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()
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.
More examples
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Release files for tfhub-styletransfer-wrapper 1.1.3
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Source distribution (sdist)
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| tfhub-styletransfer-wrapper-1.1.3.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| tfhub_styletransfer_wrapper-1.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.5 kB
Release files / tfhub-styletransfer-wrapper-1.1.3.tar.gz
| Download URL | tfhub-styletransfer-wrapper-1.1.3.tar.gz |
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| Size | 4.2 kB |
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Release files / tfhub_styletransfer_wrapper-1.1.3-py3-none-any.whl
| Download URL | tfhub_styletransfer_wrapper-1.1.3-py3-none-any.whl |
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| Tags | Python 3 |
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