realtimeCV.py

import cv2
import numpy as np
import time

def realtimeCV(lock):
    # Open test data txt file
    lock.acquire()
    new = open("data_rt.txt", "r")

    # Create a VideoCapture object and read from input file
    # If the input is the camera, pass 0 instead of the video file name
    cap = cv2.VideoCapture('tree.avi')
    #cap = cv2.VideoCapture("https://10.144.172.37:8080/videofeed")
    count = 0
    x_pos = 100
    y_pos = 100
    a_x = 0
    a_y = 0
    scale_percent = 100
    frames = 60

    # Check if camera opened successfully
    if (cap.isOpened() == False):
        print("Error opening video stream or file")

    # Read until video is completed
    while (cap.isOpened()):
        start = time.time()
        # Capture frame-by-frame
        ret, frame = cap.read()
        line = new.readline()

        if line:
            line = line.strip()
            a_x = int(line.split('    ')[0])
            a_y = int(line.split('    ')[1])
            scale_percent = int(line.split('    ')[2])

        if line == None:
            while line == None:
                a_x = 0
                a_y = 0
                scale_percent = 100
                line = new.readline()

        if ret == True:
            # Display the resulting frame
            resized = frame
            width = int(frame.shape[1] * scale_percent / 100)
            height = int(frame.shape[0] * scale_percent / 100)
            dim = (width, height)

            # resize video frame
            resized = cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)
            cv2.imshow('Frame', resized)

            # cv2.imshow('Frame', frame)

            # acceleration in m/s**2
            x_pos = x_pos + (a_x)
            y_pos = y_pos + (a_y)

            cv2.moveWindow('Frame', x_pos, y_pos)

            print(time.time() - start)

            # Press Q on keyboard to  exit
            if cv2.waitKey(25) & 0xFF == ord('q'):
                break

        # Break the loop
        else:
            break

    # When everything done, release the video capture object
    cap.release()

    # Closes all the frames
    cv2.destroyAllWindows()

    # Close txt file
    new.close()
    lock.release()