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[arminius <question668667@xxxxxxxxxxxxxxxxxxxxx>]

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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