#then import the image (already grayscaled)
target=ImgIO.readFile('target3.jpg')
(x,y)=target.shape
#new array:
img=np.ndarray((x,y,50,50),dtype=np.uint8)
map=intensity.toTuple(all)
for i in range(len(target)):
for j in range(len(target[i])):
#print (i,j)
targetedPixel=target[i][j]
tile=intensity.findTile(targetedPixel, map)
#arraywise copying:
print 'procesando pixel:'+str((i,j))
#print tile[m][n]
img[i][j]=tile
g=np.concatenate((img),axis=1)
g=np.concatenate((g),axis=1)
print g.shape
print g
ImgIO.writeImg(g,'/home/johan/Desktop/brian.jpg')
for i in range(len(target)):
for j in range(len(target[i])):
#print (i,j)
targetedPixel=target[i][j]
tile=intensity.mapFind(targetedPixel, map)
#pixelwise copying:
for m in range(len(tile)):
for n in range(len(tile[m])):
print 'processando pixel:'+str((i*50+m,j*50+n))
#print tile[m][n]
image[i*50+m][j*50+n]=tile[m][n]
#c is a 4d array
#g=np.concatenate((c),axis=1)
#g=np.concatenate((g),axis=1)
ImgIO.writeImg(image,'g.jpg')
#(x,y)=target.shape
#
#col=None
#
#for i in range(len(target)):
# row=None
# #loop through row:
# for j in range(len(target[i])):
# #first find the intensity of a pixel
# key=target[i][j]
# #this obj contains the image
# image=None
