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from mmdet.registry import MODELS |
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from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig |
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from .two_stage import TwoStageDetector |
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@MODELS.register_module() |
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class CrowdDet(TwoStageDetector): |
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"""Implementation of `CrowdDet <https://arxiv.org/abs/2003.09163>`_ |
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Args: |
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backbone (:obj:`ConfigDict` or dict): The backbone config. |
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rpn_head (:obj:`ConfigDict` or dict): The rpn config. |
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roi_head (:obj:`ConfigDict` or dict): The roi config. |
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train_cfg (:obj:`ConfigDict` or dict, optional): The training config |
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of FCOS. Defaults to None. |
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test_cfg (:obj:`ConfigDict` or dict, optional): The testing config |
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of FCOS. Defaults to None. |
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neck (:obj:`ConfigDict` or dict): The neck config. |
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data_preprocessor (:obj:`ConfigDict` or dict, optional): Config of |
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:class:`DetDataPreprocessor` to process the input data. |
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Defaults to None. |
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init_cfg (:obj:`ConfigDict` or list[:obj:`ConfigDict`] or dict or |
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list[dict], optional): Initialization config dict. |
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Defaults to None. |
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""" |
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def __init__(self, |
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backbone: ConfigType, |
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rpn_head: ConfigType, |
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roi_head: ConfigType, |
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train_cfg: ConfigType, |
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test_cfg: ConfigType, |
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neck: OptConfigType = None, |
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data_preprocessor: OptConfigType = None, |
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init_cfg: OptMultiConfig = None) -> None: |
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super().__init__( |
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backbone=backbone, |
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neck=neck, |
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rpn_head=rpn_head, |
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roi_head=roi_head, |
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train_cfg=train_cfg, |
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test_cfg=test_cfg, |
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init_cfg=init_cfg, |
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data_preprocessor=data_preprocessor) |
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