Yolov5s/models/yolov5s-noupsample.yaml
2026-03-11 16:13:59 +08:00

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YAML

# parameters
nc: 80 # number of classes
depth_multiple: 0.33 # model depth multiple
width_multiple: 0.50 # layer channel multiple
# anchors
anchors:
- [10,13, 16,30, 33,23] # P3/8
- [30,61, 62,45, 59,119] # P4/16
- [116,90, 156,198, 373,326] # P5/32
# YOLOv5 backbone
backbone:
# [from, number, module, args]
[[-1, 1, Focus, [64, 3]], # 0-P1/2
[-1, 1, Conv, [128, 3, 2]], # 1-P2/4
[-1, 3, BottleneckCSP, [128]],
[-1, 1, Conv, [256, 3, 2]], # 3-P3/8
[-1, 9, BottleneckCSP, [256]], #4
[-1, 1, Conv, [512, 3, 2]], # 5-P4/16
[-1, 9, BottleneckCSP, [512]], #6
[-1, 1, Conv, [1024, 3, 2]], # 7-P5/32
[-1, 1, SPP, [1024, [5, 9, 13]]],
[-1, 3, BottleneckCSP, [1024, False]], # 9
]
# YOLOv5 head
head:
[[4, 1, Conv, [256, 3, 1]], #10
[6, 1, Conv, [512, 3, 1]], #11
[[7, 9], 1, Concat, [1]], # cat head P5
[-1, 3, BottleneckCSP, [1024, False]], # 13
[[10, 11, 13], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
]