New question #668667 on Sikuli:
https://answers.launchpad.net/sikuli/+question/668667
So this is an example of the code I'm working with, the real code has twenty
images, but I've simplified it to three.
mySimilarity = 0.86
count = 0
main_address = r"C:\Users\USER_ADDRESS\4thloop"
while True:# Searching......at the 4th loop. LAST ADDED 13 04
2018
while (count < 10): # Reduce the Match by 9 percent.
if
exists(Pattern(Pattern("1519473664449.png").targetOffset(1,-22)).similar(mySimilarity)):
print('found 1st image at similarity %f') %
mySimilarity
first_image_used = main_address +
r"\first_image_used.txt"
file = open(first_image_used)
current_amount_of_times_image_used = file.read()
file.close()
new_current_amount_of_times_image_used = int(1) +
int(current_amount_of_times_image_used)
print('Number of times this image has been found %f')
% new_current_amount_of_times_image_used
text = str(new_current_amount_of_times_image_used)
f = open(first_image_used, 'w')
f.write(text)
f.flush()
f.close()
break
elif
exists(Pattern(Pattern("1525270211713.png").targetOffset(1,-21)).similar(mySimilarity)):
print('found 2nd image at similarity %f') %
mySimilarity
second_image_used = main_address +
r"\second_image_used.txt"
file = open(second_image_used)
current_amount_of_times_image_used = file.read()
file.close()
new_current_amount_of_times_image_used = int(1) +
int(current_amount_of_times_image_used)
print('Number of times this image has been found %f')
% new_current_amount_of_times_image_used
text = str(new_current_amount_of_times_image_used)
f = open(second_image_used, 'w')
f.write(text)
f.flush()
f.close()
break
elif
exists(Pattern(Pattern("1525274687366.png").targetOffset(1,-22)).similar(mySimilarity)):
print('found 3rd image at similarity %f') %
mySimilarity
third_image_used = main_address +
r"\third_image_used.txt"
file = open(third_image_used)
current_amount_of_times_image_used = file.read()
file.close()
new_current_amount_of_times_image_used = int(1) +
int(current_amount_of_times_image_used)
print('Number of times this image has been found %f')
% new_current_amount_of_times_image_used
text = str(new_current_amount_of_times_image_used)
f = open(third_image_used, 'w')
f.write(text)
f.flush()
f.close()
break
else:
count = count + 1
mySimilarity = mySimilarity - 0.01 # reduce by 1%
print('mySimilarity is %f') % mySimilarity
if count > 8:
print('none of the images found.')
popup('none of the images found.')
continue # retry from the beginning
break
When "none of the images found" is printed excessively I go looking for the
corresponding text file with a zero in it, I replace the image, then start the
program over from the beginning, all up that wastes about 10 minutes.
So I've discovered the screen capture feature, so I figure I can automate the
process by having a new screenshot taken of images as they are found, but I'm
not sure how to return the dimensions of a found image.
Once I know how to return the dimensions of a found image I can update the
least recognized images.
Hope that made sense.
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