如何在服务器上将视频数据和对象检测边界框分开发送，然后将它们一起播放？

1. 将视频数据和对象检测边界框分别处理后，将它们一起封装成一个JSON对象，如下所示：

{ 
  "video": [video data], 
  "bounding_box": [object detection bounding box] 
}

2. 在服务器端，使用socket或HTTP协议将该JSON对象发送到客户端，例如：

import socket
import json

# create a socket object
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

# bind the socket to a public host and a port
s.bind(('localhost', 12345))

# listen for incoming connections
s.listen(1)

# accept a connection
conn, addr = s.accept()
print('Connected by', addr)

# read the video data and object detection bounding box
video_data = ...
bounding_box = ...

# pack them in a JSON object
data = {'video': video_data, 'bounding_box': bounding_box}
json_data = json.dumps(data)

# send the JSON object to the client
conn.send(json_data.encode())

# close the connection
conn.close()

3. 在客户端，处理JSON对象，分离视频数据和对象检测边界框，并将它们一起播放，例如：

import socket
import json
import cv2

# create a socket object
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

# connect to the server
s.connect(('localhost', 12345))

# receive the JSON object from the server
json_data = s.recv(1024).decode()
data = json.loads(json_data)

# extract the video data and object detection bounding box
video_data = data['video']
bounding_box = data['bounding_box']

# convert the video data to a numpy array and display it
img_array = np.fromstring(video_data, np.uint8)
img = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
cv2.imshow('Video', img)

# draw the bounding box on the image and display it
for box in bounding_box:
    cv2.rectangle(img, (box