将其他数据嵌入UDP视频流Python OPENCV

Question

I am trying to stream video to be anaylised on clients from a server.

I am using vidgears to create a ffmpeg UDP stream for the clients to connect to.

However, I need to have a centeralised frame count to be able to sync up all the data the clients give.

Client:    
cap = cv2.VideoCapture('udp://localhost:23000')   
while cap.isOpened(): 
    print(cap.get(cv2.CAP_PROP_FRAME_COUNT))

Will only get me the frame count from the time the client connected. 

Is there a way to embed a timecode or frame count when I am stream out the video so I can sync them all up? 

Server:

i = 0
output_params = {"-vcodec": "mpeg4", '-f': 'mpegts'}
streamer = WriteGearStream(output_filename='udp://localhost:23000', compression_mode=True, logging=True, **output_params)
cap = cv2.VideoCapture(0)
while cap1.isOpened():
   i+=1
   ret, frame = cap.read()
   cap.set(cv2.CAP_PROP_POS_FRAMES, i)
   streamer.write(vis)

class WriteGearStream(WriteGear):

def __init__(self, output_filename='', compression_mode=True, custom_ffmpeg='', logging=False, **output_params):
    super(WriteGearStream, self).__init__(output_filename='temp.pm4', compression_mode=compression_mode, custom_ffmpeg=custom_ffmpeg, logging=logging, **output_params)
    self.out_file = output_filename

Does anyone know how to get a frame count that is synced with the server?

Thanks!

Answer 1

I'm the author of VidGear Video Processing python library. This isn't the right way to use the WriteGear API, nor it is designed for this purpose and therefore I'm afraid will not work.

Kindly use VidGear's new NetGear API which is exclusively designed to transfer video frames synchronously between interconnecting systems over the network in real-time. This new API implements a high-level wrapper around PyZmQ python library that contains python bindings for ZeroMQ - a high-performance asynchronous distributed messaging library that aims to be used in distributed or concurrent applications.