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GitHub Repository: hukaixuan19970627/yolov5_obb
 Path: blob/master/models/hub/yolov3.yaml
Views: 475
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license

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# Parameters

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nc: 80  # number of classes

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depth_multiple: 1.0  # model depth multiple

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width_multiple: 1.0  # layer channel multiple

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anchors:

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  - [10,13, 16,30, 33,23]  # P3/8

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  - [30,61, 62,45, 59,119]  # P4/16

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  - [116,90, 156,198, 373,326]  # P5/32

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# darknet53 backbone

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backbone:

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  # [from, number, module, args]

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  [[-1, 1, Conv, [32, 3, 1]],  # 0

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   [-1, 1, Conv, [64, 3, 2]],  # 1-P1/2

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   [-1, 1, Bottleneck, [64]],

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   [-1, 1, Conv, [128, 3, 2]],  # 3-P2/4

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   [-1, 2, Bottleneck, [128]],

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   [-1, 1, Conv, [256, 3, 2]],  # 5-P3/8

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   [-1, 8, Bottleneck, [256]],

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   [-1, 1, Conv, [512, 3, 2]],  # 7-P4/16

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   [-1, 8, Bottleneck, [512]],

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   [-1, 1, Conv, [1024, 3, 2]],  # 9-P5/32

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   [-1, 4, Bottleneck, [1024]],  # 10

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  ]

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# YOLOv3 head

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head:

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  [[-1, 1, Bottleneck, [1024, False]],

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   [-1, 1, Conv, [512, [1, 1]]],

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   [-1, 1, Conv, [1024, 3, 1]],

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   [-1, 1, Conv, [512, 1, 1]],

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   [-1, 1, Conv, [1024, 3, 1]],  # 15 (P5/32-large)

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   [-2, 1, Conv, [256, 1, 1]],

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   [-1, 1, nn.Upsample, [None, 2, 'nearest']],

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   [[-1, 8], 1, Concat, [1]],  # cat backbone P4

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   [-1, 1, Bottleneck, [512, False]],

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   [-1, 1, Bottleneck, [512, False]],

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   [-1, 1, Conv, [256, 1, 1]],

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   [-1, 1, Conv, [512, 3, 1]],  # 22 (P4/16-medium)

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   [-2, 1, Conv, [128, 1, 1]],

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   [-1, 1, nn.Upsample, [None, 2, 'nearest']],

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   [[-1, 6], 1, Concat, [1]],  # cat backbone P3

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   [-1, 1, Bottleneck, [256, False]],

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   [-1, 2, Bottleneck, [256, False]],  # 27 (P3/8-small)

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   [[27, 22, 15], 1, Detect, [nc, anchors]],   # Detect(P3, P4, P5)

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  ]

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