yolov8p6_x_500e_coco.yml

_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '_base_/optimizer_500e_high.yml',
  '_base_/yolov8p6_cspdarknet.yml',
  '_base_/yolov8p6_reader.yml',
]
depth_mult: 1.0 # not 1.33 as in YOLOv5-P6
width_mult: 1.25

log_iter: 50
snapshot_epoch: 10
weights: output/yolov8p6_x_500e_coco/model_final


YOLOv8CSPDarkNet:
  last_stage_ch: 512 # The actual channel is int(512 * width_mult), not int(1024 * width_mult) as in YOLOv5-P6
  last2_stage_ch: 512 # The actual channel is int(512 * width_mult), not int(768 * width_mult) as in YOLOv5-P6


TrainReader:
  batch_size: 16 # default 8 gpus, total bs = 128