159 Open source projects that are alternatives of or similar to Fast Slic

A curated list of awesome links and software libraries that are useful for robots.

Medical image processing in Python

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

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Semantic image segmentation in Tensorflow

Model for document segmentation trained on the midv-500-models dataset.

CVPR 2021 论文和开源项目合集

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

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

CRF-RNN Keras/Tensorflow version

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

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

Keras package for region-based convolutional neural networks (RCNNs)

Code for the Lovász-Softmax loss (CVPR 2018)

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

Deploy a Deep Learning Powered "Magic Cropping Tool" using Pre-Trained Open Source Models

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Neural networks training pipeline based on PyTorch

Catalyst.Segmentation

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Tensorflow implement of U-Net

some loss functions of image segmentation

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

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.)

Implementation of Uformer, Attention-based Unet, in Pytorch

White blood cell (WBC) image datasets

Perform image segmentation and background removal in javascript using superpixes

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

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

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

TernausNetV2: Fully Convolutional Network for Instance Segmentation

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

Javascript image annotation tool based on image segmentation.

The python code of Chan-Vese model and RSF model for image segmentation

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

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

PyTorch implementation of UNet++ (Nested U-Net).

PyTorch extensions for fast R&D prototyping and Kaggle farming

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

SegNet-like network implemented in TensorFlow to use for segmenting aerial images

Winning solution for the Kaggle TGS Salt Identification Challenge.

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Segmentation models with pretrained backbones. PyTorch.

Realtime Image Segmentation on Android

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Implementation of FCN (8/16/32) in Tensorflow. 🌀 在TensorFlow框架下实现 FCN (全卷积神经网络) 。

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.

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Sky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/

📚 A collection of papers about Referring Image Segmentation.

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Full web grabcut example using opencvjs

常用的语义分割架构结构综述以及代码复现