import numpy as np
import cv2
import math
 
print("version openCV:"+str(  cv2.__version__ ))
  
def trace_carre(u,v,sz):
    global res
    cv2.rectangle(res,(u-sz//2,v-sz//2),(u+sz//2,v+sz//2),(0,255,0),1)


img = cv2.imread('messi5.jpg')
res = cv2.resize(img,None,fx=2, fy=2, interpolation = cv2.INTER_CUBIC)

# Draw a diagonal blue line with thickness of 5 px
cv2.line(res,(0,0),(511,511),(255,0,0),5)
cv2.rectangle(res,(384,0),(510,128),(0,255,0),3)

for i in range (10,300,10):
   print(str(i))
   trace_carre(200,100,i)

u=548;
v=342;
res[v][u-1]=[255,255,255]
res[v][u+1]=[255,255,255]
res[v-1][u]=[255,255,255]
res[v+1][u]=[255,255,255]

res[v][u]=[0,0,255]
print(res[v][u] )

for j in range (0,256):
  for i in range (0,256):
    d=math.sqrt((i-127)*(i-127)+(j-127)*(j-127))
    if d<=128:
      res[100+j][700+i]=[0,j,i]
ballon=res[ 280*2:340*2,330*2:390*2]
v1=100
u1=200
for u1 in range(100,810,200):
  v1=100+int(u1*0.5)
  res[v1:v1+ballon.shape[0],u1:u1+ballon.shape[1]]=ballon
#sauver au format png pour compression sans perte
cv2.imwrite('ballon.png',ballon)

kernel = np.ones((5,5),np.float32)/25
res2 = cv2.filter2D(res,-1,kernel)
res2 = cv2.filter2D(res2,-1,kernel)
res2 = cv2.filter2D(res2,-1,kernel)
res2 = cv2.filter2D(res2,-1,kernel)

blur = cv2.GaussianBlur(img,(5,5),0)
cv2.imwrite('blur.png',blur)

#sauver au format png pour compression sans perte
cv2.imwrite('messi5out.png',res)
cv2.imwrite('messi5out2.png',res2)

print("fini")