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# Ultralytics YOLO 🚀, AGPL-3.0 license | |
# YOLOv8 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect | |
# Parameters | |
nc: 9 # number of classes | |
scales: # model compound scaling constants, i.e. 'model=yolov8n.yaml' will call yolov8.yaml with scale 'n' | |
# [depth, width, max_channels] | |
n: [0.33, 0.25, 1024] # YOLOv8n summary: 225 layers, 3157200 parameters, 3157184 gradients, 8.9 GFLOPs | |
s: [0.33, 0.50, 1024] # YOLOv8s summary: 225 layers, 11166560 parameters, 11166544 gradients, 28.8 GFLOPs | |
m: [0.67, 0.75, 768] # YOLOv8m summary: 295 layers, 25902640 parameters, 25902624 gradients, 79.3 GFLOPs | |
l: [1.00, 1.00, 512] # YOLOv8l summary: 365 layers, 43691520 parameters, 43691504 gradients, 165.7 GFLOPs | |
x: [1.00, 1.25, 512] # YOLOv8x summary: 365 layers, 68229648 parameters, 68229632 gradients, 258.5 GFLOPs | |
# YOLOv8.0n backbone | |
backbone: | |
# [from, repeats, module, args] | |
- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2 | |
- [-1, 1, Conv, [128, 3, 2]] # 1-P2/4 | |
- [-1, 3, C2f, [128, True]] | |
- [-1, 1, GhostConv, [256, 3, 2]] # 3-P3/8 | |
- [-1, 6, C2f, [256, True]] | |
- [-1, 1, GhostConv, [512, 3, 2]] # 5-P4/16 | |
- [-1, 6, C2f, [512, True]] | |
- [-1, 1, GhostConv, [1024, 3, 2]] # 7-P5/32 | |
- [-1, 3, C2f, [1024, True]] | |
- [-1, 1, SPPF, [1024, 5]] # 9 | |
# YOLOv8.0n head | |
head: | |
- [-1, 1, nn.Upsample, [None, 2, 'nearest']] | |
- [[-1, 6], 1, Concat, [1]] # cat backbone P4 | |
- [-1, 3, C2f, [512]] # 12 | |
- [-1, 1, ResBlock_CBAM, [512]] | |
- [-1, 1, nn.Upsample, [None, 2, 'nearest']] | |
- [[-1, 4], 1, Concat, [1]] # cat backbone P3 | |
- [-1, 3, C2f, [256]] # 16 (P3/8-small) | |
- [-1, 1, ResBlock_CBAM, [256]] | |
- [-1, 1, Conv, [256, 3, 2]] | |
- [[-1, 12], 1, Concat, [1]] # cat head P4 | |
- [-1, 3, C2f, [512]] # 20 (P4/16-medium) | |
- [-1, 1, ResBlock_CBAM, [512]] | |
- [-1, 1, Conv, [512, 3, 2]] | |
- [[-1, 9], 1, Concat, [1]] # cat head P5 | |
- [-1, 3, C2f, [1024]] # 24 (P5/32-large) | |
- [-1, 1, ResBlock_CBAM, [1024]] | |
- [[17, 21, 25], 1, Detect, [nc]] # Detect(P3, P4, P5) | |