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import torch.utils.data |
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import torchvision |
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from .ytvos import build as build_ytvos |
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from .ytvos_ref import build as build_ytvos_ref |
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from .davis import build as build_davis |
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from .a2d import build as build_a2d |
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from .jhmdb import build as build_jhmdb |
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from .refexp import build as build_refexp |
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from .concat_dataset import build as build_joint |
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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(dataset_file: str, image_set: str, args): |
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if dataset_file == 'ytvos': |
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return build_ytvos(image_set, args) |
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if dataset_file == 'ytvos_ref': |
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return build_ytvos_ref(image_set, args) |
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if dataset_file == 'davis': |
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return build_davis(image_set, args) |
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if dataset_file == 'a2d': |
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return build_a2d(image_set, args) |
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if dataset_file == 'jhmdb': |
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return build_jhmdb(image_set, args) |
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if dataset_file == "refcoco" or dataset_file == "refcoco+" or dataset_file == "refcocog": |
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return build_refexp(dataset_file, image_set, args) |
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if dataset_file == 'joint': |
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return build_joint(image_set, args) |
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raise ValueError(f'dataset {dataset_file} not supported') |
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