_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '../ppyoloe/_base_/ppyoloe_plus_crn.yml',
  '../ppyoloe/_base_/ppyoloe_plus_reader.yml',
]
depth_mult: 0.33 # s version
width_mult: 0.50

log_iter: 50
snapshot_epoch: 4
weights: output/ppyoloe_plus_swin_tiny_36e_coco/model_final
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/swin_tiny_patch4_window7_224_22kto1k_pretrained.pdparams


architecture: PPYOLOE
norm_type: sync_bn
use_ema: true
ema_decay: 0.9998
ema_black_list: ['proj_conv.weight']
custom_black_list: ['reduce_mean']

PPYOLOE:
  backbone: SwinTransformer
  neck: CustomCSPPAN
  yolo_head: PPYOLOEHead
  post_process: ~

SwinTransformer:
  arch: 'swin_T_224' # ['swin_T_224', 'swin_S_224', 'swin_B_224', 'swin_L_224', 'swin_B_384', 'swin_L_384']
  ape: false
  drop_path_rate: 0.1
  patch_norm: true
  out_indices: [1, 2, 3]

PPYOLOEHead:
  static_assigner_epoch: 12
  nms:
    nms_top_k: 1000
    keep_top_k: 300
    score_threshold: 0.01
    nms_threshold: 0.7


TrainReader:
  batch_size: 8


epoch: 36
LearningRate:
  base_lr: 0.0001
  schedulers:
  - !PiecewiseDecay
    gamma: 0.1
    milestones: [24, 33]
  - !LinearWarmup
    start_factor: 0.1
    steps: 1000

OptimizerBuilder:
  clip_grad_by_norm: 1.0
  optimizer:
    type: AdamW
    weight_decay: 0.05
    param_groups:
      - params: ['absolute_pos_embed', 'relative_position_bias_table', 'norm']
        weight_decay: 0.0