Normalize works, I like it. Image size is the real bandwidth limiter but images look good enough. SHould create a script to onionskin all scans for evaluation. Maybe run the holepunch detection on normal and write text file that prints the centers? Will do that now.

fourcell/normalize.py

@@ -244,7 +244,7 @@ def find_hole_punches (img) :
 	i = 0
 	for hp in holePunches :
 		hp['order'] = i 
-		cv2.putText(img, str(i + 1), (hp['x'], hp['y']), cv2.FONT_HERSHEY_SIMPLEX, 20, (0, 0, 255), 5, cv2.LINE_AA, False)
+		#cv2.putText(img, str(i + 1), (hp['x'], hp['y']), cv2.FONT_HERSHEY_SIMPLEX, 20, (0, 0, 255), 5, cv2.LINE_AA, False)
 		i+=1
 
 	return holePunches
@@ -339,6 +339,62 @@ def crop (img, xoffset, yoffset, w, h) :
 	#crop_img = img[y:y+h, x:x+w].copy()
 	return im[yoffset:yoffset+w, xoffset:xoffset+w].copy()
 
+def normalize_image(blank, rotated, offset, tl) :
+	rotatedHeight, rotatedWidth = rotated.shape[:2]
+	normalHeight, width = blank.shape[:2]
+
+	diffX = offset[0] - tl["x"]
+	diffY = offset[1] - tl["y"]
+
+	print(f'diffX  : {diffX}')
+	print(f'diffY  : {diffY}')
+
+	crop = rotated.copy()
+	if diffX < 0 :
+		crop = crop[0:rotatedHeight, abs(diffX):rotatedWidth]
+		rotatedHeight, rotatedWidth = crop.shape[:2]
+		print('Cropped X')
+		print(f'Rotated: {rotatedWidth},{rotatedHeight}')
+		diffX = 0
+
+	if diffY < 0 :
+		crop = crop[abs(diffY):rotatedHeight, 0:rotatedWidth]
+		rotatedHeight, rotatedWidth = crop.shape[:2]
+		print('Cropped Y')
+		print(f'Rotated: {rotatedWidth},{rotatedHeight}')
+		diffY = 0
+
+	if rotatedWidth > width :
+		crop = crop[0:rotatedHeight, 0:rotatedWidth-(rotatedWidth - width)]
+		rotatedHeight, rotatedWidth = crop.shape[:2]
+		print('Cropped X')
+		print(f'Rotated: {rotatedWidth},{rotatedHeight}')
+
+	if  rotatedHeight > normalHeight :
+		crop = crop[0:rotatedHeight-(rotatedHeight - normalHeight), 0:width]
+		rotatedHeight, rotatedWidth = crop.shape[:2]
+		print('Cropped Y')
+		print(f'Rotated: {rotatedWidth},{rotatedHeight}')
+
+	print(f'diffX  : {diffX}')
+	print(f'diffY  : {diffY}')
+
+	print(f'Rotated: {rotatedWidth},{rotatedHeight}')
+	print(f'Blank  : {width},{normalHeight}')
+
+	cropHeight = normalHeight
+	cropWidth = width 
+
+	if normalHeight > rotatedHeight :
+		cropHeight = rotatedHeight
+
+	if width > rotatedWidth :
+		cropWidth = rotatedWidth
+
+	blank[diffY:cropHeight, diffX:cropWidth] = crop[0:cropHeight-diffY, 0:cropWidth - diffX]
+
+	return blank
+
 if len(sys.argv) < 2:
 	print('Please provide path of scan to normalize')
 	exit(1)
@@ -393,6 +449,10 @@ print(f'Topleft: {tl["x"]},{tl["y"]}')
 print(f'Rotated: {rotatedWidth},{rotatedHeight}')
 print(f'Blank  : {width},{normalHeight}')
 
-cv2.rectangle(blank, offset, (offset[0]+meanRect[0], offset[1]+meanRect[1]), (255, 0, 0), thickness=20)
+#cv2.rectangle(blank, offset, (offset[0]+meanRect[0], offset[1]+meanRect[1]), (255, 0, 0), thickness=20)
 
-display(blank)
+normal = normalize_image(blank, rotated, offset, tl)
+
+print(f'Writing normalized image to {normalImage}')
+cv2.imwrite(normalImage, normal)
+#display(normal)