https://github.com/AI-liu/Complex-YOLO

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
https://github.com/AI-liu/Complex-YOLO

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Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

• Host: GitHub
• URL: https://github.com/AI-liu/Complex-YOLO
• Owner: AI-liu
• Created: 2018-08-06T13:16:54.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-21T16:10:01.000Z (about 6 years ago)
• Last Synced: 2024-10-28T06:57:53.982Z (6 months ago)
• Language: Python
• Homepage:
• Size: 333 KB
• Stars: 444
• Watchers: 16
• Forks: 114
• Open Issues: 25
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-yolo-object-detection - AI-liu/Complex-YOLO - liu/Complex-YOLO?style=social"/> : This is an unofficial implementation of "Complex-YOLO: Real-time 3D Object Detection on Point Clouds in pytorch". (**[arXiv 2018](https://arxiv.org/abs/1803.06199)**) (Object Detection Applications)
• awesome-yolo-object-detection - AI-liu/Complex-YOLO - liu/Complex-YOLO?style=social"/> : This is an unofficial implementation of "Complex-YOLO: Real-time 3D Object Detection on Point Clouds in pytorch". (**[arXiv 2018](https://arxiv.org/abs/1803.06199)**) (Applications)

README

        
# Complex-YOLO

Complex-YOLO: Real-time 3D Object Detection on Point Clouds   pytorch

# Introduction

This is an unofficial implementation of Complex-YOLO: Real-time 3D Object Detection on Point Clouds in pytorch. A large part of this project is based on the work here:https://github.com/marvis/pytorch-yolo2

Point Cloud Preprocessing is based on:https://github.com/skyhehe123/VoxelNet-pytorch

                                      https://github.com/dongwoohhh/MV3D-Pytorch

# Data Preparation

Download the 3D KITTI detection dataset.

Camera calibration matrices of object data set (16 MB)

Training labels of object data set (5 MB)

Velodyne point clouds (29 GB)

# Train

python3 main.py

trained model(using DarkNet) download link :https://pan.baidu.com/s/1yeU3Q-Oyozv7qFqrVhzj0A

# Result

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/1.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/2.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/3.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/4.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/5.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/6.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/7.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/8.png)

![](https://github.com/AI-liu/Complex-YOLO/blob/master/results/9.png)