SegNet is a model of semantic segmentation based on Fully Comvolutional Network.
This repository contains the implementation of learning and testing in keras and tensorflow.
Also included is a custom layer implementation of index pooling, a new property of segnet.
architecture
encoder decoder architecture
fully convolutional network
indices pooling
description
This repository is SegNet architecture for Semantic Segmentation.
The repository of other people's segmentation, pooling with indices not
implemented.But In this repository we implemented pooling layer and
unpooling layer with indices at MyLayers.py.
Segnet architecture is early Semantic Segmentation model,so acccuracy is low but fast.
In the future, we plan to implement models with high accuracy.(UNet,PSPNet,Pix2Pix ect..)