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POOpenCV find coloured in circle and position value Python
 

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    <p>What I'm trying to do is process the attendance sheet below to tell me who's there and who's not <img src="https://i.stack.imgur.com/uYcGC.png" alt="Attendance Sheet"></p> <p>I'm currently using matchTemplate using a singular black dot which finds all the filled in dots (image is first converted to grey scale). Image below</p> <p><img src="https://i.stack.imgur.com/NoMdz.png" alt="Dots Matched"></p> <p>Then I get manipulate the matchPattern array and get approximately the center of each in the y direction and I can see where there are gaps corresponding to missing students.</p> <p>The issue I am having is that sure this sorta works for perfect input but my goal is to be able to take a picture of the physical piece of paper and process this? Note: the attendance sheet is made by me so it can be changed/modified however necessary.</p> <p>I have attached an example image to match seen below. <img src="https://i.stack.imgur.com/TCSTi.jpg" alt="test match"> Using my current method is just a disaster (seen below). Now I'm not sure where to go from here I tried modifying the threshold but past .65 it fails to find any images. <img src="https://i.stack.imgur.com/xX0qM.jpg" alt="fail"></p> <pre><code>import cv2 import numpy as np from matplotlib import pyplot as plt values = [] img_rgb = cv2.imread('/home/user/Downloads/input.png') img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY) template = cv2.imread('/home/user/Downloads/input_2.png',0) w, h = template.shape[::-1] res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED) threshold = 0.6 loc = np.where( res &gt;= threshold) for pt in zip(*loc[::-1]): cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,0,255), 2) values.append(pt[1]+h/2) cv2.imwrite('output.png',img_rgb) values.sort() pivot = values[0] count = 1 total = values[0] cleaned = [] for x in range(1,len(values)): if(values[x] &lt; pivot+20): pivot = values[x] count = count + 1 total = total + values[x] else: print values[x] cleaned.append(int(total/count)) pivot = values[x] count = 1 total = values[x] if x == len(values)-1: cleaned.append(int(total/count)) print values print cleaned </code></pre> <p>Here is another test image: <img src="https://i.stack.imgur.com/Qcy5R.jpg" alt="enter image description here"></p>
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