YOLOv8 Combined with Channel Attention

[msabrimas]

Is there a yaml configuration file for the combination of yolov8 with several attention modules? such as ShuffleAttention, GAMAttention, NAMA, CBAM or others?

[glenn-jocher]

@msabrimas hello! In the current YOLOv8 repository, we don't provide a specific YAML configuration file for combining YOLOv8 with attention modules like ShuffleAttention, GAMAttention, NAMA, or CBAM. However, YOLOv8 is designed to be modular and flexible, allowing for experimentation with different neural network components.

If you're interested in integrating attention mechanisms into YOLOv8, you would typically need to modify the model's architecture by incorporating the attention modules into the network layers. This would involve editing the model definition and potentially the forward pass to include the attention mechanisms.

For guidance on how to customize the model architecture, you can refer to the documentation on our website. Keep in mind that adding such modules will require a good understanding of the model's structure and PyTorch. Happy experimenting, and we're excited to see what enhancements the community can bring to YOLOv8! 🚀