yoloとrealsenseのdepthの読み取りでruntimeerrorが出てしまいます。

yoloとrealsenseのdepthの読み取りでruntimeerrorが出てしまいます。
デスクトップPC,Corei5-7400では下記のコードで動くのですが、Lattepandaalphaでは下記のRuntimeerrorが出てしまいます。考えられる原因等ありましたら、教えていただけると幸いです。```python
コード

import
1from darkflow.net.build import TFNet
2import cv2
3import numpy as np
4
5options = {"model": "cfg/yolo.cfg", "load": "bin/yolo.weights", "threshold": 0.1}
6tfnet = TFNet(options)
7
8class_names = ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle',
9              'bus', 'car', 'cat', 'chair', 'cow', 'diningtable',
10              'dog', 'horse', 'motorbike', 'person', 'pottedplant',
11              'sheep', 'sofa', 'train', 'tvmonitor']
12
13num_classes = len(class_names)
14class_colors = []
15for i in range(0, num_classes):
16    hue = 255*i/num_classes
17    col = np.zeros((1,1,3)).astype("uint8")
18    col[0][0][0] = hue
19    col[0][0][1] = 128
20    col[0][0][2] = 255
21    cvcol = cv2.cvtColor(col, cv2.COLOR_HSV2BGR)
22    col = (int(cvcol[0][0][0]), int(cvcol[0][0][1]), int(cvcol[0][0][2]))
23    class_colors.append(col)
24
25config = rs.config()
26config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
27config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
28
29pipeline = rs.pipeline()
30profile = pipeline.start(config)
31
32try:
33    while True:
34        frames = pipeline.wait_for_frames()
35        depth_frame = frames.get_depth_frame()
36        color_frame = frames.get_color_frame()
37        if not depth_frame or not color_frame:
38            continue
39
40        depth_image = np.asanyarray(depth_frame.get_data())
41        color_image = np.asanyarray(color_frame.get_data())
42
43        result = tfnet.return_predict(color_image)
44           
45        for item in result:
46            tlx = item['topleft']['x']
47            tly = item['topleft']['y']
48            brx = item['bottomright']['x']
49            bry = item['bottomright']['y']
50            label = item['label']
51            meters = depth_frame.get_distance(tlx+int(brx-tlx/2), bry+int(tly-bry/2))
52            dep = item['confidence']
53
54            if dep > 0.4:
55
56                for i in class_names:
57                    if label == i:
58                        class_num = class_names.index(i)
59                        break
60
61                box_color = (255, 128, 0)
62                cv2.rectangle(color_image, (tlx, tly), (brx, bry), box_color, 2)
63
64                text = label + " " + ('%.2f' % meters)
65                cv2.rectangle(color_image, (tlx, tly - 15), (tlx + 100, tly + 5), box_color, -1)
66                cv2.putText(color_image, text, (tlx, tly), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,0,0), 1)
67        
68                cv2.imshow("Show FLAME Image", color_image)
69
70                k = cv2.waitKey(10);
71                if k == ord('q'):  break;
72
73finally:
74        pipeline.stop()
75        cv2.destroyAllWindows()
76
77<<<<エラー>>>>
78RuntimeError: out of range value for argument "y"
79(RuntimeError: out of range value for argument "x"となる場合あり)
80該当箇所　meters = depth_frame.get_distance(tlx+int(brx-tlx/2), bry+int(tly-bry/2))