https://github.com/piyoki/yolov3-darknet

https://github.com/piyoki/yolov3-darknet

Last synced: about 1 month ago
JSON representation

• Host: GitHub
• URL: https://github.com/piyoki/yolov3-darknet
• Owner: piyoki
• Created: 2020-04-21T09:33:51.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-04-21T16:29:25.000Z (over 4 years ago)
• Last Synced: 2024-10-14T07:36:08.735Z (3 months ago)
• Language: Shell
• Size: 8.53 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Yolov3-Darknet

## Intro

Install and run YOLOv3 on Nvidia Jetson Series. YOLOv3 is a really popular DNN (Deep Neural Network) object detection algorythm, which is really fast and works also on not so powerfull devices. \

 \

Check out the complete tutorial [here](https://www.hikariai.net/edge-ai/yolov3).

## Demo

![](demo-screenshots/demo001.jpg)

![](demo-screenshots/demo002.jpg)

## Setup

### Clone the Repository

```

$ cd ${HOME}

$ git clone https://github.com/yqlbu/Yolov3-Darknet

$ cd Yolov3-Darknet

```

### Run the Script

```

$ sudo chmod +x install.sh

$ ./install.sh

```

## How to use

Simply run the demo scripts below

```

$ ./image.sh

```

```

$ ./video.sh

```

```

$ ./camera.sh

```

You should see the same outputs as the demo screenshots shown. Enjoy !