7203 Open source projects that are alternatives of or similar to Multiclass Semantic Segmentation Camvid

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

Segmentation models with pretrained backbones. PyTorch.

Tensorflow implementation : U-net and FCN with global convolution

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

High-performance Vision library in Python. Scale your research, not boilerplate.

Catalyst.Segmentation

End-to-end image segmentation kit based on PaddlePaddle.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

常用的语义分割架构结构综述以及代码复现

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Open solution to the TGS Salt Identification Challenge

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

PyTorch extensions for fast R&D prototyping and Kaggle farming

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

TFslim based semantic segmentation models, modular&extensible boutique design

Develop production ready deep learning code, deploy it and scale it

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

An awesome semantic segmentation model that runs in real time

Open solution to the Data Science Bowl 2018

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

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

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

keras implementation of unet plus plus

unet for image segmentation

BCDU-Net : Medical Image Segmentation

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

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CRF-RNN Keras/Tensorflow version

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Project for Digital Image Processing

RETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object

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Multi-platform, free open source software for visualization and image computing.

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

A Kitti Road Segmentation model implemented in tensorflow.

This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.