MODNet is a matting decomposition network for sub-objective consistency(SOC) from a single input image in real-time under varying scene changes. It is designed on neural networks to be along with a self-supervised strategy and one-frame delay(OFD) to smooth portrait sequence. It is easy to implement as it's a trimap-free method and runs at 63fps.

The post MODNet – A Trimap & Green Screen free Solution For Real-time Portrait Matting appeared first on Analytics India Magazine.