yolov6_seg_x_300e_coco.yml

_BASE_: [
  '../datasets/coco_instance.yml',
  '../runtime.yml',
  '_base_/optimizer_300e.yml',
  '_base_/yolov6_seg_cspbep.yml',
  '_base_/yolov6_seg_reader_high_aug.yml',
]
depth_mult: 1.33
width_mult: 1.25
log_iter: 20
snapshot_epoch: 10
weights: output/yolov6_seg_x_300e_coco/model_final


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

EvalReader:
  batch_size: 1


### model config
act: 'silu'
training_mode: "conv_silu_nobias" # Note: X use silu, seg use conv_silu_nobias

YOLOv6:
  backbone: CSPBepBackbone
  neck: CSPRepBiFPAN
  yolo_head: EffiDeInsHead
  post_process: ~

CSPBepBackbone:
  csp_e: 0.50

CSPRepBiFPAN:
  csp_e: 0.50

EffiDeInsHead:
  reg_max: 16
  use_dfl: True
  iou_type: 'giou'
  loss_weight: {cls: 1.0, iou: 2.5, dfl: 0.5}