styletx 1.0.5

Initial release with StyleTransfer

StyleTx

StyleTx is a python project that applies effects of an image to another image using machine learning.

Installation

You can install the StyleTx package using the command given below

pip3 install styletx

Requirements

Requires Python >=3.8

Required packages are specified in requirements.txt file, which you can install using

pip3 install -r requirements.txt

torch and torchvision versions in requirements.txt are CPU only, if you want to use the GPU versions that suit your hardware requirements visit this link.

Implementation

# import necessary packages
from styletx import StyleTransfer
from PIL import Image
import matlibplot.pyplot as plt

# import the images
content_image = Image.open('path/filename')
style_image = Image.open('path/filename')

# implement StyleTransfer
output_image = StyleTransfer(content_image, style_image, alpha=1, beta=10, epochs=500)

# display the results
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 10))
ax1.imshow(content_image)
ax2.imshow(output_image)
plt.show()

The above code will apply the effects of the style_image to content_image.

Inputs

content_image - a PIL object
style_image - a PIL object
alpha - a positive integer
beta - a positive integer
epochs - a positive integer

By default alpha = 1, beta = 10 and epochs = 500. You can play around these values to get desired output image.

Example

License

Resources

• The complete theory behind the StyleTransfer can be found in this link.

• https://github.com/udacity/deep-learning-v2-pytorch/tree/master/style-transfer