start conversion to support video frames and return a UUID

main.py

@@ -169,9 +169,12 @@ for c in cnts:
     if pixelsPerMetric is None and circular is True and near(mean_val[0], 16, 4.5):
         # and near(mean_val[0], 63, 40) is True and near(mean_val[1], 108, 40) is True and near(mean_val[2], 104, 40) is True:
         pixelsPerMetric = smaller(dA, dB) / args["width"]
+        continue
 
 
 orig = image.copy()
+objtype = "Unknown"
+objname = ""
 # loop over the contours individually
 for c in cnts:
     #orig = image.copy()
@@ -329,12 +332,16 @@ for c in cnts:
                              ), cv2.FONT_HERSHEY_SIMPLEX,
                             0.55, (255, 255, 255), 2)
             output = ""
+            objname = objtype;
             if objtype == "Unknown":
                 output = "{:.2f}in".format(itemw) + " x {:.2f}in".format(itemh)
             if objtype == "Screw" or objtype == "Standoff":
                 output = str(iteml) + "in"
+                objname += str(iteml)
             if objtype == "Axle":
                 output = "{:.2f}in".format(iteml)
+                objname += str(itemwr)
+            print(objname)
             if circular:
                 cv2.putText(orig, output,  # print data
                             (int(x - 25), int(y + radius + 35)
@@ -348,6 +355,6 @@ for c in cnts:
 
     # show the output image
             cv2.imshow("Item Sorter", orig)
-            cv2.waitKey(25)
+            #cv2.waitKey(1)
 
 cv2.waitKey(0)