#!/usr/bin/python3
#https://pyimagesearch.com/2017/01/02/rotate-images-correctly-with-opencv-and-python/

import numpy as np
import argparse
import imutils
import cv2

# construct the argument parse and parse the arguments
""" ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True,
	help="path to the image file")
args = vars(ap.parse_args()) """

image = cv2.imread('/home/caroline/Pictures/first.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (3, 3), 0)
edged = cv2.Canny(gray,90, 200)

resized_image = cv2.resize(edged, (800, 800))
cv2.imshow("Edged", resized_image)
cv2.waitKey(0)

# further tutorial on rotating and cutting off...