# varyshare/easy\_slam\_tutorial

<https://repo.masters-masters.com/en/repos/varyshare/easy_slam_tutorial>

[Home](https://repo.masters-masters.com/en) › [varyshare](https://repo.masters-masters.com/en/owners/varyshare) › [easy\_slam\_tutorial](https://repo.masters-masters.com/en/repos/varyshare/easy_slam_tutorial)

varyshare/easy\_slam\_tutorial has 423 stars on GitHub. Its RepoMasters card: Alpha tier. 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…

| Field | Value |
| --- | --- |
| Owner | [varyshare](https://repo.masters-masters.com/en/owners/varyshare) |
| Stars | 423 |
| Forks | 93 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | slam, easy-slam-tutorial, slam-python, simple, code, practice-project, otsu-threshold |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [varyshare/easy\_slam\_tutorial](https://github.com/varyshare/easy_slam_tutorial) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.