Hanson0910 / MNNSuperGlueView external linksLinks
SuperGlue MNN C++部署，SuperGlue C++ Inference with MNN
☆68Jan 7, 2022Updated 4 years ago
Alternatives and similar repositories for MNNSuperGlue
Users that are interested in MNNSuperGlue are comparing it to the libraries listed below
Sorting:
- 深度学习特征点匹配算法SuperGluePretrainedNetwork https://github.com/magicleap/SuperGluePretrainedNetwork C++部署☆40Dec 10, 2020Updated 5 years ago
- C++-compatible fork of SuperGlue☆30Jul 30, 2020Updated 5 years ago
- Shared Coupling-bridge for Weakly Supervised Local Feature Learning☆22Apr 27, 2023Updated 2 years ago
- Tengine 管子是用来快速生产 demo 的辅助工具☆12Jul 15, 2021Updated 4 years ago
- Rotation equivariance meets local feature matching☆18Oct 20, 2022Updated 3 years ago
- Features detection, match and track module. Supported features: orb and superpoints☆30Nov 19, 2019Updated 6 years ago
- Learning Matchable Image Transformations☆13Sep 10, 2019Updated 6 years ago
- A paper list and note about lidar slam☆12Jun 17, 2023Updated 2 years ago
- "A case for using rotation invariant features in state of the art feature matchers", CVPRW 2022☆92Jul 7, 2024Updated last year
- ☆34Mar 4, 2021Updated 4 years ago
- SuperPoint with pretrain model and implement in Pytorch C++☆22Mar 24, 2020Updated 5 years ago
- C++ header-only lib for extracting local patches☆15Nov 3, 2020Updated 5 years ago
- SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)☆13Sep 2, 2024Updated last year
- This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.☆12Jul 5, 2023Updated 2 years ago
- 使用 OpenCV 实现的 AR demo☆15Jan 9, 2019Updated 7 years ago
- 开源视频人脸跟踪算法,MNN基于mtcnn人脸检测+onet人脸跟踪,在i7-9700k的cpu检测速度可高达500fps☆23May 29, 2020Updated 5 years ago
- A handbook to help developers get started with Eigen quickly.☆29Feb 18, 2020Updated 5 years ago
- 重新设计的RFBNet300,模型参数量只有0.99MB，AP达到0.78，200FPS☆100Dec 16, 2019Updated 6 years ago
- nanodet_rknn on rk3399pro platform☆17Apr 17, 2022Updated 3 years ago
- This repository contains the training code for SuperGlue. Uses COCO dataset by generating random homographies.☆120May 17, 2021Updated 4 years ago
- Code for the RA-L (IROS) 2021 paper "A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition"☆70Feb 19, 2023Updated 2 years ago
- 用ATSS训练自己的目标检测模型!! 超详细教程和PDF教程下载！！！☆10Jul 28, 2020Updated 5 years ago
- scripted and traced deep learning models and their applications☆18Mar 21, 2023Updated 2 years ago
- Official repository of the paper "JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition"☆23Dec 15, 2023Updated 2 years ago
- This is the official implementation in PyTorch for AAAI2022 paperGuide Local Feature Matching by Overlap Estimation and also contain a im…☆88Jun 30, 2022Updated 3 years ago
- visual-inertial system(VINS) with deep feature GCNv2☆28Jun 4, 2019Updated 6 years ago
- ☆30Sep 2, 2019Updated 6 years ago
- [CVPR2022] Decoupling Makes Weakly Supervised Local Feature Better☆107Sep 24, 2022Updated 3 years ago
- Open Source Graph Neural Net Based Pipeline for Image Matching☆362Jul 25, 2023Updated 2 years ago
- Stereo Event-based Visual-Inertial Odometry☆19Mar 16, 2023Updated 2 years ago
- Python transparent bindings for Line Band Descriptor☆19Nov 15, 2022Updated 3 years ago
- [SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching net…☆603Oct 12, 2021Updated 4 years ago
- Using SuperGlue (from Magic Leap team) in Visual Place Recognition tasks. Providing full workflow from videos/images to end-to-end API an…☆40Jul 30, 2021Updated 4 years ago
- Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods☆21Jun 21, 2019Updated 6 years ago
- Pilgrim Project: torch2trt, quick convert your pytorch model to TensorRT engine.☆19Oct 10, 2020Updated 5 years ago
- Open Source Graph Neural Net Based Pipeline for Image Matching☆21Jun 6, 2025Updated 8 months ago
- Paper has been accepted by CVPR2023, focus on image matching.☆39Jul 20, 2023Updated 2 years ago
- [AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching☆115Jan 4, 2026Updated last month
- Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021☆142Oct 30, 2021Updated 4 years ago