Unfiltered
Smooth Ride
Crafty Painting
Purple Pond
Sunday
Oily McOilface
import Algorithmia
input = {"images": ["_IMAGE_URL_"], "savePaths": ["_OUTPUT_URL_"], "filterName": "space_pizza"}
client = Algorithmia.client('_API_KEY_')
algo = client.algo('deeplearning/DeepFilter/0.5.3')
print algo.pipe(input)
{
"savePaths": [
"_OUTPUT_URL_"
]
}Leverage an ever-growing library of more than 2,200 algorithmic microservices via an intuitive API. We provide the tools and manage the cloud infrastructure needed to run it at scale.
Learn moreInstantly deploy your backend code as an API for public or private consumption. Every algorithm runs as it's own microservice, making each composable, interoperable, and secure.
Learn moreHave a trained machine learning or deep learning model? Turn it into a serverless microservices in minutes. We'll show you how to get started for free, and scale with ease.
Learn moreDeep Filter is an implementation of Texture Networks: Feed-forward Synthesis of Textures and Stylized Images, to create interesting and creative photo filters.
Learn more about Deep Filter with our guide to getting started with style transfer
We've open sourced our training AMI to expose the pipeline needed to train your own filters. This is the same pipeline we used with Deep Filter.
The train your own model takes approximately 26 hours end-to-end and will cost about $25 per filter using an Amazon EC2 P2 instance.
Once you're finished with the tutorial, you’ll have a custom style transfer filter to use in your app.
READ THE TUTORIAL