There are 4 repositories under deeplab topic.
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
DeepLabv3+ built in TensorFlow
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Virtual Video Device for Background Replacement with Deep Semantic Segmentation
DeepLab resnet v2 model in pytorch
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)
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
SSSegmentation: An Open Source Strongly Supervised Semantic Segmentation Toolbox Based on PyTorch.
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
Segmentation realize Deeperlab only segmentation part
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
Google DeepLab V3 for Image Semantic Segmentation
Unofficial implementation of MaX-DeepLab for Instance Segmentation
This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.
deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
The package is common Slam combined with DeepLab-V2-CRF Library.
Deeplab for semantic segmentation tasks
Realtime Image Segmentation on Android
All version of deeplab implemented in Pytorch
My Implementation of the deeplab_v1 (known as deeplab large fov)
Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
Tensorflow-lite Deeplab Real Time Segmentation on iOS with OpenCV
Deeplab for semantic segmentation implemented by MXNet
indoor segmentation - indoor semantic segmentation Android using Deeplabv3 MobileNetV2 trained with ADE20K dataset
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.
Examples of Tensorflow Lite on Android
Segmentation framework implemented in tensorflow 2 (tf.keras).