diff options
Diffstat (limited to 'src/infiray_irg.py')
| -rw-r--r-- | src/infiray_irg.py | 26 |
1 files changed, 16 insertions, 10 deletions
diff --git a/src/infiray_irg.py b/src/infiray_irg.py index 22d500e..273d3fe 100644 --- a/src/infiray_irg.py +++ b/src/infiray_irg.py @@ -1,4 +1,5 @@ from PIL import Image +import warnings import numpy as np import struct import io @@ -26,14 +27,19 @@ def load(data): _zero0, _unk1, _zero1, fine_offset, _unk2, jpeg_length,\ y_res_2, x_res_2, _unk3, = struct.unpack('<HIHHHHHHHIHHI', header[2:34]) - _zero_celsius0, _zero_celsius1, *rest, high_gain_mode_flag = struct.unpack('<11I', header[34:78]) + fine_temp_offset1, fine_temp_offset2, *rest, high_gain_mode_flag = struct.unpack('<11I', header[34:78]) - import textwrap - print(textwrap.dedent(f''' - {_unk0=}, {coarse_section_length=}, {y_res=}, {x_res=}, - {_zero0=}, {_unk1=}, {_zero1=}, {fine_offset=}, {_unk2=}, {jpeg_length=}, - {y_res_2=}, {x_res_2=}, {_unk3=} - {_zero_celsius0=} {_zero_celsius1=} {rest=}, {high_gain_mode_flag=}''')) + if fine_temp_offset1 != fine_temp_offset2: + warnings.warn(f'File lists two different zero offsets for the fine image data {fine_temp_offset1} and {fine_temp_offset2}. Resulting radiometric data might be offset. Please report this with an example file to code@jaseg.de.') + + fine_temp_offset = fine_temp_offset1 / 10000 + +# import textwrap +# print(textwrap.dedent(f''' +# {_unk0=}, {coarse_section_length=}, {y_res=}, {x_res=}, +# {_zero0=}, {_unk1=}, {_zero1=}, {fine_offset=}, {_unk2=}, {jpeg_length=}, +# {y_res_2=}, {x_res_2=}, {_unk3=} +# {fine_temp_offset1=} {fine_temp_offset1=} {rest=}, {high_gain_mode_flag=}''')) if (x_res, y_res) != (x_res_2, y_res_2) and model != 'p200': raise ValueError(f'Resolution mismatch in header: {x_res}*{y_res} != {x_res_2}*{y_res_2}') @@ -47,7 +53,7 @@ def load(data): coarse_img = np.frombuffer(consume(coarse_section_length), dtype=np.uint8).reshape((y_res, x_res)) # 1/16th Kelvin steps fine_img = np.frombuffer(consume(x_res*y_res*2), dtype=np.uint16).reshape((y_res, x_res)) - fine_img = (fine_img / 16) - 273 + fine_img = (fine_img / 16) - fine_temp_offset vis_jpg = Image.open(io.BytesIO(consume(jpeg_length))) @@ -57,7 +63,7 @@ def load(data): coarse_img = np.frombuffer(consume(coarse_section_length), dtype=np.uint8).reshape((y_res, x_res)) # 0.1 Kelvin steps fine_img = np.frombuffer(consume(x_res*y_res*2), dtype=np.uint16).reshape((y_res, x_res)) - fine_img = fine_img / 10 - 273 + fine_img = fine_img / 10 - fine_temp_offset vis_jpg = Image.open(io.BytesIO(data)) @@ -65,7 +71,7 @@ def load(data): header += consume(128) coarse_img = np.frombuffer(consume(coarse_section_length), dtype=np.uint8).reshape((y_res, x_res)) fine_img = np.frombuffer(consume(x_res*y_res*2), dtype=np.uint16).reshape((y_res, x_res)) - fine_img = fine_img / 10 - 273 + fine_img = fine_img / 10 - fine_temp_offset # In my example file, data now contains the JSON '{"roi":[]}' and no JPG. We ignore that. vis_jpg = None |