fix(detect-objects): update dependency ultralytics to v8.3.31

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
ultralytics (changelog)	8.3.29 -> 8.3.31

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Release Notes

ultralytics/ultralytics (ultralytics)

v8.3.31: - ultralytics 8.3.31 add max_num_obj factor for AutoBatch (#​17514)

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🌟 Summary

The v8.3.31 release of Ultralytics introduces enhancements to automatic batch size estimation during model training, which aims to optimize memory usage and manage CUDA memory issues more effectively.

📊 Key Changes

• Batch Size Optimization: Implemented auto_batch functionality to determine the best batch size by evaluating memory consumption.
• Improved Profiling: The profiling tools have been updated to include a max_num_obj parameter for better batch size accuracy.
• Error Management: Introduced logging for CUDA out-of-memory warnings and an automatic switch to CPU computation when necessary.
• Documentation Updates: Removed the verbose argument from training documentation as it was deemed ineffective.

🎯 Purpose & Impact

• Efficient Memory Use: Automatically adjusting batch sizes helps prevent overloading GPU memory, resulting in more efficient and stable training sessions. This is particularly beneficial for preventing abrupt interruptions due to memory errors.
• Greater Reliability: By switching to CPU processing when encountering memory errors, the system maintains training continuity, avoiding crashes and ensuring an uninterrupted user experience.
• Simplified User Experience: Streamlining training configuration by removing unnecessary options enhances usability, making the setup less complex for users.

What's Changed

• Remove verbose arg from train docs. by @​Y-T-G in https://github.com/ultralytics/ultralytics/pull/17257
• ultralytics 8.3.31 add max_num_obj factor for AutoBatch by @​Laughing-q in https://github.com/ultralytics/ultralytics/pull/17514

Full Changelog: ultralytics/ultralytics@v8.3.30...v8.3.31

v8.3.30: - ultralytics 8.3.30 run TAL on CPU if torch.OutOfMemoryError (#​17515)

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🌟 Summary

Version 8.3.30 of Ultralytics introduces a resilient fallback for running task alignment processes on CPU in case of GPU memory shortages, enhancing stability and user experience for YOLO applications. 🚀

📊 Key Changes

• Memory Management: Implemented a CPU fallback mechanism for task alignment calculations if a GPU torch.OutOfMemoryError occurs.
• Method Refactoring: Introduced a helper method _forward to elegantly manage memory overflow conditions.
• Docker and Documentation Fixes: Improved Docker image tagging and fixed a broken Jetson device documentation link.
• Enhanced Features: Simplified documentation examples and introduced a new RegionCounter module for easier region-based object counting.

🎯 Purpose & Impact

• Stability and Reliability: By ensuring task alignment processes can run on CPU under memory pressure, the update prevents application crashes and allows users with limited GPU resources to continue operations smoothly.
• User Experience: The changes make YOLO operations more flexible and robust, especially in environments with constrained computational resources, helping users to maintain performance without interruptions.
• Documentation and Usability: Improved documentation clarity makes it easier for both new and existing users to implement video analytics and other YOLO model features effectively. The RegionCounter addition simplifies integrating real-time object counting in specific video regions, broadening the tool's practical applications. 🔧

These updates and enhancements ensure that users have a smoother and more reliable experience with Ultralytics YOLO, particularly in resource-constrained settings.

What's Changed

• Fix Docker jupyter image naming by @​ambitious-octopus in https://github.com/ultralytics/ultralytics/pull/17479
• Include FPs for images with no labels in confusion matrix by @​Y-T-G in https://github.com/ultralytics/ultralytics/pull/17481
• Simplify Solutions Docs code examples by @​RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/17493
• Fix broken Jetson doc URL by @​lakshanthad in https://github.com/ultralytics/ultralytics/pull/17519
• Update models.md by @​glenn-jocher in https://github.com/ultralytics/ultralytics/pull/17525
• Add return check for 'yolo solutions help' by @​RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/17518
• Update sony-imx500.md by @​ServiAmirPM in https://github.com/ultralytics/ultralytics/pull/17491
• Fix file_name in save_crop by @​M3nxudo in https://github.com/ultralytics/ultralytics/pull/17499
• Add region counter as ultralytics solution by @​RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/17439
• ultralytics 8.3.30 run TAL on CPU if torch.OutOfMemoryError by @​Laughing-q in https://github.com/ultralytics/ultralytics/pull/17515

New Contributors

• @​ServiAmirPM made their first contribution in https://github.com/ultralytics/ultralytics/pull/17491
• @​M3nxudo made their first contribution in https://github.com/ultralytics/ultralytics/pull/17499

Full Changelog: ultralytics/ultralytics@v8.3.29...v8.3.30

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Params

	Value
lr	0.001
train	{'epochs': 2}

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