SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

Remotes Sensing Semantic Segmentation

TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).

River ice segmentation with deep learning

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.

DeepLab resnet v2 model in pytorch

Semantic segmentation models implemented in PyTorch

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Dockerized Semantic Image Segmentation service using Tensorflow, Keras, and DeepLabv3+

DeepLabv3+ built in TensorFlow

Deeplab Series Python re-implementation

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

A Full stack Semantic Segmentation project using tensorflow, deeplab and dash

Implementing DeepLab_v3 Atrous Convolutional Networks for Semantic Segmentation in NIR Images

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.