https://github.com/wlongxiang/dutch_traffic_monitor

Visualize traffic on dutch high way A9 as an example
https://github.com/wlongxiang/dutch_traffic_monitor

computer-vision data-science deep-learning object-detection opencv visualization

Last synced: 11 months ago
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Visualize traffic on dutch high way A9 as an example

• Host: GitHub
• URL: https://github.com/wlongxiang/dutch_traffic_monitor
• Owner: wlongxiang
• Created: 2018-06-06T09:39:37.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-12-13T08:59:03.000Z (over 7 years ago)
• Last Synced: 2025-04-05T00:51:15.643Z (about 1 year ago)
• Topics: computer-vision, data-science, deep-learning, object-detection, opencv, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 17 MB
• Stars: 5
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## Demo results

![](dutch_traffic_monitor/sample_images/predictions.png?raw=true)

![](dutch_traffic_monitor/sample_images/predictions_day.png?raw=true)

![](dutch_traffic_monitor/sample_images/predictions_night.png?raw=true)

![](dutch_traffic_monitor/sample_images/a9_grafana.png?raw=true)

## Intro

Traffic on main dutch high ways is being monitored, and some live streaming cameras are

available to public on [www.vid.nl](www.vid.nl).

Motivations for this project:

 - **time series data visualization** 

 - **collecting dataset for traffic prediction**

 - **most importantly, for fun!**

Steps:

 - crawl the website mentioned above to get videos clips every certain

amount of time

 - get real time traffic number by running deep learning based object (vehicle) detection algorithms

on video frames

 - visualize the data by using MySQL container for storage and grafana container for making graphs

 

## How to run this code?

1. Spin the enviroment

```

docker-compose up --build

```

2. Run the detection code

```

docker exec dutch_traffic_monitor_pydarknet_1 ./run.sh

```

3. Open you browser and go to [localhost:3000](localhost:3000), log in to

grafana with

 - username: admin

 - password: admin

 

4. After log in, go to settings and add data source, choose MySQL in the dropdown list

 , and fill in the following information, you can ignore the user permission warning for now:

  - Name: A9

  - Type: MySQL

  - Host: mysql:3306

  - Database: traffic

  - User: root

  - Password: mysqladmin 

  

Click "save and test", if you see connection ok, ready to go!

5.  Now you have the data source, go to add a new graph dashboard in grafana, find the metrics tab under edit option of

your graph, choose dada source *A9*, then paste the following query:

```dtd

SELECT

  time as time_sec,

  NbofCars as value

FROM traffic.A9

ORDER BY time ASC

```

Click **Query Inspector** to see if you get response, if yes, go to settings, change

timezone to UTC.

Hooray! Adjust the plot style, change your time range to *Today* or whatever your like to see your data.