Dynamic Machines Podcast

import cv2 as cv
import imutils
import numpy as np
import sys


# Replace 'your_http_video_stream_url' with the actual HTTP video stream URL
rtsp_video_url = "http://192.168.1.xxx:8000/stream.mjpg"
http_video_url = "http://192.168.1.xxx:8000/stream.mjpg"
# Open the video stream


cap = cv.VideoCapture(rtsp_video_url)
cap.set(cv.CAP_PROP_BUFFERSIZE, 3)
#cap.set(cv.CAP_PROP_TIMEOUT, 60000)
cap1 = cv.VideoCapture(http_video_url)
cap1.set(cv.CAP_PROP_BUFFERSIZE, 3)
#cap1.set(cv.CAP_PROP_TIMEOUT, 60000)
# Check if the video stream is opened successfully
if not cap.isOpened() & cap1.isOpened():
    print("Error: Could not open video stream.")
    exit()

# Loop to continuously read frames from the video stream
while True:
    # Read a frame from the video stream
    ret, frame = cap.read()
    resized = imutils.resize(frame, width=600)
    ret1, frame1 = cap1.read()
    resized1 = imutils.resize(frame1, width=600)
    # Check if the frame was read successfully
    if not ret & ret1:
        print("Error: Failed to read frame.")
        break

    # Display the frame
    #cv2.imshow('HTTP Video Stream', resized)
    resized1= cv.GaussianBlur(resized1, (3, 3), 0)
    resized1_gray = cv.cvtColor(resized1, cv.COLOR_BGR2GRAY)
    resized2_gray= np.float32(resized1_gray)
    dst = cv.cornerHarris(resized2_gray, 2, 3, 0.04)
    dst = cv.dilate(dst, None)

    resized2 = cv.Laplacian(resized1_gray, cv.CV_16S, 3)
    abs_dst = cv.convertScaleAbs(resized2)
    #frame1[dst > 0.01 * dst.max()] = [0, 0, 255]
    cv.imshow('Rtsp video stream', abs_dst)
    cv.imshow('Rtsp video stream1', dst)
    cv.imshow('RTSP', frame1)
    # Break the loop if 'q' key is pressed
    if cv.waitKey(1) & 0xFF == ord('q'):
        break

# Release the video stream and close the OpenCV window
cap.release()
cv.destroyAllWindows()