直播监控如何创建

const { createCameraCapture } = require('@tensorflow/tfjs-node-gpu');
const camera = createCameraCapture(0); // 0代表默认摄像头

const { RTCPeerConnection, RTCSessionDescription } = require('wrtc');
const peerConnection = new RTCPeerConnection();

// 添加视频流轨道
camera.then(stream => {
    stream.getTracks().forEach(track => {
        peerConnection.addTrack(track, stream);
    });
});

<video id="remoteVideo" autoplay playsinline></video>
<script>
    const remoteVideo = document.getElementById('remoteVideo');
    peerConnection.ontrack = event => {
        remoteVideo.srcObject = event.streams[0];
    };
</script>

import cv2
import numpy as np

def process_frame(frame):
    # 这里可以添加图像处理逻辑，如物体检测、人脸识别等
    return frame

cap = cv2.VideoCapture('rtsp://your_stream_url')
while True:
    ret, frame = cap.read()
    if not ret:
        break
    processed_frame = process_frame(frame)
    cv2.imshow('Processed Frame', processed_frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()