Stylish
Style transfer using Deep Neural Network.
References
This implementation is based off of a combination of:
A Neural Algorithm of Artistic Style by Gatys et al. (2015)
Perceptual Losses for Real-Time Style Transfer and Super-Resolution by Johnson et al. (2016)
Instance Normalization: The Missing Ingredient for Fast Stylization by Ulyanov et al. (2017)
The project borrow some logic from Logan Engstrom’s Fast Style Transfer and Justin Johnson’s Fast Neural Style.
Documentation
Full documentation, including installation and setup guides, can be found at http://stylish.readthedocs.io/en/stable/
Metadata
Release files for stylish 0.4.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| stylish-0.4.0.tar.gz | 20.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| stylish-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.6 kB
Release files / stylish-0.4.0.tar.gz
| Download URL | stylish-0.4.0.tar.gz |
|---|---|
| Size | 20.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / stylish-0.4.0-py3-none-any.whl
| Download URL | stylish-0.4.0-py3-none-any.whl |
|---|---|
| Size | 17.8 kB |
| Tags | Python 3 |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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