536 Open source projects that are alternatives of or similar to Fusionseg

PyTorch extensions for fast R&D prototyping and Kaggle farming

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

keras implementation of unet plus plus

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

Prostate MR Image Segmentation 2012

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.)

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

Segmentation models with pretrained backbones. PyTorch.

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

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

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

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

Research Pipeline for image masking/segmentation in Keras

Catalyst.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

3DUNet implemented with pytorch

20x Real-time superpixel SLIC Implementation with CPU

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

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

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

《深度学习与计算机视觉》配套代码

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Automatic detection of plant diseases

Patch-based 3D U-Net for brain tumor segmentation

The code includes all the file that you need in the training stage for FCN

PyTorch Implementation of some RGBD Semantic Segmentation models.

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

Implementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch

C++ implementation pool for computer vision R&D projects.

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

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

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Source code for an ACL2016 paper of Chinese word segmentation

Hand detection software built with OpenCV.

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

Pointwise Rotation-Invariant Network (AAAI 2020)

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Annotation of ECG signals using deep learning, tensorflow’ Keras

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

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Unsupervised instance segmentation via active robot interaction

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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

Tensorflow implementation : U-net and FCN with global convolution

A place for the development version of the changepoint package on CRAN.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty