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