dataset:
  path: ./det_coco_calib/
  sampler:
    get_data_num: 50
    suffix: jpg
  transform_ops:
  - type: DecodeImage
  - adaptive_side: long
    size:
    - 640
    - -1
    type: Resize
  - pad_to_square: true
    type: Pad
  - div255: true
    norm_type: null
    type: Normalize
  - type: ToTensor
engine:
  add_extra_ops_to_graph:
    params:
      confidence_threshold: 0.001
      nms_threshold: 0.65
      num_classes: 80
      seg_enable: true
      strides:
      - 8
      - 16
      - 32
    type: yolov8_nms
  calibration:
    calibrate_mode: percentile
    quantize_per_channel: true
    stream_mode: true
  common:
    cluster_mode: 0
    data_transport_mode: 3
  dtype: int8
  type: vacc
model:
  checkpoint: yolov8m-seg-640.torchscript.pt
  inputs:
    images:
    - 1
    - 3
    - 640
    - 640
  name: yolov8m-seg
workspace:
  enable_ir: false
  save_log: true
  work_dir: ./deploy_weights/