We’re building a face detect model with DL4J, and have set up the FaceNet example from the Convolutional Networks tutorial.
We’re quite new to DL4j, and have only figured out how to use the model as a classifier (i.e. this photo contains a face).
We’d like to be able to crop a face within a larger photo (segmentation), and compare two faces to get a similarity score.
Is it possible to use the CNN (linked above) for segmentation, or will it require different architecture, or training on image segments?
Any advice will be appreciated. Thanks in advance!