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("flags:"+str(flags))

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


# Create a black image
#img = np.zeros((512,512,3), np.uint8)
#pour une image couleur
#cv2.line(img,(0,0),(511,511),(255,0,0),5)


cv2.line(img,(0,0),(511,511),128,5)

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

#---------------------------------
# Load an color image in color
img = cv2.imread('img.jpg',1)
print(img)


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

px = img[100,100]
print("px:" + str(px))
blue = img[100,100,0]
print("blue:" +str(blue))

print("image shape: " +str(img.shape)+" , image type:" +str(img.dtype))

yo=257
xo=695
larg=60
haut=60


ROI=img[yo:yo+haut, xo:xo+larg]

x1=435
y1=220
img[y1:y1+haut, x1:x1+larg] = ROI

for i in range(0,3):
    x1=435+i*120
    y1=220
    img[y1:y1+haut, x1:x1+larg] = ROI

for r in range(0,256):
  for g in range(0,256):
    img[100+g,100+r]=(100,g,r)

# 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])

xgazon=346
ygazon=641
print("gazon:"+ str(hsv[ygazon,xgazon]))

lower_gazon = np.array([38-10,50,50])
upper_gazon = np.array([38+10,255,255])

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

mask=cv2.bitwise_not(mask)


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



cv2.imwrite('imgres.png',imgres)

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