|
import os.path as osp |
|
|
|
from .builder import DATASETS |
|
from .custom import CustomDataset |
|
|
|
|
|
@DATASETS.register_module() |
|
class PascalContextDataset(CustomDataset): |
|
"""PascalContext dataset. |
|
|
|
In segmentation map annotation for PascalContext, 0 stands for background, |
|
which is included in 60 categories. ``reduce_zero_label`` is fixed to |
|
False. The ``img_suffix`` is fixed to '.jpg' and ``seg_map_suffix`` is |
|
fixed to '.png'. |
|
|
|
Args: |
|
split (str): Split txt file for PascalContext. |
|
""" |
|
|
|
CLASSES = ('background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', |
|
'bus', 'car', 'cat', 'chair', 'cow', 'table', 'dog', 'horse', |
|
'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', |
|
'tvmonitor', 'bag', 'bed', 'bench', 'book', 'building', |
|
'cabinet', 'ceiling', 'cloth', 'computer', 'cup', 'door', |
|
'fence', 'floor', 'flower', 'food', 'grass', 'ground', |
|
'keyboard', 'light', 'mountain', 'mouse', 'curtain', 'platform', |
|
'sign', 'plate', 'road', 'rock', 'shelves', 'sidewalk', 'sky', |
|
'snow', 'bedclothes', 'track', 'tree', 'truck', 'wall', 'water', |
|
'window', 'wood') |
|
|
|
PALETTE = [[120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], |
|
[4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], |
|
[230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], |
|
[150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], |
|
[143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], |
|
[0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], |
|
[255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], |
|
[255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], |
|
[255, 184, 6], [10, 255, 71], [255, 41, 10], [7, 255, 255], |
|
[224, 255, 8], [102, 8, 255], [255, 61, 6], [255, 194, 7], |
|
[255, 122, 8], [0, 255, 20], [255, 8, 41], [255, 5, 153], |
|
[6, 51, 255], [235, 12, 255], [160, 150, 20], [0, 163, 255], |
|
[140, 140, 140], [250, 10, 15], [20, 255, 0], [31, 255, 0], |
|
[255, 31, 0], [255, 224, 0], [153, 255, 0], [0, 0, 255], |
|
[255, 71, 0], [0, 235, 255], [0, 173, 255], [31, 0, 255]] |
|
|
|
def __init__(self, split, **kwargs): |
|
super(PascalContextDataset, self).__init__( |
|
img_suffix='.jpg', |
|
seg_map_suffix='.png', |
|
split=split, |
|
reduce_zero_label=False, |
|
**kwargs) |
|
assert osp.exists(self.img_dir) and self.split is not None |
|
|