mmdet/models/detectors/mask2former.py

# Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .maskformer import MaskFormer


@MODELS.register_module()
class Mask2Former(MaskFormer):
    r"""Implementation of `Masked-attention Mask
    Transformer for Universal Image Segmentation
    <https://arxiv.org/pdf/2112.01527>`_."""

    def __init__(self,
                 backbone: ConfigType,
                 neck: OptConfigType = None,
                 panoptic_head: OptConfigType = None,
                 panoptic_fusion_head: OptConfigType = None,
                 train_cfg: OptConfigType = None,
                 test_cfg: OptConfigType = None,
                 data_preprocessor: OptConfigType = None,
                 init_cfg: OptMultiConfig = None):
        super().__init__(
            backbone=backbone,
            neck=neck,
            panoptic_head=panoptic_head,
            panoptic_fusion_head=panoptic_fusion_head,
            train_cfg=train_cfg,
            test_cfg=test_cfg,
            data_preprocessor=data_preprocessor,
            init_cfg=init_cfg)