def main():
#read in all data
print "CHANGE DIR BACK!"
dir=os.listdir('/home/johan/Desktop/tiles')
#temporary 1d array
a=[]
#a=np.ndarray([24,24])
for files in dir:
img=ImgIO.readFile('/home/johan/Desktop/tiles/'+files)
img2=ImgIO.resizeTo50(img)
a.append(img2)
#output a list of all images
return a
import intensity,ImgIO,batchRead,imgutil,cv2.cv as cv,cv2,numpy as np
all=batchRead.main()
#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')
def main(str):
#should average be used here?
return int(np.mean(ImgIO.readFile(str)))
