# anshulpaigwar/GndNet

<https://repo.masters-masters.com/en/repos/anshulpaigwar/GndNet>

[Home](https://repo.masters-masters.com/en) › [anshulpaigwar](https://repo.masters-masters.com/en/owners/anshulpaigwar) › [GndNet](https://repo.masters-masters.com/en/repos/anshulpaigwar/GndNet)

anshulpaigwar/GndNet has 219 stars on GitHub. Its RepoMasters card: Prototype tier. GndNet: Fast ground plane estimation and point cloud segmentation for…

| Field | Value |
| --- | --- |
| Owner | [anshulpaigwar](https://repo.masters-masters.com/en/owners/anshulpaigwar) |
| Stars | 219 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | point-cloud-segmentation, autonomous-vehicles, ground-segmentation, ground-estimator, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [anshulpaigwar/GndNet](https://github.com/anshulpaigwar/GndNet) |

## Repository

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [Taiquan-Zhou/RunTheRepo · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/Taiquan-Zhou/RunTheRepo)
- [InferMatrixLab/vllm-rlt · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/InferMatrixLab/vllm-rlt)
- [duyunzhoudyz/gongwen-skills · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/duyunzhoudyz/gongwen-skills)
- [bwaldvogel/neighbourhood · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/bwaldvogel/neighbourhood)
- [hpfeeds/hpfeeds · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/hpfeeds/hpfeeds)
- [5quinque/Soundcloud-Downloader · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/5quinque/Soundcloud-Downloader)

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