rtdetrv2_r34vd_120e_coco.yml

__include__: [
  '../dataset/coco_detection.yml',
  '../runtime.yml',
  './include/dataloader.yml',
  './include/optimizer.yml',
  './include/rtdetrv2_r50vd.yml',
]


output_dir: ./output/rtdetrv2_r34vd_120e_coco


PResNet:
  depth: 34
  freeze_at: -1
  freeze_norm: False
  pretrained: True


HybridEncoder:
  in_channels: [128, 256, 512]
  hidden_dim: 256
  expansion: 0.5


RTDETRTransformerv2:
  num_layers: 4


epoches: 120

optimizer:
  type: AdamW
  params: 
    - 
      params: '^(?=.*backbone)(?!.*norm|bn).*$'
      lr: 0.00005
    - 
      params: '^(?=.*backbone)(?=.*norm|bn).*$'
      lr: 0.00005
      weight_decay: 0.
    - 
      params: '^(?=.*(?:encoder|decoder))(?=.*(?:norm|bn|bias)).*$'
      weight_decay: 0.

  lr: 0.0001
  betas: [0.9, 0.999]
  weight_decay: 0.0001


train_dataloader: 
  dataset: 
    transforms:
      policy:
        epoch: 117
  collate_fn:
    stop_epoch: 117