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)
return jpeg.tobytes()main.py
import os
from flask import Flask, render_template, Response, make_response
from camera import VideoCamera
app = Flask(__name__)
#相机推流
def gen(camera):
while True:
frame = camera.get_frame()
yield (b'--frame
'
b'Content-Type: image/jpeg
' + frame + b'
')
#相机喂流
@app.route('/video_feed')
def video_feed():
return Response(gen(VideoCamera()),
mimetype='multipart/x-mixed-replace; boundary=frame')
#当前实时相机画面
@app.route('/cur_camera')
def cur_camera():
return render_template('cur_camer.html')
if __name__ == '__main__':
app.run(host='0.0.0.0', debug=False)cur_camer.html
<html>
<head>
<title>指纹监控</title>
</head>
<body>
<h1>监控视频</h1>
<img id="bg" src="{{ url_for('video_feed') }}">
</body>
</html>