180 Open source projects that are alternatives of or similar to Markov-Random-Field-Project

Video Object Segmentation

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

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

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

Streaming over lightweight data transformations

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

A paper list of RGBD semantic segmentation (processing)

Test Time image Augmentation (TTA) wrapper for Keras model.

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

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

Generic U-Net Tensorflow implementation for image segmentation

Accelerated deep learning R&D

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

DICOM Image Segmentation with CNNs in Tensorflow

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

20x Real-time superpixel SLIC Implementation with CPU

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

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

Artificial Intelligence Learning Notes.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

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

Deeplab for semantic segmentation tasks

keras implementation of unet plus plus

TensorFlow implementation of DeepMask and SharpMask

Generic Foreground Segmentation in Images

Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)

Page to PAGE Layout Analysis Tool

A service to auto-generate masks for image segmentation

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

It is a Java implementation of underwater images and videos enhancement by fusion

Open solution to the TGS Salt Identification Challenge

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

Image segmentation - general superpixel segmentation & center detection & region growing

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Lung segmentation for chest X-Ray images

Automatic detection of plant diseases

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

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

A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]

📚 A collection of papers about Referring Image Segmentation.

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

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

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

The hottest High Dynamic Range (HDR) Library

An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

video stabilization: stabilize the videos which is taken from wavering camera. Image mosaicing: stitches multiple, overlapping snapshot images of a video together in order to produce one large image.

MATBOX is an open-source MATLAB toolbox dedicated to microstructure analsyis of porous/heterogeneous materials

Separating Normalizing Flows code from Pyro and improving API

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE