我在使用多线程需要同时对来自同一个摄像头的视频流进行处理，但是发现视频输出端口只能接一个线程，原因是因为不能共享udp端口。怎样解决gstreamer的端口复用的问题?感谢您的回答
代码如下：
import cv2
import gi
import numpy as np
gi.require_version('Gst', '1.0')
from gi.repository import Gst
class Video():
"""BlueRov video capture class constructor
Attributes:
port (int): Video UDP port
video_codec (string): Source h264 parser
video_decode (string): Transform YUV (12bits) to BGR (24bits)
video_pipe (object): GStreamer top-level pipeline
video_sink (object): Gstreamer sink element
video_sink_conf (string): Sink configuration
video_source (string): Udp source ip and port
latest_frame (np.ndarray): Latest retrieved video frame
"""
def __init__(self, port=5600):
"""Summary
Args:
port (int, optional): UDP port
"""
Gst.init(None)
self.port = port
self.latest_frame = self._new_frame = None
# [Software component diagram](https://www.ardusub.com/software/components.html)
# UDP video stream (:5600)
self.video_source = 'udpsrc port={}'.format(self.port)
# [Rasp raw image](http://picamera.readthedocs.io/en/release-0.7/recipes2.html#raw-image-capture-yuv-format)
# Cam -> CSI-2 -> H264 Raw (YUV 4-4-4 (12bits) I420)
self.video_codec = '! application/x-rtp, payload=96 ! rtph264depay ! h264parse ! avdec_h264'
# Python don't have nibble, convert YUV nibbles (4-4-4) to OpenCV standard BGR bytes (8-8-8)
self.video_decode = \
'! decodebin ! videoconvert ! video/x-raw,format=(string)BGR ! videoconvert'
# Create a sink to get data
self.video_sink_conf = \
'! appsink emit-signals=true sync=false max-buffers=2 drop=true'
self.video_pipe = None
self.video_sink = None
self.run()
def start_gst(self, config=None):
""" Start gstreamer pipeline and sink
Pipeline description list e.g:
[
'videotestsrc ! decodebin', \
'! videoconvert ! video/x-raw,format=(string)BGR ! videoconvert',
'! appsink'
]
Args:
config (list, optional): Gstreamer pileline description list
"""
if not config:
config = \
[
'videotestsrc ! decodebin',
'! videoconvert ! video/x-raw,format=(string)BGR ! videoconvert',
'! appsink'
]
command = ' '.join(config)
self.video_pipe = Gst.parse_launch(command)
self.video_pipe.set_state(Gst.State.PLAYING)
self.video_sink = self.video_pipe.get_by_name('appsink0')
@staticmethod
def gst_to_opencv(sample):
"""Transform byte array into np array
Args:
sample (TYPE): Description
Returns:
TYPE: Description
"""
buf = sample.get_buffer()
caps_structure = sample.get_caps().get_structure(0)
array = np.ndarray(
(
caps_structure.get_value('height'),
caps_structure.get_value('width'),
3
),
buffer=buf.extract_dup(0, buf.get_size()), dtype=np.uint8)
return array
def frame(self):
""" Get Frame
Returns:
np.ndarray: latest retrieved image frame
"""
if self.frame_available:
self.latest_frame = self._new_frame
# reset to indicate latest frame has been 'consumed'
self._new_frame = None
return self.latest_frame
def frame_available(self):
"""Check if a new frame is available
Returns:
bool: true if a new frame is available
"""
return self._new_frame is not None
def run(self):
""" Get frame to update _new_frame
"""
self.start_gst(
[
self.video_source,
self.video_codec,
self.video_decode,
self.video_sink_conf
])
self.video_sink.connect('new-sample', self.callback)
def callback(self, sink):
sample = sink.emit('pull-sample')
self._new_frame = self.gst_to_opencv(sample)
return Gst.FlowReturn.OK
cap1 = Video()
cap2 = Video()
报错如下：
希望大家给出一些建议
