Flyr is a library for extracting thermal data from FLIR images written fully in Python, without depending on ExifTool.

# Flyr

Flyr is a library for extracting thermal data from FLIR images written fully in Python, without depending on ExifTool.

Other solutions are wrappers around ExifTool to actually do the hard part of extracting the thermal data. Flyr is a reimplementation of the ExifTool's FLIR parser. Practically, this offers the following benefits:

• Faster decoding because no new process needs to be started and in-memory data does not need to be communicated to this other process
• More accurate, because Flyr uses all of the metadata to translate the raw values into Kelvin, while other projects have a certain set hardcoded. The differences are often about 0.1°C, but can be as high as 0.6°C.
• Easier and robust installation and deployment, because flyr is completely installable from PyPI.
• Arguably simpler use: no need to create a superfluous extraction object; simply call thermogram = flyr.unpack(flir_file_path) and done
• Extra features (see feature section) such as different units, built-in rendering and adjustable thermal data.

## Installation

Flyr is installable from PyPi:

pip install flyr


These features appeared in 3.0.0. Also see the CHANGELOG.md for feature history.

• Support for many more cameras, specifically those storing thermal data as raw data, such as the SC660, ThermaCAM B400, E30, E30BX, E40, E50, E60BX and more
• Extraction of the palette embedded in the FLIR file
• Rendering by default with the embedded palette
• Extraction of the original render range embedded in the file.
• Default render range is now this range.
• Added an executable called flyr to render, print the camera info or extract the palette

## Upcoming features

These are features already implemented and merged into the master branch, but not released yet. Also see the CHANGELOG.md for feature history.

Currently there are none.

## Usage and features

### Different units

Thermal data is available in kelvin, celsius and fahrenheit.

import flyr

flir_path = "thermograms/flir_e5_2.jpg"
thermogram = flyr.unpack(flir_path)

thermal = thermogram.kelvin  # As kelvin
thermal = thermogram.celsius  # As celsius
thermal = thermogram.fahrenheit  # As fahrenheit


### Optical data can be read

To read the embedded photo, access either optical or optical_pil to respectively get a 3D numpy or Pillow Image object with the photo.

import flyr

flir_path = "thermograms/flir_e5_2.jpg"
thermogram = flyr.unpack(flir_path)
optical_arr = thermogram.optical  # Also works
thermogram.optical_pil.save("optical.jpg")


### Built-in support for rendering

Flyr has built-in support to render thermal data to RGB images. It is possible to use the embedded palette or one of the provides palettes. Normalization can be done by percentiles or absolute values.

import flyr

flir_path = "thermograms/flir_e5_2.jpg"
thermogram = flyr.unpack(flir_path)
# render = thermogram.render()  # Use to get raw RGB array
render = thermogram.render_pil()  # Returns Pillow Image object
render.save(f"render-embedded.png")

palettes = ["turbo", "cividis", "inferno", "grayscale", "hot"]
for p in palettes:
# The below call returns a Pillow Image object.
# A sibling method called render returns a numpy array.
render = thermogram.render_pil(
min_v=27.1,
max_v=35.6,
unit="celsius",
palette=p,
)
render.save(f"render-{p}.png")


To render by percentiles, call as below. This approach is useful when it isn't know what temperature range to render.

thermogram.render_pil(
min_v=0.0,
max_v=1.0,
unit="percentiles",
palette="copper",
).save(f"render-percentiles.png")


It is possible to update the camera settings / parameters with which the thermal data is calculated. A typical value to adjust would be emissivity, but object_distance, relative_humidity and others are also configurable. See the parameters of FlyrThermogam.__raw_to_kelvin() for which.

import flyr

flir_path = "thermograms/flir_e5_2.jpg"
thermogram = flyr.unpack(flir_path)

emissivities = [0.6, 0.7, 0.8, 0.9, 1.0]
for e in emissivities:
# thermal = thermogram.celsius  # Access updated data as normal
render = thermogram.render_pil(
min_v=27.1,
max_v=35.6,
unit="celsius",
palette="viridis",
)
render.save(f"render-{e}.png")


### Read from file, from file handle or binary stream

Call flyr.unpack on a filepath to receive a numpy array with the thermal data. Alternatively, first open the file in binary mode for reading and and pass the the file handle to flyr.unpack.

import flyr

# From file path
flir_path = "thermograms/flir_e5_2.jpg"
thermogram = flyr.unpack(flir_path)  # From file path

# From file handle / binary stream
with open(flir_path, "rb") as flir_handle:  # In binary mode!
thermogram = flyr.unpack(flir_handle)


## Supported cameras

Currently this library has been tested to work with:

• FLIR C5
• FLIR E4, E5, E6, E8, E8XT, E30, E30BX, E40, E50, E50BX, E53, E60BX, E75
• FLIR I5
• FLIR ONE, ONE Pro, ONE Pro Next Gen
• FLIR P60 (PAL)
• FLIR SC660
• FLIR T630SC, T660
• FLIR ThermaCAM B400

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Most help is currently needed supporting more models and testing against more pictures. Testing and developing for your own camera's images or FLIR Tools' samples is recommended.

## Acknowledgements

This code would not be possible without ExifTool's efforts to document the FLIR format. tomas123's work is similarly important to mention. Previous work in Python must also be acknowledged for creating a workable solution.

Flyr is licensed under The European Union Public License 1.2. The English version is included in the license file. Translations for all EU languages, each fully legally valid, can be found at the EUPL website.

## Project details

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