Ultralytics YOLOv8 🚀, AGPL-3.0 license

YOLOv8 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect

Parameters

nc: 6 # 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, Conv, [256, 3, 2]] # 3-P3/8
• [-1, 6, C2f, [256, True]]
• [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
• [-1, 6, C2f, [512, True]]
• [-1, 1, Conv, [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_BiFPN, [1]] # cat backbone P4

• [-1, 3, C2f, [512]] # 12

• [-1, 1, nn.Upsample, [None, 2, 'nearest']]

• [[-1, 4], 1, Concat_BiFPN, [1]] # cat backbone P3

• [-1, 3, C2f, [256]] # 15 (P3/8-small)

• [-1, 1, Conv, [256, 3, 2]]

• [[-1, 12], 1, Concat_BiFPN, [1]] # cat head P4

• [-1, 3, C2f, [512]] # 18 (P4/16-medium)

• [-1, 1, Conv, [512, 3, 2]]

• [[-1, 9], 1, Concat, [1]] # cat head P5

• [-1, 3, C2f, [1024]] # 21 (P5/32-large)

• [[15, 18, 21], 1, Detect, [nc]] # Detect(P3, P4, P5) yaml文件中将Concat改为 'Concat_BiFPN'出错，显示Cannot find declaration to go to内容：The error message 'Cannot find declaration to go to' typically occurs when there is a syntax error in the code. In this case, it seems like the syntax for the 'Concat_BiFPN' layer is incorrect.

To resolve this issue, you can try the following:

1. Check the documentation or source code of the Ultralytics YOLO model to ensure that 'Concat_BiFPN' is the correct name for the layer. It's possible that the name has changed or that the layer is not supported in the version of the model you are using.

2. If 'Concat_BiFPN' is indeed the correct name, make sure that it is imported correctly. Check if there is an import statement at the beginning of the code that imports the necessary modules and layers.

3. If the above steps do not resolve the issue, you can try removing the 'Concat_BiFPN' layer and see if the code runs without it. Alternatively, you can try replacing it with a different layer that serves a similar purpose.

Remember to double-check the syntax and ensure that all indentation and brackets are correct.