# YOLOv9 # parameters nc: 6 # number of classes depth_multiple: 1.0 # model depth multiple width_multiple: 1.0 # layer channel multiple #activation: nn.LeakyReLU(0.1) #activation: nn.ReLU() # anchors anchors: 3 # YOLOv9 backbone backbone: [ [-1, 1, Silence, []], # conv down [-1, 1, Conv, [64, 3, 2]], # 1-P1/2 # conv down [-1, 1, Conv, [128, 3, 2]], # 2-P2/4 # csp-elan block [-1, 1, RepNCSPELAN4, [256, 128, 64, 2]], # 3 # avg-conv down [-1, 1, ADown, [256]], # 4-P3/8 # csp-elan block [-1, 1, RepNCSPELAN4, [512, 256, 128, 2]], # 5 # avg-conv down [-1, 1, ADown, [512]], # 6-P4/16 # csp-elan block [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 7 # avg-conv down [-1, 1, ADown, [1024]], # 8-P5/32 # csp-elan block [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 9 # routing [1, 1, CBLinear, [[64]]], # 10 [3, 1, CBLinear, [[64, 128]]], # 11 [5, 1, CBLinear, [[64, 128, 256]]], # 12 [7, 1, CBLinear, [[64, 128, 256, 512]]], # 13 [9, 1, CBLinear, [[64, 128, 256, 512, 1024]]], # 14 # conv down [0, 1, Conv, [64, 3, 2]], # 15-P1/2 [[10, 11, 12, 13, 14, -1], 1, CBFuse, [[0, 0, 0, 0, 0]]], # 16 # conv down [-1, 1, Conv, [128, 3, 2]], # 17-P2/4 [[11, 12, 13, 14, -1], 1, CBFuse, [[1, 1, 1, 1]]], # 18 # csp-elan block [-1, 1, RepNCSPELAN4, [256, 128, 64, 2]], # 19 # avg-conv down fuse [-1, 1, ADown, [256]], # 20-P3/8 [[12, 13, 14, -1], 1, CBFuse, [[2, 2, 2]]], # 21 # csp-elan block [-1, 1, RepNCSPELAN4, [512, 256, 128, 2]], # 22 # avg-conv down fuse [-1, 1, ADown, [512]], # 23-P4/16 [[13, 14, -1], 1, CBFuse, [[3, 3]]], # 24 # csp-elan block [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 25 # avg-conv down fuse [-1, 1, ADown, [1024]], # 26-P5/32 [[14, -1], 1, CBFuse, [[4]]], # 27 # csp-elan block [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 28 ] # YOLOv9 head head: [ # multi-level auxiliary branch # elan-spp block [9, 1, SPPELAN, [512, 256]], # 29 # up-concat merge [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 7], 1, Concat, [1]], # cat backbone P4 # csp-elan block [-1, 1, RepNCSPELAN4, [512, 512, 256, 2]], # 32 # up-concat merge [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 5], 1, Concat, [1]], # cat backbone P3 # csp-elan block [-1, 1, RepNCSPELAN4, [256, 256, 128, 2]], # 35 # main branch # elan-spp block [28, 1, SPPELAN, [512, 256]], # 36 # up-concat merge [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 25], 1, Concat, [1]], # cat backbone P4 # csp-elan block [-1, 1, RepNCSPELAN4, [512, 512, 256, 2]], # 39 # up-concat merge [-1, 1, nn.Upsample, [None, 2, 'nearest']], [[-1, 22], 1, Concat, [1]], # cat backbone P3 # csp-elan block [-1, 1, RepNCSPELAN4, [256, 256, 128, 2]], # 42 (P3/8-small) # avg-conv-down merge [-1, 1, ADown, [256]], [[-1, 39], 1, Concat, [1]], # cat head P4 # csp-elan block [-1, 1, RepNCSPELAN4, [512, 512, 256, 2]], # 45 (P4/16-medium) # avg-conv-down merge [-1, 1, ADown, [512]], [[-1, 36], 1, Concat, [1]], # cat head P5 # csp-elan block [-1, 1, RepNCSPELAN4, [512, 1024, 512, 2]], # 48 (P5/32-large) # detect [[35, 32, 29, 42, 45, 48], 1, DualDDetect, [nc]], # DualDDetect(A3, A4, A5, P3, P4, P5) ]