Skip to main content

GUI for annotating and processing IMU data.

Project description

MaD GUI

Machine Learning and Data Analytics Graphical User Interface

Test and Lint Documentation Status Code style: black

What is it?

The MaD GUI is a framework for processing time series data. Its use-cases include visualization, annotation (manual or automated), and algorithmic processing of visualized data and annotations.

How do I use it?

<soon there will be one or more videos here, which show(s) how the GUI works>

  • loading data / video / annotations
  • adding annotations via an algorithm
  • synchronize video and data
  • export data / apply other algorithms and export results

How do I get the GUI to work on my machine?

Below, we present two options how to obtain and run the GUI. However, this will only enable you to look at our example data. You want to load data of a specific format/system or want to use a specific algorithm? In this case please refer to "Can I use it with data of my specific system or a specific algorithm?".

How can I test the GUI using your example data on my computer?

First, you need to download the example data. Right click on this link, select Save link as... and save it as acceleration.csv. If you also want to check out synchronization with a video file, then right click on this link and select Save link as... to store it on your machine.

Option A: Standalone executable

  • Windows users: download our exemplary executable here
  • Other operating systems: Contact us.

Start the program and then you can open the previously downloaded example data as shown in How do I use it?.

Option B: Using the python package

pip install mad_gui

Make sure to include the underscore. If you do not include it, you will install a different package.

Then, from your command line either simply start the GUI or pass additional arguments:

python -m mad_gui.start_gui
python -m mad_gui.starg_gui --base_dir C:/my_data

Alternatively, within a python script use our start_gui function and hand it over the path where your data resides, <data_path> like "C:/data" or "/home/data/":

from mad_gui import start_gui
start_gui(<data_path>)

Now you can open the previously downloaded example data as shown in How do I use it?.

Can I use it with data of my specific system or a specific algorithm?

Yes, however it will need someone who is familiar with python. You do not have experience with python but still want to load data from a specific system? Contact us!

Developers can get basic information about the project setup in our Developer Guidelines. If you want extend the GUI with your custom plugins, e.g. for loading data of a specific system, or adding an algorithm, the necessary information can be found in our API Reference.

Can I change something at the core of the GUI?

Sure, we try to document the most important parts of the GUI to make adaption as easy as possible. For more information, please take a look at our Contribution Guidelines.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mad_gui-0.2.0a2.tar.gz (393.3 kB view hashes)

Uploaded Source

Built Distribution

mad_gui-0.2.0a2-py3-none-any.whl (418.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page