A simple parser for Infiray IRG radiometric thermal imaging files
Project description
Infiray IRG file format parser
This python module contains a simple parser for the "IRG" file format that the Infiray C200 series thermal cameras use to dump their raw data. The files contain three things: A thermal image with 8 bit resolution with contrast scaled to fit the 0...255 range, a thermal image with 16 bit resolution containing absolute temperature values with 1/16 K resolution, and a JPEG with the image from the low-res visual camera.
Requirements
pillow and numpy
API
Call infiray_irg.load(data)
with a bytes
object containing the IRG file's contents. It will return a tuple (coarse, fine, vis)
of the coarse and fine images as numpy arrays, followed by the visual image as a pillow image. The coarse
image has dtype uint8 and contains values from 0 to 255, where 0 is the coldest pixel in the image, and 255 is the
hottest. The fine image has dtype float and contains absolute degree Celsius values.
Example
from matplotlib import pyplot as plt
from pathlib import Path
import infiray_irg
coarse, fine, vis = infiray_irg.load(Path('example.irg').read_bytes())
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(15, 18))
ax1.imshow(coarse)
ax1.set_title('Coarse contrast-maximized')
fine_plt = ax2.imshow(fine)
ax2.set_title('Fine absolute temperatures')
fig.colorbar(fine_plt, ax=ax2, location='right', label='degrees Celsius')
ax3.imshow(vis)
ax3.set_title('Visual')
ax4.hist(fine.flatten(), bins=100)
ax4.set_title('Temperature histogram')
ax4.set_xlabel('degrees Celsius')
fig.tight_layout()
fig.savefig('plot.png')
print('Coldest pixel:', fine.min(), 'C', 'Hottest pixel:', fine.max(), 'C')
Bugs
If you find a bug, or find a file that this library can't load, please send me an email at code@jaseg.de.
License
This module is licensed under the MIT license.
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