如果还是希望用 opencv video capture 处理，1.可以将视频流使用虚拟摄像头输出，用 opencv 打开即可。
2.使用流媒体协议，opencv video capture 应该也直接支持。
3.使用 videogear 的 netgear ，一个比较简单的例子，具体可以去看文档
server end

```
# import required libraries
from vidgear.gears import VideoGear
from vidgear.gears import NetGear

# open any valid video stream(for e.g `test.mp4` file)
stream = VideoGear(source="test.mp4").start()

# Define Netgear Server with default parameters
server = NetGear()

# loop over until KeyBoard Interrupted
while True:

try:

# read frames from stream
frame = stream.read()

# check for frame if Nonetype
if frame is None:
break

# {do something with the frame here}

# send frame to server
server.send(frame)

except KeyboardInterrupt:
break

# safely close video stream
stream.stop()

# safely close server
server.close()
```

client end

```
# import required libraries
from vidgear.gears import NetGear
import cv2


# define Netgear Client with `receive_mode = True` and default parameter
client = NetGear(receive_mode=True)

# loop over
while True:

# receive frames from network
frame = client.recv()

# check for received frame if Nonetype
if frame is None:
break

# {do something with the frame here}

# Show output window
cv2.imshow("Output Frame", frame)

# check for 'q' key if pressed
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break

# close output window
cv2.destroyAllWindows()

# safely close client
client.close()
```