interior design room with a lot of plants - adobe express ai images
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WebRTC for real-time video and audio streaming, using Python libraries (aiortc, cv2, pyautogui, pyaudio)
WebRTC for real-time video and audio streaming, using Python libraries ( aiortc , cv2 , pyautogui , pyaudio ) Here's a full breakdown of the code, with explanations included for each section. This implementation leverages WebRTC for real-time video and audio streaming, using Python libraries ( aiortc , cv2 , pyautogui , pyaudio ) to capture the screen and audio, and WebSockets for signaling. We'll use a STUN server for NAT traversal and handle SDP offer/answer exchange between peers. Full Code Example import asyncio import websockets import json import cv2 import pyaudio import numpy as np from aiortc import RTCConfiguration, RTCPeerConnection, VideoStreamTrack, AudioStreamTrack # Setup WebRTC connection async def create_peer_connection(): # Create a new PeerConnection pc = RTCPeerConnection( RTCConfiguration(iceServers=[{'urls': 'stun:stun.l.google.com:19302'}]) # STUN server URL ) ...
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