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NOAA APT sync marker finder
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#!/usr/bin/env python3 | |
import sys | |
from PIL import Image | |
import matplotlib.pyplot as plt | |
SYNCA_SEQ = [False, False, False, False, | |
True, True, False, False, # Pulse 1 | |
True, True, False, False, # Pulse 2 | |
True, True, False, False, # Pulse 3 | |
True, True, False, False, # Pulse 4 | |
True, True, False, False, # Pulse 5 | |
True, True, False, False, # Pulse 6 | |
True, True, False, False, # Pulse 7 | |
False, False, False, False, | |
False, False, False, False]; | |
SYNCB_SEQ = [False, False, False, False, | |
True, True, True, False, False, | |
True, True, True, False, False, | |
True, True, True, False, False, | |
True, True, True, False, False, | |
True, True, True, False, False, | |
True, True, True, False, False, | |
True, True, True, False, False, | |
False]; | |
SYNC_LEN = 40 | |
AVERAGE_ALPHA = 0.25 | |
SYNC_THRESH = 35 | |
def match_seq(buff, seq): | |
pairs = zip(buff, seq) | |
count = sum([1 if (x > 0 and y) or (x < 0 and not y) else 0 for x,y in pairs]) | |
return count | |
def main(): | |
img = Image.open(sys.argv[1]) | |
w, h = img.size | |
img_color = img.convert('RGB') | |
average = 0 | |
buff = [0.0] * SYNC_LEN | |
for y in range(0, h): | |
for x in range(0, w): | |
cur_pixel = img.getpixel((x,y)) | |
sample = cur_pixel / 255.0 | |
average = AVERAGE_ALPHA * sample + (1.0 - AVERAGE_ALPHA) * average; | |
sample = sample - average | |
buff = buff[1:] + [sample] | |
if match_seq(buff, SYNCA_SEQ) > SYNC_THRESH: | |
print("A %d %d" % (x,y)) | |
img_color.putpixel((x,y), (255, 0, 0)) | |
elif match_seq(buff, SYNCB_SEQ) > SYNC_THRESH: | |
img_color.putpixel((x,y), (0, 0, 255)) | |
print("B %d %d" % (x, y)) | |
img_color.save('marked.png') | |
if __name__ == '__main__': | |
main() |
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