159 Open source projects that are alternatives of or similar to Tensorflow Deeplab_v3_plus

Medical image processing in Python

Semantic image segmentation in Tensorflow

常用的语义分割架构结构综述以及代码复现

CVPR 2021 论文和开源项目合集

Cool Vision projects

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

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

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

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

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

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

Implementation of Machine Learning Algorithms

Catalyst.Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Neural networks training pipeline based on PyTorch

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

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

Tensorflow implement of U-Net

some loss functions of image segmentation

CRF-RNN Keras/Tensorflow version

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

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

Deep Learning for Computer Vision (CommE 5052) in NTU

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

Javascript image annotation tool based on image segmentation.

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

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

White blood cell (WBC) image datasets

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

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

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

Realtime Image Segmentation on Android

Winning solution for the Kaggle TGS Salt Identification Challenge.

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

Segmentation models with pretrained backbones. PyTorch.

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

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

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.

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

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

Implementation of Uformer, Attention-based Unet, in Pytorch

Perform image segmentation and background removal in javascript using superpixes

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

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.

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

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

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

PyTorch extensions for fast R&D prototyping and Kaggle farming

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Code for the Lovász-Softmax loss (CVPR 2018)

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

Full web grabcut example using opencvjs

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

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