = Image.fromarray((img * 255).astype(numpy.uint8))
img.show()
```

## Factory Constructor

Create the operator via the following factory method

***img2img_translation.animegan(model_name = 'which anime model to use')***

Model options: 
- celeba
- facepaintv1
- facepaintv2
- hayao
- paprika
- shinkai

## Interface

Takes in a numpy rgb image in channels first. It transforms input into animated image in numpy form.


**Parameters:**

​	***model_name***: *str*

​	Which model to use for transfer.

   ***framework***: *str*

​	Which ML framework being used, for now only supports PyTorch.



**Returns**: *numpy.ndarray*

​	The new image.


## Reference

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.