- added scaling

- show min and max deviation

ocv_corner_tracker.py

@@ -311,9 +311,15 @@ if __name__ == '__main__':
 	# Parse command line args
 	parser = argparse.ArgumentParser(description="Gearbox Tracker")
 	parser.add_argument("filename")
+	parser.add_argument("--scale")
 	args = parser.parse_args()
 	video = cv2.VideoCapture(args.filename)
 
+	# Parse scale
+	scale = 1.0
+	if args.scale is not None:
+		scale = np.float32(args.scale)
+
 	# Let's go
 	colors = [(255, 0, 0), (0, 255, 0), (0, 0, 255), (255, 0, 255), (0, 255, 255), (255, 255, 255)]
 	tracker_count = 0
@@ -337,6 +343,8 @@ if __name__ == '__main__':
 			print('Cannot read video file')
 
 		key_wait = -1
+		dist_min = [[0, 0]]*len(tracker_list)
+		dist_max = [[0, 0]]*len(tracker_list)
 		while True:
 			# Start timer
 			timer = cv2.getTickCount()
@@ -348,8 +356,13 @@ if __name__ == '__main__':
 				for ct in tracker_list:
 					mean_distance = ct.process(image, image_anno)
 					if mean_distance is not None:
-						cv2.putText(image_anno, f"Distance [{i}] : ({mean_distance[0]:+05.2f}, {mean_distance[1]:+05.2f})",
-								(20, 20 + 20 * i), cv2.FONT_HERSHEY_SIMPLEX, 0.5, ct.color, 1)
+						scaled_distance = (scale*mean_distance[0], scale*mean_distance[1])
+						dist_min[i][0] = min(scaled_distance[0], dist_min[i][0])
+						dist_min[i][1] = min(scaled_distance[1], dist_min[i][1])
+						dist_max[i][0] = max(scaled_distance[0], dist_max[i][0])
+						dist_max[i][1] = max(scaled_distance[1], dist_max[i][1])
+						cv2.putText(image_anno, f"Distance [{i}] : ({scaled_distance[0]:+05.2f}, {scaled_distance[1]:+05.2f}), Min: ({dist_min[i][0]:+05.2f}, {dist_min[i][1]:+05.2f}), Max: ({dist_max[i][0]:+05.2f}, {dist_max[i][1]:+05.2f})",
+								(20, 20 + 20 * i), cv2.FONT_HERSHEY_SIMPLEX, 0.8, ct.color, 2)
 					i += 1
 
 				# Calculate Frames per second (FPS)