When export yolov8 .pt model to onnx ,the output is diff about ultralytics

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Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

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[glenn-jocher]

Hello! It looks like there's a difference in the output tensor shapes due to the number of anchors or classes used in your model compared to the demo. Here's what you can do:

1. Check Anchor Configuration: Ensure that your model's anchor configuration matches what the demo expects. Differences in the number of anchors can change the output dimensions.

2. Validate Classes Count: Verify that the number of classes in your training configuration is the same as in the demo's model. Different class counts will alter the output shape.

3. Adjust Onnx Export: When exporting to ONNX, you can specify the output format for compatibility with your implementation. Here’s a sample snippet for your reference:

yolo export model=path/to/your_model.pt format=onnx imgsz=640

If you're still facing issues, please share more details or the specific error messages you're encountering so I can assist better. Happy coding! 😊