With VEDDAC py you can seamlessly integrate the powerful image correlation algorithms of VEDDAC into your Python environment.

VEDDAC py enables automated digital image correlation (DIC) through the script-controlled execution of VEDDAC's image correlation algorithms. Our CWM-DIC kernel is used for this purpose and numerous algorithms are available for post-processing the results.

With VEDDAC py, you create the basis for time-efficient and modern process automation. Whether interactive applications, batch processing of large amounts of data or AI-based analyses - our Python interface opens up a wide range of applications for you.

• Automation of your workflows: from configuration to fast data analysis and visualisation of results.
• Flexibility through Python: Use VEDDAC py in combination with other Python packages to realise sophisticated applications such as AI-based data analysis or data processing at interactive speed for real-time feedback systems.
• Data interface to VEDDAC:
  • Export of sequence templates from VEDDAC for further processing and automated analysis in VEDDAC py.
  • Creation of new templates in VEDDAC py, which you can also use in your VEDDAC projects.

Extensive documentation is available for our Python interface. All methods and functions are provided with docstrings. We also provide you with various application examples to help you get started and serve as a practical reference.

Would you like to automate a special workflow? On request, we can develop customised Python evaluation routines that are tailored to your needs.

VEDDAC Templates

as an intuitive data interface between VEDDAC and VEDDAC py

Displacement vectors

of a CTE measurement determined with VEDDAC py