_BASE_: [
  '../datasets/coco_instance.yml',
  '../runtime.yml',
  '_base_/optimizer_1x.yml',
  '_base_/mask_rcnn_r50_fpn.yml',
  '_base_/mask_fpn_reader.yml',
]
pretrain_weights:  https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
weights: output/mask_rcnn_r50_vd_fpn_ssld_2x_coco/model_final

ResNet:
  depth: 50
  variant: d
  norm_type: bn
  freeze_at: 0
  return_idx: [0,1,2,3]
  num_stages: 4
  lr_mult_list: [0.05, 0.05, 0.1, 0.15]

epoch: 24
LearningRate:
  base_lr: 0.01
  schedulers:
  - !PiecewiseDecay
    gamma: 0.1
    milestones: [12, 22]
  - !LinearWarmup
    start_factor: 0.1
    steps: 1000