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)
 
couleur=True


if not couleur:
    # Load an color image in grayscale
    img = cv2.imread('img.jpg',cv2.IMREAD_GRAYSCALE)
    if img is None:
        print("probleme chargement image")
        exit(-1)
    print(img)
    print("img.shape:" +str(img.shape))

    # Draw a diagonal blue line with thickness of 5 px
    cv2.line(img,(0,0),(img.shape[1]-1,img.shape[0]-1),255,5)


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


    cv2.imwrite('imggray.png',img)
    cv2.imshow('image',img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
else:
    # Load an color image in grayscale
    img = cv2.imread('img.jpg',cv2.IMREAD_COLOR)
    if img is None:
        print("probleme chargement image")
        exit(-1)
    print(img)
    print("img.shape:" +str(img.shape))

    # Draw a diagonal blue line with thickness of 5 px
    cv2.line(img,(0,0),(img.shape[1]-1,img.shape[0]-1),(0,0,255),5)


    font = cv2.FONT_HERSHEY_SIMPLEX
    cv2.putText(img,'BUT3',(10,500), font, 4,(0,255,0),2,cv2.LINE_AA )

    px = img[200,100]  # v,u
    print("px:"+str(px))
    img[200,100] = [255,0,255]
    for up in range(0,255):
      for vp in range(0,255):        
        img[200+vp,100+up] = [up,0,vp]

    u0=692
    v0=252
    larg=60
    haut=60
    u1=434
    v1=218

    ROI=img[v0:v0+haut,u0:u0+larg]
    cv2.imwrite('roi.png',ROI)
    #copie directe
    #img[v1:v1+haut,u1:u1+larg]=ROI

    #copie pixel par pixel en faisant une symétrie par rapport à l'axe vertical (inefficace en python)
    for u in range(0,larg-1):
        for v in range(0,haut-1):
           img[v1+v,u1+u]=ROI[v,larg-u-1]
    for v1 in range(100,400,100):
        u1=int(v1*1.5)+220
        img[v1:v1+haut,u1:u1+larg]=ROI




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


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

    # define range of green color in HSV
    lower_green = np.array([26,50,50])
    upper_green = np.array([46,255,225])

    # Threshold the HSV image to get only green colors
    mask = cv2.inRange(hsv, lower_green, upper_green)

    mask=cv2.bitwise_not(mask)

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


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