video capture and detection working now

detect.py

@@ -164,7 +164,7 @@ def detect(calibration_width, img_file, show, quick):
             cv2.drawContours(orig, [box.astype("int")], -1, (0, 255, 0), 2)
         else:
             circular = True
-            cv2.circle(orig, (int(x), int(y)), int(radius), (0, 255, 0), 2)
+            cv2.circle(orig, (int(x), int(y)), int(radius), (0, 255, 0), 3)
             mask = np.zeros(gray.shape, np.uint8)
             cv2.drawContours(mask, [c], 0, 255, -1)
             #pixelpoints = np.transpose(np.nonzero(mask))
@@ -246,7 +246,7 @@ def detect(calibration_width, img_file, show, quick):
                 #cv2.drawContours(orig, [box.astype("int")], -1, (0, 255, 0), 2)
             else:
                 circular = True
-                cv2.circle(orig, (int(x), int(y)), int(radius), (0, 255, 0), 1)
+                cv2.circle(orig, (int(x), int(y)), int(radius), (255, 0, 0), 2)
 
             objtype = "Unknown"
             itemw = larger(dimA, dimB)
@@ -321,7 +321,7 @@ def detect(calibration_width, img_file, show, quick):
                 swap(ypos, ypos2)
             if rectangular:
                 cv2.line(orig, (int(xpos), int(ypos)),
-                         (int(xpos2), int(ypos2)), (0, 255, 0), 1)
+                         (int(xpos2), int(ypos2)), (255, 127, 0), 2)
             # print(str(iteml))
             # draw the object sizes on the image
             if show or True: