diff --git a/Vision/camera_coordinate_dete_img.py b/Vision/camera_coordinate_dete_img.py
index 125ccd2..1434db9 100644
--- a/Vision/camera_coordinate_dete_img.py
+++ b/Vision/camera_coordinate_dete_img.py
@@ -23,17 +23,17 @@ class Detection:
     def __init__(self, use_openvino_model = True):
         self.use_openvino_model = use_openvino_model
         if self.use_openvino_model == False:
-            model_path = ''.join([os.getcwd(), '/model/pt/best.pt'])
+            model_path = ''.join([os.getcwd(), '/Vision/model/pt/best.pt'])
             device = 'cpu'
             self.model = yolov8_segment()
             self.model.load_model(model_path, device)
         else:
-            model_path = ''.join([os.getcwd(), '/model/openvino/best.xml'])
+            model_path = ''.join([os.getcwd(), '/Vision/model/openvino/best.xml'])
             device = 'CPU'
             self.model = yolov8_segment_openvino(model_path, device, conf_thres=0.3, iou_thres=0.3)
 
-        img_path = ''.join([os.getcwd(), '/model/data/test0911.png'])
-        point_path = ''.join([os.getcwd(), '/model/data/test0911.xyz'])
+        img_path = ''.join([os.getcwd(), '/Vision/model/data/test0910.png'])
+        point_path = ''.join([os.getcwd(), '/Vision/model/data/test0910.xyz'])
         self.img = cv2.imread(img_path)
         self.point = np.loadtxt(point_path).reshape((1080, 1440, 3))
 
diff --git a/get_position_test.py b/get_position_test.py
new file mode 100644
index 0000000..70778dd
--- /dev/null
+++ b/get_position_test.py
@@ -0,0 +1,26 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+'''
+# @Time    : 2024/9/7 11:49
+# @Author  : hjw
+# @File    : get_position_test.py
+'''
+from Vision.camera_coordinate_dete_img import Detection
+from Trace.handeye_calibration import *
+
+import cv2
+
+detection = Detection()
+
+while True:
+    ret, img, xyz, nx_ny_nz = detection.get_position()
+    if ret==1:
+        print('xyz点云坐标：', xyz)
+        print('nx_ny_nz法向量：', nx_ny_nz)
+        img = cv2.resize(img,(720, 540))
+        transformation_matrix = R_matrix(521.534, 0.705, 850.03, 0.0, 90.0, 0.0)   # (x, y, z, u, v, w)
+        target_position, noraml_base = getPosition(xyz[0], xyz[1], xyz[2], nx_ny_nz[0], nx_ny_nz[1], nx_ny_nz[2], transformation_matrix)
+        print("target_position:", target_position)
+        print("noraml_base", noraml_base)
+        cv2.imshow('img', img)
+        cv2.waitKey(0)
\ No newline at end of file