BLITZ

TL;DR

BLITZ is a high-performance, matrix-based image viewer built for efficiently managing massive datasets but equally suitable for single-image analysis. For example, it can load 21,000 images (~25GB) in just 35 seconds on a standard gaming laptop.

Download

Download the latest release for Windows
No installation needed—just a single, standalone *.exe file.

Overview

BLITZ (Bulk Loading and Interactive Time series Zonal analysis) is an open-source image viewer developed at INP Greifswald. It specializes in the rapid loading, visualization, and analysis of large image datasets, while also being an excellent tool for detailed single-image inspection.

Key Features:

• Fast Data Handling: Handles very large datasets efficiently (i.e. 21,000 images (~25GB) in just 35 seconds on a standard gaming laptop).
• Easy Data Handling: Drag-and-drop functionality for various image and video formats, including NUMPY matrices (*.npy).
• Easy-to-use: Automatic resource management for large and small datasets.
• User-Friendly Interface: Intuitive GUI with mouse-based navigation and shortcut capabilities.
• Advanced Image Processing: Matrix-based processing, with fast statistical calculations (i.e. Mean image of the 21k dataset: 1.7 seconds).
• Built on Python, with Qt and PyQtGraph for high performance and flexibility

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Documentation

• Quick Start Guide
• Core Functionalities

Development

To compile and develop locally:

1. Clone the repository:

    $ git clone https://github.com/CodeSchmiedeHGW/BLITZ.git
    $ cd BLITZ
   

2. Set up a virtual environment and install dependencies:

    $ pip install poetry
    $ poetry install
    $ poetry run python -m blitz
   

   Sometimes the installation with poetry might fail due to package restrictions with PyQt5. For a quick fix, comment out the following three lines in pyproject.toml.

   # PyQt5 = "^5.15.11"
   # pyqtgraph = "^0.13.7"
   # QDarkStyle = "^3.2.3"
   

   Afterwards, just install these packages via pip inside the newly created virtual environment:

    $ poetry shell
    $ python -m pip install PyQt5==5.15.11
    $ python -m pip install pyqtgraph==0.13.7
    $ python -m pip install QDarkStyle==3.2.3
   

3. To create a binary executable:

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

Additional Resources

• Example Dataset: KinPen Science Example Set
• Explore more datasets or contribute your own on INPTDAT.

License

BLITZ is licensed under the GNU General Public License v3.0.