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liwei-x's Projects

anyplace icon anyplace

A free and open Indoor Navigation Service with superb accuracy!

apollo icon apollo

An open autonomous driving platform

bilibili_notes icon bilibili_notes

攻城狮之家B站课程课件合集,2号仓库地址https://github.com/JokerJohn/bilibli_notes2.git

caffe icon caffe

Caffe: a fast open framework for deep learning.

camvox icon camvox

[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

coding-notes icon coding-notes

I'm compiling comprehensive coding tutorials for many different languages and frameworks! 🐲

computelibrary icon computelibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

course icon course

高性能并行编程与优化 - 课件

cpi icon cpi

Continuous Preintegration for Graph-based Visual-Inertial Navigation

dagsfm icon dagsfm

Distributed and Graph-based Structure from Motion. This project includes the official implementation of our Pattern Recognition 2020 paper: Graph-Based Parallel Large Scale Structure from Motion.

designpattern icon designpattern

C++11全套设计模式-23种指针的用法(a full DesignPattern implement with c++11)

dive-into-dl-pytorch icon 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。

download icon download

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴

easy_slam_tutorial icon easy_slam_tutorial

首个中文的简单从零开始实现视觉SLAM理论与实践教程,使用Python实现。包括:ORB特征点提取,对极几何,视觉里程计后端优化,实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

evaluate_ate_scale icon evaluate_ate_scale

Modified tool of the TUM RGB-D dataset that automatically computes the optimal scale factor that aligns trajectory and groundtruth. Useful to evaluate monocular VO/SLAM.

g2o_ba_example icon g2o_ba_example

An easy example of doing bundle adjustment within two images using g2o.

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