# maudzung/Complex-YOLOv4-Pytorch

<https://repo.masters-masters.com/en/repos/maudzung/Complex-YOLOv4-Pytorch>

[Home](https://repo.masters-masters.com/en) › [maudzung](https://repo.masters-masters.com/en/owners/maudzung) › [Complex-YOLOv4-Pytorch](https://repo.masters-masters.com/en/repos/maudzung/Complex-YOLOv4-Pytorch)

maudzung/Complex-YOLOv4-Pytorch has 1,332 stars on GitHub. Its RepoMasters card: Beta tier. The PyTorch Implementation based on YOLOv4 of the paper…

| Field | Value |
| --- | --- |
| Owner | [maudzung](https://repo.masters-masters.com/en/owners/maudzung) |
| Stars | 1,332 |
| Forks | 267 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2020 |
| Topics | yolov4, object-detection, real-time, multiprocessing, data-parallel-computing, lidar, lidar-point-cloud, complex-yolo, 3d-object-detection, mish |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [maudzung/Complex-YOLOv4-Pytorch](https://github.com/maudzung/Complex-YOLOv4-Pytorch) |

## Repository

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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