import numpy as np
import cv2
import math
 
print("version openCV:"+str(  cv2.__version__ ))


flags = [i for i in dir(cv2) if i.startswith('COLOR_')]
print("conversions supportées:"+ str(flags))
#exit(0)

#Load an color image in grayscale
img = cv2.imread('img.jpg',0)
print("img:" +str(img)  )
  

# Create a black image
#img = np.zeros((512,512,3), np.uint8)

# Draw a diagonal blue line with thickness of 5 px
cv2.line(img,(0,0),(511,511),255,5,cv2.LINE_AA)

font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img,'BUT3',(10,500), font, 4,255,2,cv2.LINE_AA)

cv2.imwrite('imggray.png',img)

#load image in color
img = cv2.imread('img.jpg',1)
px = img[100,100]
print("px:"+str(px))
img[200,100] = [255,0,0]

px = img[200,100]
print("px:"+str(px))

for i in range(0,255):
  for j in range(0,255):
    img[200+j,100+i]=[i,j,0]


print("img.shape:"+str(img.shape))
print("img.dtype:"+str(img.dtype))

xo=692
yo=252
larg=60
haut=60
x1=434
y1=218

ROI = img[yo:yo+haut, xo:xo+larg]
for i in range(0,3):
    img[y1+i*100:y1+haut+i*100, x1:x1+larg] = ROI

 # Convert BGR to HSV
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

 # define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])

# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)

# Bitwise-AND mask and original image
res = cv2.bitwise_and(img,img, mask= mask)

xgazon=350
ygazon=618
print("gazon:"+str(hsv[ygazon,xgazon]))
#gazon:[ 36 171 183]
lower_gazon = np.array([26,50,50])
upper_gazon= np.array([46,255,255])

# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_gazon, upper_gazon)

# Bitwise-AND mask and original image
mask=	cv2.bitwise_not(	mask)

res = cv2.bitwise_and(img,img, mask= mask)


cv2.imwrite('imgres.png',res)
cv2.imshow('image res',res)

cv2.imwrite('imgcolor.png',img)

cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()