Spaces:
Runtime error
Runtime error
File size: 5,901 Bytes
3b96cb1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 |
# Copyright (c) OpenMMLab. All rights reserved.
import mmengine.fileio as fileio
from mmseg.registry import DATASETS
from .basesegdataset import BaseSegDataset
@DATASETS.register_module()
class PascalContextDataset(BaseSegDataset):
"""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:
ann_file (str): Annotation file path.
"""
METAINFO = dict(
classes=('background', 'aeroplane', 'bag', 'bed', 'bedclothes',
'bench', 'bicycle', 'bird', 'boat', 'book', 'bottle',
'building', 'bus', 'cabinet', 'car', 'cat', 'ceiling',
'chair', 'cloth', 'computer', 'cow', 'cup', 'curtain', 'dog',
'door', 'fence', 'floor', 'flower', 'food', 'grass', 'ground',
'horse', 'keyboard', 'light', 'motorbike', 'mountain',
'mouse', 'person', 'plate', 'platform', 'pottedplant', 'road',
'rock', 'sheep', 'shelves', 'sidewalk', 'sign', 'sky', 'snow',
'sofa', 'table', 'track', 'train', 'tree', 'truck',
'tvmonitor', '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,
ann_file='',
img_suffix='.jpg',
seg_map_suffix='.png',
reduce_zero_label=False,
**kwargs) -> None:
super().__init__(
img_suffix=img_suffix,
seg_map_suffix=seg_map_suffix,
ann_file=ann_file,
reduce_zero_label=reduce_zero_label,
**kwargs)
assert fileio.exists(self.data_prefix['img_path'], self.backend_args)
@DATASETS.register_module()
class PascalContextDataset59(BaseSegDataset):
"""PascalContext dataset.
In segmentation map annotation for PascalContext, 0 stands for background,
which is included in 60 categories. ``reduce_zero_label`` is fixed to
True. The ``img_suffix`` is fixed to '.jpg' and ``seg_map_suffix`` is
fixed to '.png'.
Noted: If the background is 255 and the ids of categories are from 0 to 58,
``reduce_zero_label`` needs to be set to False.
Args:
ann_file (str): Annotation file path.
"""
METAINFO = dict(
classes=('aeroplane', 'bag', 'bed', 'bedclothes', 'bench', 'bicycle',
'bird', 'boat', 'book', 'bottle', 'building', 'bus',
'cabinet', 'car', 'cat', 'ceiling', 'chair', 'cloth',
'computer', 'cow', 'cup', 'curtain', 'dog', 'door', 'fence',
'floor', 'flower', 'food', 'grass', 'ground', 'horse',
'keyboard', 'light', 'motorbike', 'mountain', 'mouse',
'person', 'plate', 'platform', 'pottedplant', 'road', 'rock',
'sheep', 'shelves', 'sidewalk', 'sign', 'sky', 'snow', 'sofa',
'table', 'track', 'train', 'tree', 'truck', 'tvmonitor',
'wall', 'water', 'window', 'wood'),
palette=[[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,
ann_file='',
img_suffix='.jpg',
seg_map_suffix='.png',
reduce_zero_label=True,
**kwargs):
super().__init__(
img_suffix=img_suffix,
seg_map_suffix=seg_map_suffix,
ann_file=ann_file,
reduce_zero_label=reduce_zero_label,
**kwargs)
assert fileio.exists(self.data_prefix['img_path'], self.backend_args)
|