|
import os.path as osp |
|
|
|
from .builder import DATASETS |
|
from .custom import CustomDataset |
|
|
|
|
|
@DATASETS.register_module() |
|
class PascalVOCDataset(CustomDataset): |
|
"""Pascal VOC dataset. |
|
|
|
Args: |
|
split (str): Split txt file for Pascal VOC. |
|
""" |
|
|
|
CLASSES = ('background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', |
|
'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', |
|
'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', |
|
'train', 'tvmonitor') |
|
|
|
PALETTE = [[0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0], [0, 0, 128], |
|
[128, 0, 128], [0, 128, 128], [128, 128, 128], [64, 0, 0], |
|
[192, 0, 0], [64, 128, 0], [192, 128, 0], [64, 0, 128], |
|
[192, 0, 128], [64, 128, 128], [192, 128, 128], [0, 64, 0], |
|
[128, 64, 0], [0, 192, 0], [128, 192, 0], [0, 64, 128]] |
|
|
|
def __init__(self, split, **kwargs): |
|
super(PascalVOCDataset, self).__init__( |
|
img_suffix='.jpg', seg_map_suffix='.png', split=split, **kwargs) |
|
assert osp.exists(self.img_dir) and self.split is not None |
|
|
