Weightcalibration

[john-rocky]

Added calibration calculation to the weight of the Human model.

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

This PR adds significant updates and improvements to the YOLO iOS app, including model enhancements and UI adjustments for better user experience.

📊 Key Changes

• Project Configuration: Updated object version and build settings.
• New Source Files: Added PostProcessing.swift, HumanModel.swift, TrackingModel.swift, and SaveResults.swift.
• Updated Interface:
  • Changes to Main.storyboard and LaunchScreen.storyboard.
  • Added new images and modified existing ones in Assets.xcassets.
• Code Enhancements:
  • Added post-processing steps for model output.
  • Introduced human tracking (TrackingModel.swift) and post-processing (PostProcessing.swift).
  • Added functionality to save detection results to CSV (SaveResults.swift).
  • Enhanced bounding box functionality in BoundingBoxView.swift.
• Model Switching and Handling:
  • Separated logic for different model types (detection vs. human).
  • Added observer for device orientation changes.
  • Included functionality to adjust camera orientation dynamically in VideoCapture.swift.
  • New UI elements for task switching (detection vs. human) and tracking mode.

🎯 Purpose & Impact

• Improved Usability:
  • Enhanced the app's user interface for a smoother experience.
  • Improved handling of model switching and dynamic orientation adjustment.
  • New Task Segment Control for toggling between detection and human tasks, enhancing flexibility.
• Enhanced Features:
  • Added sophisticated post-processing and human tracking capabilities.
  • Enabled saving of detection results in a more organized CSV format for better data management.
  • Introduced more accurate and informative bounding boxes with additional inner text details.
• Developer Feedback & Modes:
  • Improved developer mode with better saving and handling of detection data.
  • Allowed real-time updates to developer settings and data-saving mechanisms.

These changes significantly enhance the application's functionality, making it more versatile and user-friendly while providing robust features for detection and tracking. 🚀📱