text: _base_ = ['./faster_rcnn_r50_fpn.py']
  
  model = dict(
      type='FasterRCNN',
      backbone=dict(frozen_stages=4,
                    init_cfg=dict(type='Pretrained',
                                  checkpoint='checkpoints/up-e/d-r50.pth')),
      rpn_head=dict(
          loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0)),
      roi_head=dict(bbox_head=dict(
          num_classes=1,
          loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))),
      train_cfg=dict(rpn=dict(allowed_border=0),
                     rpn_proposal=dict(nms_across_levels=False,
                                       nms_pre=2000,
                                       nms_post=2000,
                                       max_num=2000,
                                       nms_thr=0.7,
                                       min_bbox_size=0)),
      test_cfg=dict(rpn=dict(nms_across_levels=False,
                             nms_pre=1000,
                             nms_post=1000,
                             max_num=1000,
                             nms_thr=0.7,
                             min_bbox_size=0)))
  