BLITZ

BLITZ is an open-source image viewer specifically designed for "Bulk Loading and Interactive Time series Zonal analysis," developed at the INP Greifswald. It is optimized for handling extensive image series, a common challenge in diagnostic imaging and process control. Programmed primarily in Python and utilizing QT and PyQTGraph. BLITZ offers:

• rapid loading of large image series
• efficient performance scaling
• versatile data handling options
• user-friendly GUI
• stable lookup tables for visual consistency
• powerful matrix-based image processing capabilities, allowing for instant statistical calculations and image manipulations.

Download the Latest Release for Windows

Most recent release

Documentation and examples

We provide a short walkthrough through BLITZ explaining all core functionalities.

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Compiling and Developing

• Clone this repository
• Create and activate virtual environment
• pip install poetry (It is recommended to use poetry for local development.)
• install all dependencies (poetry install ) and run the application.

$ git clone https://github.com/CodeSchmiedeHGW/BLITZ.git
$ cd BLITZ
$ poetry install
$ poetry run python -m blitz

You can create a binary executable from the python files using pyinstaller with the following options.

$ pyinstaller --onefile --noconsole --icon=./resources/icon/blitz.ico blitz_main.py

Additional Resources

• Visit INPTDAT for additional images or publishing your own.
• You can find the original Example Dataset at INPTDAT as well.

License

BLITZ is licensed under the terms of the GNU General Public License version 3 (GPL-3.0). Details can be found in the LICENSE file.