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# Infiray IRG file format parser
This python module contains a simple parser for the "IRG" file format that the Infiray C200 series thermal cameras, P200
series and others 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 for some models 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
```python
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>. If your
thermal camera isn't supported, please send me an email with one or more example pictures. Please make sure there's
something of high contrast visible on these pictures, such as a hot cup of tea.
## License
This module is licensed under the MIT license.
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