_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '../yolox/_base_/yolox_cspdarknet.yml',
  '../yolox/_base_/yolox_reader.yml'
]
depth_mult: 0.33
width_mult: 0.50

log_iter: 100
snapshot_epoch: 5
weights: output/yolox_convnext_s_36e_coco/model_final
pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/convnext_tiny_22k_224.pdparams


YOLOX:
  backbone: ConvNeXt
  neck: YOLOCSPPAN
  head: YOLOXHead
  size_stride: 32
  size_range: [15, 25] # multi-scale range [480*480 ~ 800*800]

ConvNeXt:
  arch: 'tiny'
  drop_path_rate: 0.4
  layer_scale_init_value: 1.0
  return_idx: [1, 2, 3]


TrainReader:
  batch_size: 8
  mosaic_epoch: 30


YOLOXHead:
  l1_epoch: 30
  nms:
    name: MultiClassNMS
    nms_top_k: 10000
    keep_top_k: 1000
    score_threshold: 0.001
    nms_threshold: 0.65


epoch: 36
LearningRate:
  base_lr: 0.0002
  schedulers:
  - !PiecewiseDecay
    gamma: 0.1
    milestones: [36]
    use_warmup: false

OptimizerBuilder:
  regularizer: false
  optimizer:
    type: AdamW
    weight_decay: 0.0005