MaD GUI
Machine Learning and Data Analytics Graphical User Interface
DISCLAIMER
The current version is not stable and might crash unexpectedly!
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?
By clicking on the images below, you will be redirected to YouTube. In case you want to follow along on your own machine, check out the section "How do I get the GUI to work on my machine? first.
- 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. Next, use one of the following two options (for testing it on Windows, we recommend Option A).
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 (first line) or pass additional arguments (second line):
mad-gui
python -m mad_gui.start_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?.
GitHub
mad-lab-fau
