add show option

main.py

@@ -35,16 +35,19 @@ ap.add_argument("-w", "--width", type=float, required=True,
 	help="width of the left-most object in the image (in inches)")
 ap.add_argument("-n", "--number", type=int, required=False,
 	help="object # to measure (from left to right)")
-ap.add_argument("-s", "--show", type=bool, required=False, 
+ap.add_argument("-s", "--show", action="store_true",
 	help="show on the screen")
 args = vars(ap.parse_args())
-
+args2 = ap.parse_args()
 selected = 2
 if type(args["number"]) == type(selected):
 	selected = args["number"]
 
 # load the image, convert it to grayscale, and blur it slightly
 image = cv2.imread(args["image"])
+if args2.show:
+	cv2.imshow("Image", image)
+	cv2.waitKey(0)
 gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
 gray = cv2.GaussianBlur(gray, (7, 7), 0)
 
@@ -54,7 +57,7 @@ gray = cv2.GaussianBlur(gray, (7, 7), 0)
 edged = cv2.Canny(gray, 50, 100)
 edged = cv2.dilate(edged, None, iterations=1)
 edged = cv2.erode(edged, None, iterations=1)
-if args["show"] == True:
+if args2.show:
 	cv2.imshow("Image", edged)
 	cv2.waitKey(0)
 # find contours in the edge map
@@ -162,7 +165,7 @@ for c in cnts:
 		iteml = sizeVexScrew(iteml)
 		print("Rounded Length: " + str(iteml))
 	# draw the object sizes on the image
-		if args["show"] == True:
+		if args2.show:
 			cv2.putText(orig, "{:.5f}in".format(dimA),
 				(int(tltrX - 15), int(tltrY - 10)), cv2.FONT_HERSHEY_SIMPLEX,
 				0.65, (255, 255, 255), 2)