text: # model setting
  model = dict(
      type='FastRCNN',
      backbone=dict(
          type='ResNet3dSlowOnly',
          depth=50,
          pretrained=None,
          pretrained2d=False,
          lateral=False,
          num_stages=4,
          conv1_kernel=(1, 7, 7),
          conv1_stride_t=1,
          pool1_stride_t=1,
          spatial_strides=(1, 2, 2, 1)),
      roi_head=dict(
          type='AVARoIHead',
          bbox_roi_extractor=dict(
              type='SingleRoIExtractor3D',
              roi_layer_type='RoIAlign',
              output_size=8,
              with_temporal_pool=True),
          bbox_head=dict(
              type='BBoxHeadAVA',
              in_channels=2048,
              num_classes=81,
              multilabel=True,
              dropout_ratio=0.5)),
      train_cfg=dict(
          rcnn=dict(
              assigner=dict(
                  type='MaxIoUAssignerAVA',
                  pos_iou_thr=0.9,
                  neg_iou_thr=0.9,
                  min_pos_iou=0.9),
              sampler=dict(
                  type='RandomSampler',
                  num=32,
                  pos_fraction=1,
                  neg_pos_ub=-1,
                  add_gt_as_proposals=True),
              pos_weight=1.0,
              debug=False)),
      test_cfg=dict(rcnn=dict(action_thr=0.00)))
  