littlebearsama Goto Github PK

3d-objectdetection-and-pose-estimation

3D目标检测与位姿估计学习笔记

3d-reconstruction

这个一个本人三维重建算法（工程）相关的仓库

activatecode

idea激活码,全家桶激活码,pycharm激活码,WebStorm激活码,PhpStorm激活码,goland激活码

adcensus

c-plusplus-notes-chinese-

C++笔记（书本 C++ primer plus 第六版中文版）

calibrationtools

1.相机模型标定（鱼眼相机，普通相机）；2.立体相机标定与极线矫正；3.RGB(/灰度)相机与深度相机（tof）标定，数据融合；4.外参标定

camlasercalibratool

Extrinsic Calibration of a Camera and 2d Laser

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer_ros

Provides ROS integration for Cartographer.

catch2

A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)

ceres-solver

A large scale non-linear optimization library

cosypose

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

cpp_concurrency_in_action

:book: 作为对《C++ Concurrency in Action》英文版的中文翻译。

cuda-notes

高性能编程 笔记

data-structure-and-algorithm-notes-chinese-

数据结构与算法笔记

data2

deep-learning-notes-chinese-

深度学习笔记

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

eai-stereo

hexo-git-backup

you can use it to backup your blog into git.

hexo-theme-icarus

A simple, delicate, and modern theme for the static site generator Hexo.

high-frequency-stereo-matching-network

[CVPR 2023 Highlight] The Official Code for High-Frequency Stereo Matching Network

laser-slam-note

激光SLAM笔记

libsgm

Stereo Semi Global Matching by cuda

lidar-processing

Basic LiDAR Processing Pipeline Consisting of Ground Segmentation, Clustering and Polygonization

littlebearsama

Config files for my GitHub profile.

littlebearsama.github.io

https://littlebearsama.github.io

mali_opencl_sdk

http://malideveloper.arm.com/resources/sdks/mali-opencl-sdk/

mrpt

:zap: The Mobile Robot Programming Toolkit (MRPT)

nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning