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| # parameters | |
| nc: 1 # number of classes | |
| depth_multiple: 0.67 # model depth multiple | |
| width_multiple: 0.75 # layer channel multiple | |
| # anchors | |
| anchors: | |
| - [4,5, 8,10, 13,16] # P3/8 | |
| - [23,29, 43,55, 73,105] # P4/16 | |
| - [146,217, 231,300, 335,433] # P5/32 | |
| # YOLOv5 backbone | |
| backbone: | |
| # [from, number, module, args] | |
| [[-1, 1, StemBlock, [64, 3, 2]], # 0-P1/2 | |
| [-1, 3, C3, [128]], | |
| [-1, 1, Conv, [256, 3, 2]], # 2-P3/8 | |
| [-1, 9, C3, [256]], | |
| [-1, 1, Conv, [512, 3, 2]], # 4-P4/16 | |
| [-1, 9, C3, [512]], | |
| [-1, 1, Conv, [1024, 3, 2]], # 6-P5/32 | |
| [-1, 1, SPP, [1024, [3,5,7]]], | |
| [-1, 3, C3, [1024, False]], # 8 | |
| ] | |
| # YOLOv5 head | |
| head: | |
| [[-1, 1, Conv, [512, 1, 1]], | |
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | |
| [[-1, 5], 1, Concat, [1]], # cat backbone P4 | |
| [-1, 3, C3, [512, False]], # 12 | |
| [-1, 1, Conv, [256, 1, 1]], | |
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | |
| [[-1, 3], 1, Concat, [1]], # cat backbone P3 | |
| [-1, 3, C3, [256, False]], # 16 (P3/8-small) | |
| [-1, 1, Conv, [256, 3, 2]], | |
| [[-1, 13], 1, Concat, [1]], # cat head P4 | |
| [-1, 3, C3, [512, False]], # 19 (P4/16-medium) | |
| [-1, 1, Conv, [512, 3, 2]], | |
| [[-1, 9], 1, Concat, [1]], # cat head P5 | |
| [-1, 3, C3, [1024, False]], # 22 (P5/32-large) | |
| [[16, 19, 22], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | |
| ] | |