You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
83 lines
2.8 KiB
83 lines
2.8 KiB
# 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 paddlers.models.ppseg.datasets import Dataset |
|
from paddlers.models.ppseg.cvlibs import manager |
|
from paddlers.models.ppseg.transforms import Compose |
|
|
|
|
|
@manager.DATASETS.add_component |
|
class CocoStuff(Dataset): |
|
""" |
|
COCO-Stuff dataset `https://github.com/nightrome/cocostuff`. |
|
The folder structure is as follow: |
|
|
|
cocostuff |
|
| |
|
|--images |
|
| |--train2017 |
|
| |--val2017 |
|
| |
|
|--annotations |
|
| |--train2017 |
|
| |--val2017 |
|
|
|
|
|
Args: |
|
transforms (list): Transforms for image. |
|
dataset_root (str): Cityscapes dataset directory. |
|
mode (str): Which part of dataset to use. it is one of ('train', 'val'). Default: 'train'. |
|
edge (bool, optional): Whether to compute edge while training. Default: False |
|
""" |
|
NUM_CLASSES = 171 |
|
|
|
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']: |
|
raise ValueError( |
|
"mode should be 'train', 'val', 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, 'images') |
|
label_dir = os.path.join(self.dataset_root, 'annotations') |
|
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 + '2017', '*.png'))) |
|
|
|
img_files = sorted( |
|
glob.glob(os.path.join(img_dir, mode + '2017', '*.jpg'))) |
|
|
|
self.file_list = [ |
|
[img_path, label_path] |
|
for img_path, label_path in zip(img_files, label_files) |
|
]
|
|
|