Access IP camera with OpenCV

巧了我就是萌 提交于 2019-12-04 06:12:49

You can use urllib to read frames from video stream.

import cv2
import urllib
import numpy as np

stream = urllib.urlopen('http://192.168.100.128:5000/video_feed')
bytes = ''
while True:
    bytes += stream.read(1024)
    a = bytes.find(b'\xff\xd8')
    b = bytes.find(b'\xff\xd9')
    if a != -1 and b != -1:
        jpg = bytes[a:b+2]
        bytes = bytes[b+2:]
        img = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8), cv2.IMREAD_COLOR)
        cv2.imshow('Video', img)
        if cv2.waitKey(1) == 27:
            exit(0)

Check this out if you want to stream video from webcam of your pc. https://github.com/shehzi-khan/video-streaming

Thank You. May be, now urlopen is not under utllib. It is under urllib.request.urlopen.I use this code:

import cv2
from urllib.request import urlopen
import numpy as np

stream = urlopen('http://192.168.4.133:80/video_feed')
bytes = ''
while True:
    bytes += stream.read(1024)
    a = bytes.find(b'\xff\xd8')
    b = bytes.find(b'\xff\xd9')
    if a != -1 and b != -1:
        jpg = bytes[a:b+2]
        bytes = bytes[b+2:]
        img = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8), cv2.IMREAD_COLOR)
        cv2.imshow('Video', img)
        if cv2.waitKey(1) == 27:
            exit(0)

You can use this code to get live video feeds in browser.

for accessing camera other than your laptop's webcam, you can use RTSP link like this

rtsp://admin:12345@192.168.1.1:554/h264/ch1/main/av_stream"

where

   username:admin
   password:12345
   your camera ip address and port
   ch1 is first camera on that DVR

replace cv2.VideoCamera(0) with this link like this for your camera and it will work

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

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\r\n'
               b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')

@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)

then you can follow this blog to increase your FPS of video stream

You can Use RTSP instead of direct video feed.

Every IP Camera have RTSP to Stream Live Video.

So you can use RTSP Link instead of videofeed

Use code below to access ipcam directly through opencv. Replace the url in VideoCapture with your particular camera rtsp url. The one given generally works for most cameras I've used.

import cv2

cap = cv2.VideoCapture("rtsp://[username]:[pass]@[ip address]/media/video1")

while True:
    ret, image = cap.read()
    cv2.imshow("Test", image)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cv2.destroyAllWindows()

If using python 3, you will probably need to use a bytearray instead of a string. (modifying the current top answer)

with urllib.request.urlopen('http://192.168.100.128:5000/video_feed') as stream:

    bytes = bytearray()

    while True:
        bytes += stream.read(1024)
        a = bytes.find(b'\xff\xd8')
        b = bytes.find(b'\xff\xd9')
        if a != -1 and b != -1:
            jpg = bytes[a:b+2]
            bytes = bytes[b+2:]
            img = cv2.imdecode(np.frombuffer(jpg, dtype=np.uint8), cv2.IMREAD_COLOR)
            cv2.imshow('Video', img)
            if cv2.waitKey(1) & 0xFF == ord('q'):
                break

cv2.destroyAllWindows()
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