1107 Open source projects that are alternatives of or similar to hyperseg

TF2 implementation of PointNet for segmenting point clouds

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Some matlab code of Active Contour Model for image segmentation

Real-time face swap for PC streaming or video calls

Kidney Tumor Segmentation Challenge 2019

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

4th place solution in Baidu Autonomous Driving Lane Segmentation

Tutorials to help you build your first Swim app

The mutex watershed for image segmentation.

A list of popular deep learning models related to classification, segmentation and detection problems

DroneDeploy Machine Learning Segmentation Benchmark

TensorFlow implementation of LinkNet

A Fast and Open Source Autonomous Perception System.

The Geometry and Image-Based Bioengineering add-On for MATLAB

Redux over the wire

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Simple linear iterative clustering (SLIC) in a region of interest (ROI)

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

An HTML5 danmaku video player for real-time image processing using WebGl and Web Components.融合了webgl和web components的实时图像处理弹幕播放器

Official PyTorch implementation of SegFormer

Sequential patch-based segmentation for medical image

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

2D and 3D UNet implementation in PyTorch.

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

Paper notes in deep learning/machine learning and computer vision

Caffe: a fast open framework for deep learning.

Axon/Myelin segmentation using Deep Learning

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

[ICLR2022] official implementation of UniFormer

Brain Segmentation on MRBrains18

Implemetation of Pyramid Scene Parsing Network in Pytorch

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

A segmentation engine for Django user models

Python 3 library for analysis of neuroanatomical data

A unified environment for DNN-based automated segmentation of neuronal EM images

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

A pixel classification based multiplexed image segmentation pipeline

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

Semantic Segmentation Models in Pytorch

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

SOTA Semantic Segmentation Models in PyTorch

Road Segmentation in Satellite Aerial Images

The implementation of 3D-UNet using PyTorch

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)