Discover ducha-aiki/lsuv Open Source project

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

735

affnet

Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation

238

pydegensac

PyTorch implementation of SIFT descriptor

226

pytorch-sift

Diffusion on manifolds for image retrieval

158

manifold-diffusion

Reference caffe implementation of LSUV initialization

122

LSUVinit

Fast and accurate python RANSAC with LO, LAF-check

112

pyransac

MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.

mods

ransac-tutorial-2020-data

Starter kit for the CVPR 2020 RANSAC tutorial benchmark

MAGSAC: marginalizing sample consensus, python version

pymagsac

Simple implementation of the LSUV initialization in keras

LSUV-keras

fast.ai starter kit for Google Landmark Retrieval 2019 challenge

google-retrieval-challenge-2019-fastai-starter

Code for "Benchmarking Classic and Learned Navigation in Complex 3D Environments" paper

navigation-benchmark

Simple implementation of the LSUV initialization in PyTorch

LSUV-pytorch

MODS with external deep descriptors/detectors

mods-light-zmq

Solution to Whale Identification Challenge 2018

whale-identification-2018

Function for local patch extraction from OpenCV keypoints with proper bluring

extract_patches

Numpy implementation of SIFT descriptor

numpy-sift

Comparison of the matching strategies for local feature descriptor

matching-strategies-comparison

Conversions between kornia and other computer vision libraries formats

kornia_moons

PyTorch implementation of Hessian-Affine local feature detector

hesaff-pytorch

Re-implementation of local descriptor HardNet training in fasta2+kornia

hardnet-in-fastai2-and-kornia

Realization of the atan2 approximations faster than standard function.

fast_atan2

Tutorial on how to create submission to Image Matching Challenge 2021

imc2021-sample-kornia-submission

Blog about wide baseline stereo and local features

wide-baseline-stereo-blog

C++ header-only lib for extracting local patches

cpp-extract-patches

Simple function for local patch extraction from OpenCV keypoints.

extract-patches-old

Simple tool for labelling the correspondences

pixelstitch

Simple jupyter notebook for 3D reconstruction using kornia and pycolmap

imc2023-kornia-starter-pack

New testing protocol for learning local patch descriptors on Brown Phototour dataset

brown_phototour_revisited

Computer vision labs for Vision and Sports Summer School 2022

vs3-cnn-labs

W1BS local patch descriptors benchmark

wxbs-descriptors-benchmark

mpv-templates-backup

keras-sift

Some examples of how one can use local features

local_feature_tutorial

imagewoofv2-fastv2-maxpoolblur

Creates caffe lmdb from bunch of dirs with images. Clean-up, check, resize included

caffe-preprocessing-scripts

Shell

wxbs-benchmark

Code for benchmarking image matchers on WxBS dataset/

Scripts for creating benchmark data for IMC 2021 competition

creating-data-for-imc

ucn-pytorch

Helper scripts for participation in http://cvg.dsi.unifi.it/cvg/index.php?id=caip-2019-contest

wisv2019-competition

Simple jupyter notebook to plot from John Hopkins data

zeromqransac

COVID19-confirmed-cases-plot

Brown patch matching benchmark revisited

brown-revisited

Combine nbu reports to singlcsv

nbu-reports-convert

Roff

sam1

Howework