在yolov5-6.0版本中，超参数配置文件有三个，目录在..\yolov5-6.1\data\hyps中，一共有
hyp.scratch-high.yaml
hyp.scratch-low.yaml
hyp.scratch-med.yaml
这三个超参数配置文件，经过比较，发现里面参数个数和内容完全相同，区别在于各参数具体数值存在大小差异；
根据原来的注释并结合参数名称，大致将各参数进行分类，如下所示：
# 优化器相关
lr0: 0.01 # initial learning rate (SGD=1E-2, Adam=1E-3)
lrf: 0.2 # final OneCycleLR learning rate (lr0 * lrf)
momentum: 0.937 # SGD momentum/Adam beta1
weight_decay: 0.0005 # optimizer weight decay 5e-4
# Warmup 相关
warmup_epochs: 3.0 # warmup epochs (fractions ok)
warmup_momentum: 0.8 # warmup initial momentum
warmup_bias_lr: 0.1 # warmup initial bias lr
# 不同损失函数权重，以及其他损失函数相关内容
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
fl_gamma: 0.0 # focal loss gamma (efficientDet default gamma=1.5)
# anchor
anchor_t: 4.0 # anchor-multiple threshold
# anchors: 3 # anchors per output layer (0 to ignore)
# 数据增强相关 - 色彩转换
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)
# 数据增强相关：旋转、平移、扭曲等
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
# 数据增强相关 - 翻转
flipud: 0.0 # image flip up-down (probability)
fliplr: 0.5 # image flip left-right (probability)
# 数据增强相关 - mosaic/mixup
mosaic: 1.0 # image mosaic (probability)
mixup: 0.0 # image mixup (probability)