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complexnn/create_rgb.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Titouan Parcollet
from PIL import Image
import numpy as np
import sys
import os
def reconstruct(size):
path = "Results/"+str(size)
if not os.path.exists(str(path)):
os.makedirs(str(path))
if not os.path.exists(str(path)+"/TRAIN"):
os.makedirs(str(path)+"/TRAIN")
if not os.path.exists(str(path)+"/TEST"):
os.makedirs(str(path)+"/TEST")
######## Process Train pictures
data = open(path+'_train.dat')
a = data.readlines()
z=0
for line in a:
line = line.split(" ")
img = Image.new( 'RGB', (32,32), "black" ) # create a new black image
pixels = img.load() # create the pixel map
for i in range(0,img.size[0]): # for every pixel:
for j in range(0,img.size[1]):
pixels[j,i] = (int(float(line[(i*(img.size[0])*3)+(j*3)])), int(float(line[(i*(img.size[0])*3)+(j*3)+1])), int(float(line[(i*(img.size[0])*3)+(j*3)+2])))
z+=1
img.save(path+"/TRAIN/train"+str(z)+".jpg", "JPEG")
######## Process Test pictures
data = open(path+'_test.dat')
a = data.readlines()
z=0
for line in a:
line = line.split(" ")
img = Image.new( 'RGB', (32,32), "black" ) # create a new black image
pixels = img.load() # create the pixel map
for i in range(0,img.size[0]): # for every pixel:
for j in range(0,img.size[1]):
pixels[j,i] = (int(float(line[(i*(img.size[0])*3)+(j*3)])), int(float(line[(i*(img.size[0])*3)+(j*3)+1])), int(float(line[(i*(img.size[0])*3)+(j*3)+2])))
z+=1
img.save(path+"/TEST/test"+str(z)+".jpg", "JPEG")
return
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