This script is used to apply false-color Look-Up Tables (LUTs) to a video stream from a FLIR thermal camera (such as FLIR Boson or FLIR Lepton). The script also provides a GUI using Tkinter for user interaction, where users can select different LUTs and control video recording.

The primary features of the script include:

• Detection of available FLIR cameras.
• Application of various predefined or custom LUTs to thermal video streams.
• Video recording capability.
• A user-friendly GUI for camera and LUT selection.

The following Python modules are required to run this script:

• opencv-python
• numpy
• Pillow
• pyudev
• tkinter
• argparse

To install the required modules, run the following command:

pip install opencv-python numpy Pillow pyudev

Note: tkinter is usually included with the standard Python installation.

The script can be run from the command line and provides various command line options to customize the behavior. Below are the available options.

• lut_name (positional argument): The name of the LUT to apply. Available options include:
  • WHITEHOT, BLACKHOT, REDHOT, RAINBOW, OCEAN, LAVA, ARCTIC, GLOBOW, GRADEDFIRE, INSTALERT, SPRING, SUMMER, COOL, HSV, PINK, HOT, MAGMA, INFERNO, PLASMA, VIRIDIS, CIVIDIS, ISOTHERM_RED, ISOTHERM_GREEN, ISOTHERM_BLUE.
  • Default value: REDHOT.
• --camera_type (optional argument): The type of camera being used. Options include:
  • BOSON, LEPTON3, LEPTON2.
  • Default value: BOSON.

python boson_lut_script.py REDHOT --camera_type BOSON

This command runs the script, applies the REDHOT LUT, and uses the BOSON camera type.

• Thermal Camera Detection: Automatically detects connected FLIR cameras using pyudev.
• GUI Controls: A GUI interface using Tkinter allows users to:
  • Select different LUTs.
  • Switch between detected cameras.
  • Start or stop video recording.
  • Exit the application.
• Custom LUTs: The script also allows the application of custom LUTs, such as ISOTHERM_RED, ISOTHERM_GREEN, and ISOTHERM_BLUE.

We faced an issue with the application not having permission to access the FLIR Boson USB device. To resolve this, we updated udev rules:

1. Create a Udev Rule for the FLIR Device:

   sudo nano /etc/udev/rules.d/99-flir-boson.rules

2. Add the Following Line (to grant access to the USB device):

   SUBSYSTEM=="usb", ATTRS{idVendor}=="09cb", ATTRS{idProduct}=="4007", MODE="0666"

   Example 99-flir-boson.rules file:

   # Udev rule to grant permissions for FLIR Boson USB device
   SUBSYSTEM=="usb", ATTRS{idVendor}=="09cb", ATTRS{idProduct}=="4007", MODE="0666"
   

3. Reload Udev Rules:

   sudo udevadm control --reload-rules
   sudo udevadm trigger

   Alternative Command (using device paths):

   sudo udevadm trigger /dev/bus/usb/*

• Ensure that your system has access to the appropriate video devices, and that you have permissions to access them.
• The script uses OpenCV for video capture and processing, and Tkinter for GUI management.
• The FLIR cameras must be connected to the system before running the script.

This project is licensed under the MIT License.