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| # ------------------------------------------------------------------------ | |
| # Deformable DETR | |
| # Copyright (c) 2020 SenseTime. All Rights Reserved. | |
| # Licensed under the Apache License, Version 2.0 [see LICENSE for details] | |
| # ------------------------------------------------------------------------ | |
| # Modified from DETR (https://github.com/facebookresearch/detr) | |
| # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved | |
| # ------------------------------------------------------------------------ | |
| import torch.utils.data | |
| from .torchvision_datasets import CocoDetection | |
| from .coco import build as build_coco | |
| def get_coco_api_from_dataset(dataset): | |
| for _ in range(10): | |
| # if isinstance(dataset, torchvision.datasets.CocoDetection): | |
| # break | |
| if isinstance(dataset, torch.utils.data.Subset): | |
| dataset = dataset.dataset | |
| if isinstance(dataset, CocoDetection): | |
| return dataset.coco | |
| def build_dataset(image_set, args): | |
| if args.dataset_file == 'coco': | |
| return build_coco(image_set, args) | |
| if args.dataset_file == 'coco_panoptic': | |
| # to avoid making panopticapi required for coco | |
| from .coco_panoptic import build as build_coco_panoptic | |
| return build_coco_panoptic(image_set, args) | |
| raise ValueError(f'dataset {args.dataset_file} not supported') | |