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李城(大橙子)'s Projects

mulls icon mulls

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]

multi_sensor_fusion icon multi_sensor_fusion

Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合

multinerf icon multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

mvision icon mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

mvsim icon mvsim

Vehicle and mobile robotics simulator. C++ & Python API. Use it as a standalone application or via ROS 1 or ROS 2

mvstudio icon mvstudio

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

nerf-learn icon nerf-learn

记录对nerf各种算法、应用、软件等等的学习过程

nerfcapture icon nerfcapture

An iOS app that collects/streams posed images for NeRFs using ARKit

ngp_pl icon ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

nicegui icon nicegui

Create web-based user interfaces with Python. The nice way.

nmslib icon nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

oblam_pgo icon oblam_pgo

An assignment on Loop Closure and Pose Graph Optimization for OBLAM CourseY

offline-mapmatching icon offline-mapmatching

a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm

omnicv-lib icon omnicv-lib

A computer vision library for omnidirectional (360 degree) cameras.

omnidb icon omnidb

Web tool for database management

onlinesfm icon onlinesfm

OnlineSFM aims to extend other open source SFM/MVS pipelines by allowing the highly parallelizable reconstruction steps to scale horizontally across a cluster of machines.

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

opencv-python-blueprints icon opencv-python-blueprints

M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.

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