PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

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

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

DeepLabv3+ built in TensorFlow

常用的语义分割架构结构综述以及代码复现

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Real-time portrait segmentation for mobile devices

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)

DeepLab resnet v2 model in pytorch

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

Remotes Sensing Semantic Segmentation

DeepLabv3 built in TensorFlow

PyTorch implementation of DeepLabv3

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Google DeepLab V3 for Image Semantic Segmentation

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

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

Segmentation realize Deeperlab only segmentation part

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