import cv2 as cv
import numpy as np

img = cv.imread(r"C:\Users\mbudz\Desktop\ws_Vocaloid_Characters_1280x960.jpg")
img2 = cv.imread(r"C:\Users\mbudz\Desktop\otherone.jpg")

px = img[100, 100]
print(px)

#set pixel value
for i in range(0,200):
    img[100+i,100+i] = [0,0,0]

#blue matrix
#blue = img[:,:,0]
#green = img[:,:,1]
#red = img[:,:,2]
#img[:,:,1] = red

#region of interest
roi = img[160:280,550:650]
roi2 = img2[160:280,50:150]
#adding 2 img
addedimg = cv.add(roi,roi2)
#weighted addding
weigadd=cv.addWeighted(roi,0.7,roi2,0.3,0)
#border
replicate = cv.copyMakeBorder(img,50,50,50,50, cv.BORDER_WRAP)
#bool operations with images
roi_gray = cv.cvtColor(roi,cv.COLOR_BGR2GRAY)
roi2_gray = cv.cvtColor(roi2,cv.COLOR_BGR2GRAY)

ret, bw = cv.threshold(roi2_gray, 100,255,cv.THRESH_BINARY)
bw_inv = cv.bitwise_not(bw)

#bitwise and function
img_bg = cv.bitwise_and(roi, roi, mask = bw_inv)
img_bg2 = cv.bitwise_or(roi2,roi2, mask = bw_inv)

#getTIckCount getTickFrequency
print("not optimized")
e1 = cv.getTickCount()
img_bg = cv.bitwise_and(roi, roi, mask = bw_inv)
img_bg2 = cv.bitwise_or(roi2,roi2, mask = bw_inv)
e2 = cv.getTickCount()
time = (e2-e1)/cv.getTickFrequency()
print(time)

print("optimized")
cv.useOptimized()
e1 = cv.getTickCount()
img_bg = cv.bitwise_and(roi, roi, mask = bw_inv)
img_bg2 = cv.bitwise_or(roi2,roi2, mask = bw_inv)
e2 = cv.getTickCount()
time = (e2-e1)/cv.getTickFrequency()
print(time)
cv.useOptimized()

#BGR to HSV
img_hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)

#juodai balto paveikslo gavima is spalvoto

cv.namedWindow("frame", cv.WINDOW_FREERATIO)
cv.imshow("frame", img_hsv)

cv.waitKey(0)
cv.destroyAllWindows()