Scanner.py

import cv2
import numpy as np
import mapper
image=cv2.imread("test_img.jpg")
image=cv2.resize(image,(1300,800))
orig=image.copy()

gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
cv2.imshow("Title",gray)

blurred=cv2.GaussianBlur(gray,(5,5),0)
cv2.imshow("Blur",blurred)

edged=cv2.Canny(blurred,30,50)
cv2.imshow("Canny",edged)


image,contours,hierarchy=cv2.findContours(edged,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)
contours=sorted(contours,key=cv2.contourArea,reverse=True)

for c in contours:
    p=cv2.arcLength(c,True)
    approx=cv2.approxPolyDP(c,0.02*p,True)

    if len(approx)==4:
        target=approx
        break
approx=mapper.mapp(target)

pts=np.float32([[0,0],[800,0],[800,800],[0,800]])

op=cv2.getPerspectiveTransform(approx,pts)
dst=cv2.warpPerspective(orig,op,(800,800))


cv2.imshow("Scanned",dst)