API for Beautification Application
Use this application to beautify the selfie by improving the skin condition or adding makeup. The app has three different modes.
Attach an application to your dataset:
The Beautification application can be attached to the dataset, just like the Face Application.
The field algorithms_flags
should contain a values
list that describes the degree of beautification effect. The image can be beautified with only one mode"values": [ "healthy_colored" ]
as well as with two or three modes "values": [ "healthy", "healthy_colored" ]
.
By default "values":["healthy"]
NB! Please note that once you have attached an application to a dataset with the configuration described in algorithms_flags
, you cannot change them; if you would like to configure the application differently, you will need to create a new dataset and attach it to the application with another algorithms_flags
.
Upload an image to your dataset
The application supports only frontal facial images, i.e., you should specify side_id == 1
during the uploading process
Beautification options
The app has the following three beautification options:
Light healthy: apply this mode to slightly improve facial skin quality, reduce skin pigmentation, and decrease scarring (see light_healthy in the illustration below).
Healthy: apply this mode to increase skin evenness, reduce redness, and decrease skin irritation. Facial skin will look visibly younger (see healthy in the illustration below).
Healthy colored: apply this mode to combine the “Healthy” mode with lightly colored makeup (see healthy_colored in the illustration below).
Results
The results can be parsed from aux_image_type
from an API response
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