实用
https://blog.csdn.net/u012675539/article/details/53306335
第一篇 讲解原理
https://blog.miguelgrinberg.com/post/video-streaming-with-flask
第二篇 加入多线程可以直接用
https://github.com/xitu/gold-miner/blob/master/TODO1/flask-video-streaming-revisited.md
https://zhuanlan.zhihu.com/p/54292646
链接：https://pan.baidu.com/s/16iyO_XR_JhhHn184RVH6Hw
提取码：6dq6
http://shumeipai.nxez.com/2018/07/17/raspberry-pi-cam-pan-tilt-control-over-local-inter.html
树莓派+Flask实现视频流媒体WEB服务器
http://shumeipai.nxez.com/2018/07/03/video-streaming-web-server-with-flask.html
1最简单的模式
opencv
单线程
# main.py
from flask import Flask, render_template, Response
from camera import VideoCamera
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
def gen(camera):
while True:
frame = camera.get_frame()
yield (b'--frame
'
b'Content-Type: image/jpeg
' + frame + b'
')
@app.route('/video_feed')
def video_feed():
return Response(gen(VideoCamera()),
mimetype='multipart/x-mixed-replace; boundary=frame')
if __name__ == '__main__':
app.run(host='0.0.0.0', debug=True)
# camera.py
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)
# 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)
# 对于 python2.7 或者低版本的 numpy 请使用 jpeg.tostring()
return jpeg.tobytes()
<html>
<head>
<title>Video Streaming Demonstration</title>
</head>
<body>
<h1>Video Streaming Demonstration</h1>
<img src="{{ url_for('video_feed') }}">
</body>
</html>