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mobilenet-v1.yaml
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mobilenet-v1.yaml
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# parameters
number_classes: 20 # number of classes
depth_multiple: 1.0 # model depth multiple
width_multiple: 1.0 # layer channel multiple
# anchors
anchors:
- [10,14, 23,27, 37,58] # P4/16
- [81,82, 135,169, 344,319] # P5/32
# MobileNet-v1 backbone
backbone:
# [from, number, module, args]
[[-1, 1, Conv, [32, 3, 2]], # 0-P1/2
[-1, 1, MobileNetConv, [32, 3, 1]],
[-1, 1, MobileNetConv, [64, 1, 1]],
[-1, 1, MobileNetConv, [64, 3, 2]], # 3-P2/4
[-1, 1, MobileNetConv, [128, 1, 1]],
[-1, 1, MobileNetConv, [128, 3, 1]],
[-1, 1, MobileNetConv, [128, 1, 1]],
[-1, 1, MobileNetConv, [128, 3, 2]], # 7-P3/8
[-1, 1, MobileNetConv, [256, 1, 1]],
[-1, 1, MobileNetConv, [256, 3, 1]],
[-1, 1, MobileNetConv, [256, 1, 1]],
[-1, 1, MobileNetConv, [256, 3, 2]], # 11-P4/16
[-1, 1, MobileNetConv, [512, 1, 1]],
[-1, 1, MobileNetConv, [512, 3, 1]],
[-1, 1, MobileNetConv, [512, 1, 1]],
[-1, 1, MobileNetConv, [512, 3, 1]],
[-1, 1, MobileNetConv, [512, 1, 1]],
[-1, 1, MobileNetConv, [512, 3, 1]],
[-1, 1, MobileNetConv, [512, 1, 1]],
[-1, 1, MobileNetConv, [512, 3, 1]],
[-1, 1, MobileNetConv, [512, 1, 1]],
[-1, 1, MobileNetConv, [512, 3, 1]],
[-1, 1, MobileNetConv, [512, 1, 1]],
[-1, 1, MobileNetConv, [512, 3, 2]], # 23-P5/32
[-1, 1, MobileNetConv, [1024, 1, 1]],
[-1, 1, MobileNetConv, [1024, 3, 1]],
[-1, 1, MobileNetConv, [1024, 1, 1]],
]
# YOLOv3-tiny head
head:
[[-1, 1, Bottleneck, [512, False]], # 27
[-1, 1, Conv, [128, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, "nearest"]],
[[-1, 12], 1, Concat, [1]], # concat backbone P4
[-1, 1, Conv, [256, 1, 1]], # 31
[[31, 27], 1, Detect, [number_classes, anchors]], # Detect(P4, P5)
]