bulk_downsizer_and_sampler.py

bulk_downsizer_and_sampler.py

#!/usr/bin/python
from PIL import Image
import os
resize = (20,20)

read_path = "Img/Sample%03d/img%03d-%03d.png"
write_path = "Downscaled/Sample%03d/img%03d-%03d.png"
dataset = open("kannada.csv","w+")
for letter in range(1,18):
        for sample in range(1,26):
                #print(img_path%(letter,letter,sample))
                image = Image.open(read_path%(letter,letter,sample))
                image = image.resize(resize, Image.ANTIALIAS)
                try:
                        os.stat("Downscaled/Sample%03d"%letter)
                except:
                        os.mkdir("Downscaled/Sample%03d"%letter)
                image.save(write_path%(letter,letter,sample),"PNG")
                pixels = image.load()
                line = ""
                for i in range(0,20):
                        for j in range(0,20):
                                grayscale_value = 0.299*pixels[i,j][0] + 0.587*pixels[i,j][1] + 0.114*pixels[i,j][2]
                                line+=str(grayscale_value)+","
                line+=str(letter)+"\n"
                dataset.write(line)
                print "Completed a sample"