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Path: blob/master/models/hub/yolov5x6.yaml
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license12# Parameters3nc: 80 # number of classes4depth_multiple: 1.33 # model depth multiple5width_multiple: 1.25 # layer channel multiple6anchors:7- [19,27, 44,40, 38,94] # P3/88- [96,68, 86,152, 180,137] # P4/169- [140,301, 303,264, 238,542] # P5/3210- [436,615, 739,380, 925,792] # P6/641112# YOLOv5 v6.0 backbone13backbone:14# [from, number, module, args]15[[-1, 1, Conv, [64, 6, 2, 2]], # 0-P1/216[-1, 1, Conv, [128, 3, 2]], # 1-P2/417[-1, 3, C3, [128]],18[-1, 1, Conv, [256, 3, 2]], # 3-P3/819[-1, 6, C3, [256]],20[-1, 1, Conv, [512, 3, 2]], # 5-P4/1621[-1, 9, C3, [512]],22[-1, 1, Conv, [768, 3, 2]], # 7-P5/3223[-1, 3, C3, [768]],24[-1, 1, Conv, [1024, 3, 2]], # 9-P6/6425[-1, 3, C3, [1024]],26[-1, 1, SPPF, [1024, 5]], # 1127]2829# YOLOv5 v6.0 head30head:31[[-1, 1, Conv, [768, 1, 1]],32[-1, 1, nn.Upsample, [None, 2, 'nearest']],33[[-1, 8], 1, Concat, [1]], # cat backbone P534[-1, 3, C3, [768, False]], # 153536[-1, 1, Conv, [512, 1, 1]],37[-1, 1, nn.Upsample, [None, 2, 'nearest']],38[[-1, 6], 1, Concat, [1]], # cat backbone P439[-1, 3, C3, [512, False]], # 194041[-1, 1, Conv, [256, 1, 1]],42[-1, 1, nn.Upsample, [None, 2, 'nearest']],43[[-1, 4], 1, Concat, [1]], # cat backbone P344[-1, 3, C3, [256, False]], # 23 (P3/8-small)4546[-1, 1, Conv, [256, 3, 2]],47[[-1, 20], 1, Concat, [1]], # cat head P448[-1, 3, C3, [512, False]], # 26 (P4/16-medium)4950[-1, 1, Conv, [512, 3, 2]],51[[-1, 16], 1, Concat, [1]], # cat head P552[-1, 3, C3, [768, False]], # 29 (P5/32-large)5354[-1, 1, Conv, [768, 3, 2]],55[[-1, 12], 1, Concat, [1]], # cat head P656[-1, 3, C3, [1024, False]], # 32 (P6/64-xlarge)5758[[23, 26, 29, 32], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5, P6)59]606162