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cityscapes_generator.py
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cityscapes_generator.py
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(youansheng@gmail.com)
# CityScape Seg data generator.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import argparse
import shutil
IMAGE_DIR = 'image'
LABEL_DIR = 'label'
def str2bool(v):
""" Usage:
parser.add_argument('--pretrained', type=str2bool, nargs='?', const=True,
dest='pretrained', help='Whether to use pretrained models.')
"""
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Unsupported value encountered.')
class CityscapesGenerator(object):
def __init__(self, args, image_dir=IMAGE_DIR, label_dir=LABEL_DIR):
self.args = args
self.train_label_dir = os.path.join(self.args.save_dir, 'train', label_dir)
self.val_label_dir = os.path.join(self.args.save_dir, 'val', label_dir)
self.coarse_label_dir = os.path.join(self.args.save_dir, 'coarse', label_dir)
if not os.path.exists(self.train_label_dir):
os.makedirs(self.train_label_dir)
if not os.path.exists(self.val_label_dir):
os.makedirs(self.val_label_dir)
if not os.path.exists(self.coarse_label_dir):
os.makedirs(self.coarse_label_dir)
self.train_image_dir = os.path.join(self.args.save_dir, 'train', image_dir)
self.val_image_dir = os.path.join(self.args.save_dir, 'val', image_dir)
self.coarse_image_dir = os.path.join(self.args.save_dir, 'coarse', image_dir)
if not os.path.exists(self.train_image_dir):
os.makedirs(self.train_image_dir)
if not os.path.exists(self.val_image_dir):
os.makedirs(self.val_image_dir)
if not os.path.exists(self.coarse_image_dir):
os.makedirs(self.coarse_image_dir)
def generate_label(self):
if not self.args.coarse:
ori_train_img_dir = os.path.join(self.args.ori_root_dir, 'leftImg8bit/train')
ori_train_label_dir = os.path.join(self.args.ori_root_dir, 'gtFine/train')
ori_val_img_dir = os.path.join(self.args.ori_root_dir, 'leftImg8bit/val')
ori_val_label_dir = os.path.join(self.args.ori_root_dir, 'gtFine/val')
for image_file in self.__list_dir(ori_train_img_dir):
image_name = '_'.join(image_file.split('_')[:-1])
label_file = '{}_gtFine_labelIds.png'.format(image_name)
shotname, extension = os.path.splitext(image_file.split('/')[-1])
shutil.copy(os.path.join(ori_train_img_dir, image_file),
os.path.join(self.train_image_dir, '{}{}'.format(shotname, extension)))
shutil.copy(os.path.join(ori_train_label_dir, label_file),
os.path.join(self.train_label_dir, '{}.png'.format(shotname)))
for image_file in self.__list_dir(ori_val_img_dir):
image_name = '_'.join(image_file.split('_')[:-1])
label_file = '{}_gtFine_labelIds.png'.format(image_name)
shotname, extension = os.path.splitext(image_file.split('/')[-1])
shutil.copy(os.path.join(ori_val_img_dir, image_file),
os.path.join(self.val_image_dir, '{}{}'.format(shotname, extension)))
shutil.copy(os.path.join(ori_val_label_dir, label_file),
os.path.join(self.val_label_dir, '{}.png'.format(shotname)))
else:
ori_train_img_dir = os.path.join(self.args.ori_root_dir, 'leftImg8bit/train')
ori_train_label_dir = os.path.join(self.args.ori_root_dir, 'gtCoarse/train')
ori_train_extra_img_dir = os.path.join(self.args.ori_root_dir, 'leftImg8bit/train_extra')
ori_train_extra_label_dir = os.path.join(self.args.ori_root_dir, 'gtCoarse/train_extra')
ori_val_img_dir = os.path.join(self.args.ori_root_dir, 'leftImg8bit/val')
ori_val_label_dir = os.path.join(self.args.ori_root_dir, 'gtCoarse/val')
for image_file in self.__list_dir(ori_train_img_dir):
image_name = '_'.join(image_file.split('_')[:-1])
label_file = '{}_gtCoarse_labelIds.png'.format(image_name)
shotname, extension = os.path.splitext(image_file.split('/')[-1])
shutil.copy(os.path.join(ori_train_img_dir, image_file),
os.path.join(self.train_image_dir, '{}{}'.format(shotname, extension)))
shutil.copy(os.path.join(ori_train_label_dir, label_file),
os.path.join(self.train_label_dir, '{}.png'.format(shotname)))
for image_file in self.__list_dir(ori_train_extra_img_dir):
image_name = '_'.join(image_file.split('_')[:-1])
label_file = '{}_gtCoarse_labelIds.png'.format(image_name)
shotname, extension = os.path.splitext(image_file.split('/')[-1])
shutil.copy(os.path.join(ori_train_extra_img_dir, image_file),
os.path.join(self.coarse_image_dir, '{}{}'.format(shotname, extension)))
shutil.copy(os.path.join(ori_train_extra_label_dir, label_file),
os.path.join(self.coarse_label_dir, '{}.png'.format(shotname)))
for image_file in self.__list_dir(ori_val_img_dir):
image_name = '_'.join(image_file.split('_')[:-1])
label_file = '{}_gtCoarse_labelIds.png'.format(image_name)
shotname, extension = os.path.splitext(image_file.split('/')[-1])
shutil.copy(os.path.join(ori_val_img_dir, image_file),
os.path.join(self.val_image_dir, '{}{}'.format(shotname, extension)))
shutil.copy(os.path.join(ori_val_label_dir, label_file),
os.path.join(self.val_label_dir, '{}.png'.format(shotname)))
def __list_dir(self, dir_name):
filename_list = list()
for item in os.listdir(dir_name):
if os.path.isdir(os.path.join(dir_name, item)):
for filename in os.listdir(os.path.join(dir_name, item)):
filename_list.append('{}/{}'.format(item, filename))
else:
filename_list.append(item)
return filename_list
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--coarse', type=str2bool, nargs='?', default=False,
dest='coarse', help='Whether is the coarse data.')
parser.add_argument('--save_dir', default=None, type=str,
dest='save_dir', help='The directory to save the data.')
parser.add_argument('--ori_root_dir', default=None, type=str,
dest='ori_root_dir', help='The directory of the cityscapes data.')
args = parser.parse_args()
cityscapes_generator = CityscapesGenerator(args)
cityscapes_generator.generate_label()
# /root/miniconda3/bin/python cityscapes_generator.py --coarse True \
# --save_dir /msravcshare/dataset/cityscapes/ --ori_root_dir \
# /msravcshare/yuyua/code/segmentation/deeplab_v3/dataset/cityscapes/