A few weeks ago, we received a new ticket: “Users want to be able to apply filters to their pictures”, yes, something like Instagram does. We immediately thought about the Lightroom API, but after some research, we came to the conclusion that it doesn’t quite meet our needs. We were searching for something like a library, where we can just load the image, apply the filters and then save the new image with the filters applied, since we couldn’t find it we decided to build one.
FImage is a Python module to apply and create multiple filters to images, it exposes an API that you can use for applying the different color transformations to the images. It works by converting the image to an RGB matrix and applying different math formulas to it. We used NumPy for all the matrix operations since it is faster and optimized, and Pillow for handling the loading and saving of the images.
How to use it?
First, we need to install it, for this you need to be using Python 3.6 or greater to be able to use FImage.
pip install fimage
And for these examples, I’m gonna use this picture to apply it filters:
Applying a simple filter
Create a file
from fimage import FImage from fimage.filters import Sepia def main(): # replace 'my_picture.jpg' with the path to your image image = FImage('my_picture.jpg') # apply the Sepia filter to the image image.apply(Sepia(90)) # save the image with the applied filter image.save('my_picture_sepia.jpg') if __name__ == "__main__": main()
Now, just run it :
And this is how the new image
my_picture_sepia.jpg looks like after the filter was applied.
Applying multiple filters
FImage offers more filters besides the Sepia one, even you can combine multiples filters to give a better look to your picture.
Modify the file
app.py to import more filters from FImage
from fimage import FImage from fimage.filters import Contrast, Brightness, Saturation def main(): image = FImage('my_picture.jpg') # apply the mutiple filters to the image image.apply( Saturation(20), Contrast(25), Brightness(15) ) # save the image with the applied filter image.save('my_picture_mixed.jpg') if __name__ == "__main__": main()
We run it by
And our new
my_picture_mixed.jpg looks like
The order in which the filters are passed to the
apply function matters, this is because the filters are applied sequentially, so the next filter will be applied over the resultant image from the previous one.
Presets are just the combinations of multiple filters with already defined adjustment values.
Let’s change our
app.py one more time to use the Presets
from fimage import FImage from fimage.presets import SinCity def main(): # replace 'my_picture.jpg' with the path to your image image = FImage('my_picture.jpg') # apply the SinCity preset to the image image.apply(SinCity()) # save the image with the applied preset image.save('my_picture_sincity.jpg') if __name__ == "__main__": main()
After we run it, we get our new
If you like the look your picture got after testing different filters and want to store this combination for applying it to more pictures, you can create your own Preset by just extending the
Preset Class and specifying these filters and their adjust values in it.
app.py let’s do
from fimage import FImage from fimage.presets import Preset from fimage.filters import Contrast, Brightness, Saturation # Create my custom preset and specify the filters to apply class MyOwnPreset(Preset): transformations = [ Contrast(30), Saturation(50), Brightness(10), ] def main(): # replace 'my_picture.jpg' with the path to your image image = FImage('my_picture.jpg') # apply MyOwnPreset to the image image.apply(MyOwnPreset()) # save the image with the applied preset image.save('my_picture_custom.jpg') if __name__ == "__main__": main()
This is basic usage of FImage, we are still developing it, and it would be really great any feedback or contribution you have.
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Top comments (5)
What advantages does your library provide over imagemagick?
How does it compare speed-wise?
FImage is a pure Python library and it allows you to create and even modify some of the filters ( I'm not sure if you can do this with ImageMagick).
About the speed, I will need to do some tests, in average FImage lasts around one second applying a filter, this depends on the size of the image as well.
If you're using numPy, you're already using c libraries and not Pure Python. Equivalent to using one of the python based shims built around libmagic.