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Real time capture of RGB and thermal images, along with inference for semantic segmentation.

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TCC RGB+T Fusion data collection & visualisation software

project code: rgbt_seg_live (public release date: 5 March 2025)

This repo was developed as a part of TCC project and offers support for following:

  • Capturing RGB and/or Thermal video frames
  • Real-time display of captured RGB and thermal frames.
  • Psuedocolor visualization of thermal frames for intuitive inspection of garment damages.
  • Automated detection of damaged regions using semantic segmentation model trained using our acquired dataset.

User Interface for TCC RGB+T Fusion Data Collection & Visualisation Software

User interface for TCC RGB+T Fusion data collection & visualisation software

Running the Interface

python -m rgbt_main --savepath "<path to save the recorded frames>"

Acknowledgement: This project was funded by the Engineering and Physical Sciences Research Council (EP/V011766/1) for the UK Research and Innovation (UKRI) Interdisciplinary Circular Economy Centre for Textiles: Circular Bioeconomy for Textile Materials.

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