A Python Toolkit for Infrared Image Processing and Analysis

InfraPy is a modular and extensible Python library for infrared imaging. It offers a clean architecture for processing, analyzing, and visualizing infrared data, making it ideal for research, engineering, and diagnostic applications. Whether you're exploring temperature distributions, performing thermographic inspections, or conducting advanced techniques like Thermoelastic Stress Analysis (TSA), InfraPy provides the tools and flexibility to streamline your infrared imaging workflows.

Features

• Flexible input support: image stacks, video files, NumPy arrays, CSV, but also .sfmov and .hcc data directly from FLIR and Telops cameras
• Temperature tools: emissivity correction, radiometric-to-temperature conversion
• Frequency-domain analysis: Thermoelastic Stress Analysis via FFT and lock-in correlation analysis
• Visualization: ROI monitoring, line profiles, area averages, video animation
• Utility tools: windowing, unit conversion, SNR calculation, resampling, basic image processing
• Modular design: clean architecture to support GUI/CLI integration and future analysis modules

Installation

Install via pip will be soon available on PyPI as:

pip install infrapy

In the meantime, install it from source:

git clone https://github.com/LolloCappo/infrapy.git
cd infrapy
pip install -e .

Planned Extensions

• Time-domain analysis: Classic thermography and temperature accumulation analysis
• Modular design: Cleaner architecture to support GUI/CLI integration and future analysis modules

Getting Started

Coming soon: example notebooks in the examples/ folder for:

• Loading and displaying IR image sequences
• Performing lock-in thermoelastic analysis
• Monitoring temperature in selected ROIs
• Filtering and normalizing noisy thermal data
• Frequency-domain visualization of thermal responses

Contributing

Feel free to contribute! Open issues for bug reports, feature suggestions, or development help. Pull requests are welcome.

License

MIT License

Contact

Project Lead: Lorenzo Capponi

Email: lorenzocapponi@outlook.it

GitHub: https://github.com/LolloCappo/infrapy

Acknowledgements

InfraPy was developed within the framework of the ARTEMIDE project, funded by the European Research Agency (ERA) under the Maria Skłodowska Curie Actions (MSCA). Grant id is 101180595.