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VEDDAC py - The Python interface to the image correlation algorithms of VEDDAC
VEDDAC py - The Python interface to the image correlation algorithms of VEDDAC

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 the image correlation algorithms of VEDDAC. Our CWM-DIC kernel is used for this purpose and numerous algorithms are available for post-processing the results.

Your key to process automation

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.

Features and benefits
  • Automation of your workflows: from configuration to fast data analysis and visualization of results.
  • Flexibility with Python: Use VEDDAC py in combination with other Python packages to realize 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.
Intuitive and user-friendly

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 individual Python evaluation routines for you that are tailored to your needs.

Technical data
Image sources:
  • CCD/CMOS-Camera
  • High-speed camera
  • Scanning electron microscope (SEM)
  • Atomic force microscope (AFM)
  • Laser Scanning Microscope (LSM)
  • X-ray computed tomography (CT)
  • ...
Supported image formats:
  • All standard image formats (*.bmp, *.tiff, *.png, *.jpg)
Analyzes:
  • Displacement fields
  • Local strain fields (normal, technical, principal and true strain)
  • Average (global) elongation (horizontal and vertical)
  • Bending lines
  • Paths (trajectories)
  • Local speed and acceleration
  • ...
Export formats:
  • Textfile
  • Excel
  • Image sequences
  • Video (WMV, MP4)
  • Charts
Minimum system requirements:
  • Standard PC/Laptop with:
  • Windows 10 (x64) or newer
  • Intel Core I5 processor or equivalent
  • 8GB working memory
  • Dedicated DirectX 11.1 compatible graphics card
VEDDAC templates as an intuitive data interface between VEDDAC and VEDDAC py
VEDDAC templates
as an intuitive data interface between VEDDAC and VEDDAC py
Mit VEDDAC py ermittelte Verschiebungsvektoren einer CTE-Messung
Displacement vectors
of a CTE measurement determined with VEDDAC py
VEDDAC py in Jupyter Notebook for determining and displaying bending line curves
VEDDAC py in Jupyter Notebook
for determining and displaying bending line curves
 
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