'''
 * Copyright (c) 2023 Salesforce, Inc.
 * All rights reserved.
 * SPDX-License-Identifier: Apache License 2.0
 * For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
 * By Can Qin
 * Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
 * Copyright (c) 2023 Lvmin Zhang and Maneesh Agrawala
 * Modified from MMCV repo: From https://github.com/open-mmlab/mmcv
 * Copyright (c) OpenMMLab. All rights reserved.
'''

from .builder import DATASETS
from .custom import CustomDataset


@DATASETS.register_module()
class ADE20KDataset(CustomDataset):
    """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'.
    """
    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]]

    def __init__(self, **kwargs):
        super(ADE20KDataset, self).__init__(
            img_suffix='.jpg',
            seg_map_suffix='.png',
            reduce_zero_label=True,
            **kwargs)
