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# Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .panoptic_two_stage_segmentor import TwoStagePanopticSegmentor
@MODELS.register_module()
class PanopticFPN(TwoStagePanopticSegmentor):
r"""Implementation of `Panoptic feature pyramid
networks <https://arxiv.org/pdf/1901.02446>`_"""
def __init__(
self,
backbone: ConfigType,
neck: OptConfigType = None,
rpn_head: OptConfigType = None,
roi_head: OptConfigType = None,
train_cfg: OptConfigType = None,
test_cfg: OptConfigType = None,
data_preprocessor: OptConfigType = None,
init_cfg: OptMultiConfig = None,
# for panoptic segmentation
semantic_head: OptConfigType = None,
panoptic_fusion_head: 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,
data_preprocessor=data_preprocessor,
init_cfg=init_cfg,
semantic_head=semantic_head,
panoptic_fusion_head=panoptic_fusion_head)
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