_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '_base_/picodet_esnet.yml',
  '_base_/optimizer_300e.yml',
  '_base_/picodet_640_reader.yml',
]

pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ESNet_x1_25_pretrained.pdparams
weights: output/picodet_l_640_coco/model_final
find_unused_parameters: True
use_ema: true
cycle_epoch: 40
snapshot_epoch: 10

ESNet:
  scale: 1.25
  feature_maps: [4, 11, 14]
  act: hard_swish
  channel_ratio: [0.875, 0.5, 1.0, 0.625, 0.5, 0.75, 0.625, 0.625, 0.5, 0.625, 1.0, 0.625, 0.75]

PicoHead:
  conv_feat:
    name: PicoFeat
    feat_in: 128
    feat_out: 128
    num_convs: 4
    num_fpn_stride: 4
    norm_type: bn
    share_cls_reg: False
  feat_in_chan: 128

TrainReader:
  batch_size: 48

LearningRate:
  base_lr: 0.3
  schedulers:
  - !CosineDecay
    max_epochs: 300
  - !LinearWarmup
    start_factor: 0.1
    steps: 300