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mmtrack.datasets.dancetrack_dataset 源代码

# Copyright (c) OpenMMLab. All rights reserved.
from mmdet.datasets import DATASETS

from .mot_challenge_dataset import MOTChallengeDataset


[文档]@DATASETS.register_module() class DanceTrackDataset(MOTChallengeDataset): """Dataset for DanceTrack: https://github.com/DanceTrack/DanceTrack. Most content is inherited from MOTChallengeDataset. """
[文档] def get_benchmark_and_eval_split(self): """Get benchmark and dataset split to evaluate. Get benchmark from upeper/lower-case image prefix and the dataset split to evaluate. Returns: tuple(string): The first string denotes the type of dataset. The second string denots the split of the dataset to eval. """ # As DanceTrack only has train/val and use 'val' for evaluation as # default, we can directly output the desired split. return 'DanceTrack', 'val'
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