add arm build of detect library

run_detect.py

@@ -5,20 +5,23 @@ calibration_width = 0.75
 image = "img7.jpg"
 images = ("img.jpg", "img2.jpg", "img3.jpg", "img4.jpg", "img5.jpg", "img6.jpg", "img7.jpg", "img8.jpg")
 show = False
+video = False
 def go():
     #for file in images:
     detect.detect(calibration_width, "img7.jpg", show)
 
-#elapsed_time = timeit.timeit(go, number=100)/100
-#print(elapsed_time)
-capture = cv2.VideoCapture('tcpclientsrc host=192.168.43.152 port=5000 ! queue ! decodebin ! appsink', cv2.CAP_GSTREAMER)
-while True:
-    ret,frame = capture.read()
+if not video:
+	elapsed_time = timeit.timeit(go, number=3)/3
+	print(elapsed_time)
+else :
+    capture = cv2.VideoCapture('tcpclientsrc host=192.168.43.152 port=5000 ! queue ! decodebin ! appsink', cv2.CAP_GSTREAMER)
+    while True:
+        ret,frame = capture.read()
 
-    if not ret:
-        print('empty frame')
-        break
-    print('frame')
-    cv2.imshow('receive', frame)
-    if cv2.waitKey(1)&0xFF == ord('q'):
-        break
+        if not ret:
+            print('empty frame')
+            break
+        print('frame')
+        cv2.imshow('receive', frame)
+        if cv2.waitKey(1)&0xFF == ord('q'):
+            break