Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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Updated
Aug 11, 2023 - Jupyter Notebook
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
🤗 image matching toolbox webui
An Illumination-Robust Point-Line Visual Odometry (IROS 2023)
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
small c++ library to quickly deploy models using onnxruntime
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm
Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD
SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)
ROS wrapper for SuperGlue and SuperPoint models
Using SuperGlue (from Magic Leap team) in Visual Place Recognition tasks. Providing full workflow from videos/images to end-to-end API and step-by-step how to use all codes.
[TUD AE4270] SuperPoint & SuperGlue on OpenVINS
Image features and related matching methods
Graph based SLAM for multiple cameras using SuperPoint feature detector
Deployment and evaluation code for a SuperPoint-based Stereo Visual Odometry
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