How to get images from Hikvision CCTV IP camera for image processing when they are connected with NVR using Opencv and python?

0
votes

I am using two HIKVISION IP camera (DS-2CD204WFWD-I) & (DS-2CD214WFWD-I) connected with (DS-7600 Series) NVR. Now how to acess these camera using Opencv and python ?

I had already tried this method its not working and code is running and its not getting the frame. With NVR software camera is showing live streaming and in andoird app also but i am not getting any frames with python. so please help me how can i acess these camera using opencv for face recognition.

import numpy as np
import cv2

cap = cv2.VideoCapture()

cap.open("rtsp://yourusername:[email protected]:555/
Streaming/channels/2/")

while(True):
 # Capture frame-by-frame
    ret, frame = cap.read()

# Our operations on the frame come here
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# Display the resulting frame
    cv2.imshow('frame',ret)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()

I expect both camera should be open using opencv.

2
opencvimage-processingopencv3.0face-recognitionopencv3.1

2 Answers

1
votes

Hm, usual addresses are:

1
votes

you don' need connect the ipc to nvr when you want to get the stream from the camera. i know Hikvison camera very well, you can send me email([email protected])if you have any question about Hikvision camera. this is the python code for detect motion on Hikvsion camera base on opencv library

import cv2, time, pandas
from datetime import datetime

first_frame = None
status_list = [None,None]
times = []
df=pandas.DataFrame(columns=["Start","End"])

video = cv2.VideoCapture('rtsp://admin:[email protected]:554')

while True:
    check, frame = video.read()
    status = 0
    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray,(21,21),0)

    if first_frame is None:
        first_frame=gray
        continue

    delta_frame=cv2.absdiff(first_frame,gray)
    thresh_frame=cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
    thresh_frame=cv2.dilate(thresh_frame, None, iterations=2)

    (cnts,_)=cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    for contour in cnts:
        if cv2.contourArea(contour) < 200000:
            continue
        status=1

        (x, y, w, h)=cv2.boundingRect(contour)
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3)
    status_list.append(status)

    status_list=status_list[-2:]


    if status_list[-1]==1 and status_list[-2]==0:
        times.append(datetime.now())
    if status_list[-1]==0 and status_list[-2]==1:
        times.append(datetime.now())


    #cv2.imshow("Gray Frame",gray)
    #cv2.imshow("Delta Frame",delta_frame)
    imS = cv2.resize(thresh_frame, (640, 480))
    cv2.imshow("Threshold Frame",imS)

    imS = cv2.resize(frame, (640, 480))
    cv2.imshow("Color Frame",imS)
    #cv2.imshow("Color Frame",frame)

    key=cv2.waitKey(1)

    if key == ord('q'):
        if status == 1:
            times.append(datetime.now())
        break

print(status_list)
print(times)

for i in range(0, len(times), 2):
    df = df.append({"Start": times[i],"End": times[i+1]}, ignore_index=True)

df.to_csv("Times.csv")

video.release()
cv2.destroyAllWindows