sushi31415926

sushi31415926's Stars

• ArchaeaSoftware/cudahandbook

  Source code that accompanies The CUDA Handbook.

  Language:Cuda509192

• jaredhoberock/stanford-cs193g-sp2010

  This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010

  Language:C++20781

• balzer82/Kalman

  Some Python Implementations of the Kalman Filter

  Language:Jupyter Notebook1.1k366

• Profactor/cv-plot

  fast modular opencv plotting library

  Language:C++16131

• grimoire/torch2trt_dynamic

  A pytorch to tensorrt convert with dynamic shape support

  Language:Python25734

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• Smorodov/LogPolarFFTTemplateMatcher

  OpenCV Fourier-Mellin algorithm implementation.

  Language:C++17545

• megvii-research/BasesHomo

  The official PyTorch implementation of the paper "Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection".

  Language:Python6410

• imdumpl78/IHN

  This is the open source implementation of the CVPR2022 paper "Iterative Deep Homography Estimation"

  Language:Python8310

• placeforyiming/CVPR21-Deep-Lucas-Kanade-Homography

  A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021

  Language:Python13029

• lvzhaoyang/DeeperInverseCompositionalAlgorithm

  Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

  Language:Python15629

• baidu/ICE-BA

  Language:C++717233

• georg-bn/se2-loftr

  "A case for using rotation invariant features in state of the art feature matchers", CVPRW 2022

  Language:Jupyter Notebook849

• QUVA-Lab/e2cnn

  E(2)-Equivariant CNNs Library for Pytorch

  Language:Python61475

• alishobeiri/Monocular-Video-Odometery

  Monocular odometry using OpenCV

  Language:Python15333

• muneebaadil/structure-from-motion

  Structure-from-Motion from scratch, using Numpy and OpenCV.

  Language:Python21336

• GrumpyZhou/patch2pix

  Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]

  Language:Python27825

• superluckyxhh/LoFTR-with-train-script

  LoFTR:Detector-Free Local Feature Matching with Transformers CVPR 2021(with train script --- unofficial ---)

  Language:Python20

• Kolkir/Coarse_LoFTR_TRT

  Distilled coarse part of LoFTR adapted for compatibility with TensorRT and embedded divices

  Language:Python11321

• hku-mars/FAST_LIO

  A computationally efficient and robust LiDAR-inertial odometry (LIO) package

  Language:C++2.9k966

• gisbi-kim/SC-A-LOAM

  Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

  Language:C++48097

• jureviciusr/particle-match

  Language:C++213

• mirzaim/cs231n

  Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

  Language:Jupyter Notebook4515

• Lariiii/DeepSimDataAugmentation

  Language:Python2

• Dmmm1997/FSRA

  「TCSVT」A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization

  Language:Python8820

• isaaccorley/torchrs

  PyTorch implementation of popular datasets and models in remote sensing

  Language:Python37250

• niuliang42/DeepSim

  Source Code for ACSAC paper "DeepSIM: GPS Spoofing Detection on UAVs using Satellite Imagery Matching"

  Language:Jupyter Notebook2912

• abhinavtripathi95/geolocalization

  This repository contains code and other files used in my MTech thesis on geolocalization of UAV using satellite imagery

  Language:Jupyter Notebook145

• engcang/SLAM-application

  LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

  Language:C++781112