# Gorilla-Lab-SCUT/frustum-convnet

<https://repo.masters-masters.com/en/repos/Gorilla-Lab-SCUT/frustum-convnet>

[Home](https://repo.masters-masters.com/en) › [Gorilla-Lab-SCUT](https://repo.masters-masters.com/en/owners/Gorilla-Lab-SCUT) › [frustum-convnet](https://repo.masters-masters.com/en/repos/Gorilla-Lab-SCUT/frustum-convnet)

Gorilla-Lab-SCUT/frustum-convnet has 246 stars on GitHub. Its RepoMasters card: Prototype tier. The PyTorch Implementation of F-ConvNet for 3D Object Detection

| Field | Value |
| --- | --- |
| Owner | [Gorilla-Lab-SCUT](https://repo.masters-masters.com/en/owners/Gorilla-Lab-SCUT) |
| Stars | 246 |
| Forks | 67 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | 3d-object-detection, point-cloud, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Gorilla-Lab-SCUT/frustum-convnet](https://github.com/Gorilla-Lab-SCUT/frustum-convnet) |

## Repository

The PyTorch Implementation of F-ConvNet for 3D Object Detection

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

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