aiortc | WebRTC and ORTC implementation for Python using asyncio | Reactive Programming library
kandi X-RAY | aiortc Summary
kandi X-RAY | aiortc Summary
WebRTC and ORTC implementation for Python using asyncio
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Top functions reviewed by kandi - BETA
- Parse an SBTP session
- Create an RTCIceCandidate from an SDP string
- Return the IP address from an SDP address
- Split a text file into a list of media and media
- Encode a video frame
- Raise an exception
- Convert from_base to timebase
- Convert buffer into a list of bytes
- Handle incoming packet data
- Open a data channel
- Returns the RTCStats for this connection
- Receive data from the stream
- Send an answer to the receiver
- Add a packet
- Create the SSL context
- Worker function for decoding frames
- Start the stream
- Run an offer
- Encode a single frame
- Handle an RTCP packet
- Create a new RPC session
- Update the rate control state
- Handle an RTP packet
- Start the receiver
- Demultiplexer
- Update the filter
aiortc Key Features
aiortc Examples and Code Snippets
Lines of Code : 2License : Permissive (Apache-2.0)
Copyapt install libavdevice-dev libavfilter-dev libopus-dev libvpx-dev pkg-config libsrtp2-dev
brew install ffmpeg opus libvpx pkg-config
pip install -r requirements.txt
if args.timeout:
print("Timer started")
timer = threading.Timer(
args.timeout,
asyncio.run_coroutine_threadsafe,
args=(client.close(), loop),
)
timer.start()
{'sdp': 'v=0\r\no=- 3841969261 3841969261 IN IP4 0.0.0.0\r\ns=-\r\nt=0 0\r\na=group:BUNDLE 0\r\na=msid-semantic:WMS *\r\nm=video 34067 UDP/TLS/RTP/SAVPF 97 98 99 100 101 102\r\nc=IN \na=sendrecv\r\na=extmap:1 urn:ietf:params:rtp-hdrext:sdeffmpeg -list_devices true -f dshow -i dummy
v4l2-ctl --list-devices
from aiortc import RTCPeerConnection
pc = RTCPeerConnection()
@pc.on("iceconnectionstatechange")
async def on_iceconnectionstatechange():
print(f"ICE connection state is {pc.iceConnectionState}")
if pc.iceConnectionState == "fdecorator = pc.on("iceconnectionstatechange")
async def on_iceconnectionstatechange():
log_info("ICE connection state is %s", pc.iceConnectionState)
if pc.iceConnectionState == "failed":
await pc.close()
pcs.discar@foo
def bar(): ...
def bar(): ...
bar = foo(bar)
@pc.on('datachannel')
def on_datachannel(channel): ...
def on_datachannel(channel): ...
on_datachannel = pc.on('da@routes.get('/video')
async def video_feed(request):
response = web.StreamResponse()
response.content_type = 'multipart/x-mixed-replace; boundary=frame'
await response.prepare(request)
for frame in frames('/dev/video0'):
import argparse
import asyncio
import logging
import time
from aiortc import RTCIceCandidate, RTCPeerConnection, RTCSessionDescription
from aiortc.contrib.signaling import add_signaling_arguments, create_signaling
pc = None
channel = NonCommunity Discussions
Trending Discussions on aiortc
QUESTION
I have an async coroutine that I want to terminate using a timer/thread. The coroutine is based of this example from aiortc.
...ANSWER
Answered 2022-Jan-12 at 00:48This isn't the general solution that I was looking for, I added a timeout variable to the client constructor, and within client.run() I added asyncio.sleep(timeout) which would exit the loop. This is enough for my purposes.
QUESTION
First, I want to mention that I am very new to WebRTC, so any advice would be very helpful.
Currently I am using aiortc library to build my own WebRTC app.
Here is what I am trying to do.
I have 2 peers, one is web browser, which is written in javascript, and another one is python script, which is working as signaling server and peer at the same time. So If you access to my web page, you will send video frame to server and then the server will make modification of that then send it back.
So I finished testing my app on LAN environment and everything worked as I expected. But once I deployed my app to remote server (Google cloud run) , I encountered Ice connection state failing issue. And gets this log on remote server.
(I think it is due to disconnection between peers, not low memory problem. I tried with 16GB RAM and 4 cpus and still didn't work)
Then, I dig into more information, and found that TURN/STUN server is necessary to build WebRTC app over Internet. So I added google STUN server to my RTCPeerConnection like this. [{'urls': 'stun:stun.l.google.com:19302'}, {'urls': 'stun:stun1.l.google.com:19302'}, {'urls': 'stun:stun2.l.google.com:19302'}] (I added both side on javascript and python because both side is working as peer) Unfortunately, it still didn't work.
Now, I am planning to build my own TURN server, but I am afraid if TURN server wouldn't solve this problem. So I would like to have any advice from you since I am quite stuck within my situation.
p.s I have done SSL encryption.(So GetUserMedia is working fine)
Sdp details(Offer/Answer):
SDP
Offer
...ANSWER
Answered 2021-Dec-10 at 15:13If everything work on local, and this ice server are set, verify that your gcloud server have the correct firewall for webrtc port (not only your signaling port, check the sdp/ice you exchange). also this Webrtc page allow you to check is a stun/turn work on your client
You will not need stun on your python side, as it's a server his ip may be public (unless you don't want to). Stun allow to find your public ip and allow the port to remain open.
On your server you need to open your signaling port (certainly the WS where you exchange the sdp) and the P2P port (candidate lines in the sdp), the media/data will go through this one. For each media (sdp m line) there are usually one used port.
QUESTION
I'm using django-channels and aiortc, I want to create server to peer connection as WebRTC.
In my case, if client send the new-peer action, then server send the offer.
And after client receive the offer, client send the answer as new-answer action.
But server can't remember peer, so can't setRemoteDescription.
Of course I know server don't remember, but how do I deal with situations where server need to remember instances like mine?
I also looked for session variables, but it seems that only simple values can be stored, and it doesn't seem to have anything to do with the instance.
Please provide helpful documents or solutions related to this.
consumers.receive method:
...ANSWER
Answered 2021-Nov-19 at 05:49Solved: django session support saving instance to their session.
QUESTION
I'm trying to perform signaling using python websocket, then create peer2peer connection using aiortc, to achieve webRTC-based video streaming using pure python.
I have managed to send an offer from a peer to another and setRemoteDescription successfully.
...ANSWER
Answered 2021-Sep-30 at 05:51I have resolved the issue. Since the initiative peer sends an offer which is json string like:
QUESTION
I'm using a NodeJS server to catch a video stream through a WebRTC PeerConnection and I need to send it to a python script.
I use NodeJS mainly because it's easy to use WebRTC in it and the package 'wrtc' supports RTCVideoSink and python's aiortc doesn't.
I was thinking of using a named pipe with ffmpeg to stream the video stream but 3 questions arose :
Should I use python instead of NodeJS and completely avoid the stream through a named pipe part ? (This means there is a way to extract individual frames from a MediaStreamTrack in python)
If I stick with the "NodeJS - Python" approach, how do I send the stream from one script to the other ? Named pipe ? Unix domain sockets ? And with FFMpeg ?
Finally, for performance purpose I think that sending a stream and not each individual frames is better and simpler but is this true ?
Thanks all !
...ANSWER
Answered 2021-Jun-17 at 10:13Finally, I found that the MediaStreamTrack API of Python's aiortc has recv().
It's a Coroutine that returns the next frame. So I will just port my NodeJS script to python using this coroutine to replace RTCVideoSink. No piping or whatsoever !
QUESTION
Im testing aiortc becouse i wanna stream webcam audio and video to browser but when im trying to run webcam.py i get I/O error I/O error: 'video=Integrated Camera'
...ANSWER
Answered 2021-Apr-21 at 12:52Okey if you get this error you need to check names of your devices with ffmpeg windows
QUESTION
from aiortc import RTCPeerConnection
pc = RTCPeerConnection()
print(pc.connectionState)
ANSWER
Answered 2021-Feb-27 at 16:26aiortc uses pyee for making aiortc event-driven and as you can see in the official GitHub example (webcam/webcam.py), you must put an event listener on an event named iceconnectionstatechange.
Checkout the code snippet below:
QUESTION
websocket_client.py
...ANSWER
Answered 2020-Dec-14 at 18:26This post helps you.
The reason program couldn't stop is that sub threads continue to run even if main thread catches an exception and stop. Note that asyncio is implemented by thread (I pursued codes). There are two kinds of thread in Python, normal thread and daemon thread. The former continues to run if parent thread dies, the latter stops. asyncio is implemented with the former, therefore such this problem happens.
QUESTION
I am trying to implement a real-time webcam service in python so I am looking to aiortc. Looking at examples on the GitHub page, I have found a stranger thing and I can't understand how it works.
On server/server.py on the examples folder, there is an async function with a decorator. The function is never called so I can't understand how the decorator can work.
ANSWER
Answered 2020-Sep-07 at 10:29RTCPeerConnection inherits from AsyncIOEventEmitter (link) from the pyee module. pyee is an event system module. This AsyncIOEventEmitter class is where the on decorator method comes from.
The on_iceconnectionstatechange function is never directly called, but the decorator registers it as an event listener, so it will be called whenever that event is emmited, for example here.
Because of how decorators work, the code snippet in the question is roughly equivalent to:
QUESTION
I was looking around the aiortc examples when I notice a decorator that has a method on it:
...ANSWER
Answered 2020-Aug-06 at 10:37@foo
def bar(): ...
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aiortc
You can use aiortc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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