159 Open source projects that are alternatives of or similar to Active Contour Model Python

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

Implementation of Machine Learning Algorithms

CVPR 2021 论文和开源项目合集

Semantic image segmentation in Tensorflow

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

Cool Vision projects

常用的语义分割架构结构综述以及代码复现

📚 记录一些自己读过的论文与笔记

Medical image processing in Python

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

Code for meta-learning initializations for image segmentation

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

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

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

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

Deep Learning for Computer Vision (CommE 5052) in NTU

Catalyst.Segmentation

Research Pipeline for image masking/segmentation in Keras

U-Net: Convolutional Networks for Biomedical Image Segmentation

TrackNet for badminton tracking using tensorflow2

CRF-RNN Keras/Tensorflow version

Image Processing techniques using OpenCV and Python.

Neural networks training pipeline based on PyTorch

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Research internship - Image segmentation by superpixels based on PyTorch

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

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

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

TernausNetV2: Fully Convolutional Network for Instance Segmentation

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

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Implementation of Uformer, Attention-based Unet, in Pytorch

Javascript image annotation tool based on image segmentation.

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

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

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

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

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

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

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

Fashion item segmentation with deep learning

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.)

Skeletonize densely labeled 3D image segmentations with TEASAR.

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

U-Net: Convolutional Networks for Image Segmentation by TensorFlow

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

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

Winning solution for the Kaggle TGS Salt Identification Challenge.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Perform image segmentation and background removal in javascript using superpixes

Segmentation models with pretrained backbones. PyTorch.

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

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

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

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

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