architecture: MaskRCNN
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
weights: output/mask_rcnn_r50_fpn_1x/model_final
load_static_weights: True

# Model Achitecture
MaskRCNN:
  # model anchor info flow
  anchor: Anchor
  proposal: Proposal
  mask: Mask
  # model feat info flow
  backbone: ResNet
  rpn_head: RPNHead
  bbox_head: BBoxHead
  mask_head: MaskHead
  # post process
  bbox_post_process: BBoxPostProcess
  mask_post_process: MaskPostProcess

ResNet:
  # index 0 stands for res2
  depth: 50
  norm_type: bn
  freeze_at: 0
  return_idx: [2]
  num_stages: 3

RPNHead:
  rpn_feat:
    name: RPNFeat
    feat_in: 1024
    feat_out: 1024
  anchor_per_position: 15

Anchor:
  anchor_generator:
    name: AnchorGeneratorRPN
    anchor_sizes: [32, 64, 128, 256, 512]
    aspect_ratios: [0.5, 1.0, 2.0]
    stride: [16.0, 16.0]
    variance: [1.0, 1.0, 1.0, 1.0]
  anchor_target_generator:
    name: AnchorTargetGeneratorRPN
    batch_size_per_im: 256
    fg_fraction: 0.5
    negative_overlap: 0.3
    positive_overlap: 0.7
    straddle_thresh: 0.0

Proposal:
  proposal_generator:
    name: ProposalGenerator
    min_size: 0.0
    nms_thresh: 0.7
    train_pre_nms_top_n: 12000
    train_post_nms_top_n: 2000
    infer_pre_nms_top_n: 6000
    infer_post_nms_top_n: 1000
  proposal_target_generator:
    name: ProposalTargetGenerator
    batch_size_per_im: 512
    bbox_reg_weights: [0.1, 0.1, 0.2, 0.2]
    bg_thresh_hi: [0.5,]
    bg_thresh_lo: [0.0,]
    fg_thresh: [0.5,]
    fg_fraction: 0.25

BBoxHead:
  bbox_feat:
    name: BBoxFeat
    roi_extractor: RoIAlign
    head_feat:
      name: Res5Head
      feat_in: 1024
      feat_out: 512
  with_pool: true
  in_feat: 2048

BBoxPostProcess:
  decode:
    name: RCNNBox
    num_classes: 81
    batch_size: 1
  nms:
    name: MultiClassNMS
    keep_top_k: 100
    score_threshold: 0.05
    nms_threshold: 0.5

Mask:
  mask_target_generator:
    name: MaskTargetGenerator
    mask_resolution: 14

RoIAlign:
  resolution: 14
  sampling_ratio: 0
  start_level: 0
  end_level: 0

MaskHead:
  mask_feat:
    name: MaskFeat
    num_convs: 0
    feat_in: 2048
    feat_out: 256
    mask_roi_extractor: RoIAlign
    share_bbox_feat: true
  feat_in: 256


MaskPostProcess:
  mask_resolution: 14