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- # -------------------------------------------------------------------------
- # Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
- #
- # NVIDIA CORPORATION & AFFILIATES and its licensors retain all intellectual
- # property and proprietary rights in and to this software, related
- # documentation and any modifications thereto. Any use, reproduction,
- # disclosure or distribution of this software and related documentation
- # without an express license agreement from NVIDIA CORPORATION is strictly
- # prohibited.
- #
- # Written by Jiarui Xu
- # -------------------------------------------------------------------------
- # Modified by Jilan Xu
- # -------------------------------------------------------------------------
- from mmseg.datasets import DATASETS, CustomDataset
- @DATASETS.register_module()
- class COCOObjectDataset(CustomDataset):
- """COCO-Object dataset.
- 1 bg class + first 80 classes from the COCO-Stuff dataset.
- """
- CLASSES = ('background', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat',
- 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse',
- 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie',
- 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove',
- 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon',
- 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut',
- 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse',
- 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book',
- 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush')
- PALETTE = [[0, 0, 0], [0, 192, 64], [0, 192, 64], [0, 64, 96], [128, 192, 192], [0, 64, 64], [0, 192, 224],
- [0, 192, 192], [128, 192, 64], [0, 192, 96], [128, 192, 64], [128, 32, 192], [0, 0, 224], [0, 0, 64],
- [0, 160, 192], [128, 0, 96], [128, 0, 192], [0, 32, 192], [128, 128, 224], [0, 0, 192], [128, 160, 192],
- [128, 128, 0], [128, 0, 32], [128, 32, 0], [128, 0, 128], [64, 128, 32], [0, 160, 0], [0, 0, 0],
- [192, 128, 160], [0, 32, 0], [0, 128, 128], [64, 128, 160], [128, 160, 0], [0, 128, 0], [192, 128, 32],
- [128, 96, 128], [0, 0, 128], [64, 0, 32], [0, 224, 128], [128, 0, 0], [192, 0, 160], [0, 96, 128],
- [128, 128, 128], [64, 0, 160], [128, 224, 128], [128, 128, 64], [192, 0, 32],
- [128, 96, 0], [128, 0, 192], [0, 128, 32], [64, 224, 0], [0, 0, 64], [128, 128, 160], [64, 96, 0],
- [0, 128, 192], [0, 128, 160], [192, 224, 0], [0, 128, 64], [128, 128, 32], [192, 32, 128], [0, 64, 192],
- [0, 0, 32], [64, 160, 128], [128, 64, 64], [128, 0, 160], [64, 32, 128], [128, 192, 192], [0, 0, 160],
- [192, 160, 128], [128, 192, 0], [128, 0, 96], [192, 32, 0], [128, 64, 128], [64, 128, 96], [64, 160, 0],
- [0, 64, 0], [192, 128, 224], [64, 32, 0], [0, 192, 128], [64, 128, 224], [192, 160, 0]]
- def __init__(self, **kwargs):
- super(COCOObjectDataset, self).__init__(img_suffix='.jpg', seg_map_suffix='_instanceTrainIds.png', **kwargs)
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