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pre_process.py
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pre_process.py
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# -*- coding: utf-8 -*-
import os
import shutil
import zipfile
import tarfile
from Combined_Dataset.Training_set.Composition_code_revised import do_composite
from Combined_Dataset.Test_set.Composition_code_revised import do_composite_test
if __name__ == '__main__':
# path to provided foreground images
fg_path = 'data/fg/'
# path to provided alpha mattes
a_path = 'data/mask/'
# Path to background images (MSCOCO)
bg_path = 'data/bg/'
# Path to folder where you want the composited images to go
out_path = 'data/merged/'
train_folder = 'data/Combined_Dataset/Training_set/'
# if not os.path.exists('Combined_Dataset'):
zip_file = 'data/Adobe_Deep_Matting_Dataset.zip'
print('Extracting {}...'.format(zip_file))
zip_ref = zipfile.ZipFile(zip_file, 'r')
zip_ref.extractall('data')
zip_ref.close()
if not os.path.exists(bg_path):
zip_file = 'data/train2014.zip'
print('Extracting {}...'.format(zip_file))
zip_ref = zipfile.ZipFile(zip_file, 'r')
zip_ref.extractall('data')
zip_ref.close()
with open(os.path.join(train_folder, 'training_bg_names.txt')) as f:
training_bg_names = f.read().splitlines()
os.makedirs(bg_path)
for bg_name in training_bg_names:
src_path = os.path.join('data/train2014', bg_name)
dest_path = os.path.join(bg_path, bg_name)
shutil.move(src_path, dest_path)
if not os.path.exists(fg_path):
os.makedirs(fg_path)
for old_folder in [train_folder + 'Adobe-licensed images/fg', train_folder + 'Other/fg']:
fg_files = os.listdir(old_folder)
for fg_file in fg_files:
src_path = os.path.join(old_folder, fg_file)
dest_path = os.path.join(fg_path, fg_file)
shutil.move(src_path, dest_path)
if not os.path.exists(a_path):
os.makedirs(a_path)
for old_folder in [train_folder + 'Adobe-licensed images/alpha', train_folder + 'Other/alpha']:
a_files = os.listdir(old_folder)
for a_file in a_files:
src_path = os.path.join(old_folder, a_file)
dest_path = os.path.join(a_path, a_file)
shutil.move(src_path, dest_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
do_composite()
# path to provided foreground images
fg_test_path = 'data/fg_test/'
# path to provided alpha mattes
a_test_path = 'data/mask_test/'
# Path to background images (PASCAL VOC)
bg_test_path = 'data/bg_test/'
# Path to folder where you want the composited images to go
out_test_path = 'data/merged_test/'
# test data gen
test_folder = 'data/Combined_Dataset/Test_set/'
if not os.path.exists(bg_test_path):
os.makedirs(bg_test_path)
tar_file = 'data/VOCtrainval_14-Jul-2008.tar'
print('Extracting {}...'.format(tar_file))
tar = tarfile.open(tar_file)
tar.extractall('data')
tar.close()
tar_file = 'data/VOC2008test.tar'
print('Extracting {}...'.format(tar_file))
tar = tarfile.open(tar_file)
tar.extractall('data')
tar.close()
with open(os.path.join(test_folder, 'test_bg_names.txt')) as f:
test_bg_names = f.read().splitlines()
for bg_name in test_bg_names:
tokens = bg_name.split('_')
src_path = os.path.join('data/VOCdevkit/VOC2008/JPEGImages', bg_name)
dest_path = os.path.join(bg_test_path, bg_name)
shutil.move(src_path, dest_path)
if not os.path.exists(fg_test_path):
os.makedirs(fg_test_path)
for old_folder in [test_folder + 'Adobe-licensed images/fg']:
fg_files = os.listdir(old_folder)
for fg_file in fg_files:
src_path = os.path.join(old_folder, fg_file)
dest_path = os.path.join(fg_test_path, fg_file)
shutil.move(src_path, dest_path)
if not os.path.exists(a_test_path):
os.makedirs(a_test_path)
for old_folder in [test_folder + 'Adobe-licensed images/alpha']:
a_files = os.listdir(old_folder)
for a_file in a_files:
src_path = os.path.join(old_folder, a_file)
dest_path = os.path.join(a_test_path, a_file)
shutil.move(src_path, dest_path)
if not os.path.exists(out_test_path):
os.makedirs(out_test_path)
do_composite_test()