diff --git a/ocv_find_corners.py b/ocv_find_corners.py
index 1b4aa3a..fc852a0 100644
--- a/ocv_find_corners.py
+++ b/ocv_find_corners.py
@@ -32,12 +32,7 @@ def goodFeaturesToTrack_Demo(val):
 	print('** Number of corners detected:', corners.shape[0])
 	radius = 4
 	for i in range(corners.shape[0]):
-		cv.circle(copy, (int(corners[i, 0, 0]), int(corners[i, 0, 1])), radius,
-				  (rng.randint(0, 256), rng.randint(0, 256), rng.randint(0, 256)), cv.FILLED)
-
-	# Show what you got
-	cv.namedWindow(source_window)
-	cv.imshow(source_window, copy)
+		cv.circle(copy, (int(corners[i, 0, 0]), int(corners[i, 0, 1])), radius, (0, 0, 255))
 
 	# Set the needed parameters to find the refined corners
 	winSize = (5, 5)
@@ -50,7 +45,11 @@ def goodFeaturesToTrack_Demo(val):
 	# Write them down
 	for i in range(corners.shape[0]):
 		print(" -- Refined Corner [", i, "] (", corners[i, 0, 0], ",", corners[i, 0, 1], ")")
+		cv.circle(copy, (int(corners[i, 0, 0]), int(corners[i, 0, 1])), radius, (0, 255, 0))
 
+	# Show what you got
+	cv.namedWindow(source_window)
+	cv.imshow(source_window, copy)
 
 # Load source image and convert it to gray
 parser = argparse.ArgumentParser(description='Code for Shi-Tomasi corner detector tutorial.')
@@ -66,7 +65,7 @@ src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
 
 # Create a window and a trackbar
 cv.namedWindow(source_window)
-maxCorners = 10  # initial threshold
+maxCorners = 100  # initial threshold
 cv.createTrackbar('Threshold: ', source_window, maxCorners, maxTrackbar, goodFeaturesToTrack_Demo)
 cv.imshow(source_window, src)
 goodFeaturesToTrack_Demo(maxCorners)