Popular GitHub Repositories for Deeplab

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

DeepLab v3+ model in PyTorch. Support different backbones.

DeepLab-ResNet rebuilt in TensorFlow

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

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Real-time portrait segmentation for mobile devices

DeepLab resnet v2 model in pytorch

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

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

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

Ios integrated deeplab model Implementation of the Semantic Segmentation

Unofficial implementation of MaX-DeepLab for Instance Segmentation

Real-time semantic image segmentation on mobile devices

图像分割算法deeplab_v3+，基于tensorflow，中文注释，摄像头可用