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29 lines
920 B
29 lines
920 B
# Ultralytics YOLO 🚀, AGPL-3.0 license |
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# YOLOv8-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify |
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# Parameters |
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nc: 1000 # number of classes |
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scales: # model compound scaling constants, i.e. 'model=yolov8n-cls.yaml' will call yolov8-cls.yaml with scale 'n' |
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# [depth, width, max_channels] |
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n: [0.33, 0.25, 1024] |
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s: [0.33, 0.50, 1024] |
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m: [0.67, 0.75, 1024] |
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l: [1.00, 1.00, 1024] |
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x: [1.00, 1.25, 1024] |
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# YOLOv8.0n 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, Conv, [128, 3, 2]] # 1-P2/4 |
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- [-1, 3, C2f, [128, True]] |
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- [-1, 1, Conv, [256, 3, 2]] # 3-P3/8 |
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- [-1, 6, C2f, [256, True]] |
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- [-1, 1, Conv, [512, 3, 2]] # 5-P4/16 |
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- [-1, 6, C2f, [512, True]] |
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- [-1, 1, Conv, [1024, 3, 2]] # 7-P5/32 |
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- [-1, 3, C2f, [1024, True]] |
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# YOLOv8.0n head |
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head: |
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- [-1, 1, Classify, [nc]] # Classify
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