import cv2
    import numpy as np
    from compas import data

    cap = cv2.VideoCapture(1)


    lower_blue = np.array([0, 0, 255])
    upper_blue = np.array([140, 0, 255])

    while True:
        _, frame = cap.read()
        blurred_frame = cv2.GaussianBlur(frame, (5, 5), 0)
        hsv = cv2.cvtColor(blurred_frame, cv2.COLOR_BGR2HSV)

        mask = cv2.inRange(hsv, lower_blue, upper_blue)

        contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)

        # with open("cvLocations.json", "w", encoding="UTF-8") as j:
        output = []
        for c in contours:
            if len(output) < len(c):
                output = c
        x = 0
        y = 0
        ave_output = []
        if len(output) > 0:
            for o in output:
                x = x + o[0][0]
                y = y + o[0][1]

            ave_output = [x / len(output), y / len(output)]
            data.json_dump(ave_output, ".\\chasing\\cvLocations.json")
        cv2.drawContours(frame, output, -1, (0, 255, 255), 3)
        cv2.imshow("Frame", frame)
        cv2.imshow("Mash", mask)

        key = cv2.waitKey(10)
        if key == 27:
            break
    # print(str(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) + "xx" + str(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
    cap.release()
    cv2.destroyAllWindows()