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Update hyp.finetune.yaml on VOC results

This commit is contained in:
Glenn Jocher 2020-08-22 15:05:47 -07:00
parent fb05681a04
commit 1309400e6b
1 changed files with 8 additions and 8 deletions
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data/hyp.finetune.yaml
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@ -4,12 +4,12 @@
lr0: 0.01 # initial learning rate (SGD=1E-2, Adam=1E-3) lr0: 0.01 # initial learning rate (SGD=1E-2, Adam=1E-3)
momentum: 0.937 # SGD momentum/Adam beta1 momentum: 0.94 # SGD momentum/Adam beta1
weight_decay: 0.0005 # optimizer weight decay 5e-4 weight_decay: 0.0005 # optimizer weight decay 5e-4
giou: 0.05 # GIoU loss gain giou: 0.05 # GIoU loss gain
cls: 0.5 # cls loss gain cls: 0.2 # cls loss gain
cls_pw: 1.0 # cls BCELoss positive_weight cls_pw: 1.0 # cls BCELoss positive_weight
obj: 1.0 # obj loss gain (scale with pixels) obj: 0.3 # obj loss gain (scale with pixels)
obj_pw: 1.0 # obj BCELoss positive_weight obj_pw: 1.0 # obj BCELoss positive_weight
iou_t: 0.20 # IoU training threshold iou_t: 0.20 # IoU training threshold
anchor_t: 4.0 # anchor-multiple threshold anchor_t: 4.0 # anchor-multiple threshold
@ -17,11 +17,11 @@ fl_gamma: 0.0 # focal loss gamma (efficientDet default gamma=1.5)
hsv_h: 0.015 # image HSV-Hue augmentation (fraction) hsv_h: 0.015 # image HSV-Hue augmentation (fraction)
hsv_s: 0.7 # image HSV-Saturation augmentation (fraction) hsv_s: 0.7 # image HSV-Saturation augmentation (fraction)
hsv_v: 0.4 # image HSV-Value augmentation (fraction) hsv_v: 0.4 # image HSV-Value augmentation (fraction)
degrees: 0.0 # image rotation (+/- deg) degrees: 1.0 # image rotation (+/- deg)
translate: 0.1 # image translation (+/- fraction) translate: 0.1 # image translation (+/- fraction)
scale: 0.5 # image scale (+/- gain) scale: 0.6 # image scale (+/- gain)
shear: 0.0 # image shear (+/- deg) shear: 1.0 # image shear (+/- deg)
perspective: 0.0 # image perspective (+/- fraction), range 0-0.001 perspective: 0.0 # image perspective (+/- fraction), range 0-0.001
flipud: 0.0 # image flip up-down (probability) flipud: 0.01 # image flip up-down (probability)
fliplr: 0.5 # image flip left-right (probability) fliplr: 0.5 # image flip left-right (probability)
mixup: 0.0 # image mixup (probability) mixup: 0.2 # image mixup (probability)