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import torch.utils.data |
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import torchvision |
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from .coco import build as build_coco |
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from .o365 import build_o365 |
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from .coco import build_roboflow |
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def get_coco_api_from_dataset(dataset): |
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for _ in range(10): |
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if isinstance(dataset, torch.utils.data.Subset): |
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dataset = dataset.dataset |
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if isinstance(dataset, torchvision.datasets.CocoDetection): |
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return dataset.coco |
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def build_dataset(image_set, args, resolution): |
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if args.dataset_file == 'coco': |
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return build_coco(image_set, args, resolution) |
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if args.dataset_file == 'o365': |
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return build_o365(image_set, args, resolution) |
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if args.dataset_file == 'roboflow': |
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return build_roboflow(image_set, args, resolution) |
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raise ValueError(f'dataset {args.dataset_file} not supported') |
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