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Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
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$ cd yolov5
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leoncch
glenn-jocher
fabiozappo
❔Question
when I add ghostbottleneck module to yolov5s.yaml
Additional context
parameters
nc: 2 # number of classes depth_multiple: 0.33 # model depth multiple width_multiple: 0.50 # layer channel multiple
anchors
anchors:
YOLOv5 backbone
backbone:
[from, number, module, args]
[[-1, 1, Focus, [64, 3]], # 0-P1/2 [-1, 1, Conv, [128, 3, 2]], # 1-P2/4 [-1, 3, GhostBottleneck, [128, 3, 1]], [-1, 1, Conv, [256, 3, 2]], # 3-P3/8 [-1, 9, GhostBottleneck, [256, 3, 1]], [-1, 1, Conv, [512, 3, 2]], # 5-P4/16 [-1, 9, GhostBottleneck, [512, 3, 1]], [-1, 1, Conv, [1024, 3, 2]], # 7-P5/32 [-1, 1, SPP, [1024, [5, 9, 13]]], [-1, 3, GhostBottleneck, [1024, 3, 1]], # 9 ]
YOLOv5 head
head: [[-1, 1, Conv, [512, 1, 1]], [-1, 1, nn.Upsample, [None, 2]], [[-1, 6], 1, Concat, [1]], # cat backbone P4 [-1, 3, GhostBottleneck, [512, 3, 1]], # 13
[-1, 1, Conv, [256, 1, 1]], [-1, 1, nn.Upsample, [None, 2]], [[-1, 4], 1, Concat, [1]], # cat backbone P3 [-1, 3, GhostBottleneck, [256, 3, 1]], # 17 (P3/8-small)
[-1, 1, Conv, [256, 3, 2]], [[-1, 14], 1, Concat, [1]], # cat head P4 [-1, 3, GhostBottleneck, [512, 3, 1]], # 20 (P4/16-medium)
[-1, 1, Conv, [512, 3, 2]], [[-1, 10], 1, Concat, [1]], # cat head P5 [-1, 3, GhostBottleneck, [1024, 3, 1]], # 23 (P5/32-large)
[[17, 20, 23], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) ]