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

DeepLabv3+ built in TensorFlow

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

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DeepLab resnet v2 model 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)

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).

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Deeplab for semantic segmentation tasks