Skip to content

mahew/dissertation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Software User Documentation

Setup and Requirements

Requirements

  • Windows 10 or Linux (Ubuntu Preferred)
  • Python 3.6 & Pip
  • MongoDB Atlas Database Access String

Setup

Database Setup

  • Create or use an exisiting MongoDB cluster, including the free tier from MongoDB Atlas Get Started
  • Set the POETRY_CONN_STRING environment variable according to your operating system to your MongoDB connection string, for example in Linux
export POETRY_CONN_STRING="mongodb+srv://USERNAME:[email protected]/"

Software Setup

In a shell or console, install poetry using

pip install poetry

Change into the projects main directory

cd iot-see

Now install the Python requirements with

poetry install

Once the requirements are installed, create a virtual environment shell using

poetry shell

Running the Project

Using the virtual environment, run

python main.py

If you are running the project for the first time, you will have to set up the device in the console, this is used to correlate the vehicle detections to the device and session. You should be promoted to name the device and its location, this will then be saved to the provided database in the devices collection.

Once the device is saved, the software should be running using the default settings and included traffic video you should see the tracking results in a window called "Frame" as shown below.

Example Frame

You can exit the program at any time by pressing "Q" on your keyboard, closing the frame will just re open it.

Changing the default tracking settings

You can view help for changing the default tracking settings using

python main.py --help

this will display the following options

usage: main.py [-h] [--input INPUT] [--roi ROI] [--skip SKIP] [--maxw MAXW]
               [--verbose VERBOSE] [--testing TESTING]

Tracking Settings for Matthew Ball's tracking project

optional arguments:
  -h, --help         show this help message and exit
  --input INPUT      The input video or stream of traffic images
  --roi ROI          Region of Interest Value (Y Cut Off)
  --skip SKIP        Number of skip frames
  --maxw MAXW        Max Width Value used to resize input frame
  --verbose VERBOSE  Verbose option, used to show the input frame, will
                     increase performance when disabled
  --testing TESTING  Manual Testing Option, only works with default input
                     video, enables Verbose mode

you can change any of these options as you would like, but there are default values for all arguments if you would prefer to use these.

the tracked vehicles should be logged into your MongoDB database with current timestamps, directions and labels

About

vehicle tracking using computer vision for use on the edge via iot hardware

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages