TF Hub Wrapper
This package contains functions to properly load and process images for input to Google's TensorFlow Hub v2 model for fast arbitrary image style transfer and obtain a style-transferred output image.
Usage:
First, install the package with pip:
pip install tfhub-styletransfer-wrapper
Then import the package:
from tfhub_styletransfer_wrapper import StyleHub
And call the hub evaluation function:
stylehub = StyleHub('CPU')
stylehub.load_content(content_image_filename, 512)
stylehub.load_style(style_image_filename, 256)
stylized_image = stylehub.evaluate(True)
This will "re-draw" the input image specified by "input_image.jpg" in a style similar to that found in the image
specified by "style_image.jpg".
Note that while different style sizes can be used, the TensorFlow Hub v2 model
was trained on 256x256 images, so increasing the style_size parameter any higher than 256 is not recommended.
