#!/usr/bin/env python
# -*- encoding: utf-8 -*-


''' Example of marker detection with ArUco from image file. 
 * Define the area of interest w.r.t. the marker.
 * Draw the marker bourders, its 2D frame and the respective area of interest on the image.
 * Do some image processing on the area of interest
 '''

import cv2
import numpy as np
import argparse

from cvutils.processing.processingutils import ImageProcessing


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ap = argparse.ArgumentParser()
ap.add_argument("--device", default=0, type=int)
ap.add_argument("--debug", default=False, type=bool)
args = ap.parse_args()


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# idyframe = tf.affines.compose(np.zeros(3),np.identity(3),np.ones(3))

if __name__ == '__main__':

    camera = cv2.VideoCapture(args.device)
    # cv2.namedWindow("frame", cv2.WINDOW_NORMAL)

    # ▇▇▇▇▇▇▇▇▇ LOOP ▇▇▇▇▇▇▇▇▇

    while(camera.isOpened()):
        ret, frame = camera.read()

        print(ret)

        if frame is not None:

            cv2.imshow("frame", frame)

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

    camera.release()
    cv2.destroyAllWindows()
