之前也推过流到前端页面,也是用的websocket技术,但是需要另外的插件、且前端展示较为复杂。这次采用python+node.js+websocket进行推流。 1.下载node.js,如图所示为node.js文件夹 server.js内容如下:
let WebSocketServer = require('ws').Server,
wss = new WebSocketServer({ port: 3303});
wss.on('connection', function (ws) {
console.log('客户端已连接');
ws.on('message', function (message) {
wss.clients.forEach(function each(client) {
client.send(message);
});
console.log(message.length);
});
});
player.html文件内容如下:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body>
<div>
<img id="resImg" src="" />
</div>
<script src="jquery.min.js" ></script>
<script>
let ws = new WebSocket("ws://127.0.0.1:3303/");
ws.onopen = function(evt) {
console.log("Connection open ...");
ws.send("Hello WebSockets!");
};
ws.onmessage = function(evt) {
$("#resImg").attr("src",evt.data);
console.log( "Received Message: " + evt.data);
// ws.close();
};
ws.onclose = function(evt) {
console.log("Connection closed.");
};
</script>
</body>
</html>
2.node环境下运行server.js文件,在node安装目录下输入cmd进行命令行,并运行命令node server.js 运行成功如下图所示: 3.执行ython代码,代码如下,因为我这个是用spyder编辑器运行的所以需要添加import nest_asyncio nest_asyncio.apply()这两行代码,如果不是spyder编辑器运行需要把这两行去掉。
"""
Created on Mon Jul 19 15:00:20 2021
@author: 24281
"""
import asyncio
import nest_asyncio
nest_asyncio.apply()
import websockets
import base64
from cv2 import cv2
import numpy as np
capture = cv2.VideoCapture("rtmp://58.200.131.2:1935/livetv/hunantv")
if not capture.isOpened():
print('quit')
quit()
ret, frame = capture.read()
encode_param=[int(cv2.IMWRITE_JPEG_QUALITY),95]
async def send_msg(websocket):
global ret,frame
while ret:
result, imgencode = cv2.imencode('.jpg', frame, encode_param)
data = np.array(imgencode)
img = data.tostring()
img = base64.b64encode(img).decode()
await websocket.send("data:image/jpeg;base64,"+img)
ret, frame = capture.read()
async def main_logic():
async with websockets.connect('ws://127.0.0.1:3303') as websocket:
await send_msg(websocket)
loop = asyncio.get_event_loop()
result = loop.run_until_complete(main_logic())
4.打开player.html页面,湖南卫视拉流页面如下图所示: 下次加上目标检测!
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