deeppyer is an image deepfryer written in Python using Pillow and OpenCV.
NOTE: This requires at least Python v3.6 in order to run.
You can either use deeppyer as a module, or straight from the command line.
$ python deeppyer.py -h
usage: deeppyer.py [-h] [-v] [-o OUTPUT] [-f] FILE
Deepfry an image.
positional arguments:
FILE File to deepfry.
optional arguments:
-h, --help show this help message and exit
-v, --version Display program version.
-o OUTPUT, --output OUTPUT
Filename to output to.
-f, --flares Try and detected faces for adding lens flares.
By default, flares will try to be added to the image, unless you're using the CLI script, in which case it is off by default.
from PIL import Image
import deeppyer, asyncio
def main():
img = Image.open('./foo.jpg')
img = deeppyer.deepfry(img)
img.save('./bar.jpg')
if __name__ == "__main__":
main()
Deepfry a given image.
Arguments
- img (PIL.Image) - Image to apply the deepfry effect on.
- [type] (DeepfryTypes) - Colours to apply on the image.
- *[flares] (bool) - Whether or not to try and detect faces for applying lens flares.
Returns:
PIL.Image
- Deepfried image.
¯\_(ツ)_/¯ Why not
If you wish to contribute something to this, go ahead! Just please make sure to format it with flake8 + isort, and that the test(s) pass fine.
Simply run tests/test.py
and make sure that all the images output properly.