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| # parameters | |
| nc: 1 # number of classes | |
| depth_multiple: 1.0 # model depth multiple | |
| width_multiple: 1.0 # layer channel multiple | |
| # anchors | |
| anchors: | |
| - [6,7, 9,11, 13,16] # P3/8 | |
| - [18,23, 26,33, 37,47] # P4/16 | |
| - [54,67, 77,104, 112,154] # P5/32 | |
| - [174,238, 258,355, 445,568] # P6/64 | |
| # YOLOv5 backbone | |
| backbone: | |
| # [from, number, module, args] | |
| [[-1, 1, StemBlock, [32, 3, 2]], # 0-P2/4 | |
| [-1, 1, ShuffleV2Block, [128, 2]], # 1-P3/8 | |
| [-1, 3, ShuffleV2Block, [128, 1]], # 2 | |
| [-1, 1, ShuffleV2Block, [256, 2]], # 3-P4/16 | |
| [-1, 7, ShuffleV2Block, [256, 1]], # 4 | |
| [-1, 1, ShuffleV2Block, [384, 2]], # 5-P5/32 | |
| [-1, 3, ShuffleV2Block, [384, 1]], # 6 | |
| [-1, 1, ShuffleV2Block, [512, 2]], # 7-P6/64 | |
| [-1, 3, ShuffleV2Block, [512, 1]], # 8 | |
| ] | |
| # YOLOv5 head | |
| head: | |
| [[-1, 1, Conv, [128, 1, 1]], | |
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | |
| [[-1, 6], 1, Concat, [1]], # cat backbone P5 | |
| [-1, 1, C3, [128, False]], # 12 | |
| [-1, 1, Conv, [128, 1, 1]], | |
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | |
| [[-1, 4], 1, Concat, [1]], # cat backbone P4 | |
| [-1, 1, C3, [128, False]], # 16 (P4/8-small) | |
| [-1, 1, Conv, [128, 1, 1]], | |
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | |
| [[-1, 2], 1, Concat, [1]], # cat backbone P3 | |
| [-1, 1, C3, [128, False]], # 20 (P3/8-small) | |
| [-1, 1, Conv, [128, 3, 2]], | |
| [[-1, 17], 1, Concat, [1]], # cat head P4 | |
| [-1, 1, C3, [128, False]], # 23 (P4/16-medium) | |
| [-1, 1, Conv, [128, 3, 2]], | |
| [[-1, 13], 1, Concat, [1]], # cat head P5 | |
| [-1, 1, C3, [128, False]], # 26 (P5/32-large) | |
| [-1, 1, Conv, [128, 3, 2]], | |
| [[-1, 9], 1, Concat, [1]], # cat head P6 | |
| [-1, 1, C3, [128, False]], # 29 (P6/64-large) | |
| [[20, 23, 26, 29], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | |
| ] | |