While it may sound normal, this method is very useful for cameras and Google uses it for its Pixel portrait mode. The result was bokeh-style images, blurring the background but the subject was still clear.
The iPhone itself made the technology popular, but it should be noted that Apple uses two lenses to create a portrait effect, while Google uses only one. (And the portrait mode of Apple or Google is better, readers should judge for themselves).
According to the explanation of software engineer Google Liang-Chieh CHen and Yukun Zhu, image partitioning has improved rapidly thanks to the flourishing of deep learning, reaching 'unimaginable accuracy in the past 5 years'. . Google hopes to share widely with 'other groups in the industry to continue to improve' the work they have done.
Bringing such software to the community will help application developers when they need image partitioning technology, and catch up with Google.
https://github.com/tensorflow/models/tree/master/research/deeplab
See more: