import cv2
import numpy
import utlis
webcam = True
path = "data/1.jpeg"
cap = cv2.VideoCapture(0)
cap.set(10, 160)
cap.set(3, 1920)
cap.set(4, 1080)
while True:
if webcam:
success, img = cap.read()
else:
img = cv2.imread(path)
img = cv2.resize(img, (0, 0), None, 0.5, 0.5)
img, finalContours = utlis.getContours(img, showCannny=True, draw=True)
cv2.imshow("Original", img)
cv2.waitKey(1)
webcam = True
path = '1.jpg'
cap = cv2.VideoCapture(1)
cap.set(10, 160)
cap.set(3, 640)
cap.set(4, 480)
scale = 3
wP = 210 * scale #width of a4 paper
hP = 297 * scale #Height of a4 paper
while True:
if webcam: success, img = cap.read()
else: img = cv2.imread(path)
imgCont, conts = utlis.getContours(img, minArea=5000, filter=4)
if len(conts) != 0:
biggest = conts[0][2]
imgWarp = utlis.warpImg(img, biggest, wP, hP)
imgCont2, conts2 = utlis.getContours(imgWarp,
minArea=2000,
filter=4,
cThr=[50, 50],
draw=False)
if len(conts) != 0:
for obj in conts2:
cv2.polylines(imgCont2, [obj[2]], True, (0, 255, 0), 2)
nPoints = utlis.reorder(obj[2])
nW = round(
#cap.set(3,1920)
#cap.set(4,1080)
scale = 2
wP = 210 * scale
hP = 297 * scale
###################################
#while True:
#if webcam:
# success,img = cap.read()
#else:
img = cv2.imread('1.jpg')
img = cv2.resize(img, (620, 800)) # RESIZE IMAGE
cv2.imshow('Original', img)
cv2.waitKey(0) #shows original image until any key is pressed
imgContours, conts = utlis.getContours(
img, filter=4) #stores image and contour coordinates
if len(conts) != 0:
biggest = conts[0][2] #stores largest dimension (A4 PAPER)
imgWarp = utlis.warpImg(img, biggest, wP, hP) #crop
cv2.imshow('A4', imgWarp) #shows warped image
imgContours2, conts2 = utlis.getContours(
imgWarp, minArea=2000, filter=4, cThr=[50, 50],
draw=False) #detect contours of the actual object
if len(conts2) != 0:
for obj in conts2:
cv2.polylines(imgContours2, [obj[2]], True, (0, 255, 0),
2) #draw green contour line around object (width=2)
nPoints = utlis.reorder(
obj[2]) #rearranges contour points in ascending order