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62 lines
1.8 KiB
YAML
62 lines
1.8 KiB
YAML
3 weeks ago
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# Ultralytics YOLOv5 🚀, AGPL-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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- [19, 27, 44, 40, 38, 94] # P3/8
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- [96, 68, 86, 152, 180, 137] # P4/16
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- [140, 301, 303, 264, 238, 542] # P5/32
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- [436, 615, 739, 380, 925, 792] # P6/64
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# YOLOv5 v6.0 backbone
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backbone:
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# [from, number, module, args]
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[
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[-1, 1, Conv, [64, 6, 2, 2]], # 0-P1/2
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[-1, 1, Conv, [128, 3, 2]], # 1-P2/4
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[-1, 3, C3, [128]],
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[-1, 1, Conv, [256, 3, 2]], # 3-P3/8
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[-1, 6, C3, [256]],
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[-1, 1, Conv, [512, 3, 2]], # 5-P4/16
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[-1, 9, C3, [512]],
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[-1, 1, Conv, [768, 3, 2]], # 7-P5/32
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[-1, 3, C3, [768]],
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[-1, 1, Conv, [1024, 3, 2]], # 9-P6/64
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[-1, 3, C3, [1024]],
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[-1, 1, SPPF, [1024, 5]], # 11
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]
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# YOLOv5 v6.0 head
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head: [
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[-1, 1, Conv, [768, 1, 1]],
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[-1, 1, nn.Upsample, [None, 2, "nearest"]],
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[[-1, 8], 1, Concat, [1]], # cat backbone P5
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[-1, 3, C3, [768, False]], # 15
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[-1, 1, Conv, [512, 1, 1]],
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[-1, 1, nn.Upsample, [None, 2, "nearest"]],
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[[-1, 6], 1, Concat, [1]], # cat backbone P4
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[-1, 3, C3, [512, False]], # 19
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[-1, 1, Conv, [256, 1, 1]],
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[-1, 1, nn.Upsample, [None, 2, "nearest"]],
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[[-1, 4], 1, Concat, [1]], # cat backbone P3
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[-1, 3, C3, [256, False]], # 23 (P3/8-small)
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[-1, 1, Conv, [256, 3, 2]],
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[[-1, 20], 1, Concat, [1]], # cat head P4
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[-1, 3, C3, [512, False]], # 26 (P4/16-medium)
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[-1, 1, Conv, [512, 3, 2]],
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[[-1, 16], 1, Concat, [1]], # cat head P5
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[-1, 3, C3, [768, False]], # 29 (P5/32-large)
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[-1, 1, Conv, [768, 3, 2]],
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[[-1, 12], 1, Concat, [1]], # cat head P6
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[-1, 3, C3, [1024, False]], # 32 (P6/64-xlarge)
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[[23, 26, 29, 32], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5, P6)
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]
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