pydensecrf

CRF library

A Python wrapper for fully connected CRFs with Gaussian edge potentials used in computer vision and machine learning.

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

GitHub

2k stars
40 watching
417 forks
Language: C++
last commit: 10 months ago
Linked from 1 awesome list

computer-visioncrfcythoneigenmachine-learningpairwise-potentialsunary-potentials

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
bobluppes/graaf A lightweight C++ graph library designed to simplify graph-related tasks and provide general-purpose graph algorithms 187
marvinteichmann/convcrf An implementation of a convolutional Conditional Random Field model for semantic segmentation tasks. 564
scrapinghub/python-crfsuite A Python binding to CRFsuite 771
muyang0320/tensorflow-deeplab-resnet-crf An implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation 18
kaiyangzhou/dassl.pytorch A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. 1,236
luispedro/mahotas A library of fast computer vision algorithms implemented in C++ for speed, operating over numpy arrays. 855
openseg-group/openseg.pytorch Provides a PyTorch implementation of several computer vision tasks including object detection, segmentation and parsing. 1,191
martinkersner/train-crf-rnn Trains a CRF-RNN model for semantic image segmentation using the PASCAL VOC dataset. 199
scicloj/scicloj.ml.crf A plugin for scicloj.ml providing Named Entity Recognition (NER) functionality using Stanford's CRF-NER model. 0
lumiguide/haskell-opencv A Haskell library providing direct access to OpenCV's C++ API for image processing and computer vision tasks 154
sadeepj/crfasrnn_keras This repository provides a Keras/Tensorflow implementation of Conditional Random Fields as Recurrent Neural Networks for semantic image segmentation. 603
teamhg-memex/sklearn-crfsuite A Python wrapper around CRFsuite, providing an interface similar to scikit-learn. 425
soumith/cvpr2015 An introduction to deep learning for computer vision using the Torch framework 869
liyuanlucasliu/lm-lstm-crf A PyTorch-based tool for sequence labeling using a combination of CRF and LSTM models to capture label dependencies and leverage contextualized representations. 846
gitcvfb/cvr Reconstructs high-quality video frames from two adjacent rolling shutter camera frames 31