yolov6_seg_n_300e_coco.yml

_BASE_: [
  '../datasets/coco_instance.yml',
  '../runtime.yml',
  '_base_/optimizer_300e.yml',
  '_base_/yolov6_seg_efficientrep.yml',
  '_base_/yolov6_seg_reader.yml',
]
depth_mult: 0.33
width_mult: 0.25
log_iter: 20
snapshot_epoch: 10
weights: output/yolov6_seg_n_300e_coco/model_final


### reader config
TrainReader:
  batch_size: 8 # default 8 gpus, total bs = 64

EvalReader:
  batch_size: 1


### model config
act: 'relu'
training_mode: "repvgg"

YOLOv6:
  backbone: EfficientRep
  neck: RepBiFPAN
  yolo_head: EffiDeInsHead
  post_process: ~

EffiDeInsHead:
  reg_max: 0
  use_dfl: False # False in n/s
  loss_weight: {cls: 1.0, iou: 2.5}
  iou_type: 'siou' # only in n version