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Updated Segmentation and Classification usage #9607

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merged 4 commits into from
Sep 26, 2022

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@glenn-jocher glenn-jocher commented Sep 26, 2022

Signed-off-by: Glenn Jocher glenn.jocher@ultralytics.com

🛠️ PR Summary

Made with ❤️ by Ultralytics Actions

🌟 Summary

Enhanced export script with dynamic path and script handling for different model types.

📊 Key Changes

  • Automatic detection of the model type (detection, segmentation, classification) during export.
  • Dynamic generation of the output directory and prediction script based on the model type.
  • Tailored output messages for each model type, providing specific instructions for detection, validation, and visualization.

🎯 Purpose & Impact

  • Purpose: Streamline the export process for various types of models (detection, segmentation, classification) within the YOLOv5 framework.
  • Impact: Users can now export models with greater ease, receiving model-specific instructions that reduce the chance of errors and improve the overall user experience. It simplifies the workflow for developers working with different kinds of models, promoting a more structured and effortless deployment.

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
@glenn-jocher glenn-jocher merged commit a5748e4 into master Sep 26, 2022
@glenn-jocher glenn-jocher deleted the glenn-jocher-patch-2 branch September 26, 2022 18:10
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