我正在尝试创建从Raspberry Pi到多个客户端的视频流。 Flask不支持WSGI服务器,因此我使用cheroot.wsgi
服务器。我已经使用noip创建了ddns服务器,以便通过互联网广播视频流。直到现在,即使我使用wsgi服务器,我也只能将视频提供给一个客户端。
这是视频供稿器
from flask import Flask, render_template, Response
from camera import VideoCamera
import RPi.GPIO as gpio
gpio.setmode(gpio.BCM)
gpio.setup(21, gpio.OUT)
app = Flask(__name__)
def gen(camera):
while True:
frame = camera.get_frame()
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')
@app.route('/')
def index():
return render_template('index.html')
@app.route('/video_feed')
def video_feed():
return Response(gen(VideoCamera()),mimetype='multipart/x-mixed-replace; boundary=frame')
@app.route('/background_process_test')
def background_process_test():
gpio.output(21, gpio.HIGH)
print ("Hello")
return ("nothing")
@app.route('/background_process_test2')
def background_process_test2():
gpio.output(21, gpio.LOW)
print ("Hello")
return ("nothing")
if __name__ == '__main__':
app.run()
这是使用cheroot的wsgi服务器
尝试: 从cheroot.wsgi将服务器导入为WSGIServer,PathInfoDispatcher 除了ImportError: 打印(“确定”) 从cherrypy.wsgiserver导入CherryPyWSGIServer作为WSGIServer,将WSGIPathInfoDispatcher导入到PathInfoDispatcher
from main import app
d = PathInfoDispatcher({'/': app})
server = WSGIServer(('0.0.0.0', 5000), d)
if __name__ == '__main__':
try:
server.start()
except KeyboardInterrupt:
server.stop()
捕获摄像机帧的opencv模块
import cv2
class VideoCamera(object):
def __init__(self):
# Using OpenCV to capture from device 0. If you have trouble capturing
# from a webcam, comment the line below out and use a video file
# instead.
self.video = cv2.VideoCapture(0)
self.video.set(cv2.CAP_PROP_FRAME_WIDTH, 160)
self.video.set(cv2.CAP_PROP_FRAME_HEIGHT, 200)
# If you decide to use video.mp4, you must have this file in the folder
# as the main.py.
# self.video = cv2.VideoCapture('video.mp4')
def __del__(self):
self.video.release()
def get_frame(self):
success, image = self.video.read()
# We are using Motion JPEG, but OpenCV defaults to capture raw images,
# so we must encode it into JPEG in order to correctly display the
# video stream.
ret, jpeg = cv2.imencode('.jpg', image)
return jpeg.tobytes()
最后是提供视频供稿的网页
<!doctype html>
<html>
<head>
<!-- <link rel="shortcut icon" href="1.ico" type="image/x-icon" />-->
<title>jindeath</title>
</head>
<body>
hello
<script src="//ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
<script type=text/javascript>
$(function() {
$('a#test').bind('click', function() {
$.getJSON('/background_process_test',
function(data) {
//do nothing
});
return false;
});
});
$(function() {
$('a#test2').bind('click', function() {
$.getJSON('/background_process_test2',
function(data) {
//do nothing
});
return false;
});
});
</script>
<div class='container'>
<h3>Test</h3>
<form>
<img id="bg" src="{{ url_for('video_feed') }}">
<a href=# id=test><button class='btn btn-default'>Test</button></a>
<a href=# id=test2><button class='btn btn-default'>Test</button></a>
</form>
</body>
</html>
当不止一个设备连接到页面时,我的rpi会使用其CPU的100%。任何建议