|
- # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
-
- import os
- import glob
-
- from paddleseg.datasets import Dataset
- from paddleseg.cvlibs import manager
- from paddleseg.transforms import Compose
-
-
- @manager.DATASETS.add_component
- class Cityscapes(Dataset):
- """
- Cityscapes dataset `https://www.cityscapes-dataset.com/`.
- The folder structure is as follow:
-
- cityscapes
- |
- |--leftImg8bit
- | |--train
- | |--val
- | |--test
- |
- |--gtFine
- | |--train
- | |--val
- | |--test
-
- Make sure there are **labelTrainIds.png in gtFine directory. If not, please run the conver_cityscapes.py in tools.
-
- Args:
- transforms (list): Transforms for image.
- dataset_root (str): Cityscapes dataset directory.
- mode (str, optional): Which part of dataset to use. it is one of ('train', 'val', 'test'). Default: 'train'.
- edge (bool, optional): Whether to compute edge while training. Default: False
- """
- NUM_CLASSES = 19
-
- def __init__(self, transforms, dataset_root, mode='train', edge=False):
- self.dataset_root = dataset_root
- self.transforms = Compose(transforms)
- self.file_list = list()
- mode = mode.lower()
- self.mode = mode
- self.num_classes = self.NUM_CLASSES
- self.ignore_index = 255
- self.edge = edge
-
- if mode not in ['train', 'val', 'test']:
- raise ValueError(
- "mode should be 'train', 'val' or 'test', but got {}.".format(
- mode))
-
- if self.transforms is None:
- raise ValueError("`transforms` is necessary, but it is None.")
-
- img_dir = os.path.join(self.dataset_root, 'leftImg8bit')
- label_dir = os.path.join(self.dataset_root, 'gtFine')
- if self.dataset_root is None or not os.path.isdir(
- self.dataset_root) or not os.path.isdir(
- img_dir) or not os.path.isdir(label_dir):
- raise ValueError(
- "The dataset is not Found or the folder structure is nonconfoumance."
- )
-
- label_files = sorted(
- glob.glob(
- os.path.join(label_dir, mode, '*',
- '*_gtFine_labelTrainIds.png')))
- img_files = sorted(
- glob.glob(os.path.join(img_dir, mode, '*', '*_leftImg8bit.png')))
-
- self.file_list = [
- [img_path, label_path]
- for img_path, label_path in zip(img_files, label_files)
- ]
|