deeppyer
deeppyer is an image deepfryer written in Python using Pillow and OpenCV.
NOTE: This requires at least Python v3.6 in order to run.
How to use
You can either use deeppyer as a module, or straight from the command line.
Command line usage
$ 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.
Program usage
from PIL import Image
import deeppyer, asyncio
async def main():
img = Image.open('./foo.jpg')
img = await deeppyer.deepfry(img)
img.save('./bar.jpg')
loop = asyncio.get_event_loop()
loop.run_until_complete(main())API Documentation
async deepfry(img: Image, type=DeepfryTypes.RED, *, flares: bool = True)
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.
Why?
¯\_(ツ)_/¯ Why not
Contributing
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.
Testing
Simply run tests/test.py and make sure that all the images output properly.