text: _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py'
  
  model = dict(
      roi_head=dict(
          type='PISARoIHead',
          bbox_head=dict(
              loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))))
  
  train_cfg = dict(
      rpn_proposal=dict(
          nms_across_levels=False,
          nms_pre=2000,
          nms_post=2000,
          max_num=2000,
          nms_thr=0.7,
          min_bbox_size=0),
      rcnn=dict(
          sampler=dict(
              type='ScoreHLRSampler',
              num=512,
              pos_fraction=0.25,
              neg_pos_ub=-1,
              add_gt_as_proposals=True,
              k=0.5,
              bias=0.),
          isr=dict(k=2, bias=0),
          carl=dict(k=1, bias=0.2)))
  
  test_cfg = dict(
      rpn=dict(
          nms_across_levels=False,
          nms_pre=2000,
          nms_post=2000,
          max_num=2000,
          nms_thr=0.7,
          min_bbox_size=0))
  