https://github.com/himujjal/neural_style_transfer
A Tensorflow based script for transfering art style from one painting to another with implementations in Python and JavaScript
https://github.com/himujjal/neural_style_transfer
Last synced: 2 months ago
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A Tensorflow based script for transfering art style from one painting to another with implementations in Python and JavaScript
- Host: GitHub
- URL: https://github.com/himujjal/neural_style_transfer
- Owner: Himujjal
- Created: 2019-06-20T00:35:32.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-08-11T03:20:28.000Z (almost 4 years ago)
- Last Synced: 2025-01-23T11:37:18.870Z (4 months ago)
- Size: 41 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 3
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Metadata Files:
- Readme: README.md
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README
# Neural Style Transfer in Python and JavaScript using Tensorflow
Ever wished of creating paintings like a professional. Well, Deep Learning will surely help you in that regard with the help of Neural Style Transfer
## 3rd party libraries used:
### Python:
1. Tensorflow
2. Keras
3. Numpy
4. opencv
## API:
### Javascript/TypeScript:
1. Tensorflow.JS (NodeJS + Browser)
## How to install this repo:
### Python:
1. `pip install --upgrade pip` or `python -m pip install --upgrade pip`.
2. `pip install --upgrade tensorflow keras opencv numpy jupyter`
3. `git clone https://github.com/Himujjal/neural_style_transfer`
BOOM! Its done.
### JavaScript:
1. `git clone https://github.com/Himujjal/neural_style_transfer`
2. `npm install` or `yarn install`
## How to use this repo:
### Platform Independent:
1. Put your __source image__ in the [source_image](./source_image) folder. If you have selected only one image to be processed in your program, only the first image will be used.
2. Put your __style image__ in the [style_image](./style_image) folder. Only one image will be used in this case.
### Python:
1. Open this repo's local folder in your terminal and simply run [test.py](test.py) to run the test examples.
2. For Jupyter notebook, run `jupyter notebook` and open [test.py](test.ipynb)
### JavaScript:
1. Open this repo's local folder in your terminal and simply run [test.js](test.js) to run the test examples in NodeJS.
2. To run this in browser, simply double-click [index.html](./index.html).