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59 lines
2.0 KiB
59 lines
2.0 KiB
model: null
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data: null
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# Training options
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epochs: 300
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batch_size: 16
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img_size: 640
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nosave: False
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cache: False # True/ram for ram, or disc
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device: '' # cuda device, i.e. 0 or 0,1,2,3 or cpu
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workers: 8
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project: "ultralytics-yolo"
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name: "exp" # TODO: make this informative, maybe exp{#number}_{datetime} ?
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exist_ok: False
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pretrained: False
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optimizer: "Adam" # choices=['SGD', 'Adam', 'AdamW', 'RMSProp']
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verbose: False
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seed: 0
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local_rank: -1
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#-----------------------------------#
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# Hyper-parameters
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lr0: 0.001 # initial learning rate (SGD=1E-2, Adam=1E-3)
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lrf: 0.01 # final OneCycleLR learning rate (lr0 * lrf)
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momentum: 0.937 # SGD momentum/Adam beta1
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weight_decay: 0.0005 # optimizer weight decay 5e-4
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warmup_epochs: 3.0 # warmup epochs (fractions ok)
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warmup_momentum: 0.8 # warmup initial momentum
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warmup_bias_lr: 0.1 # warmup initial bias lr
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box: 0.05 # box loss gain
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cls: 0.5 # cls loss gain
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cls_pw: 1.0 # cls BCELoss positive_weight
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obj: 1.0 # obj loss gain (scale with pixels)
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obj_pw: 1.0 # obj BCELoss positive_weight
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iou_t: 0.20 # IoU training threshold
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anchor_t: 4.0 # anchor-multiple threshold
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# anchors: 3 # anchors per output layer (0 to ignore)
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fl_gamma: 0.0 # focal loss gamma (efficientDet default gamma=1.5)
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hsv_h: 0.015 # image HSV-Hue augmentation (fraction)
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hsv_s: 0.7 # image HSV-Saturation augmentation (fraction)
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hsv_v: 0.4 # image HSV-Value augmentation (fraction)
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degrees: 0.0 # image rotation (+/- deg)
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translate: 0.1 # image translation (+/- fraction)
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scale: 0.5 # image scale (+/- gain)
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shear: 0.0 # image shear (+/- deg)
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perspective: 0.0 # image perspective (+/- fraction), range 0-0.001
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flipud: 0.0 # image flip up-down (probability)
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fliplr: 0.5 # image flip left-right (probability)
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mosaic: 1.0 # image mosaic (probability)
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mixup: 0.0 # image mixup (probability)
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copy_paste: 0.0 # segment copy-paste (probability)
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# Hydra configs -------------------------------------
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# to disable hydra directory creation
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hydra:
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output_subdir: null
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run:
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dir: .
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