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@glenn-jocher glenn-jocher commented Apr 3, 2022

πŸ› οΈ PR Summary

Made with ❀️ by Ultralytics Actions

🌟 Summary

Enhanced ONNX export compatibility for YOLOv5 object detection.

πŸ“Š Key Changes

  • Added an export flag to the Detect class to enable a specific mode during model export.
  • Modified the forward method logic in Detect to accommodate the new export flag.
  • Set the export flag to True in export.py to activate the mode when exporting models.

🎯 Purpose & Impact

  • πŸ›  Purpose: Simplifies the model export process by allowing the Detect layer to adapt its output specifically for export scenarios, such as when converting to ONNX format.
  • πŸš€ Impact: Users exporting YOLOv5 models to ONNX for deployment in different environments will experience a more streamlined process with fewer compatibility issues.

@glenn-jocher glenn-jocher self-assigned this Apr 3, 2022
@glenn-jocher glenn-jocher merged commit 05cf0d1 into master Apr 3, 2022
@glenn-jocher glenn-jocher deleted the export/single_output branch April 3, 2022 19:29
BjarneKuehl pushed a commit to fhkiel-mlaip/yolov5 that referenced this pull request Aug 26, 2022
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