calibrate.py should actually be template.py. Calibration will be for printers and plotters. Different process.

fourcell/template.py

@@ -7,6 +7,7 @@ from common import image_resize, display, normalize_angle, read_json
 from json import dumps
 
 DEBUG = True
+registrationMarkThreshold = 0.65
 
 #clockwise from top left
 order = [ 0, 2, 3, 5, 4, 1 ]
@@ -17,7 +18,7 @@ matchMethods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR', 'cv2.TM
 #
 
 if len(sys.argv) < 2:
-	print('Please provide path of normalized scan to calibrate to')
+	print('Please provide path of normalized scan to build template from to')
 	exit(1)
 
 
@@ -34,7 +35,7 @@ if not exists(normalText) :
 	exit(3)
 
 
-print(f'Calibrating to scan {basename(normalImage)}')
+print(f'Building template from scan {basename(normalImage)}')
 
 registrationMark = cv2.imread('./registrationMark.png', 0)
 w, h = registrationMark.shape[:2]
@@ -79,7 +80,7 @@ def find_closest (pt, pts) :
 def find_in_half (half) :
 	halfGray = cv2.cvtColor(half, cv2.COLOR_BGR2GRAY)
 	res = cv2.matchTemplate(halfGray, registrationMark, cv2.TM_CCOEFF_NORMED)
-	threshold = 0.7
+	threshold = registrationMarkThreshold
 	loc = np.where( res >= threshold)
 	for pt in zip(*loc[::-1]):
 		cv2.rectangle(half, pt, (pt[0] + w, pt[1] + h), (0,0,255), 2)
@@ -88,7 +89,17 @@ def find_in_half (half) :
 ttly = holePunches['0']['y']-round(height*0.05)
 ttlx = holePunches['0']['x']
 topHalf = img[ttly:holePunches['1']['y']+round(height*0.1), ttlx:holePunches['2']['x']]
+while True: 
 	topHalfPts = find_in_half(topHalf)
+	if len(topHalfPts) < 12 :
+		registrationMarkThreshold -= 0.05
+		print(f'Found only {len(topHalfPts)}, decreasing threshold to {registrationMarkThreshold}')
+	elif len(topHalfPts) > 12 :
+		registrationMarkThreshold += 0.05
+		print(f'Found {len(topHalfPts)}, increasing threshold to {registrationMarkThreshold}')
+	else :
+		break
+
 thpts = group_points(topHalfPts)
 for pt in thpts :
 	#print(f'{ttlx + pt[0]},{ttly + pt[1]}')
@@ -288,9 +299,9 @@ jsonOut = {
 	}
 }
 
-calibrationFile = f'{normalImage}.calibration.json'
+templateFile = f'{normalImage}.template.json'
 with open(calibrationFile, 'w') as output:
 	output.write(dumps(jsonOut, sort_keys = True, indent = 4))
-	print(f'Wrote calibration file to {calibrationFile}')
+	print(f'Wrote template file to {templateFile}')
 
 display(clean)