ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

ENet contains two subpackages: train and visualization. Train contains tools for training network using various architectures. It can be further used for visulaization of network's performance. This section is mainly for pixelwise segmentation and scene-parsing. Visualize can be used to view the performance of trained network on any video/image as an overlay.