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    "type": "MaskRCNN",
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        "num_stages": 4,
        "out_indices": [
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            1,
            2,
            3
        ],
        "frozen_stages": 1,
        "norm_cfg": {
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            "requires_grad": true
        },
        "norm_eval": true,
        "style": "pytorch",
        "init_cfg": {
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            "checkpoint": "torchvision://resnet50"
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    },
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            512,
            1024,
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        ],
        "out_channels": 256,
        "num_outs": 5
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    "rpn_head": {
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        "feat_channels": 256,
        "anchor_generator": {
            "type": "AnchorGenerator",
            "scales": [
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            "ratios": [
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            ],
            "strides": [
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                16,
                32,
                64
            ]
        },
        "bbox_coder": {
            "type": "DeltaXYWHBBoxCoder",
            "target_means": [
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                0.0,
                0.0,
                0.0
            ],
            "target_stds": [
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                1.0,
                1.0,
                1.0
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        },
        "loss_cls": {
            "type": "CrossEntropyLoss",
            "use_sigmoid": true,
            "loss_weight": 1.0
        },
        "loss_bbox": {
            "type": "L1Loss",
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        }
    },
    "roi_head": {
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        "bbox_roi_extractor": {
            "type": "SingleRoIExtractor",
            "roi_layer": {
                "type": "RoIAlign",
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                "sampling_ratio": 0
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            "featmap_strides": [
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            "fc_out_channels": 1024,
            "roi_feat_size": 7,
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            "bbox_coder": {
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                ],
                "target_stds": [
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                    0.2,
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                ]
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                "loss_weight": 1.0
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        "mask_roi_extractor": {
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                "sampling_ratio": 0
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                32
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        "mask_head": {
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            "conv_out_channels": 256,
            "num_classes": 80,
            "loss_mask": {
                "type": "CrossEntropyLoss",
                "use_mask": true,
                "loss_weight": 1.0
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    },
    "train_cfg": {
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                "neg_iou_thr": 0.3,
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                "ignore_iof_thr": -1
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            "allowed_border": -1,
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        },
        "rpn_proposal": {
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            "min_bbox_size": 0
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            "mask_thr_binary": 0.5
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    }
}
