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| # Copyright (c) OpenMMLab. All rights reserved. | |
| from mmseg.registry import DATASETS | |
| from .basesegdataset import BaseSegDataset | |
| class ADE20KDataset(BaseSegDataset): | |
| """ADE20K dataset. | |
| In segmentation map annotation for ADE20K, 0 stands for background, which | |
| is not included in 150 categories. ``reduce_zero_label`` is fixed to True. | |
| The ``img_suffix`` is fixed to '.jpg' and ``seg_map_suffix`` is fixed to | |
| '.png'. | |
| """ | |
| # METAINFO = dict( | |
| # classes=('wall', 'building', 'sky', 'floor', 'tree', 'ceiling', 'road', | |
| # 'bed ', 'windowpane', 'grass', 'cabinet', 'sidewalk', | |
| # 'person', 'earth', 'door', 'table', 'mountain', 'plant', | |
| # 'curtain', 'chair', 'car', 'water', 'painting', 'sofa', | |
| # 'shelf', 'house', 'sea', 'mirror', 'rug', 'field', 'armchair', | |
| # 'seat', 'fence', 'desk', 'rock', 'wardrobe', 'lamp', | |
| # 'bathtub', 'railing', 'cushion', 'base', 'box', 'column', | |
| # 'signboard', 'chest of drawers', 'counter', 'sand', 'sink', | |
| # 'skyscraper', 'fireplace', 'refrigerator', 'grandstand', | |
| # 'path', 'stairs', 'runway', 'case', 'pool table', 'pillow', | |
| # 'screen door', 'stairway', 'river', 'bridge', 'bookcase', | |
| # 'blind', 'coffee table', 'toilet', 'flower', 'book', 'hill', | |
| # 'bench', 'countertop', 'stove', 'palm', 'kitchen island', | |
| # 'computer', 'swivel chair', 'boat', 'bar', 'arcade machine', | |
| # 'hovel', 'bus', 'towel', 'light', 'truck', 'tower', | |
| # 'chandelier', 'awning', 'streetlight', 'booth', | |
| # 'television receiver', 'airplane', 'dirt track', 'apparel', | |
| # 'pole', 'land', 'bannister', 'escalator', 'ottoman', 'bottle', | |
| # 'buffet', 'poster', 'stage', 'van', 'ship', 'fountain', | |
| # 'conveyer belt', 'canopy', 'washer', 'plaything', | |
| # 'swimming pool', 'stool', 'barrel', 'basket', 'waterfall', | |
| # 'tent', 'bag', 'minibike', 'cradle', 'oven', 'ball', 'food', | |
| # 'step', 'tank', 'trade name', 'microwave', 'pot', 'animal', | |
| # 'bicycle', 'lake', 'dishwasher', 'screen', 'blanket', | |
| # 'sculpture', 'hood', 'sconce', 'vase', 'traffic light', | |
| # 'tray', 'ashcan', 'fan', 'pier', 'crt screen', 'plate', | |
| # 'monitor', 'bulletin board', 'shower', 'radiator', 'glass', | |
| # 'clock', 'flag'), | |
| # 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], | |
| # [11, 200, 200], [255, 82, 0], [0, 255, 245], [0, 61, 255], | |
| # [0, 255, 112], [0, 255, 133], [255, 0, 0], [255, 163, 0], | |
| # [255, 102, 0], [194, 255, 0], [0, 143, 255], [51, 255, 0], | |
| # [0, 82, 255], [0, 255, 41], [0, 255, 173], [10, 0, 255], | |
| # [173, 255, 0], [0, 255, 153], [255, 92, 0], [255, 0, 255], | |
| # [255, 0, 245], [255, 0, 102], [255, 173, 0], [255, 0, 20], | |
| # [255, 184, 184], [0, 31, 255], [0, 255, 61], [0, 71, 255], | |
| # [255, 0, 204], [0, 255, 194], [0, 255, 82], [0, 10, 255], | |
| # [0, 112, 255], [51, 0, 255], [0, 194, 255], [0, 122, 255], | |
| # [0, 255, 163], [255, 153, 0], [0, 255, 10], [255, 112, 0], | |
| # [143, 255, 0], [82, 0, 255], [163, 255, 0], [255, 235, 0], | |
| # [8, 184, 170], [133, 0, 255], [0, 255, 92], [184, 0, 255], | |
| # [255, 0, 31], [0, 184, 255], [0, 214, 255], [255, 0, 112], | |
| # [92, 255, 0], [0, 224, 255], [112, 224, 255], [70, 184, 160], | |
| # [163, 0, 255], [153, 0, 255], [71, 255, 0], [255, 0, 163], | |
| # [255, 204, 0], [255, 0, 143], [0, 255, 235], [133, 255, 0], | |
| # [255, 0, 235], [245, 0, 255], [255, 0, 122], [255, 245, 0], | |
| # [10, 190, 212], [214, 255, 0], [0, 204, 255], [20, 0, 255], | |
| # [255, 255, 0], [0, 153, 255], [0, 41, 255], [0, 255, 204], | |
| # [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255], | |
| # [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255], | |
| # [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194], | |
| # [102, 255, 0], [92, 0, 255]]) | |
| METAINFO = dict(classes=('building',), palette=[(0, 0, 255)]) | |
| def __init__(self, | |
| img_suffix='.jpg', | |
| seg_map_suffix='.png', | |
| reduce_zero_label=True, | |
| **kwargs) -> None: | |
| super().__init__( | |
| img_suffix=img_suffix, | |
| seg_map_suffix=seg_map_suffix, | |
| reduce_zero_label=reduce_zero_label, | |
| **kwargs) | |