Try to reproduce SuperPoint

🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.

SuperPoint and SuperGlue with TensorRT. Deploy with C++.

Pytorch Implementation of rpautrat/SuperPoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Training library for local feature detection and matching

Efficient neural feature detector and descriptor

Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"

Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.

HOPE-Image and HOPE-Video 6-DOF pose datasets.

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Event-based camera data representation and processing. Some common representations and reference codes.

Repository relating to "Data-driven Feature Tracking for Event Cameras" (CVPR, 2023, Award Candidate).

Code for "OnePose: One-Shot Object Pose Estimation without CAD Models", CVPR 2022

Neural Radiance Fields from a Single Colour Event Camera [CVPR 2023]

numerical stability testing ground for eventail solver

neuromorphic sensor integration with YARP and iCub

Open source simulator for autonomous robotics built on Unreal Engine with support for Unity