_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  './_base_/optimizer_300e.yml',
  './_base_/ppyoloe_crn.yml',
  './_base_/ppyoloe_reader.yml',
]

log_iter: 100
snapshot_epoch: 10
weights: output/ppyoloe_crn_s_400e_coco/model_final

pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_s_pretrained.pdparams
depth_mult: 0.33
width_mult: 0.50

TrainReader:
  batch_size: 32

LearningRate:
  base_lr: 0.04


epoch: 400
LearningRate:
  base_lr: 0.025
  schedulers:
    - !CosineDecay
      max_epochs: 480
    - !LinearWarmup
      start_factor: 0.
      epochs: 5

OptimizerBuilder:
  optimizer:
    momentum: 0.9
    type: Momentum
  regularizer:
    factor: 0.0005
    type: L2


PPYOLOEHead:
  static_assigner_epoch: 133
  nms:
    name: MultiClassNMS
    nms_top_k: 10000
    keep_top_k: 300
    score_threshold: 0.01
    nms_threshold: 0.7