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main.py

@@ -1,9 +1,13 @@
 import cv2
 import numpy as np
+
+# Capture device number
 cap = cv2.VideoCapture(1)
+
+# Set capture resolution
 cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
 cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
-max_count = 0
+max_count = 1
 
 # Text
 font = cv2.FONT_HERSHEY_SIMPLEX
@@ -12,31 +16,46 @@ org2 = (50, 90)
 fontScale = 1
 color = (255, 0, 0)
 thickness = 2
+
+# Subwindow size
 scale = 6
+
+# Main loop
 while True:
+    #Grab frame
     ret, src = cap.read()
+
+    # Get sub window size
     center = (int(src.shape[0]/2),int(src.shape[1]/2))
     upper_left = (int(center[1] - src.shape[1]/scale),int(center[0] - src.shape[0]/scale))
     lower_right = (int(center[1] + src.shape[1]/scale),int(center[0] + src.shape[0]/scale))
 
+    # Color conversion
     gray = cv2.cvtColor(src[upper_left[1]:lower_right[1],upper_left[0]:lower_right[0]], cv2.COLOR_BGR2GRAY)
+    # Edge detection
     sobel = cv2.Sobel(gray, cv2.CV_8U, 1, 0, ksize=3)
+    # Thresholding operation
     t, thresh = cv2.threshold(sobel, 200, 255, cv2.THRESH_BINARY)
     count = np.sum(sobel)
     if count > max_count:
         max_count = count
 
+    # Text rendering
     src = cv2.putText(src, 'Max: {}'.format(int(max_count/10000)), org, font, fontScale,
                       color, thickness, cv2.LINE_AA)
     src = cv2.putText(src, 'Current: {:.2f}%'.format((count/max_count)*100 - 0.01), org2, font, fontScale,
                       color, thickness, cv2.LINE_AA)
+    # Subwindow Outline
     src = cv2.rectangle(src, pt1=upper_left, pt2=lower_right, color=(36,255,12), thickness=1)
+
+    #Display of results
     cv2.imshow('tresh', thresh)
     cv2.imshow('src', src)
     cv2.imshow('sobel', sobel)
-    
+
+    # Frame waiting and logic loop    
     k = cv2.waitKey(10)
-    if k == 27:
+    if k == 27: #Escape key to escape
         break
-    elif k == 32:
-        max_count = 0
+    elif k == 32: # Spacebar to reset count
+        max_count = 1