faster_rcnn_r50_fpn_groie_1x_coco-v15.py

_base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'
# model settings
model = dict(
    roi_head=dict(
        bbox_roi_extractor=dict(
            type='GenericRoIExtractor',
            aggregation='sum',
            roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=2),
            out_channels=256,
            featmap_strides=[4, 8, 16, 32],
            pre_cfg=[
                dict(
                    type='ConvModule',
                    in_channels=256,
                    out_channels=256,
                    kernel_size=(7, 3),
                    padding=1,
                    inplace=False,
                ),
                dict(
                    type='ConvModule',
                    in_channels=256,
                    out_channels=256,
                    kernel_size=(3, 7),
                    padding=3,
                    inplace=False,
                ),
            ],
        )))