48 lines
2.0 KiB
YAML
48 lines
2.0 KiB
YAML
# Ultralytics YOLO 🚀, AGPL-3.0 license
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# YOLOv8 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect
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# Employs Ghost convolutions and modules proposed in Huawei's GhostNet in https://arxiv.org/abs/1911.11907v2
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# Parameters
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nc: 80 # number of classes
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scales: # model compound scaling constants, i.e. 'model=yolov8n.yaml' will call yolov8.yaml with scale 'n'
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# [depth, width, max_channels]
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n: [0.33, 0.25, 1024] # YOLOv8n-ghost summary: 403 layers, 1865316 parameters, 1865300 gradients, 5.8 GFLOPs
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s: [0.33, 0.50, 1024] # YOLOv8s-ghost summary: 403 layers, 5960072 parameters, 5960056 gradients, 16.4 GFLOPs
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m: [0.67, 0.75, 768] # YOLOv8m-ghost summary: 603 layers, 10336312 parameters, 10336296 gradients, 32.7 GFLOPs
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l: [1.00, 1.00, 512] # YOLOv8l-ghost summary: 803 layers, 14277872 parameters, 14277856 gradients, 53.7 GFLOPs
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x: [1.00, 1.25, 512] # YOLOv8x-ghost summary: 803 layers, 22229308 parameters, 22229292 gradients, 83.3 GFLOPs
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# YOLOv8.0n-ghost backbone
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backbone:
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# [from, repeats, module, args]
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- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
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- [-1, 1, GhostConv, [128, 3, 2]] # 1-P2/4
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- [-1, 3, C3Ghost, [128, True]]
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- [-1, 1, GhostConv, [256, 3, 2]] # 3-P3/8
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- [-1, 6, C3Ghost, [256, True]]
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- [-1, 1, GhostConv, [512, 3, 2]] # 5-P4/16
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- [-1, 6, C3Ghost, [512, True]]
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- [-1, 1, GhostConv, [1024, 3, 2]] # 7-P5/32
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- [-1, 3, C3Ghost, [1024, True]]
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- [-1, 1, SPPF, [1024, 5]] # 9
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# YOLOv8.0n head
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head:
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- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
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- [[-1, 6], 1, Concat, [1]] # cat backbone P4
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- [-1, 3, C3Ghost, [512]] # 12
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- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
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- [[-1, 4], 1, Concat, [1]] # cat backbone P3
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- [-1, 3, C3Ghost, [256]] # 15 (P3/8-small)
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- [-1, 1, GhostConv, [256, 3, 2]]
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- [[-1, 12], 1, Concat, [1]] # cat head P4
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- [-1, 3, C3Ghost, [512]] # 18 (P4/16-medium)
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- [-1, 1, GhostConv, [512, 3, 2]]
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- [[-1, 9], 1, Concat, [1]] # cat head P5
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- [-1, 3, C3Ghost, [1024]] # 21 (P5/32-large)
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- [[15, 18, 21], 1, Detect, [nc]] # Detect(P3, P4, P5)
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