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Copy pathyolov5s_ResNet50_ECA_weights.yaml
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yolov5s_ResNet50_ECA_weights.yaml
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
# Parameters
nc: 80 # number of classes
depth_multiple: 0.33 # model depth multiple
width_multiple: 0.50 # layer channel multiple
anchors:
- [ 10,13, 16,30, 33,23 ] # P3/8
- [ 30,61, 62,45, 59,119 ] # P4/16
- [ 116,90, 156,198, 373,326 ] # P5/32
# YOLOv5 v6.0 backbone
backbone:
# [from, number, module, args] # 3, 256, 256
[ [ -1, 1, ResConv, [ 64, 7, 2, 3 ] ], # 0-P1/2 32, 128, 128
[ -1, 1, ResLayer, [ ResBlock, 64, 3, 2 ] ], # 1-P2/4 64, 64, 64
[ -1, 1, ResLayer, [ ResBlock, 128, 4, 2 ] ], # 2-P3/8 128, 32, 32
[ -1, 1, ResLayer, [ ResBlock, 256, 6, 2 ] ], # 3-P4/16 256, 16, 16
[ -1, 1, ResLayer, [ ResBlock, 512, 3, 2 ] ], # 4-P5/32 512, 8, 8
]
# YOLOv5 v6.0 head
head:
[ [ -1, 1, Conv, [ 512, 1, 1 ] ], # 256, 8, 8
[ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ], # 256, 16, 16
[ [ -1, 3 ], 1, Concat, [ 1 ] ], # cat backbone P4 512, 16, 16
[ -1, 3, C3, [ 512, False ] ], # 8 256, 16, 16
[ -1, 1, Conv, [ 256, 1, 1 ] ], # 128, 16, 16
[ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ], # 128, 32, 32
[ [ -1, 2 ], 1, Concat, [ 1 ] ], # 11 cat backbone P3 256, 32, 32
[ [ 9, 11 ], 1, Fusion_ECA, [ 256, 128, 'downsample' ] ], # 12 128, 16, 16
[ [ 5, 12 ], 1, Fusion_ECA, [ 128, 256, 'downsample' ] ], # 13 256, 8, 8
[ [ 12, 13 ], 1, Fusion_ECA, [ 256, 128, 'upsample' ] ], # 14 128, 16, 16
[ [ 11, 14 ], 1, Fusion_ECA, [ 128, 256, 'upsample' ] ], # 15 256, 32, 32
[ -1, 3, C3, [ 256, False ] ], # 16 (P3/8-small) 128, 32, 32
[ -1, 1, Conv, [ 256, 3, 2 ] ], # 128, 16, 16
[ [ -1, 14 ], 1, Concat, [ 1 ] ], # cat head P4 256, 16, 16
[ -1, 3, C3, [ 512, False ] ], # 19 (P4/16-medium) 256, 16, 16
[ -1, 1, Conv, [ 512, 3, 2 ] ], # 256, 8, 8
[ [ -1, 13 ], 1, Concat, [ 1 ] ], # cat head P5 512, 8, 8
[ -1, 3, C3, [ 1024, False ] ], # 22 (P5/32-large) 512, 8, 8
[ [ 16, 19, 22 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4, P5)
]