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| # Copyright (c) OpenMMLab. All rights reserved. | |
| import torch | |
| from mmengine.structures import InstanceData | |
| from mmdet.registry import TASK_UTILS | |
| from ..assigners import AssignResult | |
| from .base_sampler import BaseSampler | |
| from .sampling_result import SamplingResult | |
| class PseudoSampler(BaseSampler): | |
| """A pseudo sampler that does not do sampling actually.""" | |
| def __init__(self, **kwargs): | |
| pass | |
| def _sample_pos(self, **kwargs): | |
| """Sample positive samples.""" | |
| raise NotImplementedError | |
| def _sample_neg(self, **kwargs): | |
| """Sample negative samples.""" | |
| raise NotImplementedError | |
| def sample(self, assign_result: AssignResult, pred_instances: InstanceData, | |
| gt_instances: InstanceData, *args, **kwargs): | |
| """Directly returns the positive and negative indices of samples. | |
| Args: | |
| assign_result (:obj:`AssignResult`): Bbox assigning results. | |
| pred_instances (:obj:`InstanceData`): Instances of model | |
| predictions. It includes ``priors``, and the priors can | |
| be anchors, points, or bboxes predicted by the model, | |
| shape(n, 4). | |
| gt_instances (:obj:`InstanceData`): Ground truth of instance | |
| annotations. It usually includes ``bboxes`` and ``labels`` | |
| attributes. | |
| Returns: | |
| :obj:`SamplingResult`: sampler results | |
| """ | |
| gt_bboxes = gt_instances.bboxes | |
| priors = pred_instances.priors | |
| pos_inds = torch.nonzero( | |
| assign_result.gt_inds > 0, as_tuple=False).squeeze(-1).unique() | |
| neg_inds = torch.nonzero( | |
| assign_result.gt_inds == 0, as_tuple=False).squeeze(-1).unique() | |
| gt_flags = priors.new_zeros(priors.shape[0], dtype=torch.uint8) | |
| sampling_result = SamplingResult( | |
| pos_inds=pos_inds, | |
| neg_inds=neg_inds, | |
| priors=priors, | |
| gt_bboxes=gt_bboxes, | |
| assign_result=assign_result, | |
| gt_flags=gt_flags, | |
| avg_factor_with_neg=False) | |
| return sampling_result | |