_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '_base_/picodet_v2.yml',
  '_base_/optimizer_300e.yml',
  '_base_/picodet_416_reader.yml',
]

pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x2_0_pretrained.pdparams
weights: output/picodet_l_320_coco/best_model
find_unused_parameters: True
use_ema: true
epoch: 250
snapshot_epoch: 10

LCNet:
  scale: 2.0
  feature_maps: [3, 4, 5]

LCPAN:
  out_channels: 160

PicoHeadV2:
  conv_feat:
    name: PicoFeat
    feat_in: 160
    feat_out: 160
    num_convs: 4
    num_fpn_stride: 4
    norm_type: bn
    share_cls_reg: True
    use_se: True
  feat_in_chan: 160

LearningRate:
  base_lr: 0.12
  schedulers:
  - name: CosineDecay
    max_epochs: 300
  - name: LinearWarmup
    start_factor: 0.1
    steps: 300

TrainReader:
  batch_size: 24