model: null
data: null
train:
  epochs: 300
  batch_size: 16
  img_size: 640
  nosave: False
  cache: False # True/ram for ram, or disc
  device: '' # cuda device, i.e. 0 or 0,1,2,3 or cpu
  workers: 8
  project: "ultralytics-yolo"
  name: "exp" # TODO: make this informative, maybe exp{#number}_{datetime} ?
  exist_ok: False
  pretrained: False
  optimizer: "Adam" # choices=['SGD', 'Adam', 'AdamW', 'RMSProp']
  verbose: False
  seed: 0
  local_rank: -1

hyps:
  lr0: 0.001  # initial learning rate (SGD=1E-2, Adam=1E-3)
  lrf: 0.01  # final OneCycleLR learning rate (lr0 * lrf)
  momentum: 0.937  # SGD momentum/Adam beta1
  weight_decay: 0.0005  # optimizer weight decay 5e-4
  warmup_epochs: 3.0  # warmup epochs (fractions ok)
  warmup_momentum: 0.8  # warmup initial momentum
  warmup_bias_lr: 0.1  # warmup initial bias lr
  box: 0.05  # box loss gain
  cls: 0.5  # cls loss gain
  cls_pw: 1.0  # cls BCELoss positive_weight
  obj: 1.0  # obj loss gain (scale with pixels)
  obj_pw: 1.0  # obj BCELoss positive_weight
  iou_t: 0.20  # IoU training threshold
  anchor_t: 4.0  # anchor-multiple threshold
  # anchors: 3  # anchors per output layer (0 to ignore)
  fl_gamma: 0.0  # focal loss gamma (efficientDet default gamma=1.5)
  hsv_h: 0.015  # image HSV-Hue augmentation (fraction)
  hsv_s: 0.7  # image HSV-Saturation augmentation (fraction)
  hsv_v: 0.4  # image HSV-Value augmentation (fraction)
  degrees: 0.0  # image rotation (+/- deg)
  translate: 0.1  # image translation (+/- fraction)
  scale: 0.5  # image scale (+/- gain)
  shear: 0.0  # image shear (+/- deg)
  perspective: 0.0  # image perspective (+/- fraction), range 0-0.001
  flipud: 0.0  # image flip up-down (probability)
  fliplr: 0.5  # image flip left-right (probability)
  mosaic: 1.0  # image mosaic (probability)
  mixup: 0.0  # image mixup (probability)
  copy_paste: 0.0  # segment copy-paste (probability)

# to disable hydra directory creation
hydra:
  output_subdir: null
  run:
    dir: .