####################################################
if cameraFeed:
cap = cv2.VideoCapture(cameraNo)
cap.set(3, frameWidth)
cap.set(4, frameHeight)
else:
cap = cv2.VideoCapture(videoPath)
count=0
noOfArrayValues =10
global arrayCurve, arrayCounter
arrayCounter=0
arrayCurve = np.zeros([noOfArrayValues])
myVals=[]
utlis.initializeTrackbars(intialTracbarVals)
while True:
success, img = cap.read()
#img = cv2.imread('test3.jpg')
if cameraFeed== False:img = cv2.resize(img, (frameWidth, frameHeight), None)
imgWarpPoints = img.copy()
imgFinal = img.copy()
imgCanny = img.copy()
imgUndis = utlis.undistort(img)
imgThres,imgCanny,imgColor = utlis.thresholding(imgUndis)
src = utlis.valTrackbars()
imgWarp = utlis.perspective_warp(imgThres, dst_size=(frameWidth, frameHeight), src=src)
import cv2
import numpy as np
import utlis
pathImage = "1.jpg"
heightImg = 1600
widthImg = 1200
utlis.initializeTrackbars()
count=0
while True:
img = cv2.imread(pathImage)#READING IMAGE
img = cv2.resize(img, (widthImg, heightImg)) # RESIZE IMAGE
imgBlank = np.zeros((heightImg,widthImg, 3), np.uint8) # CREATE A BLANK IMAGE FOR TESTING DEBUGING IF REQUIRED
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # CONVERT IMAGE TO GRAY SCALE
imgBlur = cv2.GaussianBlur(imgGray, (5, 5), 1) # ADD GAUSSIAN BLUR
thres=utlis.valTrackbars() # GET TRACK BAR VALUES FOR THRESHOLDS
imgThreshold = cv2.Canny(imgBlur,thres[0],thres[1]) # APPLY CANNY BLUR
kernel = np.ones((5, 5))#INITIALISING KERNEL
imgDial = cv2.dilate(imgThreshold, kernel, iterations=2) # APPLY DILATION
imgThreshold = cv2.erode(imgDial, kernel, iterations=1) # APPLY EROSION
## FIND ALL COUNTOURS
imgContours = img.copy() # COPY IMAGE FOR DISPLAY PURPOSES
imgBigContour = img.copy() # COPY IMAGE FOR DISPLAY PURPOSES
contours, hierarchy = cv2.findContours(imgThreshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # FIND ALL CONTOURS
cv2.drawContours(imgContours, contours, -1, (0, 255, 0), 10) # DRAW ALL DETECTED CONTOURS
