Begin the calibrate script which will read the .txt file made by the normalize script. JSON would make more sense.

fourcell/.gitignore

@@ -1 +1,2 @@
 env
+__pycache__

fourcell/calibrate.py

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+import sys
+import cv2
+import numpy as np
+import math
+from os.path import exists, basename
+from common import image_resize, display, normalize_angle
+
+#clockwise from top left
+order = [ 1, 3, 4, 6, 5, 2 ]
+
+def read_text (textPath) :
+	holePunches = {}
+	with open(textPath) as t:
+		for line in t:
+			i = int(line[0])
+			parts = line.split(' : ')
+			vals = parts[1].split(',')
+			holePunches[i] = {
+				'x' : int(vals[0]),
+				'y' : int(vals[1])
+			}
+	return holePunches
+
+#
+# CALIBRATE
+#
+
+if len(sys.argv) < 2:
+	print('Please provide path of normalized scan to calibrate to')
+	exit(1)
+
+if len(sys.argv) < 3:
+	print('Please provide path to output svg template')
+	exit(2)
+
+normalImage = sys.argv[-2]
+
+if not exists(normalImage) :
+	print('Normalized scan does not exist, please provide one that does')
+	exit(2)
+
+normalText = normalImage + '.txt'
+
+if not exists(normalText) :
+	print('Corresponding normalized scan text does not exist, please generate one')
+	exit(3)
+
+outputTmpl = sys.argv[-1]
+
+print(f'Calibrating to scan {basename(normalImage)}')
+
+holePunches = read_text(normalText)
+original = cv2.imread(normalImage)
+img = original.copy()
+height, width = img.shape[:2]
+orientation = height > width
+
+if not orientation :
+	print(f'Scan is not in portrait mode, exiting...')
+	exit(3)
+
+display(img)