add code

+import serial
+import cv2
+from time import sleep
+import numpy as np
+import ocr_image
+import findDB
+
+ser = serial.Serial('/dev/ttyAMA0',115200)
+if(ser.isOpen()):
+	print("Serial Communication in operation")
+
+LiveCam = cv2.VideoCapture(0)
+YOLO_net = cv2.dnn.readNet('yolov3-tiny_best.weights','yolov3-tiny.cfg')
+
+classes = ['box']
+layer_names = YOLO_net.getLayerNames()
+output_layers = [layer_names[i[0] - 1] for i in YOLO_net.getUnconnectedOutLayers()]
+
+frame_num = 0
+count = 0
+while LiveCam.isOpened():
+    
+    ret, frame = LiveCam.read()
+    if ret is False:
+        print("No Video Input")
+        break
+    if frame_num != 20:
+        frame_num += 1
+    elif frame_num == 20:
+        frame_num = 0
+
+        h, w, c = frame.shape
+       
+        blob = cv2.dnn.blobFromImage(frame, 0.00392, (416, 416), (0, 0, 0), True, crop=False)
+        YOLO_net.setInput(blob)
+        outs = YOLO_net.forward(output_layers)
+
+        class_ids = []
+        confidences = []
+        boxes = []
+
+        for out in outs:
+
+            for detection in out:
+
+                scores = detection[5:]
+                class_id = np.argmax(scores)
+                confidence = scores[class_id]
+
+                if confidence > 0.4:
+                    center_x = int(detection[0] * w)
+                    center_y = int(detection[1] * h)
+                    dw = int(detection[2] * w)
+                    dh = int(detection[3] * h)
+                    x = int(center_x - dw / 2)
+                    y = int(center_y - dh / 2)
+                    boxes.append([x, y, dw, dh])
+                    confidences.append(float(confidence))
+                    class_ids.append(class_id)
+
+        indexes = cv2.dnn.NMSBoxes(boxes, confidences, 0.45, 0.4)
+
+       
+        if confidences :
+            bestscore = confidences.index(max(confidences))
+            best_x, best_y, best_w, best_h = boxes[bestscore]
+            
+            if best_x > 310 :
+                print("오른쪽으로 이동")
+                ser.write(serial.to_bytes([int('1',16)]))
+
+            elif best_x + best_w < 330 :
+                print("왼쪽으로 이동")
+                ser.write(serial.to_bytes([int('2',16)]))
+
+            else :
+                print("직진")
+                count = 1
+
+
+            cv2.rectangle(frame, (best_x, best_y), (best_x + best_w, best_y + best_h), (0, 0, 255), 5)
+            cv2.putText(frame, 'box', (best_x, best_y - 20), cv2.FONT_ITALIC, 0.5, (255, 255, 255), 1)
+
+        cv2.imshow("YOLOv3", frame)
+        if count == 1 :
+            if cv2.waitKey(100) > 0 :
+                cv2.imwrite('cap_img.jpg', frame)
+                ser.write(serial.to_bytes([int('3',16)]))
+                break
+            
+
+        if cv2.waitKey(100) > 0:
+            break
+
+
+image = cv2.imread("cap_img.jpg")
+template = cv2.imread("myform.jpg")
+
+ocr_result = ocr_image.ocr(image, template)
+
+(name, result) = ocr_result["name"]
+(address, result) = ocr_result["address"]
+(detail_address, result) = ocr_result["detail_address"]
+
+name = name.replace(" ","")
+address = address.replace(" ","")
+detail_address = detail_address.replace(" ","")
+
+print(name)
+print(address)
+print(detail_address)
+
+name = findDB.find_name(name)
+detail_address = findDB.find_address(detail_address)
+
+destination_num = findDB.set_destination(name, detail_address)
+print (destination_num)
+
+sleep(5)
+
+while(1) : 
+    ser.write(serial.to_bytes([int('6',16)]))
+
+
+