# YOLOv5 🚀 by Ultralytics, GPL-3.0 license # Parameters nc: 80 # number of classes depth_multiple: 1.0 # model depth multiple width_multiple: 1.0 # layer channel multiple anchors: 3 # auto-anchor 3 anchors per P output layer # YOLOv5 v6.0 backbone backbone: # [from, number, module, args] [[-1, 1, Conv, [64, 6, 2, 2]], # 0-P1/2 [-1, 1, Conv, [128, 3, 2]], # 1-P2/4 [-1, 3, C3, [128]], [-1, 1, Conv, [256, 3, 2]], # 3-P3/8 [-1, 6, C3, [256]], [-1, 1, Conv, [512, 3, 2]], # 5-P4/16 [-1, 9, C3, [512]], [-1, 1, Conv, [768, 3, 2]], # 7-P5/32 [-1, 3, C3, [768]], [-1, 1, Conv, [1024, 3, 2]], # 9-P6/64 [-1, 3, C3, [1024]], [-1, 1, Conv, [1280, 3, 2]], # 11-P7/128 [-1, 3, C3, [1280]], [-1, 1, SPPF, [1280, 5]], # 13 ] # YOLOv5 head head: [[-1, 1, Conv, [1024, 1, 1]], [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 10], 1, Concat, [1]], # cat backbone P6 [-1, 3, C3, [1024, False]], # 17 [-1, 1, Conv, [768, 1, 1]], [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 8], 1, Concat, [1]], # cat backbone P5 [-1, 3, C3, [768, False]], # 21 [-1, 1, Conv, [512, 1, 1]], [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 6], 1, Concat, [1]], # cat backbone P4 [-1, 3, C3, [512, False]], # 25 [-1, 1, Conv, [256, 1, 1]], [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 4], 1, Concat, [1]], # cat backbone P3 [-1, 3, C3, [256, False]], # 29 (P3/8-small) [-1, 1, Conv, [256, 3, 2]], [[-1, 26], 1, Concat, [1]], # cat head P4 [-1, 3, C3, [512, False]], # 32 (P4/16-medium) [-1, 1, Conv, [512, 3, 2]], [[-1, 22], 1, Concat, [1]], # cat head P5 [-1, 3, C3, [768, False]], # 35 (P5/32-large) [-1, 1, Conv, [768, 3, 2]], [[-1, 18], 1, Concat, [1]], # cat head P6 [-1, 3, C3, [1024, False]], # 38 (P6/64-xlarge) [-1, 1, Conv, [1024, 3, 2]], [[-1, 14], 1, Concat, [1]], # cat head P7 [-1, 3, C3, [1280, False]], # 41 (P7/128-xxlarge) [[29, 32, 35, 38, 41], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5, P6, P7) ]