Animating using AnimeGanV2

author: Filip Haltmayer

Description

Convert an image into an animated image using AnimeganV2.

Code Example

Load an image from path './image.png'.

Write the pipeline in simplified style:

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.