Skip to content

Instantly share code, notes, and snippets.

@kdmukai

kdmukai/qr_density_calcs.py

Last active November 4, 2024 16:31
Show Gist options
  • Save kdmukai/5b696635ed3c68d2784aabe7ea62cef2 to your computer and use it in GitHub Desktop.
Save kdmukai/5b696635ed3c68d2784aabe7ea62cef2 to your computer and use it in GitHub Desktop.
Download ZIP
Utility to brute force calculate target QR code densities for given QR formats and output display resolutions
Raw
qr_density_calcs.py
"""
Utility to brute force calculate target QR code densities for given QR formats and output
display resolutions.
"""
"""
density | qr size | char capacity | px per module
10 | 33x33 | 114 | 7.15 # L
26 | 33x33 | 154 | 7.15
30 | 37x37 | 154 | 6.38 # M
46 | 37x37 | 195 | 6.38
69 | 41x41 | 224 | 5.76
82 | 45x45 | 279 | 5.24
111 | 49x49 | 335 | 4.82
120 | 53x53 | 335 | 4.45 # H
138 | 53x53 | 395 | 4.45
171 | 57x57 | 468 | 4.14
209 | 61x61 | 535 | 3.87
246 | 65x65 | 619 | 3.63
283 | 69x69 | 667 | 3.42
314 | 73x73 | 758 | 3.23
354 | 77x77 | 854 | 3.06
404 | 81x81 | 938 | 2.91
472 | 85x85 | 1046 | 2.78
515 | 89x89 | 1153 | 2.65
566 | 93x93 | 1249 | 2.54
629 | 97x97 | 1352 | 2.43
708 | 101x101 | 1588 | 2.34
809 | 109x109 | 1704 | 2.17
944 | 113x113 | 1990 | 2.09
999 | 121x121 | 1990 | 1.95
Results for 240px display:
density | qr size | char capacity | px per module
10 | 33x33 | 114 | 7.15
26 | 33x33 | 154 | 7.15 # 7px per module
46 | 37x37 | 195 | 6.38
69 | 41x41 | 224 | 5.76 # 6px per module
82 | 45x45 | 279 | 5.24
111 | 49x49 | 335 | 4.82 # 5px per module
138 | 53x53 | 395 | 4.45
171 | 57x57 | 468 | 4.14
209 | 61x61 | 535 | 3.87 # 4px per module
246 | 65x65 | 619 | 3.63
283 | 69x69 | 667 | 3.42
314 | 73x73 | 758 | 3.23
354 | 77x77 | 854 | 3.06 # 3px per module
404 | 81x81 | 938 | 2.91
472 | 85x85 | 1046 | 2.78
515 | 89x89 | 1153 | 2.65
566 | 93x93 | 1249 | 2.54
629 | 97x97 | 1352 | 2.43
708 | 101x101 | 1588 | 2.34
809 | 109x109 | 1704 | 2.17
944 | 113x113 | 1990 | 2.09
999 | 121x121 | 1990 | 1.95 # 2px per module
density | qr size | char capacity | px per module
10 | 33x33 | 114 | 7.15
27 | 33x33 | 154 | 7.15 +1
47 | 37x37 | 195 | 6.38 +1
68 | 41x41 | 224 | 5.76 +1
85 | 45x45 | 279 | 5.24 +3
114 | 49x49 | 335 | 4.82 +3
142 | 53x53 | 395 | 4.45 +4
171 | 57x57 | 468 | 4.14
214 | 61x61 | 535 | 3.87 +5
244 | 65x65 | 619 | 3.63 +2
285 | 69x69 | 667 | 3.42 +2
342 | 73x73 | 758 | 3.23 +28
428 | 77x77 | 938 | 3.06 +74
570 | 85x85 | 1249 | 2.78 +98
856 | 97x97 | 1853 | 2.43 +227
999 | 117x117 | 1853 | 2.02 n/a
density | qr size | char capacity | px per module
26 | 33x33 | 154 | 7.15
69 | 41x41 | 224 | 5.76
111 | 49x49 | 335 | 4.82
209 | 61x61 | 535 | 3.87
354 | 77x77 | 854 | 3.06
999 | 121x121 | 1990 | 1.95
qr_density 10 = 33x33
qr_density 30 = 37x37
qr_density 120 = 53x53
"""
import os
from seedsigner.models.encode_qr import UrPsbtQrEncoder, UrXpubQrEncoder
from embit import psbt
from binascii import a2b_base64
# keys: max char capacity
# values: QR module size
QR_CAPACITY__ALPHANUMERIC_L = {
25: 21,
47: 25,
77: 29,
114: 33,
154: 37,
195: 41,
224: 45,
279: 49,
335: 53,
395: 57,
468: 61,
535: 65,
619: 69,
667: 73,
758: 77,
854: 81,
938: 85,
1046: 89,
1153: 93,
1249: 97,
1352: 101,
1460: 105,
1588: 109,
1704: 113,
1853: 117,
1990: 121,
2132: 125,
2223: 129,
2369: 133,
2528: 137,
2677: 141,
2840: 145,
3009: 149,
3183: 153,
3351: 157,
3537: 161,
}
def ur_psbt_qr_encoder(screen_width: int = 240, screen_height: int = 240, min_density: int = 10, max_density: int = 1000):
base64_psbt = "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"
tx = psbt.PSBT.parse(a2b_base64(base64_psbt))
total_available_pixels = min(screen_width, screen_height)
border = 2 # TODO: make this a GUIConstant
available_pixels = total_available_pixels - border * 2
# max_qr_modules = available_pixels // 2 # must have at least 2 pixels per QR module
max_qr_modules = available_pixels
qr_img_output_dir = os.path.join(os.getcwd(), "imgs")
os.mkdir(qr_img_output_dir) if not os.path.exists(qr_img_output_dir) else None
max_density_for_qr_modules = []
prev_num_modules = 0
pixels_per_qr_block = 0
for density in range(min_density, max_density):
e = UrPsbtQrEncoder(psbt=tx, max_fragment_len=density)
e.ur2_encode.fountain_encoder.seq_num = e.seq_len() - 1 # final part will max out the sequence number
fragment = e.next_part()
eligible_qr_modules = [(k, v) for k, v in QR_CAPACITY__ALPHANUMERIC_L.items() if k >= len(fragment) and v <= max_qr_modules]
if not eligible_qr_modules:
print(f"density (max_fragment_size) ({density}) is too large for available QR module size")
break
qr_capacity, num_qr_modules = eligible_qr_modules[0]
if num_qr_modules != prev_num_modules or density in [10, 30, 120]:
img = e.part_to_image(fragment, width=screen_width, height=screen_height, border=border)
if prev_num_modules == 0 or density in [10, 30, 120]:
pixels_per_qr_block = available_pixels / num_qr_modules
max_density_for_qr_modules.append((density, num_qr_modules, qr_capacity, pixels_per_qr_block))
img.save(os.path.join(qr_img_output_dir, f"{density:03}__{num_qr_modules}x{num_qr_modules}.png"))
else:
max_density_for_qr_modules.append((density - 1, prev_num_modules, qr_capacity, pixels_per_qr_block))
img.save(os.path.join(qr_img_output_dir, f"{density - 1:03}__{prev_num_modules}x{prev_num_modules}.png"))
prev_num_modules = num_qr_modules
pixels_per_qr_block = available_pixels / num_qr_modules
# print(f"{density=:4} | {len(fragment)=} | QR size: {qr_modules}x{qr_modules} | {pixels_per_qr_block=:.2f}")
max_density_for_qr_modules.append((density, num_qr_modules, qr_capacity, pixels_per_qr_block))
img.save(os.path.join(qr_img_output_dir, f"{density:03}__{num_qr_modules}x{num_qr_modules}.png"))
print(f"{'density'} | {'qr size'} | {'char capacity'} | {'px per module'}")
for density, num_qr_modules, qr_capacity, pixels_per_qr_block in max_density_for_qr_modules:
print(f"{density:>7} | {str(num_qr_modules) + 'x' + str(num_qr_modules):>7} | {qr_capacity:13} | {pixels_per_qr_block:>13.2f}")
# cnt = 0
# max_len = 0
# longest = None
# while cnt <= 10:
# fragment = e.next_part()
# if len(fragment) > max_len:
# longest = fragment
# max_len =len(fragment)
# # e.part_to_image(fragment, 240, 240)
# cnt += 1
# print(f"{density=:4} | {max_len=:4} | {max_len - density*2=} | {longest=}")
if __name__ == "__main__":
ur_psbt_qr_encoder()
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment