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47 lines
1.5 KiB
47 lines
1.5 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license |
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# YOLOv8-pose keypoints/pose estimation model. For Usage examples see https://docs.ultralytics.com/tasks/pose |
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# Parameters |
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nc: 1 # number of classes |
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kpt_shape: [17, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible) |
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scales: # model compound scaling constants, i.e. 'model=yolov8n-pose.yaml' will call yolov8-pose.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, 768] |
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l: [1.00, 1.00, 512] |
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x: [1.00, 1.25, 512] |
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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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- [-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, C2f, [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, C2f, [256]] # 15 (P3/8-small) |
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- [-1, 1, Conv, [256, 3, 2]] |
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- [[-1, 12], 1, Concat, [1]] # cat head P4 |
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- [-1, 3, C2f, [512]] # 18 (P4/16-medium) |
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- [-1, 1, Conv, [512, 3, 2]] |
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- [[-1, 9], 1, Concat, [1]] # cat head P5 |
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- [-1, 3, C2f, [1024]] # 21 (P5/32-large) |
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- [[15, 18, 21], 1, Pose, [nc, kpt_shape]] # Pose(P3, P4, P5)
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