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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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What is the difference between "SPPF/SPP -> C3" and "C3 -> SPPF/SPP" in backbone ? #13428

Open sunshanlu opened 11 hours ago

sunshanlu commented 11 hours ago

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Hello, I found that the last two layers of the backbone of the configuration file of version v5.0 of YOLOv5 use "C3 -> SPP", while the configuration file of version v6.0 uses "C3-> SPPF". I would like to ask what is the reason for this? Thank you.

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UltralyticsAssistant commented 11 hours ago

👋 Hello @sunshanlu, thank you for your interest in YOLOv5 🚀! This is an automated response to assist you while an Ultralytics engineer reviews your question.

Regarding your query about the differences between "SPPF/SPP -> C3" and "C3 -> SPPF/SPP" in different YOLOv5 versions, this pertains to architectural changes aimed at improving model performance and efficiency.

For detailed explanations on updates and improvements between versions, you can refer to the YOLOv5 release notes and documentation in the repository. Meanwhile, if you have any specific questions about these layers or their configurations, feel free to provide more details, and an Ultralytics engineer will assist you soon. 😊

If this is a 🔄 follow-up question, please include the context or examples that can help us provide a more accurate answer.

Requirements

Ensure you are using Python>=3.8.0 with all necessary requirements installed, including PyTorch>=1.8. This ensures compatibility and access to all recent features and improvements.

Please follow the usual setup flow to ensure everything is properly configured for your experiments.

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YOLOv5 can be used in various environments, including cloud instances and local setups, each offering different advantages such as GPU acceleration.

Status

Check the latest Continuous Integration (CI) status for up-to-date verifications and test passes, which confirm the functionality of YOLOv5 across different operations and platforms.

If you need further assistance with your setup or experiments, feel free to reach out! 😊

pderrenger commented 5 hours ago

@sunshanlu the change from "C3 -> SPP" in YOLOv5 v5.0 to "C3 -> SPPF" in v6.0 is primarily due to performance improvements. The SPPF (Spatial Pyramid Pooling - Fast) module replaces SPP to enhance processing speed while maintaining similar functionality. SPPF is designed to be more efficient, significantly reducing the processing time. You can find more details about this change in the YOLOv5 architecture documentation.