yolov8_seg_x_500e_coco.yml

_BASE_: [
  '../datasets/coco_instance.yml',
  '../runtime.yml',
  '_base_/optimizer_500e_high.yml',
  '_base_/yolov8_seg_cspdarknet.yml',
  '_base_/yolov8_seg_reader_high_aug.yml',
]
depth_mult: 1.0 # not 1.33 as in YOLOv5
width_mult: 1.25

log_iter: 50
snapshot_epoch: 10
weights: output/yolov8_seg_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


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

EvalReader:
  batch_size: 1