from PIL import Image
import csv
import os, sys
sys.path.insert(1, os.path.join(sys.path[0], ".."))
from ml_util import ml
import numpy as np
import data
import image
import config
# choose the screenshots directory
amount = config.amount
path = data.getDataDir(amount=amount, cut=config.cut, big=config.big)
fileList = os.listdir(path)
fileExt = ".png"
# it is currently expected that the files to be histogrammed lie in the
# same directory as histogrammer.py
imgs = filter(lambda File: File[-4:] == fileExt, fileList)
imgs.sort()
print "Found %d %s images" % (len(imgs), fileExt)
histograms = []
for i in xrange(len(imgs)):
hist = image.imgToBinnedHistogram(path + imgs[i])
if np.count_nonzero(hist) < 3:
print hist
print "Removing", imgs[i]
os.remove(path + imgs[i])
from PIL import Image
import os
import data
import config
toSize = 68,38
# choose the screenshots directory
amount = config.amount
cut = config.cut
path = data.getDataDir(amount, cut, big=True)
to_path = data.getDataDir(amount, cut, big=False)
fileList = os.listdir(path)
fileExt = ".png"
# it is currently expected that the files to be histogrammed lie in the
# same directory as histogrammer.py
imgs = filter(lambda File: File[-4:] == fileExt, fileList)
imgs.sort()
print "Found %d %s images" % (len(imgs), fileExt)
for i in xrange(len(imgs)):
try:
Image.open(path+imgs[i]).resize(toSize).save(to_path + imgs[i])
except IOError as e:
print e