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Michael Zhang's Projects

.tmux icon .tmux

Oh My Tmux! My pretty + versatile tmux configuration that just works (imho the best tmux configuration)

a-loam icon a-loam

Advanced implementation of LOAM

colmap icon colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

cow icon cow

HTTP proxy written in Go. COW can automatically identify blocked sites and use parent proxies to access.

cube_slam icon cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

eiba icon eiba

Efficient Incremental BA

ekfmonoslam icon ekfmonoslam

SLAM using a monocular camera, optionally an IMU, and GPS

enft icon enft

Efficient Non-Consecutive Feature Tracking for Robust SfM http://www.zjucvg.net/ls-acts/ls-acts.html

enft-sfm icon enft-sfm

This source code provides a reference implementation for ENFT-SfM.

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

fay icon fay

Fay是一个完整的开源项目,包含Fay控制器及数字人模型,可灵活组合出不同的应用场景:虚拟主播、现场推销货、商品导购、语音助理、远程语音助理、数字人互动、数字人面试官及心理测评、贾维斯、Her。 开源项目,非产品试用!!!

getmap icon getmap

自动从谷歌或高德下载卫星或街道地图

gms-feature-matcher icon gms-feature-matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

gtsam icon gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

hfnet icon hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

im2markup icon im2markup

Neural model for converting Image-to-Markup (by Yuntian Deng github.com/da03)

ios-swift-demos icon ios-swift-demos

精心收集并分类整理的Swift开发学习资源,包括Apple官方提供的示例代码和文档,以及github上的项目和国内外开发者的技术博客。欢迎提交pull-request一起维护。[iOS Swift Demos from Apple]

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