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A curated list of awesome datasets for SLAM
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
line feature based SLAM, modified based on the famous ORB-SLAM2
🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.
Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.
line segment detector(lsd) &. edge drawing line detector(edl) &. hough line detector(standard &. probabilistic) for detection
Implementation of "Edlines: Real-time line segment detection by Edge Drawing" without opencv dependencies, a real-time line detection algorithm.
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quanti…
Opencv line descriptor port to opencv2
ORB-LINE-SLAM: An Open-Source Stereo Visual SLAM System with Point and Line Features
[ICRA'23] The official Implementation of "Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras"
A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.
PL-SLAM: The method is implemented in《PL-SLAM:Real-time Monocular Visual SLAM with Points and Lines》
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features
Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"
🤖 The world's easiest, most powerful stock checker
A free and strong UCI chess engine
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
A learned sampling approach for point clouds (CVPR 2019)